Currently, Talend component Kit does not allow you to define a Combiner. A combiner is the symmetric part of a partition mapper. It allows to aggregate results in a single partition.

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

An Output is a Processor that does not return any data. Conceptually, an output is a data listener. It matches the concept of processor. Being the last component of the execution chain or returning no data makes your processor an output component:

A Driver Runner (DriverRunner) is a standalone component which doesn’t process or return any data. A Driver runner must have a @RunAtDriver method without any parameter.

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 <component_name>Source.java file:

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

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

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.

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

From the version 7.0 of Talend Studio, Talend component Kit becomes the recommended framework to use to develop components. This framework is being introduced to ensure that newly developed components can be deployed and executed both in on-premise/local and cloud/big data environments. From that new approach comes the need to provide a complete yet unique and compatible way of developing components. With the component Kit, custom components are entirely implemented in Java. To help you get started with a new custom component development project, a Starter is available. Using it, you will be able to generate the skeleton of your project. By importing this skeleton in a development tool, you can then implement the components layout and execution logic in Java. With the previous Javajet framework, metadata, widgets and configurable parts of a custom component were specified in XML. With the component Kit, they are now defined in the <component_name><component_type>Configuration (for example, LoggerProcessorConfiguration) Java class of your development project. Note that most of this configuration is transparent if you specified the Configuration Model of your components right before generating the project from the Starter. Any undocumented feature or option is considered not supported by the component Kit framework. You can find examples of output in Studio or Cloud environments in the Gallery. Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit or component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit Javajet component Kit or Previously, the execution of a custom component was described through several Javajet files: <component_name>_begin.javajet, containing the code required to initialize the component. <component_name>_main.javajet, containing the code required to process each line of the incoming data. <component_name>_end.javajet, containing the code required to end the processing and go to the following step of the execution. With the component Kit, the entire execution flow of a component is described through its main Java class <component_name><component_type> (for example, LoggerProcessor) and through services for reusable parts. Each type of component has its own execution logic. The same basic logic is applied to all components of the same type, and is then extended to implement each component specificities. The project generated from the starter already contains the basic logic for each component. Talend component Kit framework relies on several primitive components. All components can use @PostConstruct and @PreDestroy annotations to initialize or release some underlying resource at the beginning and the end of a processing. In distributed environments, class constructor are called on cluster manager nodes. Methods annotated with @PostConstruct and @PreDestroy are called on worker nodes. Thus, partition plan computation and pipeline tasks are performed on different nodes. All the methods managed by the framework must be public. Private methods are ignored. The framework is designed to be as declarative as possible but also to stay extensible by not using fixed interfaces or method signatures. This allows to incrementally add new features of the underlying implementations. To ensure that the Cloud-compatible approach of the component Kit framework is respected, some changes were introduced on the implementation side, including: The File mode is no longer supported. You can still work with URIs and remote storage systems to use files. The file collection must be handled at the component implementation level. The input and output connections between two components can only be of the Flow or Reject types. Other types of connections are not supported. Every Output component must have a corresponding Input component and use a dataset. All datasets must use a datastore. To get started with the component Kit framework, you can go through the following documents: Learn the basics about Talend component Kit Create and deploy your first component Kit component Learn about the Starter Start implementing components Integrate a component to Talend Studio Check some examples of components built with Talend component Kit

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.

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

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 7.3.1 Framework until 1.1.15 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 Framework from 1.1.x 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.

TCOMP-2327: Upgrade cxf to 3.4.10 TCOMP-2328: Upgrade woodstox-core to 6.4.0 TCOMP-2294: Upgrade batik to 1.16 TCOMP-2295: Upgrade tomcat to 9.0.68 TCOMP-2045: Pass and read meta information about columns. studio-integration TCOMP-2096: Support BigDecimal type in DI integration schema-record studio studio-integration TCOMP-2070: Upgrade TSBI to 2.9.18-20220104141654 build component-server component-server-vault-proxy tsbi TCOMP-2105: Upgrade Tomcat to 9.0.60 component-server maven-plugin starter TCOMP-2030: Upgrade Tomcat to 9.0.54 due to CVE-2021-42340 TCOMP-2053: Migration failing when using custom java code in configuration TCOMP-2054: Upgrade log4j2 to 2.16.0 due to CVE-2021-44228 TCOMP-2048: RowstructVisitor should respect case in member not java convention TCOMP-2047: RecordBuilder in RowstructVisitor keeps values TCOMP-2046: Rowstruct visitor recreates schema at each incoming row TCOMP-1963: Missing IMetaDataColumn fields in guess schema TCOMP-1987: Avro record : Array of Array of records issue TCOMP-1988: Unable to run component-runtime connectors in Studio with JDK 17 TCOMP-2005: Non defined columns appear in schema TCOMP-2006: Support empty values for Numbers case TCOMP-2010: Error on Documentation build on "less" usage TCOMP-2020: talend-component-kit-intellij-plugin module build fails using Bintray (decomissioned) TCOMP-1900: Create jenkins release process for component-runtime TCOMP-1997: Enable plugins reloading according criteria TCOMP-2000: Upgrade netty to 4.1.68.Final TCOMP-2001: Upgrade Beam to 2.32.0 TCOMP-2007: connectors as a json object in Environment TCOMP-2009: Upgrade dockerfile-maven-plugin to 1.4.13 TCOMP-2016: UiSchema can’t hold advanced titleMap for more advanded datalist widgets TCOMP-2007: connectors as a json object in Environment TCOMP-1957: Avro schema builder issue TCOMP-1994: WebSocketClient$ClientException when executing action in Studio TCOMP-1923: Record : add metadata TCOMP-1990: Update jsoup to 1.14.2 due to CVE-2021-37714 TCOMP-1991: Update groovy to 3.0.9 due to CVE-2021-36373 / CVE-2021-36374 TCOMP-1992: Update lombok to 1.18.20 TCOMP-1993: Update TSBI to 2.9.0-20210907155713 TCOMP-1995: Expose the connectors (global) version in the "Environment" response TCOMP-1996: BaseService must not define equals & hashcode TCOMP-1994: WebSocketClient$ClientException when executing action in Studio TCOMP-1904: Delegate Avro record in AvroRecord seems to be invalid TCOMP-1967: goal uispec generation failure TCOMP-1983: fix module inclusion in dependencies.txt when build is java9+ TCOMP-1981: Allow to filter artifacts in car file generation TCOMP-1982: Allow to include extra artifacts in car file generation TCOMP-1876: Make schemaImpl immutable TCOMP-1885: Service Serializable TCOMP-1906: Redefine equals on RecordImpl TCOMP-1955: Upgrade cxf to 3.4.4 due to CVE-2021-30468 TCOMP-1966: Upgrade Tomcat to 9.0.50 due to CVE-2021-33037 TCOMP-1968: Upgrade maven to 3.8.1 TCOMP-1969: Upgrade Beam to 2.31.0 TCOMP-1970: Upgrade jackson to 2.12.1 TCOMP-1971: Upgrade Junit to 5.8.0-M1 TCOMP-1972: Upgrade slf4j to 1.7.32 TCOMP-1973: Upgrade log4j to 2.14.1 TCOMP-1974: Upgrade commons-compress to 1.21 due to CVE-2021-36090 TCOMP-1975: Upgrade TSBI to 2.8.2-20210722144648 TCOMP-1976: Upgrade meecrowave to 1.2.11 TCOMP-1977: Upgrade OpenWebBeans to 2.0.23 TCOMP-1978: Upgrade tomcat to 9.0.44 TCOMP-1979: Upgrade xbean to 4.20 TCOMP-1980: Upgrade meecrowave to 1.2.12 TCOMP-1967: goal uispec generation failure TCOMP-1935: After Variables doesn’t support custom object types TCOMP-1941: Maven goal talend-component:web fails on startup TCOMP-1947: Implement a retry strategy on failure in vault-client TCOMP-1948: Raised exception in component-server(s) should be serialized in json TCOMP-1952: IllegalArgumentException when the http response return duplicated header. TCOMP-1939: Upgrade TSBI to Talend 2.7.2-20210616074048 TCOMP-1940: Upgrade Beam to 2.30.0 TCOMP-1941: Maven goal talend-component:web fails on startup TCOMP-1939: Upgrade TSBI to Talend 2.7.2-20210616074048 TCOMP-1919: Sanitize must force encoding file TCOMP-1925: Incorrect mapping of the parameters after arrays TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1917: Add DatasetDiscovery annotation TCOMP-1707: Upgrade Geronimo :: Simple JCache to 1.0.5 TCOMP-1850: component-server with vault feature TCOMP-1907: Service monitor implementation & cleaning of grafana dashboard TCOMP-1921: Upgrade TSBI to 2.7.0-20210527090437 TCOMP-1930: Remove jsoup 1.7.x transitive dependency due to CVE-2015-6748 TCOMP-1936: Extend properties in Schema to use JsonValue TCOMP-1938: Add the german locale in the locale mapping TCOMP-1938: Add the german locale in the locale mapping TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1919: Sanitize must force encoding file TCOMP-1886: Errors on Schema.sanitizeConnectionName TCOMP-1905: component-runtime fails to build with Java 11 TCOMP-1893: Upgrade to Beam 2.29.0 and use Beam’s Spark 3 specific module TCOMP-705: Support After variables TCOMP-1898: Add method to Record.Builder TCOMP-1910: Upgrade commons-io to 2.8.0 due to CVE-2021-29425 TCOMP-1911: Upgrade cxf to 3.4.3 due to CVE-2021-22696 TCOMP-1912: Upgrade TSBI to 2.6.7-20210503202416 TCOMP-1938: Add the german locale in the locale mapping TCOMP-1937: Classpath not fully parsed in TSBI images TCOMP-1880: Engine Server returns binary data instead of json (aka does not respect the compressed header) TCOMP-1886: Errors on Schema.sanitizeConnectionName TCOMP-1815: Support of componentException in migration TCOMP-1873: Add method getEntry on TCK Record Schema class TCOMP-1892: Upgrade Spark to 3.0.1 TCOMP-1888: Remove/change validation of componentException TCOMP-1894: Uniformize docker images entrypoints TCOMP-1895: Enhance coercion in RecordConverters TCOMP-1896: Upgrade TSBI to 2.6.4-20210331133410 TCOMP-1806: Double values are rounded to 5 decimal places in studio TCOMP-1851: HttpClient implementation class is a Service with State TCOMP-1864: JsonSchemaConverter and johnzon-jsonschema 1.2.9+ look incompatible TCOMP-1866: Invalid number coercion on primitive type TCOMP-1869: byte[] handling is incorrect in dynamic column TCOMP-1871: Dynamic metadata name is not sanitized TCOMP-1861: Add a 'props' property in the Schema TCOMP-1863: Upgrade batik-codec to 1.14 due to CVE-2020-11988 TCOMP-1865: Upgrade cxf to 3.4.2 TCOMP-1867: Upgrade Apache Beam to 2.28.0 TCOMP-1878: Upgrade TSBI to 2.6.3-20210304090015 TCOMP-1688: Rewrite JsonSchema required rules to reflect component’s validation rules TCOMP-1857: Pojo conversion don’t support nested Objects TCOMP-1841: Add a SPI that would allow to add metadata to components TCOMP-1847: Upgrade Apache Beam to 2.27.0 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1849: Proxify metrics component-server’s endpoint TCOMP-1852: Upgrade netty to v4.1.58.Final and ensure default http testing module is java 11 friendly over ssl TCOMP-1854: Upgrade netty to 4.1.59.Final due to CVE-2021-21290 TCOMP-1855: Upgrade johnzon to 1.2.10 TCOMP-1856: Upgrade tomcat to 9.0.43 TCOMP-1841: Add a SPI that would allow to add metadata to components TCOMP-1852: Upgrade netty to v4.1.58.Final and ensure default http testing module is java 11 friendly over ssl TCOMP-1854: Upgrade netty to 4.1.59.Final due to CVE-2021-21290 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1839: Tomcat websocket server fails to start after tomcat 9.0.40 and meecrowave 1.2.10 TCOMP-1836: Upgrade OpenWebBeans to 2.0.20 TCOMP-1837: Upgrade xbean to 4.18 TCOMP-1838: Upgrade cxf to 3.4.1 TCOMP-1840: Upgrade tomcat to 9.0.41 TCOMP-1842: Upgrade jgit to 5.10.0.202012080955-r TCOMP-1844: Upgrade johnzon to 1.2.9 TCOMP-1845: Upgrade guava to 30.1-jre due to CVE-2020-8908 TCOMP-1848: Upgrade bouncycastle to 1.68 due to CVE 2020-28052 TCOMP-1839: Tomcat websocket server fails to start after tomcat 9.0.40 and meecrowave 1.2.10 TCOMP-1836: Upgrade OpenWebBeans to 2.0.20 TCOMP-1837: Upgrade xbean to 4.18 TCOMP-1827: Upgrade lombok to 1.18.16 TCOMP-1828: Change project’s versioning scheme TCOMP-1829: Upgrade TSBI to 2.5.3-20201201131449 TCOMP-1830: Upgrade Apache Beam to 2.26.0 TCOMP-1832: Upgrade httpclient to 4.5.13 due to CVE-2020-13956 TCOMP-1833: Upgrade spark to 2.4.7 TCOMP-1834: Upgrade groovy to 3.0.7 due to CVE-2020-17521 TCOMP-1787: componentManager can’t be re-created after it’s been closed TCOMP-1788: Invalid properties validation TCOMP-1801: Can’t look for resources in the classpath on Windows TCOMP-1761: Support of complete schema definition TCOMP-1725: Upgrade Tomcat to 9.0.40 TCOMP-1792: Uniform error message on component validation TCOMP-1808: Upgrade log4j2 to 2.14.0 TCOMP-1809: Update CXF to 3.3.8 due to CVE-2020-13954 TCOMP-1812: Upgrade junit to 4.13.1 due to CVE-2020-15250 TCOMP-1813: Upgrade jupiter to 5.7.0 TCOMP-1816: Apache Maven Shared Utils: OS Command Injection in Talend/component-runtime (master) and Talend/cloud-components TCOMP-1817: Upgrade gmavenplus-plugin to 1.11.0 TCOMP-1722: REST - Last / in endpoint is removed TCOMP-1757: Studio - context not set when call a @suggestable service TCOMP-1772: Code widget doesn’t allow multiline text TCOMP-1726: Update logos and colors TCOMP-1771: Record builder optimization (with static schema) TCOMP-1773: Upgrade log4j2 to 2.13.3 TCOMP-1774: Upgrade johnzon to 1.2.8 TCOMP-1775: Upgrade commons-lang3 to 3.11 TCOMP-1776: Upgrade commons-codec to 1.15 TCOMP-1777: Upgrade jgit to 5.9.0.202009080501-r TCOMP-1778: Upgrade jib-core to 0.15.0 TCOMP-1779: Upgrade batik to 1.13 TCOMP-1780: Upgrade TSBI to 2.4.0-20200925092052 TCOMP-1781: Upgrade asciidoctorj to 2.4.1 TCOMP-1782: Upgrade rrd4j to 3.7 TCOMP-1783: Upgrade netty to 5.0.0.Alpha2 TCOMP-1784: Upgrade ziplock to 8.0.4 TCOMP-1785: Upgrade JRuby to 9.2.13.0 TCOMP-1786: Upgrade to Apache Beam 2.24.0 TCOMP-1804: Upgrade to Apache Beam 2.25.0 TCOMP-1805: Upgrade TSBI to 2.5.0-20201030171201 TCOMP-1770: Performance loss on Ouput components in Studio TCOMP-1750: Deadlock at TPD job startup using the component SDK and using the Workday component TCOMP-1759: Guess schema mixes columns returned by tck service TCOMP-1752: Make component-runtime class loader find classes in RemoteEngine JobServer TCOMP-1764: Upgrade to Apache Beam 2.23.0 TCOMP-1719: Header responses for icon not propagated correctly from component-server-vault-proxy TCOMP-1733: NPE in Studio metadata connection with activeif on different layouts TCOMP-1734: Studio froze when installing a patch with azure-dls-gen2-1.10.0-component.car TCOMP-1736: JobImpl retrieves more than streaming.maxRecords parameter TCOMP-1739: Use scala version defined on parent for Spark related components TCOMP-1695: Support List type in Studio TCOMP-1737: Allow to force installation of an already existing component with the car bundle TCOMP-1728: Enforce use of the defined error contract in connectors TCOMP-1731: Make connectors docker image TSBI compliant TCOMP-1738: Upgrade to Apache Beam 2.22.0 TCOMP-1742: Upgrade johnzon to 1.2.7 TCOMP-1727: WebSocketContainer not present in ServletContext TCOMP-1696: Definition of an error contract to handle expected errors TCOMP-1729: Upgrade to Apache Beam 2.21.0 TCOMP-1730: Upgrade johnzon to 1.2.6 TCOMP-1719: Header responses for icon not propagated correctly from component-server-vault-proxy TCOMP-1649: Tomcat bump to 9.0.31 broke talend-component:web goal TCOMP-1676: Starter-toolkit mvn package throws error when running for the first time TCOMP-1677: Using other types than String in Studio’s context values causes compilation error TCOMP-1679: Combination of @Required and @Suggestable on a field creates strange behaviour TCOMP-1682: Remove key attribute in UISchema for containers TCOMP-1686: antora helper function relativize corrupts documentation TCOMP-1694: [MAVEN PLUGIN] validateSvg argument is ineffective TCOMP-1698: UiSpecService injects a wrong property for suggestions and dynamic_values TCOMP-1718: Duplicated code in RecordConverters TCOMP-1702: Improve columns name TCOMP-1655: Upgrade jib-core to 0.13.1 TCOMP-1656: Upgrade log4j2 to 2.13.1 TCOMP-1657: Upgrade maven to 3.6.3 TCOMP-1658: Upgrade groovy to 3.0.2 TCOMP-1659: Upgrade lombok to 1.18.12 TCOMP-1660: Upgrade commons-compress to 1.20 TCOMP-1661: Upgrade commons-codec to 1.14 TCOMP-1662: Upgrade guava to 28.2-jre TCOMP-1663: Upgrade ziplock to 8.0.1 TCOMP-1664: Upgrade asciidoctorj to 2.2.0 and its dependencies TCOMP-1665: Upgrade jackson to 2.10.3 TCOMP-1666: Upgrade batik-codec to 1.12 TCOMP-1667: Upgrade jgit to 5.6.1.202002131546-r TCOMP-1668: Upgrade junit to 4.13 TCOMP-1669: Upgrade bouncycastle to 1.64 TCOMP-1670: Upgrade spark-core_2.11 to 2.4.5 TCOMP-1671: Upgrade maven-shade-plugin to 3.2.2 TCOMP-1672: Upgrade httpclient to 4.5.12 TCOMP-1673: Upgrade component-runtime-testing dependencies TCOMP-1674: Upgrade tomitribe-crest to 0.14 TCOMP-1678: Upgrade jgit to 5.7.0.202003090808-r TCOMP-1685: Provide docker images based on TSBI TCOMP-1687: More explicit exception messsage on reflection for findField TCOMP-1690: Upgrade netty to 4.1.48.Final TCOMP-1692: Update CXF to 3.3.6 due to CVE-2020-1954 TCOMP-1697: Update BouncyCastle to 1.65 TCOMP-1703: Upgrade log4j-2 to 2.13.2 TCOMP-1705: Upgrade to Apache Beam 2.20.0 TCOMP-1706: Upgrade OpenWebBeans to 2.0.16 TCOMP-1708: Upgrade groovy to 3.0.3 TCOMP-1710: Upgrade johnzon to 1.2.5 TCOMP-1711: Upgrade guava to 29.0-jre TCOMP-1712: Upgrade commons-lang3 to 3.10 TCOMP-1713: Upgrade jackson to 2.11.0 TCOMP-1714: Upgrade junit to 5.7.0-M1 TCOMP-1716: Upgrade maven shade plugin to 3.2.3 and misc libs TCOMP-1639: component-server incorrect response set in request TCOMP-1640: Ensure Intellij plugin works with Intellij Idea IU-201 TCOMP-1641: Upgrade OpenWebBeans to 2.0.15 TCOMP-1642: Upgrade Groovy to 3.0.1 TCOMP-1643: Add automatic scheduling eviction system on LocalCache TCOMP-1644: Upgrade log4j to 2.13.0 TCOMP-1645: Ensure correct wording is used in @Documentation TCOMP-1647: Upgrade netty to 4.1.45.Final TCOMP-1648: Unsafe Dependancy Resolution on jcommander TCOMP-1638: Inject services to delegate in proxy TCOMP-1619: Handle correctly DATETIME field type on AvroRecord TCOMP-1622: [DOC] @Icon is not supported on datastore/dataset TCOMP-1623: Change scheme for maven repos TCOMP-1628: Manage BigDecimal in RecordConverter TCOMP-1629: Ensure LocalConfiguration environment source replace dot with _ TCOMP-1630: Avoid NPE when configurationByExample() is called in a list of primitive without values TCOMP-1631: int attribute in pojo is transformed to double in a Record TCOMP-1632: Add a way to evict cached data from LocalCache TCOMP-1616: Upgrade OpenWebBeans to 2.0.14 in component-server and component-server-vault-proxy TCOMP-1617: Move mocked api results to github pages TCOMP-1618: Upgrade Junit to 5.6.0 TCOMP-1620: Upgrade to Apache Beam 2.18.0 TCOMP-1621: Upgrade to Johnzon 1.2.3 TCOMP-1624: @Service does not support list injections TCOMP-1625: Upgrade to xbean 4.16 TCOMP-1626: Ensure ContainerListenerExtensions can be sorted TCOMP-1627: Upgrade to Apache Beam 2.19.0 TCOMP-1633: Upgrade Groovy to 3.0.0 TCOMP-1634: Upgrade tomcat to 9.0.31 TCOMP-1596: Windows URI are broken TCOMP-1597: Httpclient does not support multi query parameters TCOMP-1598: validator task uses ENGLISH locale to validate instead of root one TCOMP-1612: Starter toolkit shouldn’t use the default 'STAR' icon in demo component TCOMP-1585: Upgrade netty to 4.1.43.Final TCOMP-1586: Upgrade ziplock to v8.0.0 TCOMP-1587: Upgrade jib to v0.12.0 TCOMP-1588: Upgrade JRuby to v9.2.9.0 TCOMP-1589: Upgrade crest to v0.11.0 TCOMP-1591: Update to Tomcat 9.0.29 TCOMP-1592: Update to Johnzon 1.2.2 TCOMP-1593: Update to OpenWebBeans 2.0.13 TCOMP-1595: Infinite partitionmapper shouldn’t require assesor TCOMP-1599: More unsafe usage tolerance on JVM versions TCOMP-1600: Upgrade to Tomcat 9.0.30 TCOMP-1606: Ensure job dsl can stop infinite inputs TCOMP-1608: Upgrade geronimo openapi to 1.0.12 TCOMP-1609: Ensure Intellij plugin works with Intellij Idea 2019 TCOMP-1611: Upgrade to Apache Beam 2.17.0 TCOMP-1613: Upgrade cxf to 3.3.5 TCOMP-1614: Upgrade groovy to 3.0.0-rc3 TCOMP-1615: Upgrade OpenWebBeans to 2.0.14 TCOMP-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 parameter TCOMP-1110: When a configuration has no layout and uses @AfterGroup the configuration is lost TCOMP-1111: Move to PropertyEditorRegistry from xbean instead of using the deprecated static class TCOMP-1000: @Option name value is not respected on fields TCOMP-1008: Enum order is lost TCOMP-1009: (web) OptionsOrder ignored for tables (List), fields located in random order TCOMP-1028: [tools-webapp] submit button no more functional TCOMP-1031: DiscoverSchema parameters are not correctly mapped in Studio GuessSchema runtime TCOMP-1044: Fix java.lang.ClassCastException in TableActionParameter TCOMP-1046: String option can’t set default value from a file TCOMP-1056: ActiveIf doesn’t work in advanced settings TCOMP-1072: Metadata migration issues TCOMP-1074: talend-component mvn plugin : deploy-in-studio need to rise an error when component is already installed TCOMP-1075: component reload file on windows after deploying a modified jar TCOMP-1076: component starter - fix mapper generation (Record integration) TCOMP-1077: component starter - ensure kit version are updated atomically. TCOMP-1078: Guess Schema button is not shown on Basic Settings view TCOMP-1082: Fix Exception during HealthCheck parameter deserialization TCOMP-1085: [classloader] com.sun is too wide as exclusion TCOMP-1104: Fix drag and drop issue for dataset/datastore metadata TCOMP-779: Drop down list Java type in configuration class TCOMP-819: Processor doesn’t produce more than 1 row on each iteration TCOMP-917: Migration handler need only to receive component configuration TCOMP-941: Default and init values are ignored in connection wizzard (datastore/dataset) TCOMP-968: Trigger AsyncValidation call only when option annotated with Validable is changed TCOMP-970: Add support for complex parameter types for AsyncValidation methods TCOMP-973: component migration - the configuration version need to be serialized in addition to the version of the component TCOMP-984: Integrate ParameterizedTest with component-runtime-http-junit capture mode TCOMP-988: component migration - fix nested configuration migration TCOMP-989: .car studio install command breaks config.ini of the studio TCOMP-991: metadat : ignore activations from config not being part of the form while creating metadata TCOMP-996: metadata : migration issues TCOMP-1001: [proxy] ConfigurationClient should expose a migrate method TCOMP-1011: Ensure datastore/dataset i18n names are validated by the maven/gradle plugins TCOMP-1013: Add an operator support in @ActiveIfs (OR/AND switch) TCOMP-1014: Ensure a dataset has a source which has no other required parameters in the validator TCOMP-1029: Extend ActiveIf EvaluationStrategy with CONTAINS strategy TCOMP-1063: Integrate Record API to the studio TCOMP-1069: restrict input branches for output components to only one. TCOMP-1071: support actions i18n display name TCOMP-1092: Ensure @Configuration POJO are injectable as Supplier in services TCOMP-1094: Add FullSerializationRecordCoder coder for Record in beam module TCOMP-1095: Ensure all configuration type models root entries are named "configuration" TCOMP-993: [proxy] Propagate UiSpecContext in referenceservice#findBytypeAndName TCOMP-994: [dependency upgrade] CXF 3.2.6 TCOMP-1003: [dependency upgrade] Tomcat 9.0.12 TCOMP-1004: [dependency upgrade] Log4j2 2.11.1 TCOMP-1015: Upgrade icons to 1.0.0 TCOMP-1019: (form) enum should lead to restricted datalist TCOMP-1037: [dependency upgrade] Johnzon 1.1.9 TCOMP-1038: Drop spring client from component-form-core TCOMP-1041: HttpClient should enable to process InputStream directly TCOMP-1042: Upgrade to JUnit 5.3.1 TCOMP-1045: Add documentation in metadata and enable to use it in the UI on configuration TCOMP-1047: Make Suggestable text field editable (align with web) TCOMP-1048: Add update API for configuration TCOMP-1049: Add completion support for actions displayname in intellij plugin TCOMP-1050: Provide simple OAuth1 integration TCOMP-1051: Remove brave and move to geronimo-opentracing TCOMP-1054: Introduce @Configuration API TCOMP-1055: remove the ExecutionResource TCOMP-1057: Add ActiveIf on @Proposable test-case TCOMP-1058: Add DefaultValue on proposable/dynamicValue testcase TCOMP-1059: Rework generic record format TCOMP-1073: [maven/gradle plugin] Add configuration support in web goal TCOMP-1079: Document new Record structure TCOMP-1080: [dependency upgrade] Meecrowave 1.2.4 TCOMP-1081: componentManager should ignore engine classes in its filtering TCOMP-1087: Jsonb service should serialize byte[] as BASE64 TCOMP-1089: [starter] Upgrade gradle to 4.10.2 TCOMP-1090: [form] Main/Advanced order not respected when some remote action are involved TCOMP-1091: Ensure main component is preferred over test ones in a maven project TCOMP-1093: [dependency upgrade] netty 4.1.30.Final for junit http testing module TCOMP-1096: [dependency upgrade] xbean 4.10 TCOMP-1097: [dependency upgrade] Beam 2.7.0 TCOMP-1099: Upgrade web ui bundle to 1.0.2 TCOMP-1101: Add conditional rendering in the generated documentation TCOMP-1102: Reflect in documentation that Validable/AsyncValidation doesn’t support Object types TCOMP-1106: Enable to generate the component documentation in multiple languages TCOMP-1107: ConfigurableClassLoader does not priviledges container classloader for getResourceAsStream TCOMP-877: [documentation] Sample implementation of bulk/batch/commit-interval using groups TCOMP-980: Provide a ValidationService in server-proxy TCOMP-985: Align docker git metada on out Standard TCOMP-998: [dependency upgrade] Apache Commons Compress 1.18 TCOMP-911: Suggestions callback doesn’t support Configuration parameters TCOMP-921: String cannot be cast to Boolean when adding table with checkboxes TCOMP-922: component manager : support loading dependencies from job lib folder. TCOMP-924: component-kit.js errors are not sent to the error handler TCOMP-927: talend-component:web errors are not always unwrapped and understandable TCOMP-934: Ensure Studio rely on category and doesn’t append family name TCOMP-960: Suggestions parameters are not correctly resolved in Studio TCOMP-961: Default value of Suggestions method parameter is ignored TCOMP-964: ClassCastException is thrown when non-string values are used as Suggestions method parameter TCOMP-825: Provide component server proxy TCOMP-928: Add negate and evaluation strategy to @ActiveIf TCOMP-929: Ensure category contains the family TCOMP-816: Check migration feature and implement missing use-cases TCOMP-918: create a mvn bom with tacokit stack to keep some dependencies aligned between component-runtime and it’s studio integration TCOMP-932: Avoid Kafka recursive logging for component server TCOMP-933: Drop component-kit.js module TCOMP-935: component server should log application and service in kafka mode TCOMP-938: Add a builtin::http trigger in the server proxy TCOMP-939: Ensure the proxy server can lookup references with a SPI TCOMP-943: (web) Grand parent references for triggers not well resolved TCOMP-944: (proxy server) Ensure the trigger are well resolved for references TCOMP-947: (maven/gradle) ensure web task logs there is a UI TCOMP-953: Upgrade to ziplock 7.0.5 TCOMP-954: Upgrade netty to 4.1.28.Final for the test stack TCOMP-958: componentvalidator error message in case of an unsupported type is misleading TCOMP-959: [dependency upgrade] Upgrade to icon bundle 0.202.0 TCOMP-962: .car deploy-in-studio command (CarMain) should support to override an existing version TCOMP-965: [dependency upgrade] Apache Beam 2.6.0 TCOMP-966: Ensure Studio integration renames HTTP threads to identify them more explicitly TCOMP-967: Ensure parameter index is in metadata for services and constructors TCOMP-919: Starter doesn’t synchronize correctly with central versions TCOMP-920: Use Meecrowave 1.2.3 TCOMP-888: Designer pipeline records counter are wrong for tacokit components with multiples outputs TCOMP-899: Update Beam 2.5.0 compatibility TCOMP-903: [tacokit studio integration] - Guess schema - better handling of number types recognition TCOMP-904: [tacokit studio integration] - fix job classpath generation TCOMP-913: Fix absolute path resolution for child of child use-case TCOMP-900: [tacokit studio integration] - Handle conditional outputs TCOMP-898: Ensure starter will be able to auto update its versions to avoid redeployments TCOMP-905: Enrich scanning exclusion set TCOMP-906: Minimalist JsonObject to IndexeredRecord utilities for beam TCOMP-907: Support maxBatchSize as in the studio in Beam TCOMP-910: Add maxbatchsize as built in parameter to Processor meta model TCOMP-915: Upgrade Apache Meecrowave to 1.2.2 TCOMP-822: [Windows] deploy-in-studio & car copy jar command in mvn plugin - don’t work if the studio is running TCOMP-844: Service default method forwarded to interface method instead of implementation one if exists TCOMP-848: [junit5] implicit mock collector and emitter are not resetted per method TCOMP-851: [form] UiSchema shouldn’t have a JsonSchema TCOMP-858: @OptionsOrder not respected by form-core TCOMP-862: [form-core] ".." path is not correctly resolved TCOMP-863: Job DSL doesn’t support multiple outputs TCOMP-873: Fix shade junit-http module : remove shaded dependencies from generated artifact TCOMP-889: [form] arrays are lost in trigger paths TCOMP-890: Merge the component outputs (by name) from @AfterGroup and @ElementListener TCOMP-893: Don’t log a warning for services when parameters don’t have i18n support TCOMP-834: Ensure that component has only one configuration argument. TCOMP-845: [junit] componentsHandler misses findService TCOMP-846: [junit] allow to inject current plugin services in test class TCOMP-847: Support gzip in JUnit HTTP tooling TCOMP-849: [junit http] support to match the request payload TCOMP-850: MavenDecrypter should tolerate ${env.xxx} syntax TCOMP-861: Ensure Car Mojo can be skipped TCOMP-887: [studio] add chunk size advanced common param for processors & output TCOMP-892: Validate runtime configuration before executing the runtime TCOMP-829: Configuration type tree is not correctly computed TCOMP-830: Move all configuration to Microprofile Config instead of DeltaSpike TCOMP-832: Provide a way to access lastUpdatedTimestamp in rest api TCOMP-833: Upgrade gradle+maven for the starter TCOMP-839: Add an API to load lazily the potential values of a list TCOMP-840: Upgrade icon bundle to 0.190.2 TCOMP-841: Add validation of option names in the validator TCOMP-852: [dependency upgrade] Upgrade shrinkwrap-resolver-impl-maven to 3.1.3 TCOMP-855: Support service injections in services TCOMP-856: [dependency upgrade] OpenWebBeans 2.0.6 TCOMP-857: SimpleCollector must not depend on junit 4 TCOMP-864: Mojo should be thread safe for car/dependencies.txt generation TCOMP-867: Expose Injector service TCOMP-868: Create an ObjectFactory service TCOMP-869: Ensure actions can get injected the requested lang TCOMP-870: Provide Beam DoFn to simplify the migration from IndexedRecord to JsonObject TCOMP-876: Allow custom converters in form-core TCOMP-878: Add beam in the docker image OOTB TCOMP-879: CarMojo doesn’t use car extension to attach the artifact TCOMP-880: [dependency upgrade] Maven 3.5.4 TCOMP-881: [dependency upgrade] CXF 3.2.5 TCOMP-882: [dependency upgrade] Tomcat 9.0.10 TCOMP-883: [dependency upgrade] Beam 2.5.0 TCOMP-884: [dependency upgrade] Upgrade to icon bundle 0.197.0 TCOMP-894: [dependency upgrade] Johnzon 1.1.8 TCOMP-895: [dependency upgrade] xbean 4.9 TCOMP-827: Fix Automatic-Module-Name TCOMP-811: Upgrade to tomcat 9.0.8 TCOMP-826: Extract component model from component server to a new artifact TCOMP-763: Add a dev mode in the studio for tacokit TCOMP-802: Add method to upload dependencies from .car to nexus TCOMP-808: Upgrade to JUnit 5.2.0 TCOMP-809: compress js and css for the starter TCOMP-810: ui spec service uses a multiselecttag for a proposable on a string field TCOMP-804: Idea plugin doesn’t render properly configuration inputs TCOMP-798: intellij plugin - add official starter url TCOMP-799: @Checkable expects the datastore name to match the validation name TCOMP-806: Ensure server and starter support gzip TCOMP-643: Deployment TCOMP-770: Removing component from web UI causes wrong number of components in summary TCOMP-775: Starter - Fix properties keys generation TCOMP-776: component-kit.js ignore credentials TCOMP-783: ActiveIfs doesn’t make option visible TCOMP-796: Datastore check (@Checkable) should default meta parameters to "datastore" if none is found TCOMP-773: Extend the http client api to handle more generic use cases TCOMP-771: ConfigurableClassLoader should skip scala.* classes TCOMP-772: Upgrade icon set to ui/icons 0.179.0 TCOMP-774: Upgrade xbean to 4.8 TCOMP-768: More tolerance of configuration prefix for implicit migration of configuration node in form core library TCOMP-756: Setup maven clirr plugin for component-api +testing TCOMP-762: Starter should only propose a single category level in the ui TCOMP-767: Ensure the configurationtype endpoints have matching name/path values TCOMP-761: Merge component-runtime-manager and component-runtime-standalone TCOMP-764: Clean up component-form-core dependencies TCOMP-765: Upgrade to batik 1.9.1 TCOMP-752: Fix Advanced settings and Test connection button appearance in repository wizard TCOMP-757: Duplicate method name "writeReplace" with signature "()Ljava.lang.Object;" in class file TCOMP-751: Support gzip compression on component-server TCOMP-753: Make classpath scanning to find component configurable TCOMP-758: Support component-server server configuration from system properties TCOMP-759: Enum must be i18n TCOMP-738: component Server should respect ~/.m2/settings.xml local repository if it exists TCOMP-739: SerializationTransformer shouldn’t use componentManager to avoid ClassNotFoundException TCOMP-740: UISpecService should be reactive and use a CompletionStage based API TCOMP-741: UISpecService configuration support TCOMP-742: Configuration type properties should be rooted TCOMP-744: Ensure wrapped BeamIO uses the right TCCL TCOMP-745: [Dependency Upgrade] CXF 3.2.4 TCOMP-746: [Dependency Upgrade] Tomcat 9.0.6 TCOMP-747: [Dependency Upgrade] Log4j2 2.11.0 TCOMP-748: Make configurationtype index endpoint lighter OOTB TCOMP-749: Intellij Idea plugin TCOMP-750: Unify @Pattern using javascript regex instead of a mixed mode TCOMP-734: Add support for context and globalMap values in Tacokit component settings TCOMP-733: support to use a beam pipeline under the hood for beam components in di TCOMP-693: Integrate Migration API TCOMP-737: upgrade to beam 2.4.0 TCOMP-731: Configuration type migration handler skipped TCOMP-725: MavenDecrypter doesn’t support comments in settings.xml TCOMP-726: When a component is not found the error message can be misleading TCOMP-728: Http client doesn’t ignore empty query parameters TCOMP-722: WebSocket connection fails with a NPE when the endpoint doesn’t exists TCOMP-723: Adding configurationByExample utility to create query string for Job DSL TCOMP-724: Documentation endpoint doesn’t support HTML TCOMP-446: Support Embedded Documentation TCOMP-650: Ensure component can be executed in beam pipelines TCOMP-651: Ensure beam components can be wrapped and used through the Talend component Kit Framework TCOMP-653: Web Form metamodel service TCOMP-655: Catalog service TCOMP-656: UISpec compatibility TCOMP-658: Add test Source/Sink collectors in JUnit integration TCOMP-659: Basic job builder API to simplify JUnit tests TCOMP-662: Validation Mojo TCOMP-664: Local testing server for dev TCOMP-675: Select a communication solution for Talend component Kit server TCOMP-680: Register components into the Studio Palette TCOMP-681: Studio parameters form integration TCOMP-682: Studio Metadata integration TCOMP-683: Studio Runtime integration TCOMP-691: Create context menu for Tacokit node in repository panel TCOMP-719: Support Input Definition TCOMP-720: Support Output Definition TCOMP-721: Initial Widget Definitions

Talend component scanning is based on plugins. To make sure that plugins can be developed in parallel and avoid conflicts, they need to be isolated (component or group of components in a single jar/plugin). Multiple options are available: Graph classloading: this option allows you to link the plugins and dependencies together dynamically in any direction. For example, the graph classloading can be illustrated by OSGi containers. Tree classloading: a shared classloader inherited by plugin classloaders. However, plugin classloader classes are not seen by the shared classloader, nor by other plugins. For example, the tree classloading is commonly used by Servlet containers where plugins are web applications. Flat classpath: listed for completeness but rejected by design because it doesn’t comply with this requirement. In order to avoid much complexity added by this layer, Talend component Kit relies on a tree classloading. The advantage is that you don’t need to define the relationship with other plugins/dependencies, because it is built-in. Here is a representation of this solution: The shared area contains Talend component Kit API, which only contains by default the classes shared by the plugins. Then, each plugin is loaded with its own classloader and dependencies. This section explains the overall way to handle dependencies but the Talend Maven plugin provides a shortcut for that. A plugin is a JAR file that was enriched with the list of its dependencies. By default, Talend component Kit runtime is able to read the output of maven-dependency-plugin in TALEND-INF/dependencies.txt. You just need to make sure that your component defines the following plugin: Once build, check the JAR file and look for the following lines: What is important to see is the scope related to the artifacts: The APIs (component-api and geronimo-annotation_1.3_spec) are provided because you can consider them to be there when executing (they come with the framework). Your specific dependencies (awesome-project in the example above) are marked as compile: they are included as needed dependencies by the framework (note that using runtime works too). the other dependencies are ignored. For example, test dependencies. Even if a flat classpath deployment is possible, it is not recommended because it would then reduce the capabilities of the components. The way the framework resolves dependencies is based on a local Maven repository layout. As a quick reminder, it looks like: This is all the layout the framework uses. The logic converts t-uple {groupId, artifactId, version, type (jar)} to the path in the repository. Talend component Kit runtime has two ways to find an artifact: From the file system based on a configured Maven 2 repository. From a fat JAR (uber JAR) with a nested Maven repository under MAVEN-INF/repository. The first option uses either ${user.home}/.m2/repository (default) or a specific path configured when creating a componentManager. The nested repository option needs some configuration during the packaging to ensure the repository is correctly created. To create the nested MAVEN-INF/repository repository, you can use the nested-maven-repository extension: Plugins are usually programmatically registered. If you want to make some of them automatically available, you need to generate a TALEND-INF/plugins.properties file that maps a plugin name to coordinates found with the Maven mechanism described above. You can enrich maven-shade-plugin to do it: Here is a final job/application bundle based on maven-shade-plugin: The configuration unrelated to transformers depends on your application. ContainerDependenciesTransformer embeds a Maven repository and PluginTransformer to create a file that lists (one per line) artifacts (representing plugins). Both transformers share most of their configuration: session: must be set to ${session}. This is used to retrieve dependencies. scope: a comma-separated list of scopes to include in the artifact filtering (note that the default will rely on provided but you can replace it by compile, runtime, runtime+compile, runtime+system or test). include: a comma-separated list of artifacts to include in the artifact filtering. exclude: a comma-separated list of artifacts to exclude in the artifact filtering. userArtifacts: set of artifacts to include (groupId, artifactId, version, type - optional, file - optional for plugin transformer, scope - optional) which can be forced inline. This parameter is mainly useful for PluginTransformer. includeTransitiveDependencies: should transitive dependencies of the components be included. Set to true by default. It is active for userArtifacts. includeProjectcomponentDependencies: should component project dependencies be included. Set to false by default. It is not needed when a job project uses isolation for components. With the component tooling, it is recommended to keep default locations. Also if you need to use project dependencies, you can need to refactor your project structure to ensure component isolation. Talend component Kit lets you handle that part but the recommended practice is to use userArtifacts for the components instead of project . ContainerDependenciesTransformer specific configuration is as follows: repositoryBase: base repository location (MAVEN-INF/repository by default). ignoredPaths: a comma-separated list of folders not to create in the output JAR. This is common for folders already created by other transformers/build parts. ContainerDependenciesTransformer specific configuration is the following one: pluginListResource: base repository location (default to TALEND-INF/plugins.properties). For example, if you want to list only the plugins you use, you can configure this transformer as follows: The framework uses two kind of filterings when scanning your component. One based on the JAR content - the presence of TALEND-INF/dependencies.txt and one based on the package name. Make sure that your component definitions (including services) are in a scanned module if they are not registered manually using componentManager.instance().addPlugin(), and that the component package is not excluded. Since the framework can be used in the case of fatjars or shades, and because it still uses scanning, it is important to ensure we don’t scan the whole classes for performances reason. Therefore, the following packages are ignored: avro.shaded com.codehale.metrics com.ctc.wstx com.datastax.driver com.fasterxml.jackson com.google.common com.google.thirdparty com.ibm.wsdl com.jcraft.jsch com.kenai com.sun.istack com.sun.xml com.talend.shaded com.thoughtworks io.jsonwebtoken io.netty io.swagger javax jnr junit net.sf.ehcache net.shibboleth org.aeonbits.owner org.apache org.bouncycastle org.codehaus org.cryptacular org.eclipse org.fusesource org.h2 org.hamcrest org.hsqldb org.jasypt org.jboss org.joda org.jose4j org.junit org.jvnet org.metatype org.objectweb org.openejb org.opensaml org.slf4j org.swizzle org.terracotta org.tukaani org.yaml serp it is not recommanded but possible to add in your plugin module a TALEND-INF/scanning.properties file with classloader.includes and classloader.excludes entries to refine the scanning with custom rules. In such a case, exclusions win over inclusions.

Before implementing a component logic and configuration, you need to specify the family and the category it belongs to, the component type and name, as well as its name and a few other generic parameters. This set of metadata, and more particularly the family, categories and component type, is mandatory to recognize and load the component to Talend Studio or Cloud applications. Some of these parameters are handled at the project generation using the starter, but can still be accessed and updated later on. The family and category of a component is automatically written in the package-info.java file of the component package, using the @components annotation. By default, these parameters are already configured in this file when you import your project in your IDE. Their value correspond to what was defined during the project definition with the starter. Multiple components can share the same family and category value, but the family + name pair must be unique for the system. A component can belong to one family only and to one or several categories. If not specified, the category defaults to Misc. The package-info.java file also defines the component family icon, which is different from the component icon. You can learn how to customize this icon in this section. Here is a sample package-info.java: Another example with an existing component: components can require metadata to be integrated in Talend Studio or Cloud platforms. Metadata is set on the component class and belongs to the org.talend.sdk.component.api.component package. When you generate your project and import it in your IDE, icon and version both come with a default value. @Icon: Sets an icon key used to represent the component. You can use a custom key with the custom() method but the icon may not be rendered properly. The icon defaults to Check. Replace it with a custom icon, as described in this section. @Version: Sets the component version. 1 by default. Learn how to manage different versions and migrations between your component versions in this section. For example: Every component family and component needs to have a representative icon. You have to define a custom icon as follows: For the component family the icon is defined in the package-info.java file. For the component itself, you need to declare the icon in the component class. Custom icons must comply with the following requirements: Icons must be stored in the src/main/resources/icons folder of the project. Icon file names need to match one of the following patterns: IconName.svg or IconName_icon32.png. The latter will run in degraded mode in Talend Cloud. Replace IconName by the name of your choice. Icons must be squared, even for the SVG format. Note that SVG icons are not supported by Talend Studio and can cause the deployment of the component to fail. If you aim at deploying a custom component to Talend Studio, specify PNG icons or use the Maven (or Gradle) svg2png plugin to convert SVG icons to PNG. If you want a finer control over both images, you can provide both in your component. Ultimately, you can also remove SVG parameters from the talend.component.server.icon.paths property in the HTTP server configuration. Note that SVG icons are not supported by Talend Studio and can cause the deployment of the component to fail. If you aim at deploying a custom component to Talend Studio, specify PNG icons or use the Maven (or Gradle) svg2png plugin to convert SVG icons to PNG. If you want a finer control over both images, you can provide both in your component. Ultimately, you can also remove SVG parameters from the talend.component.server.icon.paths property in the HTTP server configuration. For any purpose, you can also add user defined metadatas to your component with the @Metadatas annotation. Example: You can also use a SPI implementing org.talend.sdk.component.spi.component.componentMetadataEnricher. Methodology for creating components Generating a project using the starter Managing component versions Defining an input component Defining a processor or output component Defining a driver runner component Defining component layout and configuration Best practices

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

Each type of component has its own execution logic. The same basic logic is applied to all components of the same type, and is then extended to implement each component specificities. The project generated from the starter already contains the basic logic for each component. Talend component Kit framework relies on several primitive components. All components can use @PostConstruct and @PreDestroy annotations to initialize or release some underlying resource at the beginning and the end of a processing. In distributed environments, class constructor are called on cluster manager nodes. Methods annotated with @PostConstruct and @PreDestroy are called on worker nodes. Thus, partition plan computation and pipeline tasks are performed on different nodes. All the methods managed by the framework must be public. Private methods are ignored. The framework is designed to be as declarative as possible but also to stay extensible by not using fixed interfaces or method signatures. This allows to incrementally add new features of the underlying implementations.

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