Search results for beam
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
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-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-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-1752: Make component-runtime class loader find classes in RemoteEngine JobServer
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
This part is limited to specific kinds of beam PTransform:
PTransform
The Job builder lets you create a job pipeline programmatically using Talend components (Producers and Processors). The job pipeline is an acyclic graph, allowing you to build complex pipelines.
Let’s take a simple use case where two data sources (employee and salary) are formatted to CSV and the result is written to a file.
A job is defined based on components (nodes) and links (edges) to connect their branches together.
Every component is defined by a unique id and an URI that identify the component.
The URI follows the form [family]://[component][?version][&configuration], where:
family is the name of the component family.
component is the name of the component.
version is the version of the component. It is represented in a key=value format. The key is __version and the value is a number.
configuration is component configuration. It is represented in a key=value format. The key is the path of the configuration and the value is a `string' corresponding to the configuration value.
URI example:
configuration parameters must be URI/URL encoded.
Job example:
It has some starting components (components that don’t have a from connection and that need to be of the producer type).
There are no cyclic connections. The job pipeline needs to be an acyclic graph.
All components used in the connections are already declared.
Each connection is used only once. You cannot connect a component input/output branch twice.
In this version, the execution of the job is linear. Components are not executed in parallel even if some steps may be independents.
Depending on the configuration, you can select the environment which you execute your job in.
To select the environment, the logic is the following one:
If an org.talend.sdk.component.runtime.manager.chain.Job.ExecutorBuilder class is passed through the job properties, then use it. The supported types are an ExecutionBuilder instance, a Class or a String.
If an ExecutionBuilder SPI is present, use it. It is the case if component-runtime-beam is present in your classpath.
Else, use a local/standalone execution.
In the case of a beam execution, you can customize the pipeline options using system properties. They have to be prefixed with talend.beam.job.. For example, to set the appName option, you need to use -Dtalend.beam.job.appName=mytest.
The job builder lets you set a key provider to join your data when a component has multiple inputs. The key provider can be set contextually to a component or globally to the job.
If the incoming data has different IDs, you can provide a complex global key provider that relies on the context given by the component id and the branch name.
For beam case, you need to rely on beam pipeline definition and use the component-runtime-beam dependency, which provides beam bridges.
org.talend.sdk.component.runtime.beam.TalendIO provides a way to convert a partition mapper or a processor to an input or processor using the read or write methods.
org.talend.sdk.component.runtime.beam.TalendFn provides the way to wrap a processor in a beam PTransform and to integrate it into the pipeline.
The multiple inputs and outputs are represented by a Map element in beam case to avoid using multiple inputs and outputs.
You can use ViewsMappingTransform or CoGroupByKeyResultMappingTransform to adapt the input/output format to the record format representing the multiple inputs/output, like Map
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.
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
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
By default, input components are designed to receive a one-time batch of data to process. By enabling the streaming mode, you can instead set your component to process a continuous incoming flow of data. When streaming is enabled on an input component, the component tries to pull data from its producer. When no data is pulled, it waits for a defined period of time before trying to pull data again, and so on. This period of time between tries is defined by a strategy. This document explains how to configure this strategy and the cases where it can fit your needs. Before enabling streaming on your component, make sure that it fits the scope and requirements of your project and that regular batch processing cannot be used instead. Streaming is designed to help you dealing with real-time or near real-time data processing cases, and should be used only for such cases. Enabling streaming will impact the performance when processing batches of data. You can enable streaming right from the design phase of the project by enabling the Stream toggle in the basic configuration of your future component in the Component Kit Starter. Doing so adds a default streaming-ready configuration to your component when generating the project. This default configuration implements a constant pause duration of 500 ms between retries, with no limit of retries. If streaming was not enabled at all during the project generation or if you need to implement a more specific configuration, you can change the default settings according to your needs: Add the infinite=true parameter to your component class. Define the number of retries allowed in the component family LocalConfiguration, using the talend.input.streaming.retry.maxRetries parameter. It is set by default to Integer.MAX_VALUE. Define the pausing strategy between retries in the component family LocalConfiguration, using the talend.input.streaming.retry.strategy parameter. Possible values are: constant (default). It sets a constant pause duration between retries. exponential. It sets an exponential backoff pause duration. See the tables below for more details about each strategy. Parameter Description Default value talend.input.streaming.retry.constant.timeout Pause duration for the constant strategy, in ms. 500 Parameter Description Default value talend.input.streaming.retry.exponential.exponent Exponent of the exponential calculation. 1.5 talend.input.streaming.retry.exponential.randomizationFactor Randomization factor used in the calculation. 0.5 talend.input.streaming.retry.exponential.maxDuration Maximum pausing duration between two retries. 5*60*1000 (5 minutes) talend.input.streaming.retry.exponential.initialBackOff Initial backoff value. 1000 (1 second) The values of these parameters are then used in the following calculations to determine the exact pausing duration between two retries. For more clarity in the formulas below, parameter names have been replaced with variables. First, the current interval duration is calculated: \$A = min(B xx E^I, F)\$ Where: A: currentIntervalMillis B: initialBackOff E: exponent I: current number of retries F: maxDuration Then, from the current interval duration, the next interval duration is calculated: \$D = min(F, A + ((R xx 2-1) xx C xx A))\$ Where: D: nextBackoffMillis F: maxDuration A: currentIntervalMillis R: random C: randomizationFactor
Integrate components you developed using Talend Component Kit to Talend Studio in a few steps. Also learn how to enable the developer and debugging modes to iterate on your component development. The version of Talend Component Kit you need to use to develop new components depends on the version of Talend Studio in which components will be integrated. Refer to this document to learn about compatibility between Talend Component Kit and the different versions of Talend applications. Learn how to build and deploy components to Talend Studio using Maven or Gradle Talend Component Kit plugins. This can be done using the deploy-in-studio goal from your development environment. If you are unfamiliar with component development, you can also follow this example to go through the entire process, from creating a project to using your new component in Talend Studio. The Studio integration relies on the Component Server, that the Studio uses to gather data about components created using Talend Component Kit. You can change the default configuration of component server by modifying the $STUDIO_HOME/configuration/config.ini file. The following parameters are available: Name Description Default component.environment Enables the developer mode when set to dev - component.debounce.timeout Specifies the timeout (in milliseconds) before calling listeners in components Text fields 750 component.kit.skip If set to true, the plugin is not enabled. It is useful if you don’t have any component developed with the framework. false component.java.arguments Component server additional options - component.java.m2 Maven repository that the server uses to resolve components Defaults to the global Studio configuration component.java.coordinates A list of comma-separated GAV (groupId:artifactId:version) of components to register - component.java.registry A properties file with values matching component GAV (groupId:artifactId:version) registered at startup. Only use slashes (even on windows) in the path. - component.java.port Sets the port to use for the server random components.server.beam.active Active, if set to true, beam support (Experimental). It requires beam SDK Java core dependencies to be available. false component.server.jul.forceConsole Adds a console handler to JUL to see logs in the console. This can be helpful in development because the formatting is clearer than the OSGi one in workspace/.metadata/.log. It uses the java.util.logging.SimpleFormatter.format property to define its format. By default, it is %1$tb %1$td, %1$tY %1$tl:%1$tM:%1$tS %1$Tp %2$s%n%4$s: %5$s%6$s%n, but for development purposes [%4$s] %5$s%6$s%n is simpler and more readable. false Here is an example of a common developer configuration/config.ini file: The developer mode is especially useful to iterate on your component development and to avoid closing and restarting Talend Studio every time you make a change to a component. It adds a Talend Component Kit button in the main toolbar: When clicking this button, all components developed with the Talend Component Kit framework are reloaded. The cache is invalidated and the components refreshed. You still need to add and remove the components to see the changes. To enable it, simply set the component.environment parameter to dev in the config.ini configuration file of the component server. Several methods allow you to debug custom components created with Talend Component Kit in Talend Studio. From your development tool, create a new Remote configuration, and copy the Command line arguments for running remote JVM field. For example, -agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005, where: the suspend parameter of the -agentlib argument specifies whether you want to suspend the debugged JVM until the debugger attaches to it. Possible values are n (no, default value) or y (yes). the address parameter of the -agentlib argument is the port used for the remote configuration. Make sure this port is available. Open Talend Studio. Create a new Job that uses the component you want to debug or open an existing one that already uses it. Go to the Run tab of the Job and select Use specific JVM arguments. Click New to add an argument. In the popup window, paste the arguments copied from the IDE. Enter the corresponding debug mode: To debug the runtime, run the Job and access the remote host configured in the IDE. To debug the Guess schema option, click the Guess schema action button of the component and access the remote host configured in the IDE. From your development tool, create a new Remote configuration, and copy the Command line arguments for running remote JVM field. For example, -agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005, where: suspend defines whether you need to access the defined configuration to run the remote JVM. Possible values are n (no, default value) or y (yes). address is the port used for the remote configuration. Make sure this port is available. Access the installation directory of your Talend Sutdio. Open the .ini file corresponding to your Operating System. For example, TOS_DI-win-x86_64.ini. Paste the arguments copied from the IDE in a new line of the file. Go to Talend Studio to use the component, and access the host host configured in the IDE. If you run multiple Studio instances automatically in parallel, you can run into some issues with the random port computation. For example on a CI platform. For that purpose, you can create the $HOME/.talend/locks/org.talend.sdk.component.studio-integration.lock file. Then, when a server starts, it acquires a lock on that file and prevents another server to get a port until it is started. It ensures that you can’t have two concurrent processes getting the same port allocated. However, it is highly unlikely to happen on a desktop. In that case, forcing a different value through component.java.port in your config.ini file is a better solution for local installations.
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
The framework provides built-in services that you can inject by type in components and actions.
Type
Description
org.talend.sdk.component.api.service.cache.LocalCache
Provides a small abstraction to cache data that does not need to be recomputed very often. Commonly used by actions for UI interactions.
org.talend.sdk.component.api.service.dependency.Resolver
Allows to resolve a dependency from its Maven coordinates. It can either try to resolve a local file or (better) creates for you a preinitialized classloader.
javax.json.bind.Jsonb
A JSON-B instance. If your model is static and you don’t want to handle the serialization manually using JSON-P, you can inject that instance.
javax.json.spi.JsonProvider
A JSON-P instance. Prefer other JSON-P instances if you don’t exactly know why you use this one.
javax.json.JsonBuilderFactory
A JSON-P instance. It is recommended to use this one instead of a custom one to optimize memory usage and speed.
javax.json.JsonWriterFactory
A JSON-P instance. It is recommended to use this one instead of a custom one to optimize memory usage and speed.
javax.json.JsonReaderFactory
A JSON-P instance. It is recommended to use this one instead of a custom one to optimize memory usage and speed.
javax.json.stream.JsonParserFactory
A JSON-P instance. It is recommended to use this one instead of a custom one to optimize memory usage and speed.
javax.json.stream.JsonGeneratorFactory
A JSON-P instance. It is recommended to use this one instead of a custom one to optimize memory usage and speed.
org.talend.sdk.component.api.service.dependency.Resolver
Allows to resolve files from Maven coordinates (like dependencies.txt for component). Note that it assumes that the files are available in the component Maven repository.
org.talend.sdk.component.api.service.injector.Injector
Utility to inject services in fields marked with @Service.
org.talend.sdk.component.api.service.factory.ObjectFactory
Allows to instantiate an object from its class name and properties.
org.talend.sdk.component.api.service.record.RecordBuilderFactory
Allows to instantiate a record.
org.talend.sdk.component.api.service.record.RecordPointerFactory
Allows to instantiate a RecordPointer which enables to extract a data from a Record based on jsonpointer specification.
org.talend.sdk.component.api.service.record.RecordService
Some utilities to create records from another one. It is typically what is used when you want to add an entry in a record and passthrough the other ones. It also provides a nice RecordVisitor API for advanced cases.
org.talend.sdk.component.api.service.configuration.LocalConfiguration
Represents the local configuration that can be used during the design.
It is not recommended to use it for the runtime because the local configuration is usually different and the instances are distinct.
You can also use the local cache as an interceptor with @Cached
Every interface that extends HttpClient and that contains methods annotated with @Request
Lets you define an HTTP client in a declarative manner using an annotated interface.
See the Using HttpClient for more details.
All these injected services are serializable, which is important for big data environments. If you create the instances yourself, you cannot benefit from these features, nor from the memory optimization done by the runtime. Prefer reusing the framework instances over custom ones.
The local configuration uses system properties and the environment (replacing dots per underscores) to look up the values. You can also put a TALEND-INF/local-configuration.properties file with default values. This allows to use the local_configuration:
The component API is declarative (through annotations) to ensure it is: Evolutive. It can get new features without breaking old code. As static as possible. Because it is fully declarative, any new API can be added iteratively without requiring any change to existing components. For example, in the case of beam potential evolution: would not be affected by the addition of the new Timer API, which can be used as follows: The intent of the framework is to be able to fit in a Java UI as well as in a web UI. It must be understood as colocalized and remote UI. The goal is to move as much as possible the logic to the UI side for UI-related actions. For example, validating a pattern, a size, and so on, should be done on the client side rather than on the server side. Being static encourages this practice. The other goal of being static in the API definition is to ensure that the model will not be mutated at runtime and that all the auditing and modeling can be done before, at the design phase. Being static also ensures that the development can be validated as much as possible through build tools. This does not replace the requirement to test the components but helps developers to maintain components with automated tools. Refer to this document. The components must be able to execute even if they have conflicting libraries. For that purpose, classloaders must be isolated. A component defines its dependencies based on a Maven format and is always bound to its own classloader. The definition payload is as flat as possible and strongly typed to ensure it can be manipulated by consumers. This way, consumers can add or remove fields with simple mapping rules, without any abstract tree handling. The execution (runtime) configuration is the concatenation of framework metadata (only the version) and a key/value model of the instance of the configuration based on the definition properties paths for the keys. It enables consumers to maintain and work with the keys/values according to their need. The framework not being responsible for any persistence, it is very important to make sure that consumers can handle it from end to end, with the ability to search for values (update a machine, update a port and so on) and keys (for example, a new encryption rule on key certificate). Talend Component Kit is a metamodel provider (to build forms) and a runtime execution platform. It takes a configuration instance and uses it volatilely to execute a component logic. This implies it cannot own the data nor define the contract it has for these two endpoints and must let the consumers handle the data lifecycle (creation, encryption, deletion, and so on). A new mime type called talend/stream is introduced to define a streaming format. It matches a JSON object per line: Icons (@Icon) are based on a fixed set. Custom icons can be used but their display cannot be guaranteed. Components can be used in any environment and require a consistent look that cannot be guaranteed outside of the UI itself. Defining keys only is the best way to communicate this information. Once you know exactly how you will deploy your component in the Studio, then you can use `@Icon(value = CUSTOM, custom = "…") to use a custom icon file.
Once you have generated a project, you can start implementing the logic and layout of your components and iterate on it. Depending on the type of component you want to create, the logic implementation can differ. However, the layout and component metadata are defined the same way for all types of components in your project. The main steps are: Defining family and component metadata Defining an input component logic Defining a processor/output logic Defining a standalone component logic Defining component layout and configuration In some cases, you will require specific implementations to handle more advanced cases, such as: Internationalizing a component Managing component versions Masking sensitive data Implementing batch processing Implementing streaming on a component You can also make certain configurations reusable across your project by defining services. Using your Java IDE along with a build tool supported by the framework, you can then compile your components to test and deploy them to Talend Studio or other Talend applications: Building components with Maven Building components with Gradle Wrapping a beam I/O In any case, follow these best practices to ensure the components you develop are optimized. You can also learn more about component loading and plugins here: Loading a component
Apache addict I'm involved in several project (OpenWebBeans, Johnzon, Geronimo, Meecrowave, ... - http://home.apache.org/committer-index.html#rmannibucau). Blog: https://rmannibucau.metawerx.net Software engineer @Talend. Components team member. Blog: undx.github.io Technical Writer Frontend Architect R&D Frontend Architect. This is my Talend account. You can check out @jsomsanith for my personal account Senior principal software engineer at @Talend, security contributor at @apache. Blog: http://coheigea.blogspot.com/ Committer and PMC member of Apache beam and Apache Avro. Free education and Open Source enthusiast. Distributed Systems practitioner (victim?) Blog: https://ismaelmejia.com/ Templar I'm a serial tooler. Blog: https://www.linkedin.com/in/zoltantakacsdev/ Focused on Big Data technologies. I contribute to open source projects. I'm an Apache beam committer and PMC member and an Apache Software Foundation member Blog: https://echauchot.blogspot.com/ Senior Cloud Software Architect Product Manager, Information Architect Blog: www.talend.com 573PH4N3 D3M15 K3RM480N
A Partition Mapper (PartitionMapper) is a component able to split itself to make the execution more efficient. This concept is borrowed from big data and useful in this context only (beam executions). The idea is to divide the work before executing it in order to reduce the overall execution time. The process is the following: The size of the data you work on is estimated. This part can be heuristic and not very precise. From that size, the execution engine (runner for beam) requests the mapper to split itself in N mappers with a subset of the overall work. The leaf (final) mapper is used as a Producer (actual reader) factory. This kind of component must be Serializable to be distributable. A partition mapper requires three methods marked with specific annotations: @Assessor for the evaluating method @Split for the dividing method @Emitter for the Producer factory The Assessor method returns the estimated size of the data related to the component (depending its configuration). It must return a Number and must not take any parameter. For example: The Split method returns a collection of partition mappers and can take optionally a @PartitionSize long value as parameter, which is the requested size of the dataset per sub partition mapper. For example: The Emitter method must not have any parameter and must return a producer. It uses the partition mapper configuration to instantiate and configure the producer. For example:
Input components are the components generally placed at the beginning of a Talend job. They are in charge of retrieving the data that will later be processed in the job.
An input component is primarily made of three distinct logics:
The execution logic of the component itself, defined through a partition mapper.
The configurable part of the component, defined through the mapper configuration.
The source logic defined through a producer.
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 Partition Mapper (PartitionMapper) is a component able to split itself to make the execution more efficient.
This concept is borrowed from big data and useful in this context only (beam executions). The idea is to divide the work before executing it in order to reduce the overall execution time.
The process is the following:
The size of the data you work on is estimated. This part can be heuristic and not very precise.
From that size, the execution engine (runner for beam) requests the mapper to split itself in N mappers with a subset of the overall work.
The leaf (final) mapper is used as a Producer (actual reader) factory.
This kind of component must be Serializable to be distributable.
A partition mapper requires three methods marked with specific annotations:
@Assessor for the evaluating method
@Split for the dividing method
@Emitter for the Producer factory
The Assessor method returns the estimated size of the data related to the component (depending its configuration). It must return a Number and must not take any parameter.
For example:
The Split method returns a collection of partition mappers and can take optionally a @PartitionSize long value as parameter, which is the requested size of the dataset per sub partition mapper.
For example:
The Emitter method must not have any parameter and must return a producer. It uses the partition mapper configuration to instantiate and configure the producer.
For example:
The Producer defines the source logic of an input component. It handles the interaction with a physical source and produces input data for the processing flow.
A producer must have a @Producer method without any parameter. It is triggered by the @Emitter method of the partition mapper and can return any data. It is defined in the
Components are designed to manipulate data (access, read, create). Talend Component Kit can handle several types of data, described in this document. By design, the framework must run in DI (plain standalone Java program) and in beam pipelines. It is out of scope of the framework to handle the way the runtime serializes - if needed - the data. For that reason, it is critical not to import serialization constraints to the stack. As an example, this is one of the reasons why Record or JsonObject were preferred to Avro IndexedRecord. Any serialization concern should either be hidden in the framework runtime (outside of the component developer scope) or in the runtime integration with the framework (for example, beam integration). Record is the default format. It offers many possibilities and can evolve depending on the Talend platform needs. Its structure is data-driven and exposes a schema that allows to browse it. Projects generated from the Talend Component Kit Starter are by default designed to handle this format of data. Record is a Java interface but never implement it yourself to ensure compatibility with the different Talend products. Follow the guidelines below. You can build records using the newRecordBuilder method of the RecordBuilderFactory (see here). For example: In the example above, the schema is dynamically computed from the data. You can also do it using a pre-built schema, as follows: The example above uses a schema that was pre-built using factory.newSchemaBuilder(Schema.Type.RECORD). When using a pre-built schema, the entries passed to the record builder are validated. It means that if you pass a null value null or an entry type that does not match the provided schema, the record creation fails. It also fails if you try to add an entry which does not exist or if you did not set a not nullable entry. Using a dynamic schema can be useful on the backend but can lead users to more issues when creating a pipeline to process the data. Using a pre-built schema is more reliable for end-users. You can access and read data by relying on the getSchema method, which provides you with the available entries (columns) of a record. The Entry exposes the type of its value, which lets you access the value through the corresponding method. For example, the Schema.Type.STRING type implies using the getString method of the record. For example: The Record format supports the following data types: String Boolean Int Long Float Double DateTime Array Bytes Record A map can always be modelized as a list (array of records with key and value entries). For example: For example, you can use the API to provide the schema. The following method needs to be implemented in a service. Manually constructing the schema without any data: Returning the schema from an already built record: MyDataset is the class that defines the dataset. Learn more about datasets and datastores in this document. Entry names for Record and JsonObject types must comply with the following rules: The name must start with a letter or with _. If not, the invalid characters are ignored until the first valid character. Following characters of the name must be a letter, a number, or . If not, the invalid character is replaced with . For example: 1foo becomes foo. f@o becomes f_o. 1234f5@o becomes ___f5_o. foo123 stays foo123. Each array uses only one schema for all of its elements. If an array contains several elements, they must be of the same data type. For example, the following array is not correct as it contains a string and an object: The runtime also supports JsonObject as input and output component type. You can rely on the JSON services (Jsonb, JsonBuilderFactory) to create new instances. This format is close to the Record format, except that it does not natively support the Datetime type and has a unique Number type to represent Int, Long, Float and Double types. It also does not provide entry metadata like nullable or comment, for example. It also inherits the Record format limitations. The runtime also accepts any POJO as input and output component type. In this case, it uses JSON-B to treat it as a JsonObject.
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
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.
It is possible to extend the Component API for custom front features. What is important here is to keep in mind that you should do it only if it targets not portable components (only used by the Studio or beam). It is recommended to create a custom xxxx-component-api module with the new set of annotations. To extend the UI, add an annotation that can be put on @Option fields, and that is decorated with @Ui. All its members are then put in the metadata of the parameter. For example:
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
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
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.
Component server vault proxy is deprecated since component-runtime-1.34.0 release
Browse the API description using OpenAPI.
A Vault proxy dedicated to the component server allows to safely manage credential encryption when operating in a Cloud environment.
The Vault Proxy only concerns data marked as @Credential in the component configuration.
This Vault proxy:
receives an encrypted payload containing sensitive data from the remote engine, via HTTP.
decrypts the data
caches in memory the decrypted value of the data for performance reasons.
sends unencrypted data to the component server using HTTPS. An SSL certificate can be automatically generated and secures the data.
the configuration is read from system properties, environment variables, ….
Default value: false. Should any certificate be accepted - only for dev purposes.
Default value: 64. Thread pool core size for Component Server client.
Default value: 60000. Thread keep alive (in ms) for Component Server client thread pool.
Default value: 256. Thread pool max size for Component Server client.
Default value: 64. Thread pool core size for Vault client.
Default value: 60000. Thread keep alive (in ms) for Vault client thread pool.
Default value: 256. Thread pool max size for Vault client.
JAX-RS fully qualified name of the provides (message body readers/writers) for vault and component-server clients.
The token to use to call component-server if any.
Where the keystore to use to connect to Component Server is located.
Default value: changeit. The keystore password for talend.vault.cache.client.server.certificate.keystore.location.
The keystore type for talend.vault.cache.client.server.certificate.keystore.location.
The truststore type for talend.vault.cache.client.server.certificate.keystore.location.
Default value: localhost,127.0.0.1,0:0:0:0:0:0:0:1. Valid hostnames for the Component Server certificates (see java.net.ssl.HostnameVerifier).
Default value: 30000. HTTP connection timeout to vault server.
Default value: 30000. HTTP read timeout to vault server.
Where the keystore to use to connect to vault is located.
Default value: changeit. The keystore password for talend.vault.cache.client.vault.certificate.keystore.location.
The keystore type for talend.vault.cache.client.vault.certificate.keystore.location.
The truststore type for talend.vault.cache.client.vault.certificate.keystore.location.
Default value: localhost,127.0.0.1,0:0:0:0:0:0:0:1. Valid hostnames for the Vault certificates (see java.net.ssl.HostnameVerifier).
Default value: 3600. JCache expiry for decrypted values (ms).
Default value: false. Should JCache MBeans be registered.
Default value: false. Should JCache statistics be enabled.
Default value: `. JCache `CacheManager properties used to initialized the instance.
Default value: geronimo://simple-jcache.properties. Configuration for JCache setup, default implementation is Geronimo Simple Cache.
Default value: 100000. JCache max size per cache.
Default value: 30000. How often (in ms) the Component Server should be checked to invalidate the caches on the component parameters (to identify credentials).
Default value: localhost,127.0.0.1,0:0:0:0:0:0:0:1. The IP or hosts allowed to call that server on /api/* if no token is passed.
Default value: none. Enable to sanitize the hostname before testing them. Default to none which is a noop. Supported values are docker (for
The component configuration is defined in the
You can integrate and start using components developed using Talend Component Kit in Talend applications very easily. As both the development framework and Talend applications evolve over time, you need to ensure compatibility between the components you develop and the versions of Talend applications that you are targeting, by making sure that you use the right version of Talend Component Kit. The version of Talend Component Kit you need to use to develop new components depends on the versions of the Talend applications in which these components will be integrated. Talend product Talend Component Kit version Talend Studio 8.8.8 (aka master) latest release Talend Studio 8.0.1 latest release QA approved Talend Studio 7.3.1 Framework until 1.38.x Talend Studio 7.2.1 Framework until 1.1.10 Talend Studio 7.1.1 Framework until 1.1.1 Talend Studio 7.0.1 Framework until 0.0.5 Talend Cloud latest release QA and cloud teams approved More recent versions of Talend Component Kit contain many fixes, improvements and features that help developing your components. However, they can cause some compatibility issues when deploying these components to older/different versions of Talend Studio and Talend Cloud. Choose the version of Talend Component Kit that best fits your needs. Creating a project using the Component Kit Starter always uses the latest release of Talend Component Kit. However, you can manually change the version of Talend Component Kit directly in the generated project. Go to your IDE and access the project root .pom file. Look for the org.talend.sdk.component dependency nodes. Replace the version in the relevant nodes with the version that you need to use for your project. You can use a Snapshot of the version under development using the -SNAPSHOT version and Sonatype snapshot repository.
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 /
This document explains how Asciidoctor is used in the context of Talend Component Kit as well as the specific processes in place.
For general guidelines about Asciidoctor, refer to the Asciidoc Syntax quick reference page.
There are two ways to suggest modifications or new content. Both of the options below require you to have a GitHub account created.
On every page of the Talend Component Kit Developer Guide, a Suggest and edit button is available. It allows you to access the corresponding source file on GitHub and to create a pull request with the suggested edits. The pull request is then assessed by the team in charge of the project.
Fork the Runtime repository of the Talend Component Kit project and edit .adoc files located under documentation\src\main\antora\modules\ROOT\pages. Make sure to follow the guidelines outlined in the current document, especially for large modifications or new content, to make sure it can properly be rendered. When done, create a pull request that will be assessed by the team in charge of the project.
The documentation is made of:
Documentation files manually written under documentation\src\main\antora\modules\ROOT\pages.
Documentation files automatically generated from the source code under documentation\src\main\antora\modules\ROOT\pages\_partials. These files are individually called in manually written files through includes.
Assets, especially images, stored in the documentation\src\main\antora\modules\ROOT\assets folder. Some subfolders exist to categorize the assets.
Each file has a unique name and is rendered as a unique HTML page. Some of the files are prefixed to help identifying the type of content it contains. Most common examples are:
index- for pages referenced from the main index page. These pages also contain specific attributes to be correctly rendered on the main index page (see 'List of metadata attributes' below).
tutorial- for tutorials/guided examples.
generated_ for pages generated from the source code. These pages are generally stored in the _partials folder.
For all pages:
:page-partial indicates that the current .adoc file can be included in another document using an include::. This attribute has no value.
:page-talend_skipindexation: indicates that the current .adoc file must not be indexed. This attribute has no value. Add it to files that should not be returned in the search, like index files that only contain includes.
:description: is the meta description of the file. Each .adoc file is rendered as an HTML file.
:keywords: is the list of meta keywords relevant for the current .adoc file. Separate keywords using simple commas.
:page-talend_stage: draft indicates that the current document is a draft and is not final even if published. It triggers the display of a small banner indicating the status of the page. Remove this attribute once the page is final.
For pages that should appear as a tile on the index page:
:page-documentationindex-index: is the weight of the page. A low weight indicates that the page should be one of the first tiles to appear. A high weight will push the tile towards the end of the list in the index page.
:page-documentationindex-label: is the title of the tile in the index page.
:page-documentationindex-icon: is the icon of the tile in the index page. The value of this attribute should be the name of a free icon on fontawesome.
:page-documentationindex-description: is a short description of the page that will be displayed in the tile under its title.
For pages containing API descriptions:
:page-talend_swaggerui: true indicates that the page contains some API reference that should be displayed using Swagger UI
The Talend Component Kit documentation is published as HTML and PDF. Some parts can differ between these two versions, such as lists of links, that are not functional in the PDF version.
To avoid this, it is possible to define some conditionality to have some content only displaying in one of the output formats only. For example:
Every .adoc file can only contain one 'level 1' title (=). It is the title of the page and is located at the top of the document. It is a best practices that all sublevels added to the document are kept consistent. For example, don’t use a 'level 3' (===) section directly inside a 'level 1'.
When possible, avoid going lower than section 2 (===) to keep the page readable. In the HTML output, the document title is renderedh1, section 1 titles as h2, etc. The "in-page" navigation available on the right side of the HTML rendering only considers h2 and h3 elements. Other levels are ignored to keep the navigation readable and simple.
It is possible to reuse content through "includes". Includes can be used to reuse entire files in other files, allowing to avoid copy pasting.
When using an 'include' (calling an .adoc file from another .adoc file), you can specify a level offset to keep the hierarchy consistent in the current document. Avoid using includes if not absolutely necessary. An include can be done as follows:
In this case, both doc1.adoc and doc2.adoc are rendered in the same page and their content is offset by one level, meaning that the document title of doc1 becomes a section 1 title (h2) instead of an h1 in the final rendering, and so on.
Note that both doc1.adoc and doc2.adoc will in addition be rendered as standalone pages (doc1.html and doc2.html).
All images are stored under documentation > src > main > antora > modules > ROOT > assets > images. Relatively to .adoc files, it can be ../assets/images/ or ../../assets/images for _partials (automatically generated from code) pages. To avoid handling different relative paths, the backend already resolves directly image: to the image folder. Hence, paths to images should start with the following:
image:(
In some cases you can need to add some actions that are not related to the runtime. For example, enabling users of the plugin/library to test if a connection works properly. To do so, you need to define an @Action, which is a method with a name (representing the event name), in a class decorated with @Service: Services are singleton. If you need some thread safety, make sure that they match that requirement. Services should not store any status either because they can be serialized at any time. Status are held by the component. Services can be used in components as well (matched by type). They allow to reuse some shared logic, like a client. Here is a sample with a service used to access files: The service is automatically passed to the constructor. It can be used as a bean. In that case, it is only necessary to call the service method. Some common actions need a clear contract so they are defined as API first-class citizen. For example, this is the case for wizards or health checks. Here is the list of the available actions: Mark an action works for closing runtime connection, returning a close helper object which do real close action. The functionality is for the Studio only, studio will use the close object to close connection for existed connection, and no effect for cloud platform. Type: close_connection API: @org.talend.sdk.component.api.service.connection.CloseConnection Returned type: org.talend.sdk.component.api.service.connection.CloseConnectionObject Sample: Mark an action works for creating runtime connection, returning a runtime connection object like jdbc connection if database family. Its parameter MUST be a datastore. Datastore is configuration type annotated with @DataStore. The functionality is for the Studio only, studio will use the runtime connection object when use existed connection, and no effect for cloud platform. Type: create_connection API: @org.talend.sdk.component.api.service.connection.CreateConnection This class marks an action that explore a connection to retrieve potential datasets. Type: discoverdataset API: @org.talend.sdk.component.api.service.discovery.DiscoverDataset Returned type: org.talend.sdk.component.api.service.discovery.DiscoverDatasetResult Sample: Mark a method as being useful to fill potential values of a string option for a property denoted by its value. You can link a field as being completable using @Proposable(value). The resolution of the completion action is then done through the component family and value of the action. The callback doesn’t take any parameter. Type: dynamic_values API: @org.talend.sdk.component.api.service.completion.DynamicValues Returned type: org.talend.sdk.component.api.service.completion.Values Sample: This class marks an action doing a connection test Type: healthcheck API: @org.talend.sdk.component.api.service.healthcheck.HealthCheck Returned type: org.talend.sdk.component.api.service.healthcheck.HealthCheckStatus Sample: Mark an action as returning a discovered schema. Its parameter MUST be a dataset. Dataset is configuration type annotated with @DataSet. If component has multiple datasets, then dataset used as action parameter should have the same identifier as this @DiscoverSchema. Type: schema API: @org.talend.sdk.component.api.service.schema.DiscoverSchema Returned type: org.talend.sdk.component.api.record.Schema Sample: Mark a method as being useful to fill potential values of a string option. You can link a field as being completable using @Suggestable(value). The resolution of the completion action is then done when the user requests it (generally by clicking on a button or entering the field depending the environment). Type: suggestions API: @org.talend.sdk.component.api.service.completion.Suggestions Returned type: org.talend.sdk.component.api.service.completion.SuggestionValues Sample: This class marks an action returning a new instance replacing part of a form/configuration. Type: update API: @org.talend.sdk.component.api.service.update.Update Extension point for custom UI integrations and custom actions. Type: user API: @org.talend.sdk.component.api.service.Action Mark a method as being used to validate a configuration. this is a server validation so only use it if you can’t use other client side validation to implement it. Type: validation API: @org.talend.sdk.component.api.service.asyncvalidation.AsyncValidation Returned type: org.talend.sdk.component.api.service.asyncvalidation.ValidationResult Sample: These actions are provided - or not - by the application the UI runs within. always ensure you don’t require this action in your component. Mark the decorated field as supporting suggestions, i.e. dynamically get a list of valid values the user can use. It is however different from @Suggestable by looking up the implementation in the current application and not the services. Finally, it is important to note that it can do nothing in some environments too and that there is no guarantee the specified action is supported. API: @org.talend.sdk.component.api.configuration.action.BuiltInSuggestable Internationalization is supported through the injection of the $lang parameter, which allows you to get the correct locale to use with an @Internationalized service: You can combine the $lang option with the @Internationalized and @Language parameters.
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:
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.