component-runtime-junit is a test library that allows you to validate simple logic based on the Talend Component Kit tooling. To import it, add the following dependency to your project: This dependency also provides mocked components that you can use with your own component to create tests. The mocked components are provided under the test family: emitter : a mock of an input component collector : a mock of an output component The collector is "per thread" by default. If you are executing a Beam (or concurrent) job, it will not work. To switch to a JVM wide storage, set the talend.component.junit.handler.state system property to static (default being thread). You can do it in a maven-surefire-plugin execution. You can define a standard JUnit test and use the SimpleComponentRule rule: The rule can also be defined as a @ClassRule to start it once per class and not per test as with @Rule. To go further, you can add the ServiceInjectionRule rule, which allows to inject all the component family services into the test class by marking test class fields with @Service: The JUnit 5 integration is very similar to JUnit 4, except that it uses the JUnit 5 extension mechanism. The entry point is the @WithComponents annotation that you add to your test class, and which takes the component package you want to test. You can use @Injected to inject an instance of ComponentsHandler - which exposes the same utilities than the JUnit 4 rule - in a test class field : If you use JUnit 5 for the first time, keep in mind that the imports changed and that you need to use org.junit.jupiter.api.Test instead of org.junit.Test. Some IDE versions and surefire versions can also require you to install either a plugin or a specific configuration. As for JUnit 4, you can go further by injecting test class fields marked with @Service, but there is no additional extension to specify in this case: Streaming components have the issue to not stop by design. The Job DSL exposes two properties to help with that issue: streaming.maxRecords: enables to request a maximum number of records streaming.maxDurationMs: enables to request a maximum duration for the execution of the input You can set them as properties on the job: Using the test://collector component as shown in the previous sample stores all records emitted by the chain (typically your source) in memory. You can then access them using theSimpleComponentRule.getCollectedData(type). Note that this method filters by type. If you don’t need any specific type, you can use Object.class. The input mocking is symmetric to the output. In this case, you provide the data you want to inject: The component configuration is a POJO (using @Option on fields) and the runtime configuration (ExecutionChainBuilder) uses a Map. To make the conversion easier, the JUnit integration provides a SimpleFactory.configurationByExample utility to get this map instance from a configuration instance. Example: The same factory provides a fluent DSL to create the configuration by calling configurationByExample without any parameter. The advantage is to be able to convert an object as a Map or as a query string in order to use it with the Job DSL: It handles the encoding of the URI to ensure it is correctly done. When writing tests for your components, you can force the maxBatchSize parameter value by setting it with the following syntax: $configuration.$maxBatchSize=10. The SimpleComponentRule also allows to test a mapper unitarily. You can get an instance from a configuration and execute this instance to collect the output. Example: As for a mapper, a processor is testable unitary. However, this case can be more complex in case of multiple inputs or outputs. Example: The rule allows you to instantiate a Processor from your code, and then to collect the output from the inputs you pass in. There are two convenient implementations of the input factory: MainInputFactory for processors using only the default input. JoinInputfactory with the withInput(branch, data) method for processors using multiple inputs. The first argument is the branch name and the second argument is the data used by the branch. If needed, you can also implement your own input representation using org.talend.sdk.component.junit.ControllableInputFactory. The following artifact allows you to test against a Spark cluster: The testing relies on a JUnit TestRule. It is recommended to use it as a @ClassRule, to make sure that a single instance of a Spark cluster is built. You can also use it as a simple @Rule, to create the Spark cluster instances per method instead of per test class. The @ClassRule takes the Spark and Scala versions to use as parameters. It then forks a master and N slaves. Finally, the submit* method allows you to send jobs either from the test classpath or from a shade if you run it as an integration test. For example: This testing methodology works with @Parameterized. You can submit several jobs with different arguments and even combine it with Beam TestPipeline if you make it transient. The integration of that Spark cluster logic with JUnit 5 is done using the @WithSpark marker for the extension. Optionally, it allows you to inject—through @SparkInject—the BaseSpark handler to access the Spark cluster meta information. For example, its host/port. Example: Currently, SparkClusterRule does not allow to know when a job execution is done, even by exposing and polling the web UI URL to check. The best solution at the moment is to make sure that the output of your job exists and contains the right value. awaitability or any equivalent library can help you to implement such logic: To wait until a file exists and check that its content (for example) is the expected one, you can use the following logic: The HTTP JUnit module allows you to mock REST API very simply. The module coordinates are: This module uses Apache Johnzon and Netty. If you have any conflict (in particular with Netty), you can add the shaded classifier to the dependency. This way, both dependencies are shaded, which avoids conflicts with your component. It supports both JUnit 4 and JUnit 5. The concept is the exact same one: the extension/rule is able to serve precomputed responses saved in the classpath. You can plug your own ResponseLocator to map a request to a response, but the default implementation - which should be sufficient in most cases - looks in talend/testing/http/_.json. Note that you can also put it in talend/testing/http/.json. JUnit 4 setup is done through two rules: JUnit4HttpApi, which is starts the server. JUnit4HttpApiPerMethodConfigurator, which configures the server per test and also handles the capture mode. If you don’t use the JUnit4HttpApiPerMethodConfigurator, the capture feature is disabled and the per test mocking is not available. For tests using SSL-based services, you need to use activeSsl() on the JUnit4HttpApi rule. You can access the client SSL socket factory through the API handler: Sometimes the query parameters are sensitive and you don’t want to store them when capturing. In such cases, you can drop them from the captured data (.json) and the mock implementation will be able to match the request ignoring the query parameters. JUnit 5 uses a JUnit 5 extension based on the HttpApi annotation that you can add to your test class. You can inject the test handler - which has some utilities for advanced cases - through @HttpApiInject: The injection is optional and the @HttpApi annotation allows you to configure several test behaviors. For tests using SSL-based services, you need to use @HttpApi(useSsl = true). You can access the client SSL socket factory through the API handler: The strength of this implementation is to run a small proxy server and to auto-configure the JVM: http[s].proxyHost, http[s].proxyPort, HttpsURLConnection#defaultSSLSocketFactory and SSLContext#default are auto-configured to work out-of-the-box with the proxy. It allows you to keep the native and real URLs in your tests. For example, the following test is valid: If you execute this test, it fails with an HTTP 400 error because the proxy does not find the mocked response. You can create it manually, as described in component-runtime-http-junit, but you can also set the talend.junit.http.capture property to the folder storing the captures. It must be the root folder and not the folder where the JSON files are located (not prefixed by talend/testing/http by default). In most cases, use src/test/resources. If new File("src/test/resources") resolves the valid folder when executing your test (Maven default), then you can just set the system property to true. Otherwise, you need to adjust accordingly the system property value. When set to false, the capture is enabled. Instead, captures are saved in a false/ directory. When the tests run with this system property, the testing framework creates the correct mock response files. After that, you can remove the system property. The tests will still pass, using google.com, even if you disconnect your machine from the Internet. If you set the talend.junit.http.passthrough system property to true, the server acts as a proxy and executes each request to the actual server - similarly to the capturing mode. With its @ParameterizedTest, you can want to customize the name of the output file for JUnit 5 based captures/mocks. Concretely you want to ensure the replay of the same method with different data lead to different mock files. By default the framework will use the display name of the test to specialize it but it is not always very friendly. If you want some more advanced control over the name you can use @HttpApiName("myCapture.json") on the test method. To parameterize the name using @HttpApiName, you can use the placeholders ${class} and ${method} which represents the declaring class and method name, and ${displayName} which represents the method name. Here is an example to use the same capture file for all repeated test: And here, the same example but using different files for each repetition:

The following tutorials are designed to help you understand the main principles of component development using Talend Component Kit. With this set of tutorials, get your hands on project creation using the Component Kit Starter and implement the logic of different types of components. Creating your first component Generating a project from the starter Creating a Hazelcast input component Creating a Hazelcast output component Creating a Zendesk REST API connector Handling component version migration With this set of tutorials, learn the different approaches to test the components created in the previous tutorials. testing a Zendesk REST API connector testing a Hazelcast component testing in a continuous integration environment

This section mainly concerns tools that can be used with JUnit. You can use most of these best practices with TestNG as well. Parameterized tests are a great solution to repeat the same test multiple times. This method of testing requires defining a test scenario (I test function F) and making the input/output data dynamic. Here is a test example, which validates a connection URI using ConnectionService: The testing method is always the same. Only values are changing. It can therefore be rewritten using JUnit Parameterized runner, as follows: You don’t have to define a single @Test method. If you define multiple methods, each of them is executed with all the data. For example, if another test is added to the previous example, four tests are executed - 2 per data). With JUnit 5, parameterized tests are easier to use. The full documentation is available at junit.org/junit5/docs/current/user-guide/#writing-tests-parameterized-tests. The main difference with JUnit 4 is that you can also define inline that the test method is a parameterized test as well as the values to use: However, you can still use the previous behavior with a method binding configuration: This last option allows you to inject any type of value - not only primitives - which is common to define scenarios. Add the junit-jupiter-params dependency to benefit from this feature.

This tutorial focuses on writing unit tests for the input component that was created in this previous tutorial. This tutorial covers: How to load components in a unit test. How to create a job pipeline. How to run the test in standalone mode. The test class is as follows:

Several data generators exist if you want to populate objects with a semantic that is more evolved than a plain random string like commons-lang3: github.com/Codearte/jfairy github.com/DiUS/java-faker github.com/andygibson/datafactory etc. Even more advanced, the following generators allow to directly bind generic data on a model. However, data quality is not always optimal: github.com/devopsfolks/podam github.com/benas/random-beans etc. There are two main kinds of implementation: Implementations using a pattern and random generated data. Implementations using a set of precomputed data extrapolated to create new values. Check your use case to know which one fits best. An alternative to data generation can be to import real data and use Talend Studio to sanitize the data, by removing sensitive information and replacing it with generated or anonymized data. Then you just need to inject that file into the system. If you are using JUnit 5, you can have a look at glytching.github.io/junit-extensions/randomBeans.

Developing new components includes testing them in the required execution environments. Use the following articles to learn about the best practices and the available options to fully test your components. Component testing best practices Component testing kit Beam testing testing in multiple environments Reusing Maven credentials Generating data for testing Simple/Test Pipeline API Beam Pipeline API

TCOMP-2369: Make DateTime option configurable api TCOMP-2365: Add missing add-opens needed by some connectors to component-server component-server TCOMP-2370: [RunConv] Prep output: the "operation key" field in additional parameters had an empty list instead of the list of table columns. component-server TCOMP-2348: Upgrade tomcat to 9.0.69 component-server TCOMP-2349: Upgrade netty to 4.1.87.Final testing TCOMP-2366: Replace JAVA_OPTS by JDK_JAVA_OPTIONS component-server TCOMP-2371: [TCK JDBC]: Studio dynamic column metadata info : isKey should follow runtime dynamic object, not the input component’s studio schema studio-integration TCOMP-2365: Add missing add-opens needed by some connectors to component-server component-server TCOMP-2370: [RunConv] Prep output: the "operation key" field in additional parameters had an empty list instead of the list of table columns. component-server TCOMP-2366: Replace JAVA_OPTS by JDK_JAVA_OPTIONS component-server TCOMP-2165: Support connectors in TOS schema-record studio studio-integration TCOMP-2330: Improve JVM version check component-manager TCOMP-2327: Upgrade cxf to 3.5.5 due to CVE-2022-46364 TCOMP-2328: Upgrade woodstox to 6.4.0 due to CVE-2022-40152 TCOMP-2334: Upgrade netty to 4.1.86.Final testing TCOMP-2335: Upgrade commons-net to 3.9.0 documentation TCOMP-2336: Allow component-server to not fail on empty/not found component-registry descriptor component-server TCOMP-2340: Reduce warning on jmx registration component-manager TCOMP-2365: Add missing add-opens needed by some connectors to component-server component-server TCOMP-2370: [RunConv] Prep output: the "operation key" field in additional parameters had an empty list instead of the list of table columns. component-server TCOMP-2366: Replace JAVA_OPTS by JDK_JAVA_OPTIONS component-server TCOMP-2330: Improve JVM version check component-manager TCOMP-2327: Upgrade cxf to 3.5.5 due to CVE-2022-46364 TCOMP-2328: Upgrade woodstox to 6.4.0 due to CVE-2022-40152 TCOMP-2311: DiscoverSchemaExtended validation is too strict maven-plugin TCOMP-2313: Entries order is not preserved when updating entry name schema-record TCOMP-2321: Record.Builder.with() does not allow null value for datetime schema-record TCOMP-2237: Create a streaming configuration section for documentation documentation TCOMP-2308: component-runtime-http-junit capture headers case sensitivity testing TCOMP-2365: Add missing add-opens needed by some connectors to component-server component-server TCOMP-2370: [RunConv] Prep output: the "operation key" field in additional parameters had an empty list instead of the list of table columns. component-server TCOMP-2366: Replace JAVA_OPTS by JDK_JAVA_OPTIONS component-server TCOMP-2330: Improve JVM version check component-manager TCOMP-2311: DiscoverSchemaExtended validation is too strict maven-plugin TCOMP-2313: Entries order is not preserved when updating entry name schema-record TCOMP-2241: [Runtime convergence] : Join connector fails - No translator known api beam TCOMP-2303: Pattern validation error in JsonSchemaValidatorExt component-form TCOMP-2304: talend-component:web goal may fail with java >= 17 maven-plugin TCOMP-2277: Complete the TCK schema’s entry properties schema-record TCOMP-2285: Support of qualifier in version of connectors to be loaded by the component manager component-manager TCOMP-2291: Provide to streaming connectors the stop strategy applied component-manager TCOMP-2297: Support flow return var for tck connector in studio studio studio-integration TCOMP-2236: Streaming stop strategy in livy jobs beam component-manager TCOMP-2265: Upgrade beam to 2.37.0 beam TCOMP-2272: Use java 17 TSBI image for component-server component-server starter tsbi TCOMP-2294: Upgrade batik to 1.16 maven-plugin TCOMP-2295: Upgrade tomcat to 9.0.68 component-server TCOMP-2296: Upgrade jsoup to 1.15.3 documentation TCOMP-2298: Upgrade netty to 4.1.85.Final testing TCOMP-2311: DiscoverSchemaExtended validation is too strict maven-plugin TCOMP-2313: Entries order is not preserved when updating entry name schema-record TCOMP-2303: Pattern validation error in JsonSchemaValidatorExt component-form TCOMP-2241: [Runtime convergence] : Join connector fails - No translator known api beam TCOMP-2236: Streaming stop strategy in livy jobs beam component-manager TCOMP-2289: Payload validator fails on regexp matching component-manager TCOMP-2186: Guess schema service for processors api schema-record TCOMP-2276: Make Streaming stop strategy configurable component-manager studio TCOMP-1998: Remove component-server-vault-proxy from cloud environments component-server component-server-vault-proxy helm-charts vault-client TCOMP-2256: Replace nashorn javascript engine by rhino component-manager studio TCOMP-2259: Support db column name/length/precision with guess schema for all types studio TCOMP-2268: Upgrade jib to 0.22.0 remote-engine-customizer starter tsbi TCOMP-2273: Upgrade TSBI to 3.0.8-20220928070500 component-server starter tsbi TCOMP-2274: Move component-starter-server to TSBI starter TCOMP-2275: Use java 17 TSBI image for CI build build tsbi TCOMP-2286: Upgrade jackson to 2.13.4 TCOMP-2287: Upgrade commons-text to 1.10.0 documentation TCOMP-2276: Make Streaming stop strategy configurable component-manager studio TCOMP-2239: Fix Record.Builder interface to avoid API break schema-record TCOMP-2226: Implement a default UI for streaming sources for user configuration of a StopStrategy component-form component-manager TCOMP-2234: Override blocking read process in streaming connectors component-manager studio TCOMP-2258: @Documentation to tooltips in uiSchema component-form component-server TCOMP-2147: Decrease log level for blacklisted dependencies component-manager TCOMP-2228: Upgrade git-commit-id-plugin to 4.9.10 TCOMP-2232: Upgrade slf4j to 1.7.34 TCOMP-2238: Upgrade jib-core to 0.16.0 TCOMP-2249: Upgrade johnzon to 1.2.19 TCOMP-2251: Upgrade jackson to 2.13.3 TCOMP-2252: MavenRepositoryResolver call fallback only it’s needed component-manager TCOMP-2257: Upgrade meecrowave to 1.2.14 component-manager TCOMP-2263: Upgrade openwebbeans-se to 2.0.27 component-manager TCOMP-2264: Upgrade TSBI to 3.0.5-20220907120958 tsbi TCOMP-2239: Fix Record.Builder interface to avoid API break schema-record TCOMP-2182: Guess Schema in Studio always uses version of component 1 studio studio-integration TCOMP-2190: Handle partial messages for large payloads in websocket communications component-server studio TCOMP-2107: Implement a stop strategy for streaming input connectors component-manager studio TCOMP-2177: Suppress illegal reflective access operation has occurred warnings component-manager TCOMP-2163: [QA] Component Runtime API test Framework testing TCOMP-2187: Introduce IntegerConstraintEnricher component-form TCOMP-2204: Upgrade netty to 4.1.79.Final TCOMP-2205: Upgrade crawler-commons to 1.3 TCOMP-2206: Upgrade guava to 31.1-jre TCOMP-2207: Upgrade maven to 3.8.6 TCOMP-2208: Upgrade maven-shade-plugin to 3.3.0 build TCOMP-2209: Upgrade junit5 to 5.9.0 TCOMP-2210: Upgrade tomcat to 9.0.63 TCOMP-2211: Upgrade cxf to 3.5.2 TCOMP-2212: Upgrade bndlib to 5.2.0 TCOMP-2217: Update rat-plugin to 0.14 build TCOMP-2219: Add API to convert data in Record schema-record TCOMP-2223: Upgrade log4j to 2.18.0 TCOMP-2227: Upgrade commons-io to 2.9.0 TCOMP-2229: Upgrade jcommander to 1.81 TCOMP-2230: Allow specific context UI TCOMP-2233: support decimal type TCOMP-2190: Handle partial messages for large payloads in websocket communications component-server studio TCOMP-2177: Suppress illegal reflective access operation has occurred warnings component-manager TCOMP-2177: Suppress illegal reflective access operation has occurred warnings component-manager TCOMP-2176: Record : Infinite loop schema-record TCOMP-2146: Car bundler improvements car-bundler maven-plugin TCOMP-2151: Add documentation translation to metadata component-server TCOMP-2132: Optimisation for preparation schema-record TCOMP-2143: [JDBC TCK]: Support MODULE_LIST field for studio in tck connector ui for driver jars choose studio TCOMP-2152: Upgrade jackson to 2.13.2 beam bom maven-plugin TCOMP-2153: Bump netty to 4.1.77.Final due to CVE CVE-2022-24823 testing TCOMP-2154: Upgrade maven-settings to 3.8.5 due to CVE-2021-26291 build TCOMP-2155: Upgrade jdom2 to 2.0.6.1 due to CVE-2021-33813 beam TCOMP-2164: Ensure that decryption is done only on credential fields component-server vault-client TCOMP-2171: Add component type to ComponentIndex component-server TCOMP-2152: Upgrade jackson to 2.13.2 beam bom maven-plugin TCOMP-2146: Car bundler improvements car-bundler maven-plugin TCOMP-2111: [Runtime convergence] : Join connector fails in cloud environment with hybrid tck/beam connectors api beam TCOMP-2123: Bug on order columns for Avro Impl beam schema-record TCOMP-2127: Fix avro records where array contains nullable array beam schema-record TCOMP-2131: starter-toolkit fails when generating a connector from openapi description starter TCOMP-2133: component-registry uses detailed version not baseVersion in snapshot case build maven-plugin TCOMP-2134: Activate intellij plugin by default intellij starter TCOMP-2138: starter-toolkit github repository creation process fails starter TCOMP-2135: Component web tester in non interactive mode component-server maven-plugin testing TCOMP-2126: give default implementation to Record.Builder to not break api api TCOMP-2130: Add git informations in starter-toolkit’s environment starter TCOMP-2127: Fix avro records where array contains nullable array beam schema-record TCOMP-2130: Add git informations in starter-toolkit’s environment starter TCOMP-2126: give default implementation to Record.Builder to not break api api TCOMP-2085: Add extras manipulations on Record BuilderImpl beam schema-record TCOMP-2102: Wrong maven resolution with car when using snapshot in prepare-repository goal build maven-plugin TCOMP-2119: Avro Record : array containing Null. beam schema-record TCOMP-2112: [JDBC] discover schema API is failing on production. build maven-plugin TCOMP-2103: Link affected jira components to issue in changelog as keywords for search documentation TCOMP-2098: Improve m2 discovery process documentation TCOMP-2104: Header link should be linked to latest path documentation TCOMP-2105: Upgrade Tomcat to 9.0.60 component-server maven-plugin starter TCOMP-2108: Upgrade maven plugins TCOMP-2109: Upgrade git-commit-id-plugin to 4.0.5 TCOMP-2110: Replace log4j by reload4j stitch TCOMP-2114: Upgrade TSBI to 2.9.27-20220331162145 component-server component-server-vault-proxy starter tsbi TCOMP-2115: Upgrade jackson to 2.12.6 due to CVE-2020-36518 bom TCOMP-2116: Upgrade log4j2 to 2.17.2 TCOMP-2117: Upgrade slf4j to 1.7.33 TCOMP-2118: Upgrade tomcat to 9.0.62 (mitigation for CVE-2022-22965) component-server component-server-vault-proxy starter TDI-47693 : fix misaligned openwebbeans-spi dependency studio TCOMP-2003: Maven dependency classifier considered as version in dependencies.txt by Studio TCOMP-2096: Support BigDecimal type in DI integration TCOMP-2087: Upgrade Tomcat to 9.0.59 due to CVE-2022-23181 TCOMP-2088: Upgrade OpenWebBeans to 2.0.26 TCOMP-2089: Upgrade meecrowave to 1.2.13 TCOMP-2090: Upgrade johnzon to 1.2.16 TCOMP-2091: Upgrade Beam to 2.36.0 TCOMP-2092: MvnCoordinateToFileConverter fakes classifiers' support TCOMP-2093: Improve component-runtime documentation site TCOMP-2097: Upgrade cxf to 3.5.1 TCOMP-1803: RecordBuilder.withRecord(final String name, final Record value) doesn’t accept null value TCOMP-2079: Intellij plugin fails on plugin startup TCOMP-2080: AvroRecord refuses Union[null, RecordSchema] TCOMP-2082: ComponentManager’s findDefaultM2 method takes comment as granted TCOMP-2058: Add dependencies on config TCOMP-2074: Change JSON log format to conform to ECS TCOMP-2083: Give component-runtime version on ComponentManager startup TCOMP-2084: Allow use of i18n in connectors' metadata for custom labels TCOMP-2079: Intellij plugin fails on plugin startup TCOMP-2080: AvroRecord refuses Union[null, RecordSchema] TCOMP-2082: ComponentManager’s findDefaultM2 method takes comment as granted TCOMP-2063: Avro Record Constructor TCOMP-2064: NPE with lookup missconfiguration in Join processor TCOMP-2067: Bug on order columns TCOMP-2071: Define default methods on Schema / Entry / Record interfaces TCOMP-2045: Pass and read meta information about columns. TCOMP-2072: Ligthen parameters for component-server docker image TCOMP-2057: AvroSchema : optimize getType by using type fields TCOMP-2060: Upgrade log4j2 to 2.17.0 due to CVE-2021-45105 TCOMP-2061: Upgrade netty to 4.1.72.Final due to CVE-2021-43797 TCOMP-2065: Internationalized Services as Serializable TCOMP-2068: Upgrade log4j2 to 2.17.1 due to CVE-2021-44832 TCOMP-2069: Create a latest tag for component-runtime images TCOMP-2070: Upgrade TSBI to 2.9.18-20220104141654 TCOMP-2073: Upgrade maven-core to 3.8.4 due to CVE TCOMP-2047: RecordBuilder in RowstructVisitor keeps values TCOMP-2048: RowstructVisitor should respect case in member not java convention TCOMP-2049: Incompatible class change on Entry TCOMP-2053: Migration failing when using custom java code in configuration TCOMP-2018: Optimize Avro Record TCOMP-2054: Upgrade log4j2 to 2.16.0 due to CVE-2021-44228 TCOMP-2053: Migration failing when using custom java code in configuration TCOMP-2054: Upgrade log4j2 to 2.16.0 due to CVE-2021-44228 TCOMP-2049: Incompatible class change on Entry TCOMP-2047: RecordBuilder in RowstructVisitor keeps values TCOMP-2048: RowstructVisitor should respect case in member not java convention TCOMP-2019: Sanitized columns name collision support TCOMP-2021: Missing logic when handling null date values in Record TCOMP-2046: Rowstruct visitor recreates schema at each incoming row TCOMP-2004: [Runtime convergence] New tck/API to retrieve dataset full content TCOMP-2008: Add ability to insert a schema entry on Record BuilderImpl TCOMP-1924: Support Java 17 runtime TCOMP-2023: Upgrade gradle to 6.9.1 TCOMP-2024: Upgrade maven-bundle-plugin to 4.2.1 TCOMP-2025: Upgrade documentation to latest TCOMP-2027: Upgrage junit to 5.8.1 TCOMP-2028: Provide nashorn scripting engine when using java15+ TCOMP-2029: Upgrade jaxb to 2.3.5 TCOMP-2030: Upgrade Tomcat to 9.0.54 due to CVE-2021-42340 TCOMP-2031: Upgrade Beam to 2.33.0 TCOMP-2032: Upgrade Spark to 3.2.0 TCOMP-2035: Check build w/ Java 17 on CI TCOMP-2036: Upgrade cxf to 3.4.5 TCOMP-2037: Upgrade johnzon to 1.2.15 TCOMP-2038: Upgrade bouncycastle to 1.69 TCOMP-2042: Return a key related to version of connector services and its content TCOMP-2043: Upgrade spotless to 2.17.3 and talend-java-formatter to 0.2.2 TCOMP-2044: Upgrade TSBI to 2.9.2-20211106085418 TCOMP-2327: Upgrade cxf to 3.5.5 due to CVE-2022-46364 TCOMP-2328: Upgrade woodstox to 6.4.0 due to CVE-2022-40152 TCOMP-2294: Upgrade batik to 1.16 maven-plugin TCOMP-2295: Upgrade tomcat to 9.0.68 component-server TCOMP-2045: Pass and read meta information about columns. studio-integration TCOMP-2096: Support BigDecimal type in DI integration schema-record studio studio-integration TCOMP-2070: Upgrade TSBI to 2.9.18-20220104141654 build component-server component-server-vault-proxy tsbi TCOMP-2105: Upgrade Tomcat to 9.0.60 component-server maven-plugin starter TCOMP-2030: Upgrade Tomcat to 9.0.54 due to CVE-2021-42340 TCOMP-2053: Migration failing when using custom java code in configuration TCOMP-2054: Upgrade log4j2 to 2.16.0 due to CVE-2021-44228 TCOMP-2048: RowstructVisitor should respect case in member not java convention TCOMP-2047: RecordBuilder in RowstructVisitor keeps values TCOMP-2046: Rowstruct visitor recreates schema at each incoming row TCOMP-1963: Missing IMetaDataColumn fields in guess schema TCOMP-1987: Avro record : Array of Array of records issue TCOMP-1988: Unable to run component-runtime connectors in Studio with JDK 17 TCOMP-2005: Non defined columns appear in schema TCOMP-2006: Support empty values for Numbers case TCOMP-2010: Error on Documentation build on "less" usage TCOMP-2020: talend-component-kit-intellij-plugin module build fails using Bintray (decomissioned) TCOMP-1900: Create jenkins release process for component-runtime TCOMP-1997: Enable plugins reloading according criteria TCOMP-2000: Upgrade netty to 4.1.68.Final TCOMP-2001: Upgrade Beam to 2.32.0 TCOMP-2007: connectors as a json object in Environment TCOMP-2009: Upgrade dockerfile-maven-plugin to 1.4.13 TCOMP-2016: UiSchema can’t hold advanced titleMap for more advanded datalist widgets TCOMP-2007: connectors as a json object in Environment TCOMP-1957: Avro schema builder issue TCOMP-1994: WebSocketClient$ClientException when executing action in Studio TCOMP-1923: Record : add metadata TCOMP-1990: Update jsoup to 1.14.2 due to CVE-2021-37714 TCOMP-1991: Update groovy to 3.0.9 due to CVE-2021-36373 / CVE-2021-36374 TCOMP-1992: Update lombok to 1.18.20 TCOMP-1993: Update TSBI to 2.9.0-20210907155713 TCOMP-1995: Expose the connectors (global) version in the "Environment" response TCOMP-1996: BaseService must not define equals & hashcode TCOMP-1994: WebSocketClient$ClientException when executing action in Studio TCOMP-1904: Delegate Avro record in AvroRecord seems to be invalid TCOMP-1967: goal uispec generation failure TCOMP-1983: fix module inclusion in dependencies.txt when build is java9+ TCOMP-1981: Allow to filter artifacts in car file generation TCOMP-1982: Allow to include extra artifacts in car file generation TCOMP-1876: Make schemaImpl immutable TCOMP-1885: Service Serializable TCOMP-1906: Redefine equals on RecordImpl TCOMP-1955: Upgrade cxf to 3.4.4 due to CVE-2021-30468 TCOMP-1966: Upgrade Tomcat to 9.0.50 due to CVE-2021-33037 TCOMP-1968: Upgrade maven to 3.8.1 TCOMP-1969: Upgrade Beam to 2.31.0 TCOMP-1970: Upgrade jackson to 2.12.1 TCOMP-1971: Upgrade Junit to 5.8.0-M1 TCOMP-1972: Upgrade slf4j to 1.7.32 TCOMP-1973: Upgrade log4j to 2.14.1 TCOMP-1974: Upgrade commons-compress to 1.21 due to CVE-2021-36090 TCOMP-1975: Upgrade TSBI to 2.8.2-20210722144648 TCOMP-1976: Upgrade meecrowave to 1.2.11 TCOMP-1977: Upgrade OpenWebBeans to 2.0.23 TCOMP-1978: Upgrade tomcat to 9.0.44 TCOMP-1979: Upgrade xbean to 4.20 TCOMP-1980: Upgrade meecrowave to 1.2.12 TCOMP-1967: goal uispec generation failure TCOMP-1935: After Variables doesn’t support custom object types TCOMP-1941: Maven goal talend-component:web fails on startup TCOMP-1947: Implement a retry strategy on failure in vault-client TCOMP-1948: Raised exception in component-server(s) should be serialized in json TCOMP-1952: IllegalArgumentException when the http response return duplicated header. TCOMP-1939: Upgrade TSBI to Talend 2.7.2-20210616074048 TCOMP-1940: Upgrade Beam to 2.30.0 TCOMP-1941: Maven goal talend-component:web fails on startup TCOMP-1939: Upgrade TSBI to Talend 2.7.2-20210616074048 TCOMP-1919: Sanitize must force encoding file TCOMP-1925: Incorrect mapping of the parameters after arrays TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1917: Add DatasetDiscovery annotation TCOMP-1707: Upgrade Geronimo :: Simple JCache to 1.0.5 TCOMP-1850: component-server with vault feature TCOMP-1907: Service monitor implementation & cleaning of grafana dashboard TCOMP-1921: Upgrade TSBI to 2.7.0-20210527090437 TCOMP-1930: Remove jsoup 1.7.x transitive dependency due to CVE-2015-6748 TCOMP-1936: Extend properties in Schema to use JsonValue TCOMP-1938: Add the german locale in the locale mapping TCOMP-1938: Add the german locale in the locale mapping TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1919: Sanitize must force encoding file TCOMP-1886: Errors on Schema.sanitizeConnectionName TCOMP-1905: component-runtime fails to build with Java 11 TCOMP-1893: Upgrade to Beam 2.29.0 and use Beam’s Spark 3 specific module TCOMP-705: Support After variables TCOMP-1898: Add method to Record.Builder TCOMP-1910: Upgrade commons-io to 2.8.0 due to CVE-2021-29425 TCOMP-1911: Upgrade cxf to 3.4.3 due to CVE-2021-22696 TCOMP-1912: Upgrade TSBI to 2.6.7-20210503202416 TCOMP-1938: Add the german locale in the locale mapping TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1880: Engine Server returns binary data instead of json (aka does not respect the compressed header) TCOMP-1886: Errors on Schema.sanitizeConnectionName TCOMP-1815: Support of ComponentException in migration TCOMP-1873: Add method getEntry on TCK Record Schema class TCOMP-1892: Upgrade Spark to 3.0.1 TCOMP-1888: Remove/change validation of ComponentException TCOMP-1894: Uniformize docker images entrypoints TCOMP-1895: Enhance coercion in RecordConverters TCOMP-1896: Upgrade TSBI to 2.6.4-20210331133410 TCOMP-1806: Double values are rounded to 5 decimal places in studio TCOMP-1851: HttpClient implementation class is a Service with State TCOMP-1864: JsonSchemaConverter and johnzon-jsonschema 1.2.9+ look incompatible TCOMP-1866: Invalid number coercion on primitive type TCOMP-1869: byte[] handling is incorrect in dynamic column TCOMP-1871: Dynamic metadata name is not sanitized TCOMP-1861: Add a 'props' property in the Schema TCOMP-1863: Upgrade batik-codec to 1.14 due to CVE-2020-11988 TCOMP-1865: Upgrade cxf to 3.4.2 TCOMP-1867: Upgrade Apache Beam to 2.28.0 TCOMP-1878: Upgrade TSBI to 2.6.3-20210304090015 TCOMP-1688: Rewrite JsonSchema required rules to reflect component’s validation rules TCOMP-1857: Pojo conversion don’t support nested Objects TCOMP-1841: Add a SPI that would allow to add metadata to components TCOMP-1847: Upgrade Apache Beam to 2.27.0 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1849: Proxify metrics component-server’s endpoint TCOMP-1852: Upgrade netty to v4.1.58.Final and ensure default http testing module is java 11 friendly over ssl TCOMP-1854: Upgrade netty to 4.1.59.Final due to CVE-2021-21290 TCOMP-1855: Upgrade johnzon to 1.2.10 TCOMP-1856: Upgrade tomcat to 9.0.43 TCOMP-1841: Add a SPI that would allow to add metadata to components TCOMP-1852: Upgrade netty to v4.1.58.Final and ensure default http testing module is java 11 friendly over ssl TCOMP-1854: Upgrade netty to 4.1.59.Final due to CVE-2021-21290 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1839: Tomcat websocket server fails to start after tomcat 9.0.40 and meecrowave 1.2.10 TCOMP-1836: Upgrade OpenWebBeans to 2.0.20 TCOMP-1837: Upgrade xbean to 4.18 TCOMP-1838: Upgrade cxf to 3.4.1 TCOMP-1840: Upgrade tomcat to 9.0.41 TCOMP-1842: Upgrade jgit to 5.10.0.202012080955-r TCOMP-1844: Upgrade johnzon to 1.2.9 TCOMP-1845: Upgrade guava to 30.1-jre due to CVE-2020-8908 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1839: Tomcat websocket server fails to start after tomcat 9.0.40 and meecrowave 1.2.10 TCOMP-1836: Upgrade OpenWebBeans to 2.0.20 TCOMP-1837: Upgrade xbean to 4.18 TCOMP-1827: Upgrade lombok to 1.18.16 TCOMP-1828: Change project’s versioning scheme TCOMP-1829: Upgrade TSBI to 2.5.3-20201201131449 TCOMP-1830: Upgrade Apache Beam to 2.26.0 TCOMP-1832: Upgrade httpclient to 4.5.13 due to CVE-2020-13956 TCOMP-1833: Upgrade spark to 2.4.7 TCOMP-1834: Upgrade groovy to 3.0.7 due to CVE-2020-17521 TCOMP-1787: ComponentManager can’t be re-created after it’s been closed TCOMP-1788: Invalid properties validation TCOMP-1801: Can’t look for resources in the classpath on Windows TCOMP-1761: Support of complete schema definition TCOMP-1725: Upgrade Tomcat to 9.0.40 TCOMP-1792: Uniform error message on component validation TCOMP-1808: Upgrade log4j2 to 2.14.0 TCOMP-1809: Update CXF to 3.3.8 due to CVE-2020-13954 TCOMP-1812: Upgrade junit to 4.13.1 due to CVE-2020-15250 TCOMP-1813: Upgrade jupiter to 5.7.0 TCOMP-1816: Apache Maven Shared Utils: OS Command Injection in Talend/component-runtime (master) and Talend/cloud-components TCOMP-1817: Upgrade gmavenplus-plugin to 1.11.0 TCOMP-1722: REST - Last / in endpoint is removed TCOMP-1757: Studio - context not set when call a @suggestable service TCOMP-1772: Code widget doesn’t allow multiline text TCOMP-1726: Update logos and colors TCOMP-1771: Record builder optimization (with static schema) TCOMP-1773: Upgrade log4j2 to 2.13.3 TCOMP-1774: Upgrade johnzon to 1.2.8 TCOMP-1775: Upgrade commons-lang3 to 3.11 TCOMP-1776: Upgrade commons-codec to 1.15 TCOMP-1777: Upgrade jgit to 5.9.0.202009080501-r TCOMP-1778: Upgrade jib-core to 0.15.0 TCOMP-1779: Upgrade batik to 1.13 TCOMP-1780: Upgrade TSBI to 2.4.0-20200925092052 TCOMP-1781: Upgrade asciidoctorj to 2.4.1 TCOMP-1782: Upgrade rrd4j to 3.7 TCOMP-1783: Upgrade netty to 5.0.0.Alpha2 TCOMP-1784: Upgrade ziplock to 8.0.4 TCOMP-1785: Upgrade JRuby to 9.2.13.0 TCOMP-1786: Upgrade to Apache Beam 2.24.0 TCOMP-1804: Upgrade to Apache Beam 2.25.0 TCOMP-1805: Upgrade TSBI to 2.5.0-20201030171201 TCOMP-1770: Performance loss on Ouput components in Studio TCOMP-1750: Deadlock at TPD job startup using the Component SDK and using the Workday component TCOMP-1759: Guess schema mixes columns returned by tck service TCOMP-1752: Make component-runtime class loader find classes in RemoteEngine JobServer TCOMP-1764: Upgrade to Apache Beam 2.23.0 TCOMP-1719: Header responses for icon not propagated correctly from Component-server-vault-proxy TCOMP-1733: NPE in Studio metadata connection with activeif on different layouts TCOMP-1734: Studio froze when installing a patch with azure-dls-gen2-1.10.0-component.car TCOMP-1736: JobImpl retrieves more than streaming.maxRecords parameter TCOMP-1739: Use scala version defined on parent for Spark related components TCOMP-1695: Support List type in Studio TCOMP-1737: Allow to force installation of an already existing component with the car bundle TCOMP-1728: Enforce use of the defined error contract in connectors TCOMP-1731: Make connectors docker image TSBI compliant TCOMP-1738: Upgrade to Apache Beam 2.22.0 TCOMP-1742: Upgrade johnzon to 1.2.7 TCOMP-1727: WebSocketContainer not present in ServletContext TCOMP-1696: Definition of an error contract to handle expected errors TCOMP-1729: Upgrade to Apache Beam 2.21.0 TCOMP-1730: Upgrade johnzon to 1.2.6 TCOMP-1719: Header responses for icon not propagated correctly from Component-server-vault-proxy TCOMP-1649: Tomcat bump to 9.0.31 broke talend-component:web goal TCOMP-1676: Starter-toolkit mvn package throws error when running for the first time TCOMP-1677: Using other types than String in Studio’s context values causes compilation error TCOMP-1679: Combination of @Required and @Suggestable on a field creates strange behaviour TCOMP-1682: Remove key attribute in UISchema for containers TCOMP-1686: antora helper function relativize corrupts documentation TCOMP-1694: [MAVEN PLUGIN] validateSvg argument is ineffective TCOMP-1698: UiSpecService injects a wrong property for suggestions and dynamic_values TCOMP-1718: Duplicated code in RecordConverters TCOMP-1702: Improve columns name TCOMP-1655: Upgrade jib-core to 0.13.1 TCOMP-1656: Upgrade log4j2 to 2.13.1 TCOMP-1657: Upgrade maven to 3.6.3 TCOMP-1658: Upgrade groovy to 3.0.2 TCOMP-1659: Upgrade lombok to 1.18.12 TCOMP-1660: Upgrade commons-compress to 1.20 TCOMP-1661: Upgrade commons-codec to 1.14 TCOMP-1662: Upgrade guava to 28.2-jre TCOMP-1663: Upgrade ziplock to 8.0.1 TCOMP-1664: Upgrade asciidoctorj to 2.2.0 and its dependencies TCOMP-1665: Upgrade jackson to 2.10.3 TCOMP-1666: Upgrade batik-codec to 1.12 TCOMP-1667: Upgrade jgit to 5.6.1.202002131546-r TCOMP-1668: Upgrade junit to 4.13 TCOMP-1669: Upgrade bouncycastle to 1.64 TCOMP-1670: Upgrade spark-core_2.11 to 2.4.5 TCOMP-1671: Upgrade maven-shade-plugin to 3.2.2 TCOMP-1672: Upgrade httpclient to 4.5.12 TCOMP-1673: Upgrade component-runtime-testing dependencies TCOMP-1674: Upgrade tomitribe-crest to 0.14 TCOMP-1678: Upgrade jgit to 5.7.0.202003090808-r TCOMP-1685: Provide docker images based on TSBI TCOMP-1687: More explicit exception messsage on reflection for findField TCOMP-1690: Upgrade netty to 4.1.48.Final TCOMP-1692: Update CXF to 3.3.6 due to CVE-2020-1954 TCOMP-1697: Update BouncyCastle to 1.65 TCOMP-1703: Upgrade log4j-2 to 2.13.2 TCOMP-1705: Upgrade to Apache Beam 2.20.0 TCOMP-1706: Upgrade OpenWebBeans to 2.0.16 TCOMP-1708: Upgrade groovy to 3.0.3 TCOMP-1710: Upgrade johnzon to 1.2.5 TCOMP-1711: Upgrade guava to 29.0-jre TCOMP-1712: Upgrade commons-lang3 to 3.10 TCOMP-1713: Upgrade jackson to 2.11.0 TCOMP-1714: Upgrade junit to 5.7.0-M1 TCOMP-1716: Upgrade maven shade plugin to 3.2.3 and misc libs TCOMP-1639: component-server incorrect response set in request TCOMP-1640: Ensure Intellij plugin works with Intellij Idea IU-201 TCOMP-1641: Upgrade OpenWebBeans to 2.0.15 TCOMP-1642: Upgrade Groovy to 3.0.1 TCOMP-1643: Add automatic scheduling eviction system on LocalCache TCOMP-1644: Upgrade log4j to 2.13.0 TCOMP-1645: Ensure correct wording is used in @Documentation TCOMP-1647: Upgrade netty to 4.1.45.Final TCOMP-1648: Unsafe Dependancy Resolution on jcommander TCOMP-1638: Inject services to delegate in proxy TCOMP-1619: Handle correctly DATETIME field type on AvroRecord TCOMP-1622: [DOC] @Icon is not supported on datastore/dataset TCOMP-1623: Change scheme for maven repos TCOMP-1628: Manage BigDecimal in RecordConverter TCOMP-1629: Ensure LocalConfiguration environment source replace dot with _ TCOMP-1630: Avoid NPE when configurationByExample() is called in a list of primitive without values TCOMP-1631: int attribute in pojo is transformed to double in a Record TCOMP-1632: Add a way to evict cached data from LocalCache TCOMP-1616: Upgrade OpenWebBeans to 2.0.14 in component-server and component-server-vault-proxy TCOMP-1617: Move mocked api results to github pages TCOMP-1618: Upgrade Junit to 5.6.0 TCOMP-1620: Upgrade to Apache Beam 2.18.0 TCOMP-1621: Upgrade to Johnzon 1.2.3 TCOMP-1624: @Service does not support list injections TCOMP-1625: Upgrade to xbean 4.16 TCOMP-1626: Ensure ContainerListenerExtensions can be sorted TCOMP-1627: Upgrade to Apache Beam 2.19.0 TCOMP-1633: Upgrade Groovy to 3.0.0 TCOMP-1634: Upgrade tomcat to 9.0.31 TCOMP-1596: Windows URI are broken TCOMP-1597: Httpclient does not support multi query parameters TCOMP-1598: validator task uses ENGLISH locale to validate instead of root one TCOMP-1612: Starter toolkit shouldn’t use the default 'STAR' icon in demo component TCOMP-1585: Upgrade netty to 4.1.43.Final TCOMP-1586: Upgrade ziplock to v8.0.0 TCOMP-1587: Upgrade jib to v0.12.0 TCOMP-1588: Upgrade JRuby to v9.2.9.0 TCOMP-1589: Upgrade crest to v0.11.0 TCOMP-1591: Update to Tomcat 9.0.29 TCOMP-1592: Update to Johnzon 1.2.2 TCOMP-1593: Update to OpenWebBeans 2.0.13 TCOMP-1595: Infinite partitionmapper shouldn’t require assesor TCOMP-1599: More unsafe usage tolerance on JVM versions TCOMP-1600: Upgrade to Tomcat 9.0.30 TCOMP-1606: Ensure job dsl can stop infinite inputs TCOMP-1608: Upgrade geronimo openapi to 1.0.12 TCOMP-1609: Ensure Intellij plugin works with Intellij Idea 2019 TCOMP-1611: Upgrade to Apache Beam 2.17.0 TCOMP-1613: Upgrade cxf to 3.3.5 TCOMP-1614: Upgrade groovy to 3.0.0-rc3 TCOMP-1615: Upgrade OpenWebBeans to 2.0.14 TCOMP-1752: Make component-runtime class loader find classes in RemoteEngine JobServer TCOMP-1560: Min and Max error message during configuration validation are reversed TCOMP-1563: Web Tester does not work anymore (maven/gradle goal/task) TCOMP-1573: Body encoder is called twice for each query TCOMP-1582: Deploy to Nexus 3.15 caused "Provided url doesn’t respond neither to Nexus 2 nor to Nexus 3 endpoints" TCOMP-1576: Add the possibility to desactivate http client redirection in HTTP Configurer TCOMP-1559: Support configuration of the maxBatchSize enablement TCOMP-1561: Custom action type shouldn’t need to be enforced to define a family method TCOMP-1562: Support JsonObject type in actions TCOMP-1564: Move to java.nio.Path instead of java.io.File in component-runtime-manager stack where possible TCOMP-1565: Upgade to Junit Jupiter 5.6.0-M1 TCOMP-1566: Don’t compute jvmMarkers per component module but once for all TCOMP-1567: Cache Artifact path in case of reuse TCOMP-1568: Lazily create the container services TCOMP-1569: Upgrade starter to gradle 6.0-rc1 TCOMP-1570: Ensure starter adds _placeholder entries in Messages.properties TCOMP-1571: Support [length] syntax to change array configuration TCOMP-1572: Validate that @Option is not used on final fields TCOMP-1574: Upgrade to CXF 3.3.4 TCOMP-1575: Upgrade to Spark 2.4.4 TCOMP-1577: Upgrade to xbean 4.15 TCOMP-1578: Upgrade asciidoctor-pdf to v1.5.0-beta.7 TCOMP-1581: Support JUnit5 meta annotations for our extensions TCOMP-1702: Improve columns name TCOMP-1685: Provide docker images based on TSBI TCOMP-1558: org.talend.sdk.component.api.service.record.RecordService must be serializable TCOMP-1548: Basic Remote Engine Customizer TCOMP-1550: Component configuration instantiation can be slow for complex configurations TCOMP-1551: ObjectFactory should default to fieldproperties when field injection is activated TCOMP-1553: Simplify and widden excluded classes for with transformer support TCOMP-1555: Upgrade to Tomcat 9.0.27 TCOMP-1556: Studio short, byte, BigDecimal and char types are wrong handled TCOMP-1557: Upgrade to Beam 2.16.0 TCOMP-1509: Intellij plugin does not declare java module preventing the plugin to run under last versions TCOMP-1526: Upgrade talend UI bundle (js) to 4.6.0 TCOMP-1533: JSON-B API does not enable to combine multiple adapters or (de)serializers in JsonbConfig TCOMP-1536: @DefaultValue ignored in documentation generation TCOMP-1541: Studio integration enforces JSON<→Record conversion instead of relying on rowStruct making number precision lost TCOMP-1542: Validator plugin uses family instead of pluginId (artifactId) to validate local-configuration TCOMP-1508: Don’t let Talend Starter Toolkit loose state on Enter in intellij TCOMP-1543: Add a uispec mapper TCOMP-1544: Update Geronimo JSON-P spec bundle to v1.3 TCOMP-1545: Update OpenWebBeans to version 2.0.12 TCOMP-1546: Update Meecrowave to 1.2.9 TCOMP-1547: Update Johnzon to 1.2.1 TCOMP-1279: Rewrite the pojo <→ record mapping to keep number types TCOMP-1504: Apache Beam 2.14.0 upgrade TCOMP-1505: Upgrade jackson-databind to 2.9.9.3 TCOMP-1506: Enable actions in bulk endpoint TCOMP-1507: Upgrade to johnzon 1.1.13 TCOMP-1511: Upgrade cxf to v3.3.3 TCOMP-1513: Upgrade to Tomcat 9.0.24 TCOMP-1514: Provide a RecordService to simplify record enrichment coding in processors TCOMP-1515: Record visitor API TCOMP-1517: Use netty 4.1.39.Final in junit http tools TCOMP-1518: Upgrade to slf4j 1.7.28 TCOMP-1519: Upgrade to jib-core 0.10.1 TCOMP-1520: Don’t use JsonNode with Avro Fields anymore TCOMP-1521: Upgrade to Beam 2.15.0 TCOMP-1522: Basic singer/tap/stitch integration with kit components TCOMP-1523: Upgrade Apache Geronimo OpenAPI to v1.0.11 TCOMP-1524: Upgrade starter to gradle 5.6 TCOMP-1525: Upgrade commons-compress to v1.19 TCOMP-1527: Remove beam Mapper/Processor wrapping support TCOMP-1528: Upgrade to maven 3.6.2 TCOMP-1529: Asciidoctor 2.1.0 upgrade TCOMP-1530: geronimo-annotation 1.2 upgrade TCOMP-1532: Upgrade to Junit 5.5.2 TCOMP-1535: Upgrade to johnzon 1.2.0 TCOMP-1537: Upgrade to Tomcat 9.0.26 TCOMP-1538: Upgrade to jackson 2.9.10 TCOMP-1539: Rework default direct runner/spark classloader rules TCOMP-1540: Ensure Asciidoctor documentation rendering releases properly JRuby threads (main usage only) TCOMP-1478: /documentation/component/{id} internationalization does not work when embedded TCOMP-1479: When generating the documentation, it can happen the lang is wrong due to ResourceBundle usage TCOMP-1480: Servers docker images don’t have curl or wget available TCOMP-1497: POJO to Record mapping is not supported in processors TCOMP-1498: SVG2Mojo wrongly log the source file as being created TCOMP-1499: component-form does not support array of object of object if 2 levels use the same field name TCOMP-1500: Ensure component-form button have a key to have an id and propagate errors in the front TCOMP-1503: EnvironmentSecuredFilter not working on /environment/ TCOMP-1482: Enable web tester to switch the language TCOMP-1483: Enable to expose the documentation through the web tester TCOMP-1485: Asciidoctor documentation does not enable titles (component name and configuration ones) to be translated TCOMP-1486: Ensure locale mapping is configurable in component-server TCOMP-1484: Junit 5.5.0 upgrade TCOMP-1487: AsciidocMojo should only use ROOT locale by default TCOMP-1488: Enable to translate gridlayout names TCOMP-1489: Upgrade Tomcat to v9.0.22 TCOMP-1491: Upgrade JIB to v1.4.0 TCOMP-1492: Upgrade jackson-databind to 2.9.9.1 TCOMP-1493: Rewrite component exception to ensure they can be loaded after a serialization TCOMP-1494: Upgrade to junit jupiter 5.5.1 TCOMP-1495: Upgrade to Geronimo OpenAPI 1.0.10 TCOMP-1496: [testing tool] MainInputFactory does not support Record TCOMP-1501: Remove generate mojo TCOMP-1502: [maven plugin] upgrade jib-core to 0.10.0 TCOMP-1469: Studio maven repository not found OOTB TCOMP-1472: Connectors maven goal does not work in 1.1.10 TCOMP-1473: Docker image text log setup should use ISO8601 and not HH:mm:ss.SSS TCOMP-1470: Upgrade Tomcat to v9.0.21 TCOMP-1471: Upgrade Geronimo OpenAPI to v1.0.9 TCOMP-1474: Ensure proxies definition are java >=11 friendly TCOMP-1425: Spark classes not excluded anymore in component-runtime-beam leading to classloading issues TCOMP-1427: dependencies.txt mojo uses timestamped versions for snapshots instead of just -SNAPSHOT TCOMP-1431: [maven] Asciidoctor files should be attached with adoc extension and not jar one TCOMP-1433: [form-model] itemwidget ignored from uischema builder TCOMP-1438: Index cache can lead to invalid index list of component TCOMP-1440: Bulk components without @ElementListener when used with component-extension (default in the server) TCOMP-1441: Missing parameter init in the UiSchema Trigger builder TCOMP-1446: Rework gradle lifecycle TCOMP-1419: Upgrade build to groovy 2.5.7 TCOMP-1420: Upgrade maven compiler to 3.1.2 TCOMP-1422: Filter allowed beam classes in component-server image TCOMP-1423: Enable to customize studio maven repository for deploy-studio maven and gradle goal/task TCOMP-1426: Ensure Spark rule and @WithSpark uses a default version consistent with the runtime TCOMP-1430: Deprecate built-in icons in favor of vendor specific icons TCOMP-1432: basic dita generation for the component documentation TCOMP-1434: [form-model] Add withCondition to UISchema builder TCOMP-1435: Dont use beam_sdks_java_core shaded libraries TCOMP-1437: Add infinite metadata to ComponentDetail TCOMP-1444: Remove KnownJarsFilter since it is no more used to discover components TCOMP-1445: Icon must support SVG TCOMP-1448: [starter] provide a basic OpenAPI integration TCOMP-1449: Upgrade XBean to v4.14 TCOMP-1450: Add a read-only bulk endpoint in component-server TCOMP-1451: [upgrade] Johnzon 1.1.12 TCOMP-1452: [upgrade] Meecrowave 1.2.8 TCOMP-1453: Upgrade to CXF 3.3.2 TCOMP-1455: Prepare DateTime support in configurations TCOMP-1457: Upgrade to Apache Beam 2.13.0 TCOMP-1458: Ensure _placeholder presence is encouraged and validated TCOMP-1459: Experimental way to patch a component dependency TCOMP-1461: Extension API for the validator plugin TCOMP-1462: Validate through the corresponding build task provided SVG TCOMP-1464: Upgrade to OpenWebBeans 2.0.11 TCOMP-1465: Upgrade to JUnit 5.5.0-RC1 TCOMP-1466: Upgrade to ziplock 8.0.0-M2 TCOMP-1467: Upgrade mock server (testing tool) to netty 5.0.0.Alpha2 TCOMP-1468: Support docker-compose >= 1.23 in vault-proxy TCOMP-1374: ensure Utf8 avro strings don’t leak in AvroRecord API, even using get(Object.class, …) TCOMP-1375: When two sources use the same dataset and one source has additional required parameter the validation fails TCOMP-1384: Enhance studio guess schema algorithm to find implicitly the action to call if needed TCOMP-1388: Can’t change the dataset name in starter TCOMP-1389: Intellij starter fails to generate a project TCOMP-1398: Using after option of @updateable can lead to a null pointer exception in component-form TCOMP-1401: Documentation table is broken TCOMP-1407: Databricks: interface javax.json.stream.JsonGeneratorFactory is not visible from class loader TCOMP-1386: Add withRecord(String,Record) in Record.Builder TCOMP-1387: Use icon bundle version 3.1.0 TCOMP-1412: Add rest and couchbase icon to component api TCOMP-1376: Upgrade jupiter to 5.4.2 TCOMP-1385: talend.component.server.component.registry must be a list TCOMP-1390: Move component-api to component-runtime repository TCOMP-1392: Tomcat 9.0.19 upgrade TCOMP-1402: Provide a placeholder for classpath extensions in docker images TCOMP-1403: Upgrade asciidoctor to 2.0.0 and asciidoctor-pdf to alpha17 TCOMP-1404: Upgrade to Apache Beam 2.12.0 TCOMP-1408: Starter does not support types starting with a lowercase TCOMP-1411: ComponentManager relies on beam jar name. This is unlikely and should move to beam integration module. TCOMP-1417: Upgrade to Geronimo OpenAPI 1.0.8 TCOMP-1326: Avro Schema is not serializable as JSON so guess schema action does not work when compoennt-runtime-beam is present TCOMP-1330: Shade extensions don’t inherit from pluginrepositories TCOMP-1340: Tools webapp (talend-component:web) does not support changing the locale anymore TCOMP-1343: Use LogicalTypes.timestampMillis() on DATETIME for avro record builder TCOMP-1360: Renaming an option (@Option("custom")) does not work on fields of type object TCOMP-1370: ImageM2Mojo does not set timestamp in the docker image leading to component-server having a wrong lastUpdated value TCOMP-1372: Nested components don’t expose their doc deterministicly until it is overriden TCOMP-1341: Register deploy in studio task OOTB in gradle extension TCOMP-1325: Upgrade CXF to 3.3.1 TCOMP-1327: /environment iterates over deployed plugin for each call, this is not needed TCOMP-1328: Upgrade to Beam 2.11.0 TCOMP-1329: Lazy initialize parameter model to have a quicker cold start in plain main(String[]) TCOMP-1331: Use java 8u191 as base docker image TCOMP-1332: Provide a simple way to filter configurations and component on /index endpoints TCOMP-1334: Add a mojo to generate the list of components/services classes TCOMP-1335: Add in doc mojo table the type of configuration the parameter belongs to TCOMP-1336: Allow output processors to only have an @AfterGroup taking the list of record of the group in parameter TCOMP-1346: Upgrade to Tomcat 9.0.17 TCOMP-1347: Upgrade to Slf4j 1.7.26 TCOMP-1348: [form-core] Ensure suggestions trigger is bound to "change" event too TCOMP-1349: [form-core] When a tab is empty, don’t show it TCOMP-1350: talend.component.server.component.registry should support glob pattern TCOMP-1351: Upgrade jsoup for Spark Cluster testing module TCOMP-1353: component-server must not use TALEND-INF/dependencies.txt but another path TCOMP-1354: Enforce services to belong to the delcaring service class TCOMP-1361: Upgrade to asciidoctorj 2.0.0-RC.1 TCOMP-1362: Beam Wrapped Components should throw shared exception types TCOMP-1366: Upgrade to XBean 4.13 to not track all classes scanned TCOMP-1371: Upgrade to Apache Geronimo OpenAPI 1.0.7 TCOMP-1307: support char and character types in configuration. TCOMP-1312: Component-form-core shouldn’t trigger validation of object due to conditional visibility (only individual fields are validable) TCOMP-1314: category field of the starter is broken TCOMP-1316: [build] Ensure snapshot use timestamped versions in dependencies.txt TCOMP-1306: Add RecordPointerFactory to enable to extract data from Record using json pointer spec TCOMP-1315: Ensure @Internationalized can use shortnames too in Messages.properties TCOMP-1303: Support docker configs/secrets in docker images TCOMP-1304: Vault proxy should support token configuration TCOMP-1305: Upgrade to beam 2.10.0 TCOMP-1308: Upgrade to Talend UI 2.6.0 TCOMP-1309: Upgrade to Component API 1.1.5 TCOMP-1310: Ensure there is a basic secured mecanism to store configuration data TCOMP-1317: Use Apache Geronimo Microprofile Config extensions (docker and secured string) TCOMP-1318: Upgrade to Apache Meecrowave 1.2.7 TCOMP-1319: Upgrade Apache Geronimo Metrics to 1.0.3 TCOMP-1320: Upgrade to Apache Geronimo OpenAPI 1.0.6 TCOMP-1321: Upgrade to Apache Geronimo OpenTracing 1.0.2 TCOMP-1322: Upgrade to Apache Geronimo Config 1.2.2 TCOMP-1263: When using @Updateable(after=xxx) the visibility condition (@ActiveIf) of the after field shouldn’t be inherited TCOMP-1264: AvroSchema does not unwrap null(able types) to map to Schema model TCOMP-1265: dataset / datastore cloud validation : allow nested configuration types TCOMP-1267: /documentation does not filter properly component TCOMP-1281: Add jackson-mapper-asl in docker image of the server TCOMP-1298: Support restricted lists for @Proposable TCOMP-1297: make max batch size property configurable for family and components through LocalConfiguration TCOMP-1266: Enhance starter to support dataset and datastore TCOMP-1268: Ensure /environment is not callable if not local or secured TCOMP-1269: Ensure ErrorReportValve does not leak Tomcat version OOTB TCOMP-1271: Upgrade to talend UI 2.3.0 TCOMP-1272: Move multiSelectTag to multiSelect for web environment TCOMP-1273: [build/dev plugin] Automatically open the browser for talend-component:web task/goal TCOMP-1276: Exclude xerces from component loadable resources for XMLReaderFactory TCOMP-1282: Upgrade meecrowave to 1.2.6 TCOMP-1283: Upgrade cxf to 3.3.0 TCOMP-1284: Upgrade to johnzon 1.1.11 TCOMP-1292: Provide a vault friendly integration for the server TCOMP-1293: Upgrade to Tomcat 9.0.16 TCOMP-1295: Ensure local-configuration.properties of a container are merged TCOMP-1296: Ensure user can enrich families with custom jar+configuration TCOMP-1245: Provided services (SPI) by tacokit not available TCOMP-1246: Rework docker image setup to use jib TCOMP-1247: Upgrade geronimo metrics to 1.0.2 TCOMP-1248: Upgrade to geronimo opentracing 1.0.3 TCOMP-1249: Provide segment extractor for doc endpoint TCOMP-1250: Make component documentation (@Documentation on component) i18n friendly TCOMP-1251: cache avrocoders used in SchemaRegistryCoder TCOMP-1252: Remove html support in documentation endpoint TCOMP-1253: Refine OpenAPI documentation TCOMP-1256: Add mapDescriptorToClassLoader to create a classloader from a list of gav TCOMP-1258: Support to build a Record from a provided Schema TCOMP-1259: Add getOptional to Record TCOMP-1223: byte[] not supported in AvroRecord (beam) TCOMP-1222: Ensure @WithComponents and @Environment are compatible TCOMP-1234: Upgrade to beam 2.9.0 TCOMP-1235: Upgrade to antora 2 TCOMP-1237: Upgrade component-api to 1.1.2 TCOMP-1238: Upgrade metrics and opentracing microprofile libraries in docker image to use Geronimo extensions TCOMP-1239: OpenWebBeans 2.0.9 upgrade TCOMP-1240: Johnzon 1.1.11 upgrade TCOMP-1242: Runtime validation error message wrongly interpolated TCOMP-1243: Ensure component classloader isolates the system classloader resources except for the JVM ones TCOMP-1170: [regression] http testing module pom imports netty and jsonb stack TCOMP-1181: tacokit can’t pass the long type field from ui rightly TCOMP-1187: Job DSL does not support correctly parameters when they are URI/URL TCOMP-1189: Ensure primitive are not nullable in Record model (builder) TCOMP-1191: [beam] BeamIOTransformer does not support serialization of complex objects correctly TCOMP-1192: Ensure Avro schema union is interpreted as nullable in Record Schema model TCOMP-1194: [testing] Ensure BeamEnvironment adds component-runtime-beam TCOMP-1196: Nested maven repository not used for component module TCOMP-1197: Tacokit beam tests. NPE when creating the schema with RECORD type. TCOMP-1198: Tacokit beam tests. SchemaParseException ⇒ drop unsupported characters TCOMP-1200: Packages not defined from nested repository classes TCOMP-1201: includeTransitiveDependencies option of nested-maven-repository does not work TCOMP-1202: Refine avro classloading exclusion to accept hadoop and mapred packages TCOMP-1205: Empty JSon object lead to NPE TCOMP-1209: Ensure SerializableCoder is replaced with a contextual version to support Talend Component Kit classloading model TCOMP-1210: BeamComponentExtension should let the exception go back to the caller when the transform fails TCOMP-1215: Nested maven repository in jars don’t go through transformers TCOMP-1218: Record entries order shouldn’t be sorted by the runtime TCOMP-1185: Support maxBatchSize in Job test runner for standalone mode TCOMP-1171: Remove component proxy server from the project TCOMP-1182: Ensure the property editor for the configuration registers the default converters TCOMP-1183: Upgrade JRuby to 9.2.4.0 TCOMP-1184: Avoid to do a group by key in BeamExecutor (job DSL) when not needed TCOMP-1188: Tolerate null for dates in Records TCOMP-1190: Enable secure processing for DocumentBuilderFactory instances TCOMP-1193: Add injectable ContainerInfo with the containerId (plugin) in services TCOMP-1195: Enable user to extend BeamEnvironment test tempalte more easily TCOMP-1199: Nested repository not used when the classpath is not composed of a single jar TCOMP-1204: [dependency upgrade] XBean 4.12 TCOMP-1207: [beam] add ContextualSerializableCoder TCOMP-1213: Upgrade guava to v27 for testing modules TCOMP-1216: Take into account the visibility for the parameter validation TCOMP-1217: Add JVM system property talend.component.runtime.serialization.java.inputstream.whitelist for our custom object input stream TCOMP-1219: Upgrade starter to gradle 5 TCOMP-1220: Upgrade Maven to 3.6.0 in starter TCOMP-1121: [tacokit proxy] suggestion trigger creation issue TCOMP-1122: [tacokit proxy] slefRefrence filter configuration type by name, type and family TCOMP-1123: Processor component onNext duplicate columns in record for rowStructs TCOMP-1126: UiSpecService shouldn’t show the documentation by default TCOMP-1129: form core - $selfReference breaks triggers TCOMP-1130: component form - default value of maxBatchSize prop loose it type. TCOMP-1131: [beam integration] Ensure Coder is contextual (classloader) TCOMP-1132: Ensure beam custom Coders implement equals.hashCode for beam contract TCOMP-1148: Asciidoctor documentation fails for collection of objects TCOMP-1149: [testing] BeamEnvironment does not reset PipelineOptionsFactory properly for beam > 2.4 TCOMP-1155: [proxy server] arrays not supporting null values in ConfigurationFormatter TCOMP-1159: AvroSchema does not support DATETTIME type (beam module) TCOMP-1168: Avro record implementation ignores nullable/union TCOMP-1143: Ensure icons are validated and fail the build if a custom one is missing (validate mojo) TCOMP-1112: Let beam PTransform define an @ElementListener method to set the component design (inputs/outputs) TCOMP-1113: Simplify the scanning by assuming there is a TALEND-INF/dependencies.txt in components TCOMP-1120: BeamMapperImpl.isStream not accurate for UnboundedSource TCOMP-1124: Add /metrics endpoint TCOMP-1125: Extend CustomPropertyConverter to pass the convertion context TCOMP-1127: Record doesn’t support null values TCOMP-1133: CXF 3.2.7 upgrade TCOMP-1134: Ensure any input/output have a dataset TCOMP-1135: Ensure any dataset has a datastore TCOMP-1136: deprecate "generate" mojo TCOMP-1145: [dependency upgrade] Beam 2.8.0 TCOMP-1146: implement infinite=true in PartitionMapper/Input TCOMP-1150: Upgrade rat plugin to 0.13 TCOMP-1154: Required validation at runtime ignores lists and nested objects TCOMP-1157: [dependency upgrade] Tomcat 9.0.13 TCOMP-1158: Enable JUnit test collector to use a static storage instead of thread related one TCOMP-1160: Upgrade spark to 2.4.0 TCOMP-1161: Upgrade shade plugin to 3.2.1 TCOMP-1162: Upgrade nested-maven-repository shade transformers to support last maven versions TCOMP-1163: Upgrade openwebbeans to 2.0.8 TCOMP-1164: Validate mojo does not log any success information TCOMP-1165: Dependency mojo does not log any success information TCOMP-1166: Documentation mojo does not log generated files properly TCOMP-1167: Beam-Avro record name generation should use avro fingerprint to be more unique than current logic TCOMP-1086: Fix documentation about DiscoverSchema TCOMP-1064: Update action can’t receive List parameter TCOMP-1110: When a configuration has no layout and uses @AfterGroup the configuration is lost TCOMP-1111: Move to PropertyEditorRegistry from xbean instead of using the deprecated static class TCOMP-1000: @Option name value is not respected on fields TCOMP-1008: Enum order is lost TCOMP-1009: (web) OptionsOrder ignored for tables (List), fields located in random order TCOMP-1028: [tools-webapp] submit button no more functional TCOMP-1031: DiscoverSchema parameters are not correctly mapped in Studio GuessSchema runtime TCOMP-1044: Fix java.lang.ClassCastException in TableActionParameter TCOMP-1046: String option can’t set default value from a file TCOMP-1056: ActiveIf doesn’t work in advanced settings TCOMP-1072: Metadata migration issues TCOMP-1074: talend-component mvn plugin : deploy-in-studio need to rise an error when component is already installed TCOMP-1075: component reload file on windows after deploying a modified jar TCOMP-1076: component starter - fix mapper generation (Record integration) TCOMP-1077: component starter - ensure kit version are updated atomically. TCOMP-1078: Guess Schema button is not shown on Basic Settings view TCOMP-1082: Fix Exception during HealthCheck parameter deserialization TCOMP-1085: [classloader] com.sun is too wide as exclusion TCOMP-1104: Fix drag and drop issue for dataset/datastore metadata TCOMP-779: Drop down list Java type in configuration class TCOMP-819: Processor doesn’t produce more than 1 row on each iteration TCOMP-917: Migration handler need only to receive component configuration TCOMP-941: Default and init values are ignored in connection wizzard (datastore/dataset) TCOMP-968: Trigger AsyncValidation call only when option annotated with Validable is changed TCOMP-970: Add support for complex parameter types for AsyncValidation methods TCOMP-973: component migration - the configuration version need to be serialized in addition to the version of the component TCOMP-984: Integrate ParameterizedTest with component-runtime-http-junit capture mode TCOMP-988: component migration - fix nested configuration migration TCOMP-989: .car studio install command breaks config.ini of the studio TCOMP-991: metadat : ignore activations from config not being part of the form while creating metadata TCOMP-996: metadata : migration issues TCOMP-1001: [proxy] ConfigurationClient should expose a migrate method TCOMP-1011: Ensure datastore/dataset i18n names are validated by the maven/gradle plugins TCOMP-1013: Add an operator support in @ActiveIfs (OR/AND switch) TCOMP-1014: Ensure a dataset has a source which has no other required parameters in the validator TCOMP-1029: Extend ActiveIf EvaluationStrategy with CONTAINS strategy TCOMP-1063: Integrate Record API to the studio TCOMP-1069: restrict input branches for output components to only one. TCOMP-1071: support actions i18n display name TCOMP-1092: Ensure @Configuration POJO are injectable as Supplier in services TCOMP-1094: Add FullSerializationRecordCoder coder for Record in beam module TCOMP-1095: Ensure all configuration type models root entries are named "configuration" TCOMP-993: [proxy] Propagate UiSpecContext in referenceservice#findByTypeAndName TCOMP-994: [dependency upgrade] CXF 3.2.6 TCOMP-1003: [dependency upgrade] Tomcat 9.0.12 TCOMP-1004: [dependency upgrade] Log4j2 2.11.1 TCOMP-1015: Upgrade icons to 1.0.0 TCOMP-1019: (form) enum should lead to restricted datalist TCOMP-1037: [dependency upgrade] Johnzon 1.1.9 TCOMP-1038: Drop spring client from component-form-core TCOMP-1041: HttpClient should enable to process InputStream directly TCOMP-1042: Upgrade to JUnit 5.3.1 TCOMP-1045: Add documentation in metadata and enable to use it in the UI on configuration TCOMP-1047: Make Suggestable text field editable (align with web) TCOMP-1048: Add update API for configuration TCOMP-1049: Add completion support for actions displayname in intellij plugin TCOMP-1050: Provide simple OAuth1 integration TCOMP-1051: Remove brave and move to geronimo-opentracing TCOMP-1054: Introduce @Configuration API TCOMP-1055: remove the ExecutionResource TCOMP-1057: Add ActiveIf on @Proposable test-case TCOMP-1058: Add DefaultValue on proposable/dynamicValue testcase TCOMP-1059: Rework generic record format TCOMP-1073: [maven/gradle plugin] Add configuration support in web goal TCOMP-1079: Document new Record structure TCOMP-1080: [dependency upgrade] Meecrowave 1.2.4 TCOMP-1081: ComponentManager should ignore engine classes in its filtering TCOMP-1087: Jsonb service should serialize byte[] as BASE64 TCOMP-1089: [starter] Upgrade gradle to 4.10.2 TCOMP-1090: [form] Main/Advanced order not respected when some remote action are involved TCOMP-1091: Ensure main component is preferred over test ones in a maven project TCOMP-1093: [dependency upgrade] netty 4.1.30.Final for junit http testing module TCOMP-1096: [dependency upgrade] xbean 4.10 TCOMP-1097: [dependency upgrade] Beam 2.7.0 TCOMP-1099: Upgrade web ui bundle to 1.0.2 TCOMP-1101: Add conditional rendering in the generated documentation TCOMP-1102: Reflect in documentation that Validable/AsyncValidation doesn’t support Object types TCOMP-1106: Enable to generate the component documentation in multiple languages TCOMP-1107: ConfigurableClassLoader does not priviledges container classloader for getResourceAsStream TCOMP-877: [documentation] Sample implementation of bulk/batch/commit-interval using groups TCOMP-980: Provide a ValidationService in server-proxy TCOMP-985: Align docker git metada on out Standard TCOMP-998: [dependency upgrade] Apache Commons Compress 1.18 TCOMP-911: Suggestions callback doesn’t support Configuration parameters TCOMP-921: String cannot be cast to Boolean when adding table with checkboxes TCOMP-922: component manager : support loading dependencies from job lib folder. TCOMP-924: component-kit.js errors are not sent to the error handler TCOMP-927: talend-component:web errors are not always unwrapped and understandable TCOMP-934: Ensure Studio rely on category and doesn’t append family name TCOMP-960: Suggestions parameters are not correctly resolved in Studio TCOMP-961: Default value of Suggestions method parameter is ignored TCOMP-964: ClassCastException is thrown when non-string values are used as Suggestions method parameter TCOMP-825: Provide component server proxy TCOMP-928: Add negate and evaluation strategy to @ActiveIf TCOMP-929: Ensure category contains the family TCOMP-816: Check migration feature and implement missing use-cases TCOMP-918: create a mvn bom with tacokit stack to keep some dependencies aligned between component-runtime and it’s studio integration TCOMP-932: Avoid Kafka recursive logging for component server TCOMP-933: Drop component-kit.js module TCOMP-935: Component server should log application and service in kafka mode TCOMP-938: Add a builtin::http trigger in the server proxy TCOMP-939: Ensure the proxy server can lookup references with a SPI TCOMP-943: (web) Grand parent references for triggers not well resolved TCOMP-944: (proxy server) Ensure the trigger are well resolved for references TCOMP-947: (maven/gradle) ensure web task logs there is a UI TCOMP-953: Upgrade to ziplock 7.0.5 TCOMP-954: Upgrade netty to 4.1.28.Final for the test stack TCOMP-958: Componentvalidator error message in case of an unsupported type is misleading TCOMP-959: [dependency upgrade] Upgrade to icon bundle 0.202.0 TCOMP-962: .car deploy-in-studio command (CarMain) should support to override an existing version TCOMP-965: [dependency upgrade] Apache Beam 2.6.0 TCOMP-966: Ensure Studio integration renames HTTP threads to identify them more explicitly TCOMP-967: Ensure parameter index is in metadata for services and constructors TCOMP-919: Starter doesn’t synchronize correctly with central versions TCOMP-920: Use Meecrowave 1.2.3 TCOMP-888: Designer pipeline records counter are wrong for tacokit components with multiples outputs TCOMP-899: Update Beam 2.5.0 compatibility TCOMP-903: [tacokit studio integration] - Guess schema - better handling of number types recognition TCOMP-904: [tacokit studio integration] - fix job classpath generation TCOMP-913: Fix absolute path resolution for child of child use-case TCOMP-900: [tacokit studio integration] - Handle conditional outputs TCOMP-898: Ensure starter will be able to auto update its versions to avoid redeployments TCOMP-905: Enrich scanning exclusion set TCOMP-906: Minimalist JsonObject to IndexeredRecord utilities for beam TCOMP-907: Support maxBatchSize as in the studio in Beam TCOMP-910: Add maxbatchsize as built in parameter to Processor meta model TCOMP-915: Upgrade Apache Meecrowave to 1.2.2 TCOMP-822: [Windows] deploy-in-studio & car copy jar command in mvn plugin - don’t work if the studio is running TCOMP-844: Service default method forwarded to interface method instead of implementation one if exists TCOMP-848: [junit5] implicit mock collector and emitter are not resetted per method TCOMP-851: [form] UiSchema shouldn’t have a JsonSchema TCOMP-858: @OptionsOrder not respected by form-core TCOMP-862: [form-core] ".." path is not correctly resolved TCOMP-863: Job DSL doesn’t support multiple outputs TCOMP-873: Fix shade junit-http module : remove shaded dependencies from generated artifact TCOMP-889: [form] arrays are lost in trigger paths TCOMP-890: Merge the component outputs (by name) from @AfterGroup and @ElementListener TCOMP-893: Don’t log a warning for services when parameters don’t have i18n support TCOMP-834: Ensure that component has only one configuration argument. TCOMP-845: [junit] ComponentsHandler misses findService TCOMP-846: [junit] allow to inject current plugin services in test class TCOMP-847: Support gzip in JUnit HTTP tooling TCOMP-849: [junit http] support to match the request payload TCOMP-850: MavenDecrypter should tolerate ${env.xxx} syntax TCOMP-861: Ensure Car Mojo can be skipped TCOMP-887: [studio] add chunk size advanced common param for processors & output TCOMP-892: Validate runtime configuration before executing the runtime TCOMP-829: Configuration Type tree is not correctly computed TCOMP-830: Move all configuration to Microprofile Config instead of DeltaSpike TCOMP-832: Provide a way to access lastUpdatedTimestamp in rest api TCOMP-833: Upgrade gradle+maven for the starter TCOMP-839: Add an API to load lazily the potential values of a list TCOMP-840: Upgrade icon bundle to 0.190.2 TCOMP-841: Add validation of option names in the validator TCOMP-852: [dependency upgrade] Upgrade shrinkwrap-resolver-impl-maven to 3.1.3 TCOMP-855: Support service injections in services TCOMP-856: [dependency upgrade] OpenWebBeans 2.0.6 TCOMP-857: SimpleCollector must not depend on junit 4 TCOMP-864: Mojo should be thread safe for car/dependencies.txt generation TCOMP-867: Expose Injector service TCOMP-868: Create an ObjectFactory service TCOMP-869: Ensure actions can get injected the requested lang TCOMP-870: Provide Beam DoFn to simplify the migration from IndexedRecord to JsonObject TCOMP-876: Allow custom converters in form-core TCOMP-878: Add beam in the docker image OOTB TCOMP-879: CarMojo doesn’t use car extension to attach the artifact TCOMP-880: [dependency upgrade] Maven 3.5.4 TCOMP-881: [dependency upgrade] CXF 3.2.5 TCOMP-882: [dependency upgrade] Tomcat 9.0.10 TCOMP-883: [dependency upgrade] Beam 2.5.0 TCOMP-884: [dependency upgrade] Upgrade to icon bundle 0.197.0 TCOMP-894: [dependency upgrade] Johnzon 1.1.8 TCOMP-895: [dependency upgrade] xbean 4.9 TCOMP-827: Fix Automatic-Module-Name TCOMP-811: Upgrade to tomcat 9.0.8 TCOMP-826: Extract component model from component server to a new artifact TCOMP-763: Add a dev mode in the studio for tacokit TCOMP-802: Add method to upload dependencies from .car to nexus TCOMP-808: Upgrade to JUnit 5.2.0 TCOMP-809: compress js and css for the starter TCOMP-810: ui spec service uses a multiselecttag for a proposable on a string field TCOMP-804: Idea plugin doesn’t render properly configuration inputs TCOMP-798: intellij plugin - add official starter url TCOMP-799: @Checkable expects the datastore name to match the validation name TCOMP-806: Ensure server and starter support gzip TCOMP-643: Deployment TCOMP-770: Removing component from web UI causes wrong number of components in summary TCOMP-775: Starter - Fix properties keys generation TCOMP-776: component-kit.js ignore credentials TCOMP-783: ActiveIfs doesn’t make option visible TCOMP-796: Datastore check (@Checkable) should default meta parameters to "datastore" if none is found TCOMP-773: Extend the http client api to handle more generic use cases TCOMP-771: ConfigurableClassLoader should skip scala.* classes TCOMP-772: Upgrade icon set to ui/icons 0.179.0 TCOMP-774: Upgrade xbean to 4.8 TCOMP-768: More tolerance of configuration prefix for implicit migration of configuration node in form core library TCOMP-756: Setup maven clirr plugin for component-api +testing TCOMP-762: Starter should only propose a single category level in the ui TCOMP-767: Ensure the configurationtype endpoints have matching name/path values TCOMP-761: Merge component-runtime-manager and component-runtime-standalone TCOMP-764: Clean up component-form-core dependencies TCOMP-765: Upgrade to batik 1.9.1 TCOMP-752: Fix Advanced settings and Test connection button appearance in repository wizard TCOMP-757: Duplicate method name "writeReplace" with signature "()Ljava.lang.Object;" in class file TCOMP-751: Support gzip compression on component-server TCOMP-753: Make classpath scanning to find component configurable TCOMP-758: Support component-server server configuration from system properties TCOMP-759: Enum must be i18n TCOMP-738: Component Server should respect ~/.m2/settings.xml local repository if it exists TCOMP-739: SerializationTransformer shouldn’t use ComponentManager to avoid ClassNotFoundException TCOMP-740: UISpecService should be reactive and use a CompletionStage based API TCOMP-741: UISpecService configuration support TCOMP-742: Configuration Type properties should be rooted TCOMP-744: Ensure wrapped BeamIO uses the right TCCL TCOMP-745: [Dependency Upgrade] CXF 3.2.4 TCOMP-746: [Dependency Upgrade] Tomcat 9.0.6 TCOMP-747: [Dependency Upgrade] Log4j2 2.11.0 TCOMP-748: Make configurationtype index endpoint lighter OOTB TCOMP-749: Intellij Idea plugin TCOMP-750: Unify @Pattern using javascript regex instead of a mixed mode TCOMP-734: Add support for context and globalMap values in Tacokit component settings TCOMP-733: support to use a beam pipeline under the hood for beam components in di TCOMP-693: Integrate Migration API TCOMP-737: upgrade to beam 2.4.0 TCOMP-731: Configuration Type migration handler skipped TCOMP-725: MavenDecrypter doesn’t support comments in settings.xml TCOMP-726: When a component is not found the error message can be misleading TCOMP-728: Http client doesn’t ignore empty query parameters TCOMP-722: WebSocket connection fails with a NPE when the endpoint doesn’t exists TCOMP-723: Adding configurationByExample utility to create query string for Job DSL TCOMP-724: Documentation endpoint doesn’t support HTML TCOMP-446: Support Embedded Documentation TCOMP-650: Ensure component can be executed in beam pipelines TCOMP-651: Ensure beam components can be wrapped and used through the Talend Component Kit Framework TCOMP-653: Web Form metamodel service TCOMP-655: Catalog service TCOMP-656: UISpec compatibility TCOMP-658: Add test Source/Sink collectors in JUnit integration TCOMP-659: Basic job builder API to simplify JUnit tests TCOMP-662: Validation Mojo TCOMP-664: Local testing server for dev TCOMP-675: Select a communication solution for Talend Component Kit server TCOMP-680: Register components into the Studio Palette TCOMP-681: Studio parameters form integration TCOMP-682: Studio Metadata integration TCOMP-683: Studio Runtime integration TCOMP-691: Create context menu for Tacokit node in repository panel TCOMP-719: Support Input Definition TCOMP-720: Support Output Definition TCOMP-721: Initial Widget Definitions

You can reuse Maven settings.xml server files, including the encrypted ones. org.talend.sdk.component.maven.MavenDecrypter allows yo to find a username/password from a server identifier: It is very useful to avoid storing secrets and to perform tests on real systems on a continuous integration platform. Even if you do not use Maven on the platform, you can generate the settings.xml and`settings-security.xml` files to use that feature. See maven.apache.org/guides/mini/guide-encryption.html for more details.

The Remote Engine is a key piece for executing components with Talend Pipeline Designer. To customize it for testing purposes, a helper tool is available. The following content and the tool it describes are not officially supported as a Talend Cloud feature and are provided "as it" without any guarantee. The remote-engine-customizer is a simple tool that reads the Remote Engine docker-compose.yml file, extracts the connectors image and rebuilds it adding configured connectors to the image. By default, it replaces the original image with the newly built one and saves the old file in the .remote_engine_customizer/backup/ directory of the Remote Engine. The customizer is provided as a docker container. You can run the tool using the register-component-archive command: You can get more details about the tool with the following command: You can find out all the available versions at hub.docker.com/r/tacokit/remote-engine-customizer/tags. The command accepts the following parameters: When running using the docker container, you must mount several files/folders. For example: Once you have built the new image, you must restart the Remote Engine. You can verify that the new image is available by running docker run --entrypoint sh -it [newimage] before.

JUnit (4 or 5) already provides ways to parameterize tests and execute the same "test logic" against several sets of data. However, it is not very convenient for testing multiple environments. For example, with Beam, you can test your code against multiple runners. But it requires resolving conflicts between runner dependencies, setting the correct classloaders, and so on. To simplify such cases, the framework provides you a multi-environment support for your tests, through the JUnit module, which works with both JUnit 4 and JUnit 5. The MultiEnvironmentsRunner executes the tests for each defined environments. With the example above, it means that it runs test1 for Env1 and Env2. By default, the JUnit4 runner is used to execute the tests in one environment, but you can use @DelegateRunWith to use another runner. The multi-environment configuration with JUnit 5 is similar to JUnit 4: The main differences are that no runner is used because they do not exist in JUnit 5, and that you need to replace @Test by @EnvironmentalTest. With JUnit5, tests are executed one after another for all environments, while tests are ran sequentially in each environments with JUnit 4. For example, this means that @BeforeAll and @AfterAll are executed once for all runners. The provided environment sets the contextual classloader in order to load the related runner of Apache Beam. Package: org.talend.sdk.component.junit.environment.builtin.beam the configuration is read from system properties, environment variables, …. _class: ContextualEnvironment. _class: DirectRunnerEnvironment. _class: FlinkRunnerEnvironment. _class: SparkRunnerEnvironment. If the environment extends BaseEnvironmentProvider and therefore defines an environment name - which is the case of the default ones - you can use EnvironmentConfiguration to customize the system properties used for that environment: If you set the .skip system property to true, the environment-related executions are skipped. This usage assumes that Beam 2.4.0 or later is used. The following dependencies bring the JUnit testing toolkit, the Beam integration and the multi-environment testing toolkit for JUnit into the test scope. Dependencies: Using the fluent DSL to define jobs, you can write a test as follows: Your job must be linear and each step must send a single value (no multi-input or multi-output). It executes the chain twice: With a standalone environment to simulate the Studio. With a Beam (direct runner) environment to ensure the portability of your job.

If you want to make sure that your component works in Beam and don’t want to use Spark, you can try with the Direct Runner. Check beam.apache.org/contribute/testing/ for more details.

testing code that consumes REST APIs can sometimes present many constraints: API rate limit, authentication token and password sharing, API availability, sandbox expiration, API costs, and so on. As a developer, it becomes critical to avoid those constraints and to be able to easily mock the API response. The component framework provides an API simulation tool that makes it easy to write unit tests. This tutorial shows how to use this tool in unit tests. As a starting point, the tutorial uses the component that consumes Zendesk Search API and that was created in a previous tutorial. The goal is to add unit tests for it. For this tutorial, four tickets that have the open status have been added to the Zendesk test instance used in the tests. To learn more about the testing methodology used in this tutorial, refer to Component JUnit testing. Create a unit test that performs a real HTTP request to the Zendesk Search API instance. You can learn how to create a simple unit test in this tutorial. the authentication configuration using Zendesk instance URL and credentials. the search query configuration to get all the open ticket, ordered by creation date and sorted in descending order. The test is now complete and working. It performs a real HTTP request to the Zendesk instance. As an alternative, you can use mock results to avoid performing HTTP requests every time on the development environment. The real HTTP requests would, for example, only be performed on an integration environment. To transform the unit test into a mocked test that uses a mocked response of the Zendesk Search API: Add the two following JUnit rules provided by the component framework. JUnit4HttpApi: This rule starts a simulation server that acts as a proxy and catches all the HTTP requests performed in the tests. This simulation server has two modes : capture : This mode forwards the captured HTTP request to the real server and captures the response. simulation : this mode returns a mocked response from the responses already captured. This rule needs to be added as a class rule. JUnit4HttpApi: This rule has a reference to the first rule. Its role is to configure the simulation server for every unit test. It passes the context of the running test to the simulation server. This rule needs to be added as a simple (method) rule. Example to run in a simulation mode: Make the test run in capture mode to catch the real API responses that can be used later in the simulated mode. To do that, set a new talend.junit.http.capture environment variable to true. This tells the simulation server to run in a capture mode. The captured response is saved in the resources/talend.testing.http package in a JSON format, then reused to perform the API simulation.

Some recommendations apply to the way component packages are organized: Make sure to create a package-info.java file with the component family/categories at the root of your component package: Create a package for the configuration. Create a package for the actions. Create a package for the component and one sub-package by type of component (input, output, processors, and so on). It is recommended to serialize your configuration in order to be able to pass it through other components. When building a new component, the first step is to identify the way it must be configured. The two main concepts are: The DataStore which is the way you can access the backend. The DataSet which is the way you interact with the backend. For example: Example description DataStore DataSet Accessing a relational database like MySQL JDBC driver, URL, username, password Query to execute, row mapper, and so on. Accessing a file system File pattern (or directory + file extension/prefix/…) File format, buffer size, and so on. It is common to have the dataset including the datastore, because both are required to work. However, it is recommended to replace this pattern by defining both dataset and datastore in a higher level configuration model. For example: Input and output components are particular because they can be linked to a set of actions. It is recommended to wire all the actions you can apply to ensure the consumers of your component can provide a rich experience to their users. The most common actions are the following ones: This action exposes a way to ensure the datastore/connection works. Configuration example: Action example: Until the studio integration is complete, it is recommended to limit processors to one input. Configuring processor components is simpler than configuring input and output components because it is specific for each component. For example, a mapper takes the mapping between the input and output models: It is recommended to provide as much information as possible to let the UI work with the data during its edition. Light validations are all the validations you can execute on the client side. They are listed in the UI hint section. Use light validations first before going with custom validations because they are more efficient. Custom validations enforce custom code to be executed, but are heavier to execute. Prefer using light validations when possible. Define an action with the parameters needed for the validation and link the option you want to validate to this action. For example, to validate a dataset for a JDBC driver: You can also define a Validable class and use it to validate a form by setting it on your whole configuration: The parameter binding of the validation method uses the same logic as the component configuration injection. Therefore, the @Option method specifies the prefix to use to reference a parameter. It is recommended to use @Option("value") until you know exactly why you don’t use it. This way, the consumer can match the configuration model and just prefix it with value. to send the instance to validate. Validations are triggers based on "events". If you mark part of a configuration as @Validable but this configuration is translated to a widget without any interaction, then no validation will happen. The rule of thumb is to mark only primitives and simple types (list of primitives) as @Validable. It can be handy and user-friendly to provide completion on some fields. For example, to define completion for available drivers: Each component must have its own icon: You can use talend.surge.sh/icons/ to find the icon you want to use. It is recommended to enforce the version of your component, event though it is not mandatory for the first version. If you break a configuration entry in a later version; make sure to: Upgrade the version. Support a migration of the configuration. testing your components is critical. You can use unit and simple standalone JUnit tests, but it is also highly recommended to have Beam tests in order to make sure that your component works in Big Data.

This tutorial shows how to adapt the test configuration of the Zendesk search component that was done in this previous tutorial to make it work in a Continuous Integration environment. In the test, the Zendesk credentials are used directly in the code to perform a first capture of the API response. Then, fake credentials are used in the simulation mode because the real API is not called anymore. However, in some cases, you can require to continue calling the real API on a CI server or on a specific environment. To do that, you can adapt the test to get the credentials depending on the execution mode (simulation/passthrough). These instructions concern the CI server or on any environment that requires real credentials. This tutorial uses: A Maven server that supports password encryption as a credential provider. Encryption is optional but recommended. The MavenDecrypterRule test rule provided by the framework. This rule lets you get credentials from Maven settings using a server ID. To create encrypted server credentials for the Zendesk instance: Create a master password using the command: mvn --encrypt-master-password . Store this master password in the settings-security.xml file of the ~/.m2 folder. Encrypt the Zendesk instance password using the command: mvn --encrypt-password . Create a server entry under servers in Maven settings.xml file located in the ~/.m2 folder. You can store the settings-security.xml and settings.xml files elsewhere that the default location (~/.m2). To do that, set the path of the directory containing the files in the talend.maven.decrypter.m2.location environment variable. Add the MavenDecrypterRule rule to the test class. This rule allows to inject server information stored in Maven settings.xml file to the test. The rule also decrypts credentials if they are encrypted. Inject the Zendesk server to the test. To do that, add a new field to the class with the @DecryptedServer annotation, that holds the server ID to be injected. The MavenDecrypterRule is able to inject the server instance into this class at runtime. The server instance contains the username and the decrypted password. Use the server instance in the test to get the real credentials in a secured manner. Once modified, the complete test class looks as follows: This test will continue to work in simulation mode, because the API simulation proxy is activated. This tutorial shows how to set up a CI server in passthrough mode using Jenkins. Log in to Jenkins. Click New Item to create a new build job. Enter an Item name (Job name) and choose the freestyle job. Then click OK. In the Source Code Management section, enter your project repository URL. A GitHub repository is used in this tutorial. Specify the master branch as Branches to build. In the Build section, click Add build step and choose Invoke top-level Maven targets. Choose your Maven version and enter the Maven build command. In this case: clean install. Then, click Save. The -Dtalend.junit.http.passthrough=true option is part of the build command. This option tells the API simulation proxy to run in passthrough mode. This way, all the HTTP requests made in the test are forwarded to the real API server. The MavenDecrypterRule rule allows to get the real credentials. You can configure the passthrough mode globally on your CI server by setting the talend.junit.http.passthrough environment variable to true. Test the job by selecting Build now, and check that the job has built correctly. Now your tests run in a simulation mode on your development environment and in a passthrough mode on your CI server.

This tutorial walks you through the creation, from scratch, of a complete Talend input component for Hazelcast using the Talend Component Kit (TCK) framework. Hazelcast is an in-memory distributed system that can store data, which makes it a good example of input component for distributed systems. This is enough for you to get started with this tutorial, but you can find more information about it here: hazelcast.org/. A TCK project is a simple Java project with specific configurations and dependencies. You can choose your preferred build tool from Maven or Gradle as TCK supports both. In this tutorial, Maven is used. The first step consists in generating the project structure using Talend Starter Toolkit . Go to starter-toolkit.talend.io/ and fill in the project information as shown in the screenshots below, then click Finish and Download as ZIP. image::tutorial_hazelcast_generateproject_1.png[] image::tutorial_hazelcast_generateproject_2.png[] Extract the ZIP file into your workspace and import it to your preferred IDE. This tutorial uses Intellij IDE, but you can use Eclipse or any other IDE that you are comfortable with. You can use the Starter Toolkit to define the full configuration of the component, but in this tutorial some parts are configured manually to explain key concepts of TCK. The generated pom.xml file of the project looks as follows: Change the name tag to a more relevant value, for example: Component Hazelcast. The component-api dependency provides the necessary API to develop the components. talend-component-maven-plugin provides build and validation tools for the component development. The Java compiler also needs a Talend specific configuration for the components to work correctly. The most important is the -parameters option that preserves the parameter names needed for introspection features that TCK relies on. Download the mvn dependencies declared in the pom.xml file: You should get a BUILD SUCCESS at this point: Create the project structure: Create the component Java packages. Packages are mandatory in the component model and you cannot use the default one (no package). It is recommended to create a unique package per component to be able to reuse it as dependency in other components, for example to guarantee isolation while writing unit tests. The project is now correctly set up. The next steps consist in registering the component family and setting up some properties. Registering every component family allows the component server to properly load the components and to ensure they are available in Talend Studio. The family registration happens via a package-info.java file that you have to create. Move to the src/main/java/org/talend/components/hazelcast package and create a package-info.java file: @Components: Declares the family name and the categories to which the component belongs. @Icon: Defines the component family icon. This icon is visible in the Studio metadata tree. Talend Component Kit supports internationalization (i18n) via Java properties files. Using these files, you can customize and translate the display name of properties such as the name of a component family or, as shown later in this tutorial, labels displayed in the component configuration. Go to src/main/resources/org/talend/components/hazelcast and create an i18n Messages.properties file as below: You can define the component family icon in the package-info.java file. The icon image must exist in the resources/icons folder. TCK supports both SVG and PNG formats for the icons. Create the icons folder and add an icon image for the Hazelcast family. This tutorial uses the Hazelcast icon from the official GitHub repository that you can get from: avatars3.githubusercontent.com/u/1453152?s=200&v=4 Download the image and rename it to Hazelcast_icon32.png. The name syntax is important and should match _icon.32.png. The component registration is now complete. The next step consists in defining the component configuration. All Input and Output (I/O) components follow a predefined model of configuration. The configuration requires two parts: Datastore: Defines all properties that let the component connect to the targeted system. Dataset: Defines the data to be read or written from/to the targeted system. Connecting to the Hazelcast cluster requires the IP address, group name and password of the targeted cluster. In the component, the datastore is represented by a simple POJO. Create a HazelcastDatastore.java class file in the src/main/java/org/talend/components/hazelcast folder. Define the i18n properties of the datastore. In the Messages.properties file let add the following lines: The Hazelcast datastore is now defined. Hazelcast includes different types of datastores. You can manipulate maps, lists, sets, caches, locks, queues, topics and so on. This tutorial focuses on maps but still applies to the other data structures. Reading/writing from a map requires the map name. Create the dataset class by creating a HazelcastDataset.java file in src/main/java/org/talend/components/hazelcast. The @Dataset annotation marks the class as a dataset. Note that it also references a datastore, as required by the components model. Just how it was done for the datastore, define the i18n properties of the dataset. To do that, add the following lines to the Messages.properties file. The component configuration is now ready. The next step consists in creating the Source that will read the data from the Hazelcast map. The Source is the class responsible for reading the data from the configured dataset. A source gets the configuration instance injected by TCK at runtime and uses it to connect to the targeted system and read the data. Create a new class as follows. The source also needs i18n properties to provide a readable display name. Add the following line to the Messages.properties file. At this point, it is already possible to see the result in the Talend Component Web Tester to check how the configuration looks like and validate the layout visually. To do that, execute the following command in the project folder. This command starts the Component Web Tester and deploys the component there. Access localhost:8080/. The source is set up. It is now time to start creating some Hazelcast specific code to connect to a cluster and read values for a map. Add the hazelcast-client Maven dependency to the pom.xml of the project, in the dependencies node. Add a Hazelcast instance to the @PostConstruct method. Declare a HazelcastInstance attribute in the source class. Any non-serializable attribute needs to be marked as transient to avoid serialization issues. Implement the post construct method. The component configuration is mapped to the Hazelcast client configuration to create a Hazelcast instance. This instance will be used later to get the map from its name and read the map data. Only the required configuration in the component is exposed to keep the code as simple as possible. Implement the code responsible for reading the data from the Hazelcast map through the Producer method. The Producer implements the following logic: Check if the map iterator is already initialized. If not, get the map from its name and initialize the map iterator. This is done in the @Producer method to ensure the map is initialized only if the next() method is called (lazy initialization). It also avoids the map initialization in the PostConstruct method as the Hazelcast map is not serializable. All the objects initialized in the PostConstruct method need to be serializable as the source can be serialized and sent to another worker in a distributed cluster. From the map, create an iterator on the map keys that will read from the map. Transform every key/value pair into a Talend Record with a "key, value" object on every call to next(). The RecordBuilderFactory class used above is a built-in service in TCK injected via the Source constructor. This service is a factory to create Talend Records. Now, the next() method will produce a Record every time it is called. The method will return "null" if there is no more data in the map. Implement the @PreDestroy annotated method, responsible for releasing all resources used by the Source. The method needs to shut the Hazelcast client instance down to release any connection between the component and the Hazelcast cluster. The Hazelcast Source is completed. The next section shows how to write a simple unit test to check that it works properly. TCK provides a set of APIs and tools that makes the testing straightforward. The test of the Hazelcast Source consists in creating an embedded Hazelcast instance with only one member and initializing it with some data, and then in creating a test Job to read the data from it using the implemented Source. Add the required Maven test dependencies to the project. Initialize a Hazelcast test instance and create a map with some test data. To do that, create the HazelcastSourceTest.java test class in the src/test/java folder. Create the folder if it does not exist. The above example creates a Hazelcast instance for the test and creates the MY-DISTRIBUTED-MAP map. The getMap creates the map if it does not already exist. Some keys and values uses in the test are added. Then, a simple test checks that the data is correctly initialized. Finally, the Hazelcast test instance is shut down. Run the test and check in the logs that a Hazelcast cluster of one member has been created and that the test has passed. To be able to test components, TCK provides the @WithComponents annotation which enables component testing. Add this annotation to the test. The annotation takes the component Java package as a value parameter. Create the test Job that configures the Hazelcast instance and link it to an output that collects the data produced by the Source. Execute the unit test and check that it passes, meaning that the Source is reading the data correctly from Hazelcast. The Source is now completed and tested. The next section shows how to implement the Partition Mapper for the Source. In this case, the Partition Mapper will split the work (data reading) between the available cluster members to distribute the workload. The Partition Mapper calculates the number of Sources that can be created and executed in parallel on the available workers of a distributed system. For Hazelcast, it corresponds to the cluster member count. To fully illustrate this concept, this section also shows how to enhance the test environment to add more Hazelcast cluster members and initialize it with more data. Instantiate more Hazelcast instances, as every Hazelcast instance corresponds to one member in a cluster. In the test, it is reflected as follows: The above code sample creates two Hazelcast instances, leading to the creation of two Hazelcast members. Having a cluster of two members (nodes) will allow to distribute the data. The above code also adds more data to the test map and updates the shutdown method and the test. Run the test on the multi-nodes cluster. The Source is a simple implementation that does not distribute the workload and reads the data in a classic way, without distributing the read action to different cluster members. Start implementing the Partition Mapper class by creating a HazelcastPartitionMapper.java class file. When coupling a Partition Mapper with a Source, the Partition Mapper becomes responsible for injecting parameters and creating source instances. This way, all the attribute initialization part moves from the Source to the Partition Mapper class. The configuration also sets an instance name to make it easy to find the client instance in the logs or while debugging. The Partition Mapper class is composed of the following: constructor: Handles configuration and service injections Assessor: This annotation indicates that the method is responsible for assessing the dataset size. The underlying runner uses the estimated dataset size to compute the optimal bundle size to distribute the workload efficiently. Split: This annotation indicates that the method is responsible for creating Partition Mapper instances based on the bundle size requested by the underlying runner and the size of the dataset. It creates as much partitions as possible to parallelize and distribute the workload efficiently on the available workers (known as members in the Hazelcast case). Emitter: This annotation indicates that the method is responsible for creating the Source instance with an adapted configuration allowing to handle the amount of records it will produce and the required services. I adapts the configuration to let the Source read only the requested bundle of data. The Assessor method computes the memory size of every member of the cluster. Implementing it requires submitting a calculation task to the members through a serializable task that is aware of the Hazelcast instance. Create the serializable task. The purpose of this class is to submit any task to the Hazelcast cluster. Use the created task to estimate the dataset size in the Assessor method. The Assessor method calculates the memory size that the map occupies for all members. In Hazelcast, distributing a task to all members can be achieved using an execution service initialized in the getExecutorService() method. The size of the map is requested on every available member. By summing up the results, the total size of the map in the distributed cluster is computed. The Split method calculates the heap size of the map on every member of the cluster. Then, it calculates how many members a source can handle. If a member contains less data than the requested bundle size, the method tries to combine it with another member. That combination can only happen if the combined data size is still less or equal to the requested bundle size. The following code illustrates the logic described above. The next step consists in adapting the source to take the Split into account. The following sample shows how to adapt the Source to the Split carried out previously. The next method reads the data from the members received from the Partition Mapper. A Big Data runner like Spark will get multiple Source instances. Every source instance will be responsible for reading data from a specific set of members already calculated by the Partition Mapper. The data is fetched only when the next method is called. This logic allows to stream the data from members without loading it all into the memory. Implement the method annotated with @Emitter in the HazelcastPartitionMapper class. The createSource() method creates the source instance and passes the required services and the selected Hazelcast members to the source instance. Run the test and check that it works as intended. The component implementation is now done. It is able to read data and to distribute the workload to available members in a Big Data execution environment. Refactor the component by introducing a service to make some pieces of code reusable and avoid code duplication. Refactor the Hazelcast instance creation into a service. Inject this service to the Partition Mapper to reuse it. Adapt the Source class to reuse the service. Run the test one last time to ensure everything still works as expected. Thank you for following this tutorial. Use the logic and approach presented here to create any input component for any system.

To develop new components, Talend Component Kit requires a build tool in which you will import the component project generated from the starter. You will then be able to install and deploy it to Talend applications. A Talend Component Kit plugin is available for each of the supported build tools. talend-component-maven-plugin helps you write components that match best practices and generate transparently metadata used by Talend Studio. You can use it as follows: This plugin is also an extension so you can declare it in your build/extensions block as: Used as an extension, the goals detailed in this document will be set up. The Talend Component Kit plugin integrates some specific goals within Maven build lifecycle. For example, to compile the project and prepare for deploying your component, run mvn clean install. Using this command, the following goals are executed: The build is split into several phases. The different goals are executed in the order shown above. Talend Component Kit uses default goals from the Maven build lifecycle and adds additional goals to the building and packaging phases. Goals added to the build by Talend Component Kit are detailed below. The default lifecycle is detailed in Maven documentation. The Talend Component Kit plugin for Maven integrates several specific goals into Maven build lifecycle. To run specific goals individually, run the following command from the root of the project, by adapting it with each goal name, parameters and values: The first goal is a shortcut for the maven-dependency-plugin. It creates the TALEND-INF/dependencies.txt file with the compile and runtime dependencies, allowing the component to use it at runtime: The scan-descriptor goal scans the current module and optionally other configured folders to precompute the list of interesting classes for the framework (components, services). It allows to save some bootstrap time when launching a job, which can be useful in some execution cases: Configuration - excluding parameters used by default only: Name Description User property Default output Where to dump the scan result. Note: It is not supported to change that value in the runtime. talend.scan.output ${project.build.outputDirectory}/TALEND-INF/scanning.properties scannedDirectories Explicit list of directories to scan. talend.scan.scannedDirectories If not set, defaults to ${project.build.outputDirectory} scannedDependencies Explicit list of dependencies to scan - set them in the groupId:artifactId format. The list is appended to the file to scan. talend.scan.scannedDependencies - The svg2png goal scans a directory - default to target/classes/icons - to find .svg files and copy them in a PNG version size at 32x32px and named with the suffix _icon32.png to enable the studio to read it: Configuration: Name Description User property Default icons Where to scan for the SVG icons to convert in PNG. talend.icons.source ${project.build.outputDirectory}/icons workarounds By default the shape of the icon will be enforce in the RGB channels (in white) using the alpha as reference. This is useful for black/white images using alpha to shape the picture because Eclipse - Talend Studio - caches icons using RGB but not alpha channel, pictures not using alpha channel to draw their shape should disable that workaround. talend.icons.workaround true if you use that plugin, ensure to set it before the validate mojo otherwise validation can miss some png files. This goal helps you validate the common programming model of the component. To activate it, you can use following execution definition: It is bound to the process-classes phase by default. When executed, it performs several validations that can be disabled by setting the corresponding flags to false in the block of the execution: Name Description User property Default validateInternationalization Validates that resource bundles are presents and contain commonly used keys (for example, _displayName) talend.validation.internationalization true validateModel Ensures that components pass validations of the ComponentManager and Talend Component runtime talend.validation.model true validateSerializable Ensures that components are Serializable. This is a sanity check, the component is not actually serialized here. If you have a doubt, make sure to test it. It also checks that any @Internationalized class is valid and has its keys. talend.validation.serializable true validateMetadata Ensures that components have an @Icon and a @Version defined. talend.validation.metadata true validateDataStore Ensures that any @DataStore defines a @HealthCheck and has a unique name. talend.validation.datastore true validateDataSet Ensures that any @DataSet has a unique name. Also ensures that there is a source instantiable just filling the dataset properties (all others not being required). Finally, the validation checks that each input or output component uses a dataset and that this dataset has a datastore. talend.validation.dataset true validateComponent Ensures that the native programming model is respected. You can disable it when using another programming model like Beam. talend.validation.component true validateActions Validates action signatures for actions not tolerating dynamic binding (@HealthCheck, @DynamicValues, and so on). It is recommended to keep it set to true. talend.validation.action true validateFamily Validates the family by verifying that the package containing the @Components has a @Icon property defined. talend.validation.family true validateDocumentation Ensures that all components and @Option properties have a documentation using the @Documentation property. talend.validation.documentation true validateLayout Ensures that the layout is referencing existing options and properties. talend.validation.layout true validateOptionNames Ensures that the option names are compliant with the framework. It is highly recommended and safer to keep it set to true. talend.validation.options true validateLocalConfiguration Ensures that if any TALEND-INF/local-configuration.properties exists then keys start with the family name. talend.validation.localConfiguration true validateOutputConnection Ensures that an output has only one input branch. talend.validation.validateOutputConnection true validatePlaceholder Ensures that string options have a placeholder. It is highly recommended to turn this property on. talend.validation.placeholder false locale The locale used to validate internationalization. talend.validation.locale root The asciidoc goal generates an Asciidoc file documenting your component from the configuration model (@Option) and the @Documentation property that you can add to options and to the component itself. Name Description User property Default level Level of the root title. talend.documentation.level 2 (==) output Output folder path. It is recommended to keep it to the default value. talend.documentation.output ${classes}/TALEND-INF/documentation.adoc formats Map of the renderings to do. Keys are the format (pdf or html) and values the output paths. talend.documentation.formats - attributes Asciidoctor attributes to use for the rendering when formats is set. talend.documentation.attributes - templateEngine Template engine configuration for the rendering. talend.documentation.templateEngine - templateDir Template directory for the rendering. talend.documentation.templateDir - title Document title. talend.documentation.title ${project.name} version The component version. It defaults to the pom version talend.documentation.version ${project.version} workDir The template directory for the Asciidoctor rendering - if 'formats' is set. talend.documentation.workdDir ${project.build.directory}/talend-component/workdir attachDocumentations Allows to attach (and deploy) the documentations (.adoc, and formats keys) to the project. talend.documentation.attach true htmlAndPdf If you use the plugin as an extension, you can add this property and set it to true in your project to automatically get HTML and PDF renderings of the documentation. talend.documentation.htmlAndPdf false To render the generated documentation in HTML or PDF, you can use the Asciidoctor Maven plugin (or Gradle equivalent). You can configure both executions if you want both HTML and PDF renderings. Make sure to execute the rendering after the documentation generation. If you prefer a HTML rendering, you can configure the following execution in the asciidoctor plugin. The example below: Generates the components documentation in target/classes/TALEND-INF/documentation.adoc. Renders the documentation as an HTML file stored in target/documentation/documentation.html. If you prefer a PDF rendering, you can configure the following execution in the asciidoctor plugin: If you want to add some more content or a title, you can include the generated document into another document using Asciidoc include directive. For example: To be able to do that, you need to pass the generated_doc attribute to the plugin. For example: This is optional but allows to reuse Maven placeholders to pass paths, which can be convenient in an automated build. You can find more customization options on Asciidoctor website. testing the rendering of your component configuration into the Studio requires deploying the component in Talend Studio. Refer to the Studio documentation. In the case where you need to deploy your component into a Cloud (web) environment, you can test its web rendering by using the web goal of the plugin: Run the mvn talend-component:web command. Open the following URL in a web browser: localhost:8080. Select the component form you want to see from the treeview on the left. The selected form is displayed on the right. Two parameters are available with the plugin: serverPort, which allows to change the default port (8080) of the embedded server. Its associated user property is talend.web.port. serverArguments, that you can use to pass Meecrowave options to the server. Learn more about that configuration at openwebbeans.apache.org/meecrowave/meecrowave-core/cli.html. Make sure to install the artifact before using this command because it reads the component JAR from the local Maven repository. Finally, you can switch the lang of the component UI (documentation, form) using language query parameter in the webapp. For instance localhost:8080?language=fr. If you built a custom UI (JS + CSS) bundle and want to test it in the web application, you can configure it in the pom.xml file as follows: This is an advanced feature designed for expert users. Use it with caution. Component ARchive (.car) is the way to bundle a component to share it in the Talend ecosystem. It is an executable Java ARchive (.jar) containing a metadata file and a nested Maven repository containing the component and its dependencies. This command creates a .car file in your build directory. This file can be shared on Talend platforms. This command has some optional parameters: Name Description User property Default attach Specifies whether the component archive should be attached. talend.car.attach true classifier The classifier to use if attach is set to true. talend.car.classifier component metadata Additional custom metadata to bundle in the component archive. - - output Specifies the output path and name of the archive talend.car.output ${project.build.directory}/${project.build.finalName}.car packaging Specifies the packaging - ${project.packaging} This CAR is executable and exposes the studio-deploy command which takes a Talend Studio home path as parameter. When executed, it installs the dependencies into the Studio and registers the component in your instance. For example: You can also upload the dependencies to your Nexus server using the following command: In this command, Nexus URL and repository name are mandatory arguments. All other arguments are optional. If arguments contain spaces or special symbols, you need to quote the whole value of the argument. For example: The deploy-in-studio goal deploys the current component module into a local Talend Studio instance. Name Description User property Default studioHome Path to the Studio home directory talend.component.studioHome - studioM2 Path to the Studio maven repository if not the default one talend.component.studioM2 - You can use the following command from the root folder of your project: The help goal displays help information on talend-component-maven-plugin. Call mvn talend-component:help -Ddetail=true -Dgoal= to display the parameter details of a specific goal. Name Description User property Default detail Displays all settable properties for each goal. detail false goal The name of the goal for which to show help. If unspecified, all goals are displayed. goal - indentSize Number of spaces per indentation level. This integer should be positive. indentSize 2 lineLength Maximum length of a display line. This integer should be positive. lineLength 80

This tutorial is the continuation of Talend Input component for Hazelcast tutorial. We will not walk through the project creation again, So please start from there before taking this one. This tutorial shows how to create a complete working output component for Hazelcast As seen before, in Hazelcast there is multiple data source type. You can find queues, topics, cache, maps… In this tutorials we will stick with the Map dataset and all what we will see here is applicable to the other types. Let’s assume that our Hazelcast output component will be responsible of inserting data into a distributed Map. For that, we will need to know which attribute from the incoming data is to be used as a key in the map. The value will be the hole record encoded into a json format. Bu that in mind, we can design our output configuration as: the same Datastore and Dataset from the input component and an additional configuration that will define the key attribute. Let’s create our Output configuration class. Let’s add the i18n properties of our configuration into the Messages.properties file The skeleton of the output component looks as follows: @Version annotation indicates the version of the component. It is used to migrate the component configuration if needed. @Icon annotation indicates the icon of the component. Here, the icon is a custom icon that needs to be bundled in the component JAR under resources/icons. @Processor annotation indicates that this class is the processor (output) and defines the name of the component. constructor of the processor is responsible for injecting the component configuration and services. Configuration parameters are annotated with @Option. The other parameters are considered as services and are injected by the component framework. Services can be local (class annotated with @Service) or provided by the component framework. The method annotated with @PostConstruct is executed once by instance and can be used for initialization. The method annotated with @PreDestroy is used to clean resources at the end of the execution of the output. Data is passed to the method annotated with @ElementListener. That method is responsible for handling the data output. You can define all the related logic in this method. If you need to bulk write the updates accordingly to groups, see Processors and batch processing. Now, we will need to add the display name of the Output to the i18n resources file Messages.properties Let’s implement all of those methods We will create the outpu contructor to inject the component configuration and some additional local and built in services. Built in services are services provided by TCK. Here we find: configuration is the component configuration class hazelcastService is the service that we have implemented in the input component tutorial. it will be responsible of creating a hazelcast client instance. jsonb is a built in service provided by tck to handle json object serialization and deserialization. We will use it to convert the incoming record to json format before inseting them into the map. Nothing to do in the post construct method. but we could for example initialize a hazle cast instance there. but we will do it in a lazy way on the first call in the @ElementListener method Shut down the Hazelcast client instance and thus free the Hazelcast map reference. We get the key attribute from the incoming record and then convert the hole record to a json string. Then we insert the key/value into the hazelcast map. Let’s create a unit test for our output component. The idea will be to create a job that will insert the data using this output implementation. So, let’s create out test class. Here we start by creating a hazelcast test instance, and we initialize the map. we also shutdown the instance after all the test are executed. Now let’s create our output test. Here we start preparing the emitter test component provided bt TCK that we use in our test job to generate random data for our output. Then, we use the output component to fill the hazelcast map. By the end we test that the map contains the exact amount of data inserted by the job. Run the test and check that it’s working. Congratulation you just finished your output component.

Talend Component Kit is a Java framework designed to simplify the development of components at two levels: The Runtime, that injects the specific component code into a job or pipeline. The framework helps unifying as much as possible the code required to run in Data Integration (DI) and BEAM environments. The Graphical interface. The framework helps unifying the code required to render the component in a browser or in the Eclipse-based Talend Studio (SWT). Most part of the development happens as a Maven or Gradle project and requires a dedicated tool such as IntelliJ. The Component Kit is made of: A Starter, that is a graphical interface allowing you to define the skeleton of your development project. APIs to implement components UI and runtime. Development tools: Maven and Gradle wrappers, validation rules, packaging, Web preview, etc. A testing kit based on JUnit 4 and 5. By using this tooling in a development environment, you can start creating components as described below. Developing new components using the Component Kit framework includes: Creating a project using the starter or the Talend IntelliJ plugin. This step allows to build the skeleton of the project. It consists in: Defining the general configuration model for each component in your project. Generating and downloading the project archive from the starter. Compiling the project. Importing the compiled project in your IDE. This step is not required if you have generated the project using the IntelliJ plugin. Implementing the components, including: Registering the components by specifying their metadata: family, categories, version, icon, type and name. Defining the layout and configurable part of the components. Defining the execution logic of the components, also called runtime. testing the components. Deploying the components to Talend Studio or Cloud applications. Optionally, you can use services. Services are predefined or user-defined configurations that can be reused in several components. There are four types of components, each type coming with its specificities, especially on the runtime side. Input components: Retrieve the data to process from a defined source. An input component is made of: The execution logic of the component, represented by a Mapper or an Emitter class. The source logic of the component, represented by a Source class. The layout of the component and the configuration that the end-user will need to provide when using the component, defined by a Configuration class. All input components must have a dataset specified in their configuration, and every dataset must use a datastore. Processors: Process and transform the data. A processor is made of: The execution logic of the component, describing how to process each records or batches of records it receives. It also describes how to pass records to its output connections. This logic is defined in a Processor class. The layout of the component and the configuration that the end-user will need to provide when using the component, defined by a Configuration class. Output components: Send the processed data to a defined destination. An output component is made of: The execution logic of the component, describing how to process each records or batches of records it receives. This logic is defined in an Output class. Unlike processors, output components are the last components of the execution and return no data. The layout of the component and the configuration that the end-user will need to provide when using the component, defined by a Configuration class. All input components must have a dataset specified in their configuration, and every dataset must use a datastore. Standalone components: Make a call to the service or run a query on the database. A standalone component is made of: The execution logic of the component, represented by a DriverRunner class. The layout of the component and the configuration that the end-user will need to provide when using the component, defined by a Configuration class. All input components must have a datastore or dataset specified in their configuration, and every dataset must use a datastore. The following example shows the different classes of an input components in a multi-component development project: Setup your development environment Generate your first project and develop your first component

Developing new components using the Component Kit framework includes: Creating a project using the starter or the Talend IntelliJ plugin. This step allows to build the skeleton of the project. It consists in: Defining the general configuration model for each component in your project. Generating and downloading the project archive from the starter. Compiling the project. Importing the compiled project in your IDE. This step is not required if you have generated the project using the IntelliJ plugin. Implementing the components, including: Registering the components by specifying their metadata: family, categories, version, icon, type and name. Defining the layout and configurable part of the components. Defining the execution logic of the components, also called runtime. testing the components. Deploying the components to Talend Studio or Cloud applications. Optionally, you can use services. Services are predefined or user-defined configurations that can be reused in several components.

The component configuration is defined in the Configuration.java file of the package. It consists in defining the configurable part of the component that will be displayed in the UI. To do that, you can specify parameters. When you import the project in your IDE, the parameters that you have specified in the starter are already present. All input and output components must reference a dataset in their configuration. Refer to Defining datasets and datastores. Components are configured using their constructor parameters. All parameters can be marked with the @Option property, which lets you give a name to them. For the name to be correct, you must follow these guidelines: Use a valid Java name. Do not include any . character in it. Do not start the name with a $. Defining a name is optional. If you don’t set a specific name, it defaults to the bytecode name. This can require you to compile with a -parameter flag to avoid ending up with names such as arg0, arg1, and so on. Examples of option name: Option name Valid myName my_name my.name $myName Parameter types can be primitives or complex objects with fields decorated with @Option exactly like method parameters. It is recommended to use simple models which can be serialized in order to ease serialized component implementations. For example: Using this kind of API makes the configuration extensible and component-oriented, which allows you to define all you need. The instantiation of the parameters is done from the properties passed to the component. A primitive is a class which can be directly converted from a String to the expected type. It includes all Java primitives, like the String type itself, but also all types with a org.apache.xbean.propertyeditor.Converter: BigDecimal BigInteger File InetAddress ObjectName URI URL Pattern LocalDateTime ZonedDateTime The conversion from property to object uses the Dot notation. For example, assuming the method parameter was configured with @Option("file"): matches Lists rely on an indexed syntax to define their elements. For example, assuming that the list parameter is named files and that the elements are of the FileOptions type, you can define a list of two elements as follows: if you desire to override a config to truncate an array, use the index length, for example to truncate previous example to only CSV, you can set: Similarly to the list case, the map uses .key[index] and .value[index] to represent its keys and values: Avoid using the Map type. Instead, prefer configuring your component with an object if this is possible. You can use metadata to specify that a field is required or has a minimum size, and so on. This is done using the validation metadata in the org.talend.sdk.component.api.configuration.constraint package: Ensure the decorated option size is validated with a higher bound. API: @org.talend.sdk.component.api.configuration.constraint.Max Name: maxLength Parameter Type: double Supported Types: — java.lang.CharSequence Sample: Ensure the decorated option size is validated with a lower bound. API: @org.talend.sdk.component.api.configuration.constraint.Min Name: minLength Parameter Type: double Supported Types: — java.lang.CharSequence Sample: Validate the decorated string with a javascript pattern (even into the Studio). API: @org.talend.sdk.component.api.configuration.constraint.Pattern Name: pattern Parameter Type: java.lang.string Supported Types: — java.lang.CharSequence Sample: Ensure the decorated option size is validated with a higher bound. API: @org.talend.sdk.component.api.configuration.constraint.Max Name: max Parameter Type: double Supported Types: — java.lang.Number — int — short — byte — long — double — float Sample: Ensure the decorated option size is validated with a lower bound. API: @org.talend.sdk.component.api.configuration.constraint.Min Name: min Parameter Type: double Supported Types: — java.lang.Number — int — short — byte — long — double — float Sample: Mark the field as being mandatory. API: @org.talend.sdk.component.api.configuration.constraint.Required Name: required Parameter Type: - Supported Types: — java.lang.Object Sample: Ensure the decorated option size is validated with a higher bound. API: @org.talend.sdk.component.api.configuration.constraint.Max Name: maxItems Parameter Type: double Supported Types: — java.util.Collection Sample: Ensure the decorated option size is validated with a lower bound. API: @org.talend.sdk.component.api.configuration.constraint.Min Name: minItems Parameter Type: double Supported Types: — java.util.Collection Sample: Ensure the elements of the collection must be distinct (kind of set). API: @org.talend.sdk.component.api.configuration.constraint.Uniques Name: uniqueItems Parameter Type: - Supported Types: — java.util.Collection Sample: When using the programmatic API, metadata is prefixed by tcomp::. This prefix is stripped in the web for convenience, and the table above uses the web keys. Also note that these validations are executed before the runtime is started (when loading the component instance) and that the execution will fail if they don’t pass. If it breaks your application, you can disable that validation on the JVM by setting the system property talend.component.configuration.validation.skip to true. Datasets and datastores are configuration types that define how and where to pull the data from. They are used at design time to create shared configurations that can be stored and used at runtime. All connectors (input and output components) created using Talend Component Kit must reference a valid dataset. Each dataset must reference a datastore. Datastore: The data you need to connect to the backend. Dataset: A datastore coupled with the data you need to execute an action. Make sure that: a datastore is used in each dataset. each dataset has a corresponding input component (mapper or emitter). This input component must be able to work with only the dataset part filled by final users. Any other property implemented for that component must be optional. These rules are enforced by the validateDataSet validation. If the conditions are not met, the component builds will fail. Make sure that: a datastore is used in each dataset. each dataset has a corresponding input component (mapper or emitter). This input component must be able to work with only the dataset part filled by final users. Any other property implemented for that component must be optional. These rules are enforced by the validateDataSet validation. If the conditions are not met, the component builds will fail. A datastore defines the information required to connect to a data source. For example, it can be made of: a URL a username a password. You can specify a datastore and its context of use (in which dataset, etc.) from the Component Kit Starter. Make sure to modelize the data your components are designed to handle before defining datasets and datastores in the Component Kit Starter. Once you generate and import the project into an IDE, you can find datastores under a specific datastore node. Example of datastore: A dataset represents the inbound data. It is generally made of: A datastore that defines the connection information needed to access the data. A query. You can specify a dataset and its context of use (in which input and output component it is used) from the Component Kit Starter. Make sure to modelize the data your components are designed to handle before defining datasets and datastores in the Component Kit Starter. Once you generate and import the project into an IDE, you can find datasets under a specific dataset node. Example of dataset referencing the datastore shown above: The display name of each dataset and datastore must be referenced in the message.properties file of the family package. The key for dataset and datastore display names follows a defined pattern: ${family}.${configurationType}.${name}._displayName. For example: These keys are automatically added for datasets and datastores defined from the Component Kit Starter. When deploying a component or set of components that include datasets and datastores to Talend Studio, a new node is created under Metadata. This node has the name of the component family that was deployed. It allows users to create reusable configurations for datastores and datasets. With predefined datasets and datastores, users can then quickly fill the component configuration in their jobs. They can do so by selecting Repository as Property Type and by browsing to the predefined dataset or datastore. Studio will generate connection and close components auto for reusing connection function in input and output components, just need to do like this example: Then the runtime mapper and processor only need to use @Connection to get the connection like this: The component server scans all configuration types and returns a configuration type index. This index can be used for the integration into the targeted platforms (Studio, web applications, and so on). Mark a model (complex object) as being a dataset. API: @org.talend.sdk.component.api.configuration.type.DataSet Sample: Mark a model (complex object) as being a datastore (connection to a backend). API: @org.talend.sdk.component.api.configuration.type.DataStore Sample: Mark a model (complex object) as being a dataset discovery configuration. API: @org.talend.sdk.component.api.configuration.type.DatasetDiscovery Sample: The component family associated with a configuration type (datastore/dataset) is always the one related to the component using that configuration. The configuration type index is represented as a flat tree that contains all the configuration types, which themselves are represented as nodes and indexed by ID. Every node can point to other nodes. This relation is represented as an array of edges that provides the child IDs. As an illustration, a configuration type index for the example above can be defined as follows: If you need to define a binding between properties, you can use a set of annotations: If the evaluation of the element at the location matches value then the element is considered active, otherwise it is deactivated. API: @org.talend.sdk.component.api.configuration.condition.ActiveIf Type: if Sample: Allows to set multiple visibility conditions on the same property. API: @org.talend.sdk.component.api.configuration.condition.ActiveIfs Type: ifs Sample: Where: target is the element to evaluate. value is the value to compare against. strategy (optional) is the evaluation criteria. Possible values are: CONTAINS: Checks if a string or list of strings contains the defined value. DEFAULT: Compares against the raw value. LENGTH: For an array or string, evaluates the size of the value instead of the value itself. negate (optional) defines if the test must be positive (default, set to false) or negative (set to true). operator (optional) is the comparison operator used to combine several conditions, if applicable. Possible values are AND and OR. The target element location is specified as a relative path to the current location, using Unix path characters. The configuration class delimiter is /. The parent configuration class is specified by ... Thus, ../targetProperty denotes a property, which is located in the parent configuration class and is named targetProperty. When using the programmatic API, metadata is prefixed with tcomp::. This prefix is stripped in the web for convenience, and the previous table uses the web keys. For more details, refer to the related Javadocs. A common use of the ActiveIf condition consists in testing if a target property has a value. To do that, it is possible to test if the length of the property value is different from 0: target: foo - the path to the property to evaluate. strategy: LENGTH - the strategy consists here in testing the length of the property value. value: 0 - the length of the property value is compared to 0. negate: true - setting negate to true means that the strategy of the target must be different from the value defined. In this case, the LENGTH of the value of the foo property must be different from 0. The following example shows how to implement visibility conditions on several fields based on several checkbox configurations: If the first checkbox is selected, an additional input field is displayed. if the second or the third checkbox is selected, an additional input field is displayed. if both second and third checkboxes are selected, an additional input field is displayed. In some cases, you may need to add metadata about the configuration to let the UI render that configuration properly. For example, a password value that must be hidden and not a simple clear input box. For these cases - if you want to change the UI rendering - you can use a particular set of annotations: Provide a default value the UI can use - only for primitive fields. API: @org.talend.sdk.component.api.configuration.ui.DefaultValue Allows to sort a class properties. API: @org.talend.sdk.component.api.configuration.ui.OptionsOrder Request the rendered to do what it thinks is best. API: @org.talend.sdk.component.api.configuration.ui.layout.AutoLayout Advanced layout to place properties by row, this is exclusive with @OptionsOrder. the logic to handle forms (gridlayout names) is to use the only layout if there is only one defined, else to check if there are Main and Advanced and if at least Main exists, use them, else use all available layouts. API: @org.talend.sdk.component.api.configuration.ui.layout.GridLayout Allow to configure multiple grid layouts on the same class, qualified with a classifier (name) API: @org.talend.sdk.component.api.configuration.ui.layout.GridLayouts Put on a configuration class it notifies the UI an horizontal layout is preferred. API: @org.talend.sdk.component.api.configuration.ui.layout.HorizontalLayout Put on a configuration class it notifies the UI a vertical layout is preferred. API: @org.talend.sdk.component.api.configuration.ui.layout.VerticalLayout Mark a field as being represented by some code widget (vs textarea for instance). API: @org.talend.sdk.component.api.configuration.ui.widget.Code Mark a field as being a credential. It is typically used to hide the value in the UI. API: @org.talend.sdk.component.api.configuration.ui.widget.Credential Mark a field as being a date. It supports and is implicit - which means you don’t need to put that annotation on the option - for java.time.ZonedDateTime, java.time.LocalDate and java.time.LocalDateTime and is unspecified for other types. API: @org.talend.sdk.component.api.configuration.ui.widget.DateTime Mark a string field as being represented by selected module list widget, only for studio API: @org.talend.sdk.component.api.configuration.ui.widget.ModuleList Mark a List or List

Since the 1.1.25 release, the dynamic column feature is supported in Studio with component-runtime components. Dynamic column is available with Enterprise versions of Talend Studio only. In Studio, we can define for each component a schema with associated metadata. To access those informations in your component, you’ve to do a few things: Using the @Structure annotation API: @org.talend.sdk.component.api.configuration.ui.widget.Structure According the specified field type, you will acess to the column names list with List a subset or all wanted metadata with List (see below) Then, we should have a class SchemaInfo as following: Defining a specific class for holding metadata If you don’t want just only column names (using List), you’ll have to define a custom class. Available Studio metadata informations Field name Type Name in Studio label String Column originalDbColumnName String Db Column key Boolean Key type String DB Type talendType String Type nullable Boolean Nullable pattern String Date Pattern length int Length precision int Precision defaultValue String Default comment String Comment Available since 1.43.x release As Talend Component Kit Schema's types aren’t matching all Studio types, we wrap those types in wider types (like Character or char wrapped into String, Short to Integer, and so on…). Anyway, the original type coming from Studio’s IPersistableRow is stored in record’s schema properties under the property name talend.studio.type. Studio managed types are: id_BigDecimal, id_Boolean, id_Byte, id_byte[], id_Character, id_Date, id_Double, id_Document, id_Dynamic, id_Float, id_Integer, id_List, id_Long, id_Object, id_Short, id_String. When handling an output connector designed for Studio, you should have to check for this property to get an accurate type for output. For instance, java.math.BigDecimal is handled in framework as a Type.STRING, so when an output connector will receive a record, in studio context, you’ll need to check for the property and cast it correctly. Here is a simple processor before writing to backend destination: This usage of properties is cumbersome but may fix some potential issues for now. We plan to widen managed types in Record and Schema in a few iterations (No ETA defined yet). There are two annotations allowing to discover a component’s schema: @DiscoverSchema (only for input components) @DiscoverSchemaExtended (all components) Prototype: As you may pass other parameters to method, ensure to use the above naming : incomingSchema for the schema and branch for the outgoing branch. Example: Try to find an action in declared Service class search an action of type @DiscoverSchema named like the input dataset. search an action of type @DiscoverSchemaExtended named like the input dataset. search an action of type @DiscoverSchema. Execute a fake job with component to retrieve output schema. Try to find an action in declared Service class search an action of type @DiscoverSchemaExtended named like the input dataset. search an action of type @DiscoverSchemaExtended.

The Component Kit Starter lets you design your components configuration and generates a ready-to-implement project structure. The Starter is available on the web or as an IntelliJ plugin. This tutorial shows you how to use the Component Kit Starter to generate new components for MySQL databases. Before starting, make sure that you have correctly setup your environment. See this section. When defining a project using the Starter, do not refresh the page to avoid losing your configuration. Before being able to create components, you need to define the general settings of the project: Create a folder on your local machine to store the resource files of the component you want to create. For example, C:/my_components. Open the Starter in the web browser of your choice. Select your build tool. This tutorial uses Maven, but you can select Gradle instead. Add any facet you need. For example, add the Talend Component Kit testing facet to your project to automatically generate unit tests for the components created in the project. Enter the Component Family of the components you want to develop in the project. This name must be a valid java name and is recommended to be capitalized, for example 'MySQL'. Once you have implemented your components in the Studio, this name is displayed in the Palette to group all of the MySQL-related components you develop, and is also part of your component name. Select the Category of the components you want to create in the current project. As MySQL is a kind of database, select Databases in this tutorial. This Databases category is used and displayed as the parent family of the MySQL group in the Palette of the Studio. Complete the project metadata by entering the Group, Artifact and Package. By default, you can only create processors. If you need to create Input or Output components, select Activate IO. By doing this: Two new menu entries let you add datasets and datastores to your project, as they are required for input and output components. Input and Output components without dataset (itself containing a datastore) will not pass the validation step when building the components. Learn more about datasets and datastores in this document. An Input component and an Output component are automatically added to your project and ready to be configured. Components added to the project using Add A Component can now be processors, input or output components. A datastore represents the data needed by an input or output component to connect to a database. When building a component, the validateDataSet validation checks that each input or output (processor without output branch) component uses a dataset and that this dataset has a datastore. You can define one or several datastores if you have selected the Activate IO step. Select Datastore. The list of datastores opens. By default, a datastore is already open but not configured. You can configure it or create a new one using Add new Datastore. Specify the name of the datastore. Modify the default value to a meaningful name for your project. This name must be a valid Java name as it will represent the datastore class in your project. It is a good practice to start it with an uppercase letter. Edit the datastore configuration. Parameter names must be valid Java names. Use lower case as much as possible. A typical configuration includes connection details to a database: url username password. Save the datastore configuration. A dataset represents the data coming from or sent to a database and needed by input and output components to operate. The validateDataSet validation checks that each input or output (processor without output branch) component uses a dataset and that this dataset has a datastore. You can define one or several datasets if you have selected the Activate IO step. Select Dataset. The list of datasets opens. By default, a dataset is already open but not configured. You can configure it or create a new one using the Add new Dataset button. Specify the name of the dataset. Modify the default value to a meaningful name for your project. This name must be a valid Java name as it will represent the dataset class in your project. It is a good practice to start it with an uppercase letter. Edit the dataset configuration. Parameter names must be valid Java names. Use lower case as much as possible. A typical configuration includes details of the data to retrieve: Datastore to use (that contains the connection details to the database) table name data Save the dataset configuration. To create an input component, make sure you have selected Activate IO. When clicking Add A Component in the Starter, a new step allows you to define a new component in your project. The intent in this tutorial is to create an input component that connects to a MySQL database, executes a SQL query and gets the result. Choose the component type. Input in this case. Enter the component name. For example, MySQLInput. Click Configuration model. This button lets you specify the required configuration for the component. By default, a dataset is already specified. For each parameter that you need to add, click the (+) button on the right panel. Enter the parameter name and choose its type then click the tick button to save the changes. In this tutorial, to be able to execute a SQL query on the Input MySQL database, the configuration requires the following parameters:+ a dataset (which contains the datastore with the connection information) a timeout parameter. Closing the configuration panel on the right does not delete your configuration. However, refreshing the page resets the configuration. Specify whether the component issues a stream or not. In this tutorial, the MySQL input component created is an ordinary (non streaming) component. In this case, leave the Stream option disabled. Select the Record Type generated by the component. In this tutorial, select Generic because the component is designed to generate records in the default Record format. You can also select Custom to define a POJO that represents your records. Your input component is now defined. You can add another component or generate and download your project. When clicking Add A Component in the Starter, a new step allows you to define a new component in your project. The intent in this tutorial is to create a simple processor component that receives a record, logs it and returns it at it is. If you did not select Activate IO, all new components you add to the project are processors by default. If you selected Activate IO, you can choose the component type. In this case, to create a Processor component, you have to manually add at least one output. If required, choose the component type: Processor in this case. Enter the component name. For example, RecordLogger, as the processor created in this tutorial logs the records. Specify the Configuration Model of the component. In this tutorial, the component doesn’t need any specific configuration. Skip this step. Define the Input(s) of the component. For each input that you need to define, click Add Input. In this tutorial, only one input is needed to receive the record to log. Click the input name to access its configuration. You can change the name of the input and define its structure using a POJO. If you added several inputs, repeat this step for each one of them. The input in this tutorial is a generic record. Enable the Generic option and click Save. Define the Output(s) of the component. For each output that you need to define, click Add Output. The first output must be named MAIN. In this tutorial, only one generic output is needed to return the received record. Outputs can be configured the same way as inputs (see previous steps). You can define a reject output connection by naming it REJECT. This naming is used by Talend applications to automatically set the connection type to Reject. Your processor component is now defined. You can add another component or generate and download your project. To create an output component, make sure you have selected Activate IO. When clicking Add A Component in the Starter, a new step allows you to define a new component in your project. The intent in this tutorial is to create an output component that receives a record and inserts it into a MySQL database table. Output components are Processors without any output. In other words, the output is a processor that does not produce any records. Choose the component type. Output in this case. Enter the component name. For example, MySQLOutput. Click Configuration Model. This button lets you specify the required configuration for the component. By default, a dataset is already specified. For each parameter that you need to add, click the (+) button on the right panel. Enter the name and choose the type of the parameter, then click the tick button to save the changes. In this tutorial, to be able to insert a record in the output MySQL database, the configuration requires the following parameters:+ a dataset (which contains the datastore with the connection information) a timeout parameter. Closing the configuration panel on the right does not delete your configuration. However, refreshing the page resets the configuration. Define the Input(s) of the component. For each input that you need to define, click Add Input. In this tutorial, only one input is needed. Click the input name to access its configuration. You can change the name of the input and define its structure using a POJO. If you added several inputs, repeat this step for each one of them. The input in this tutorial is a generic record. Enable the Generic option and click Save. Do not create any output because the component does not produce any record. This is the only difference between an output an a processor component. Your output component is now defined. You can add another component or generate and download your project. Once your project is configured and all the components you need are created, you can generate and download the final project. In this tutorial, the project was configured and three components of different types (input, processor and output) have been defined. Click Finish on the left panel. You are redirected to a page that summarizes the project. On the left panel, you can also see all the components that you added to the project. Generate the project using one of the two options available: Download it locally as a ZIP file using the Download as ZIP button. Create a GitHub repository and push the project to it using the Create on Github button. In this tutorial, the project is downloaded to the local machine as a ZIP file. Once the package is available on your machine, you can compile it using the build tool selected when configuring the project. In the tutorial, Maven is the build tool selected for the project. In the project directory, execute the mvn package command. If you don’t have Maven installed on your machine, you can use the Maven wrapper provided in the generated project, by executing the ./mvnw package command. If you have created a Gradle project, you can compile it using the gradle build command or using the Gradle wrapper: ./gradlew build. The generated project code contains documentation that can guide and help you implementing the component logic. Import the project to your favorite IDE to start the implementation. The Component Kit Starter allows you to generate a component development project from an OpenAPI JSON descriptor. Open the Starter in the web browser of your choice. Enable the OpenAPI mode using the toggle in the header. Go to the API menu. Paste the OpenAPI JSON descriptor in the right part of the screen. All the described endpoints are detected. Unselect the endpoints that you do not want to use in the future components. By default, all detected endpoints are selected. Go to the Finish menu. Download the project. When exploring the project generated from an OpenAPI descriptor, you can notice the following elements: sources the API dataset an HTTP client for the API a connection folder containing the component configuration. By default, the configuration is only made of a simple datastore with a baseUrl parameter.

Talend Component Kit is a toolkit based on Java and designed to simplify the development of components at two levels: Runtime: Runtime is about injecting the specific component code into a job or pipeline. The framework helps unify as much as possible the code required to run in Data Integration (DI) and BEAM environments. Graphical interface: The framework helps unify the code required to be able to render the component in a browser (web) or in the Eclipse-based Studio (SWT). The Talend Component Kit framework is made of several tools designed to help you during the component development process. It allows to develop components that fit in both Java web UIs. Starter: Generate the skeleton of your development project using a user-friendly interface. The Talend Component Kit Starter is available as a web tool or as a plugin for the IntelliJ IDE. Component API: Check all classes available to implement components. Build tools: The framework comes with Maven and Gradle wrappers, which allow to always use the version of Maven or Gradle that is right for your component development environment and version. testing tools: Test components before integrating them into Talend Studio or Cloud applications. testing tools include the Talend Component Kit Web Tester, which allows to check the web UI of your components on your local machine. You can find more details about the framework design in this document. The Talend Component Kit project is available on GitHub in the following repository

Processors and output components are the components in charge of reading, processing and transforming data in a Talend job, as well as passing it to its required destination. Before implementing the component logic and defining its layout and configurable fields, make sure you have specified its basic metadata, as detailed in this document. A Processor is a component that converts incoming data to a different model. A processor must have a method decorated with @ElementListener taking an incoming data and returning the processed data: Processors must be Serializable because they are distributed components. If you just need to access data on a map-based ruleset, you can use Record or JsonObject as parameter type. From there, Talend Component Kit wraps the data to allow you to access it as a map. The parameter type is not enforced. This means that if you know you will get a SuperCustomDto, then you can use it as parameter type. But for generic components that are reusable in any chain, it is highly encouraged to use Record until you have an evaluation language-based processor that has its own way to access components. For example: A processor also supports @BeforeGroup and @AfterGroup methods, which must not have any parameter and return void values. Any other result would be ignored. These methods are used by the runtime to mark a chunk of the data in a way which is estimated good for the execution flow size. Because the size is estimated, the size of a group can vary. It is even possible to have groups of size 1. It is recommended to batch records, for performance reasons: You can optimize the data batch processing by using the maxBatchSize parameter. This parameter is automatically implemented on the component when it is deployed to a Talend application. Only the logic needs to be implemented. You can however customize its value setting in your LocalConfiguration the property _maxBatchSize.value - for the family - or ${component simple class name}._maxBatchSize.value - for a particular component, otherwise its default will be 1000. If you replace value by active, you can also configure if this feature is enabled or not. This is useful when you don’t want to use it at all. Learn how to implement chunking/bulking in this document. In some cases, you may need to split the output of a processor in two or more connections. A common example is to have "main" and "reject" output connections where part of the incoming data are passed to a specific bucket and processed later. Talend Component Kit supports two types of output connections: Flow and Reject. Flow is the main and standard output connection. The Reject connection handles records rejected during the processing. A component can only have one reject connection, if any. Its name must be REJECT to be processed correctly in Talend applications. You can also define the different output connections of your component in the Starter. To define an output connection, you can use @Output as replacement of the returned value in the @ElementListener: Alternatively, you can pass a string that represents the new branch: Having multiple inputs is similar to having multiple outputs, except that an OutputEmitter wrapper is not needed: @Input takes the input name as parameter. If no name is set, it defaults to the "main (default)" input branch. It is recommended to use the default branch when possible and to avoid naming branches according to the component semantic. Batch processing refers to the way execution environments process batches of data handled by a component using a grouping mechanism. By default, the execution environment of a component automatically decides how to process groups of records and estimates an optimal group size depending on the system capacity. With this default behavior, the size of each group could sometimes be optimized for the system to handle the load more effectively or to match business requirements. For example, real-time or near real-time processing needs often imply processing smaller batches of data, but more often. On the other hand, a one-time processing without business contraints is more effectively handled with a batch size based on the system capacity. Final users of a component developed with the Talend Component Kit that integrates the batch processing logic described in this document can override this automatic size. To do that, a maxBatchSize option is available in the component settings and allows to set the maximum size of each group of data to process. A component processes batch data as follows: Case 1 - No maxBatchSize is specified in the component configuration. The execution environment estimates a group size of 4. Records are processed by groups of 4. Case 2 - The runtime estimates a group size of 4 but a maxBatchSize of 3 is specified in the component configuration. The system adapts the group size to 3. Records are processed by groups of 3. Batch processing relies on the sequence of three methods: @BeforeGroup, @ElementListener, @AfterGroup, that you can customize to your needs as a component Developer. The group size automatic estimation logic is automatically implemented when a component is deployed to a Talend application. Each group is processed as follows until there is no record left: The @BeforeGroup method resets a record buffer at the beginning of each group. The records of the group are assessed one by one and placed in the buffer as follows: The @ElementListener method tests if the buffer size is greater or equal to the defined maxBatchSize. If it is, the records are processed. If not, then the current record is buffered. The previous step happens for all records of the group. Then the @AfterGroup method tests if the buffer is empty. You can define the following logic in the processor configuration: You can also use the condensed syntax for this kind of processor: When writing tests for components, you can force the maxBatchSize parameter value by setting it with the following syntax: .$maxBatchSize=10. You can learn more about processors in this document. Defining a processor/output logic General component execution logic Implementing bulk processing Best practices For the case of output components (not emitting any data) using bulking you can pass the list of records to the after group method: An Output is a Processor that does not return any data. Conceptually, an output is a data listener. It matches the concept of processor. Being the last component of the execution chain or returning no data makes your processor an output component: Currently, Talend Component Kit does not allow you to define a Combiner. A combiner is the symmetric part of a partition mapper. It allows to aggregate results in a single partition.

The HTTP API intends to expose most Talend Component Kit features over HTTP. It is a standalone Java HTTP server. The WebSocket protocol is activated for the endpoints. Endpoints then use /websocket/v1 as base instead of /api/v1. See WebSocket for more details. Browse the API description using interface. To make sure that the migration can be enabled, you need to set the version the component was created with in the execution configuration that you send to the server (component version is in component the detail endpoint). To do that, use tcomp::component::version key. Endpoints that are intended to disappear will be deprecated. A X-Talend-Warning header will be returned with a message as value. You can connect yo any endpoint by: Replacing /api with /websocket Appending / to the URL Formatting the request as: For example: The response is formatted as follows: All endpoints are logged at startup. You can then find them in the logs if you have a doubt about which one to use. If you don’t want to create a pool of connections per endpoint/verb, you can use the bus endpoint: /websocket/v1/bus. This endpoint requires that you add the destinationMethod header to each request with the verb value (GET by default): the configuration is read from system properties, environment variables, …. Default value: 1000. Maximum items a cache can store, used for index endpoints. A comma separated list of gav to locate the components Default value: ${home}/documentations. A component translation repository. This is where you put your documentation translations. Their name must follow the pattern documentation_${container-id}_language.adoc where ${container-id} is the component jar name (without the extension and version, generally the artifactId). Default value: true. Should the component extensions add required dependencies. If you deploy some extension, where they can create their dependencies if needed. Default value: 180000. Timeout for extension initialization at startup, since it ensures the startup wait extensions are ready and loaded it allows to control the latency it implies. A property file (or multiple comma separated) where the value is a gav of a component to register(complementary with coordinates). Note that the path can end up with or .properties to take into account all properties in a folder. Default value: true. Should the /documentation endpoint be activated. Note that when called on localhost the doc is always available. Default value: true. Should the /api/v1/environment endpoint be activated. It shows some internal versions and git commit which are not always desirable over the wire. Default value: false. Should the components using a @GridLayout support tab translation. Studio does not suppot that feature yet so this is not enabled by default. Default value: icons/%s.svg,icons/svg/%s.svg,icons/%s_icon32.png,icons/png/%s_icon32.png. These patterns are used to find the icons in the classpath(s). Default value: false. If set it will replace any message for exceptions. Set to false to use the actual exception message. Default value: false. Should the lastUpdated timestamp value of /environment endpoint be updated with server start time. Default value: en*=en fr*=fr zh*=zh_CN ja*=ja de*=de. For caching reasons the goal is to reduce the locales to the minimum required numbers. For instance we avoid fr and fr_FR which would lead to the same entries but x2 in terms of memory. This mapping enables that by whitelisting allowed locales, default being en. If the key ends with it means all string starting with the prefix will match. For instance fr will match fr_FR but also fr_CA. The local maven repository used to locate components and their dependencies Default value: false. Should the plugins be un-deployed and re-deployed. Default value: 600. Interval in seconds between each check if plugins re-loading is enabled. Specify a file to check its timestamp on the filesystem. This file will take precedence of the default ones provided by the talend.component.server.component.registry property (used for timestamp method). Default value: timestamp. Re-deploy method on a timestamp or connectors version change. By default, the timestamp is checked on the file pointed by talend.component.server.component.registry or talend.component.server.plugins.reloading.marker variable, otherwise we inspect the content of the CONNECTORS_VERSION file. Accepted values: timestamp, anything else defaults to connectors. Default value: false. Should the all requests/responses be logged (debug purposes - only work when running with CXF). Default value: securityNoopHandler. How to validate a command/request. Accepted values: securityNoopHandler. Default value: securityNoopHandler. How to validate a connection. Accepted values: securityNoopHandler. A folder available for the server - don’t forget to mount it in docker if you are using the image - which accepts subfolders named as component plugin id (generally the artifactId or jar name without the version, ex: jdbc). Each family folder can contain: a user-configuration.properties file which will be merged with component configuration system (see services). This properties file enables the function userJar(xxxx) to replace the jar named xxxx by its virtual gav (groupId:artifactId:version), a list of jars which will be merged with component family classpath Default value: auto. Should the implicit artifacts be provisionned to a m2. If set to auto it tries to detect if there is a m2 to provision - recommended, if set to skip it is ignored, else it uses the value as a m2 path. The configuration uses Microprofile Config for most entries. It means it can be passed through system properties and environment variables (by replacing dots with underscores and making the keys uppercase). To configure a Docker image rather than a standalone instance, Docker Config and secrets integration allows you to read the configuration from files. You can customize the configuration of these integrations through system properties. Docker integration provides a secure: support to encrypt values and system properties, when required. It is fully implemented using the Apache Geronimo Microprofile Config extensions. Using the server ZIP (or Docker image), you can configure HTTPS by adding properties to _JAVA_OPTIONS. Assuming that you have a certificate in /opt/certificates/component.p12 (don’t forget to add/mount it in the Docker image if you use it), you can activate it as follows: You can define simple queries on the configuration types and components endpoints. These two endpoints support different parameters. Queries on the configurationtype/index endpoint supports the following parameters: type id name metadata of the first configuration property as parameters. Queries on the component/index endpoint supports the following parameters: plugin name id familyId metadata of the first configuration property as parameters. In both cases, you can combine several conditions using OR and AND operators. If you combine more than two conditions, note that they are evaluated in the order they are written. Each supported parameter in a condition can be "equal to" (=) or "not equal to" (!=) a defined value (case-sensitive). For example: In this example, the query gets components that have a dataset and belong to the jdbc-component plugin, or components that are named input. The component-form library provides a way to build a component REST API facade that is compatible with React form library. for example: the Client can be created using ClientFactory.createDefault(System.getProperty("app.components.base", "http://localhost:8080/api/v1")) and the service can be a simple new UiSpecService<>(). The factory uses JAX-RS if the API is available (assuming a JSON-B provider is registered). Otherwise, it tries to use Spring. The conversion from the component model (REST API) to the uiSpec model is done through UiSpecService. It is based on the object model which is mapped to a UI model. Having a flat model in the component REST API allows to customize layers easily. You can completely control the available components, tune the rendering by switching the uiSchema, and add or remove parts of the form. You can also add custom actions and buttons for specific needs of the application. The /migrate endpoint was not shown in the previous snippet but if you need it, add it as well. This Maven dependency provides the UISpec model classes. You can use the Ui API (with or without the builders) to create UiSpec representations. For Example: The model uses the JSON-B API to define the binding. Make sure to have an implementation in your classpath. To do that, add the following dependencies: The following module enables you to define through annotations a uispec on your own models: this can’t be used in components and is only intended for web applications. org.talend.sdk.component.form.uispec.mapper.api.service.UiSpecMapper enables to create a Ui instance from a custom type annotated with org.talend.sdk.component.form.uispec.mapper.api.model.View and org.talend.sdk.component.form.uispec.mapper.api.model.View.Schema. UiSpecMapper returns a Supplier and not directly an Ui because the ui-schema is re-evaluated when `get()̀ is called. This enables to update the title maps for example. Here is an example: This API maps directly the UiSpec model (json schema and ui schema of Talend UIForm). The default implementation of the mapper is available at org.talend.sdk.component.form.uispec.mapper.impl.UiSpecMapperImpl. Here is an example: The getTitleMapProviders() method will generally lookup a set of TitleMapProvider instances in your IoC context. This API is used to fill the titleMap of the form when a reference identifier is set on the @Schema annotation. component-kit.js is no more available (previous versions stay on NPM) and is replaced by @talend/react-containers. The previous import can be replaced by import kit from '@talend/react-containers/lib/ComponentForm/kit';. Default JavaScript integration goes through the Talend UI Forms library and its Containers wrapper. Documentation is now available on the previous link. The logging uses Log4j2. You can specify a custom configuration by using the -Dlog4j.configurationFile system property or by adding a log4j2.xml file to the classpath. Here are some common configurations: Console logging: Output messages look like: JSON logging: Output messages look like: Rolling file appender: More details are available in the RollingFileAppender documentation. You can compose previous layout (message format) and appenders (where logs are written). The server image is deployed on Docker. Its version is suffixed with a timestamp to ensure images are not overridden and can break your usage. You can check the available version on Docker hub. You can run the docker image by executing this command : You can set the env variable _JAVA_OPTIONS to customize the server, by default it is installed in /opt/talend/component-kit. The maven repository is the default one of the machine, you can change it setting the system property talend.component.server.maven.repository=/path/to/your/m2. If you want to deploy some components you can configure which ones in _JAVA_OPTIONS (see server doc online) and redirect your local m2: The component server docker image comes with two log4j2 profiles: TEXT (default) and JSON. The logging profile can be changed by setting the environment variable LOGGING_LAYOUT to JSON. Note that Component Server adds to these default Talend profiles the KAFKA profile. With this profile, all logs are sent to Kafka. You can check the exact configuration in the component-runtime/images/component-server-image/src/main/resources folder. The console logging is on at INFO level by default. You can customize it by setting the CONSOLE_LOG_LEVEL environment variable to DEBUG, INFO, WARN or to any other log level supported by log4j2. Run docker image with console logging: The JSON profile does the following: Logs on the console using the CONSOLE_LOG_LEVEL configuration as the default profile. It uses the formatting shown below. If the TRACING_KAFKA_URL environment variable is set, it logs the opentracing data on the defined Kafka using the topic TRACING_KAFKA_TOPIC. This level can be customized by setting the KAFKA_LOG_LEVEL environment variable (INFO by default). Events are logged in the following format: This profile is very close to the JSON profile and also adds the LOG_KAFKA_TOPIC and LOG_KAFKA_URL configuration. The difference is that it logs the default logs on Kafka in addition to the tracing logs. The component server uses Geronimo OpenTracing to monitor request. The tracing can be activated by setting the TRACING_ON environment variable to true. The tracing rate is configurable by setting the TRACING_SAMPLING_RATE environment variable. It accepts 0 (none) and 1 (all, default) as values to ensure the consistency of the reporting. You can find all the details on the configuration in org.talend.sdk.component.server.configuration.OpenTracingConfigSource. Run docker image with tracing on: By default, Geronimo OpenTracing will log the spans in a Zipking format so you can use the Kafka profile as explained before to wire it over any OpenTracing backend. You can register component server images in Docker using these instructions in the corresponding image directory: Docker Compose allows you to deploy the server with components, by mounting the component volume into the server image. docker-compose.yml example: If you want to mount it from another image, you can use this compose configuration: To run one of the previous compose examples, you can use docker-compose -f docker-compose.yml up. Only use the configuration related to port 5005 (in ports and the -agentlib option in _JAVA_OPTIONS) to debug the server on port 5005. Don’t set it in production. You can mount a volume in /opt/talend/component-kit/custom/ and the jars in that folder which will be deployed with the server. Since the server relies on CDI (Apache OpenWebBeans) you can use that technology to enrich it, including JAX-RS endpoints, interceptors etc…or just libraries needing to be in the JVM.