flink</groupId> <artifactId>flink-connector-opensearch</artifactId> <version>1. To use this connector, add one of the following dependencies to your project, depending on the version of the Elasticsearch installation: Elasticsearch version Maven Dependency 5. For an introduction to event time, processing time, and ingestion time, please refer to the introduction to event time. Jun 28, 2018 · groupDS. In the 2pc scenario, global uniqueness is required to ensure Flink's EOS semantics. The InfluxDB Source serves as an output target for Telegraf (and compatible tools). This document describes how to setup the Elasticsearch Connector to run SQL queries against Elasticsearch. You can find guidance on how to build applications using the Flink Datastream and Table API in the documentation. http. HEADER_NAME = header value for example: gid. enable: Whether to use transactions in MongoSink (requires MongoDB 4. Watermark; @Experimental public interface SinkWriter<InputT, CommT, WriterStateT> extends AutoCloseable {/** * Add a watermark to the writer. To use it, add the following dependency to your project (along with your JDBC driver): Only available for stable versions. The Table API abstracts away many internals and provides a structured and declarative API. Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. In your application code, you can use any Apache Flink sink connector to write into external systems, including AWS services, such as Kinesis Data Streams and DynamoDB. flink. addSource(sourceFunction). x Requirements: Java 1. The new sink connector will be based on the Async Sink (FLIP-171), support both Bounded (Batch) and Unbounded (Streaming). The eco-system of Flink CDC keeps expanding, including new Kafka and Paimon pipeline sinks and enhancement to existing connectors. The predefined data sinks support writing to files, to stdout and stderr, and to sockets. lang. Nov 25, 2019 · In a previous story on the Flink blog, we explained the different ways that Apache Flink and Apache Pulsar can integrate to provide elastic data processing at large scale. In upsert mode, Flink will insert a new row or update the existing row according to the primary key, Flink can ensure the idempotence in MongoDB Connector # Flink provides a MongoDB connector for reading and writing data from and to MongoDB collections with at-least-once guarantees. Sep 17, 2022 · Move data structures of the Blink planner to `table-common` under `org. ) With the Streaming File Sink you can observe the part files transition to the finished state when they complete. We are proud of how this community is consistently moving the project forward. It allows Flink to offer a truly unified interface over batch and streaming and makes stream Jun 27, 2022 · Apache Flink 是一种流行的数据处理框架，本文介绍了 Flink 程序如何使用输出算子（Sink）将计算结果写入外部存储系统，例如 Kafka、HDFS、MySQL 等。文章还介绍了 Sink 的类型、功能和配置方法，以及如何自定义 Sink 函数。如果你想了解 Flink 的输出算子，不妨点击阅读。 Recent Flink blogs Apache Flink Kubernetes Operator 1. How To Follow Along # If you want to follow along, you will require a computer with: Java 11; Python 3. To use this connector, add one of the following dependencies to your project, depending on the version of the Elasticsearch installation: Elasticsearch version Maven Dependency 6. sink : org. In this post, I will give a short introduction to Apache Pulsar and its package org. Modern Kafka clients are backwards compatible Elasticsearch Connector # This connector provides sinks that can request document actions to an Elasticsearch Index. Topics: Data sinks; Connectors; Kafka Since 1. Redis Cluster 3. Sink in Apache Flink is simply put as an output. HASH) . SinkFunction SinkFunction. You can attach a source to your program by using StreamExecutionEnvironment. You can These sinks will usually connect to a database or streaming platform. , message queues, socket streams, files). Once again, more than 200 contributors worked on over 1,000 issues. append User-defined sources & sinks; This documentation is for an unreleased version of Apache Flink. Simple. Like any other columnar format that encodes data in bulk fashion, Flink’s OrcBulkWriter writes the input elements in batches. Json format # To use the JSON format you need to add the Flink JSON dependency to your project: <dependency> <groupId>org. 最新博客列表 Apache Flink Kubernetes Operator 1. The specified image must be based upon the same Apache Flink and Scala versions as used by the application. 12 we should be more focused on only satisfying the S3/HDFS/Iceberg sink. Dynamic Jan 8, 2024 · A sink operation in Flink triggers the execution of a stream to produce the desired result of the program, such as saving the result to the file system or printing it to the standard output. Flink transformations are lazy, meaning that they are not executed until a sink operation is invoked. 0! This is the first release after the community accepted the donation of Flink CDC as a sub-project of Apache Flink, with exciting new features such as transform and table merging. 0! Close to 300 contributors worked on over 1k threads to bring significant improvements to usability as well as new features that simplify (and unify) Flink handling across the API stack. Headers are defined via property key gid. . writeParallelism(2) . 1. 11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. The Apache Flink community is excited to announce the release of Flink Kubernetes Operator 1. The used Resource Apache Flink has a rich connector ecosystem that can persist data in various destinations. (You can, however, fork the stream and do additional processing in parallel with writing to the sink. * * @param watermark The watermark. The new sink will be housed in a new connector repo, similar to ElasticSearch [1]. 14, Flink 1. 0 Release Announcement July 2, 2024 - Gyula Fora. Telegraf pushes data to the source. 7. 0 release. A class providing an interface for sending data to Redis. MongoDB Source # The example below shows how to configure and create a source: Java import org. The Async Sink is an abstraction for building sinks with at-least-once semantics to make it easier and less time consuming to build and maintain sinks in Apache Flink. , filtering, updating state, defining windows, aggregating). avro. Opensearch Connector # This connector provides sinks that can request document actions to an Opensearch Index. JDBC Connector # This connector provides a sink that writes data to a JDBC database. 15 release. Flink 1. The backpressure will be propagated through your topology to the sources. 0-1. Whenever we say sink, it means the results of the Flink pipeline are being written, in Files (I am not sure if we have another Sink besides the file, if there is Sources are where your program reads its input from. sink2 : org. Jan 9, 2019 · I'm trying to follow this example but when I try to compile it, I have this error: Error: Unable to initialize main class com. The Source implements the unified Data Source API. Apache Kafka SQL Connector # Scan Source: Unbounded Sink: Streaming Append Mode The Kafka connector allows for reading data from and writing data into Kafka topics. 9, 3. kinesisanalytics. lookup. Compatibility, Deprecation, and Migration Plan. You can specify an index based on the payload of each event. I recently gave a talk at Flink Forward San Francisco 2019 and presented some of the integrations between the two frameworks for batch and streaming applications. In this video, we'll introduce the concept of a Flink data sink and show how you can create a simple Kafka sink. 3. PROCESS_CONTINUOUSLY with readFile to monitor a bucket and ingest new files as they are atomically moved into it. JDBC SQL Connector # Scan Source: Bounded Lookup Source: Sync Mode Sink: Batch Sink: Streaming Append & Upsert Mode. To enable the data to be bulk encoded in ORC format, Flink offers OrcBulkWriterFactory which takes a concrete implementation of Vectorizer. To use this connector, add the following dependency to your project: Opensearch version Maven Dependency 1. 17, and Flink 1. 12. x <dependency> <groupId>org. Process Unbounded and Bounded Data Image to use for Flink containers. The May 17, 2024 · The Apache Flink community is excited to announce the release of Flink CDC 3. flink</groupId> <artifactId>flink-connector-jdbc_2. Both Choosing which Apache Flink APIs to use in Managed Service for Apache Flink . source. flink</groupId> <artifactId>flink-connector-kinesis</artifactId> <version>4. 2</version> <scope>provided</scope> </dependency> For PyFlink users, you could use it directly in your jobs. 18. fromCatalog(catalogLoader, outputTable)) . The predefined data sources include reading from files, directories, and sockets, and ingesting data from collections and iterators. When creating a sink, an Ignite cache name and Ignite grid configuration file have to be provided. This is the next major Mar 16, 2022 · The core of the sink is kept generic and free of any connector-specific dependencies. Read the announcement in the AWS News Blog and learn more. This document describes how to set up the MongoDB connector to run SQL queries against MongoDB. In the following sections, we describe how to integrate Kafka, MySQL, Elasticsearch, and Kibana with Flink SQL to analyze e-commerce Iceberg uses Scala 2. x. See how to link with them for cluster execution here. // Configure row-based append FlinkSink. Below are the considerations for the new sink: Supports batch and streaming. flink</groupId> <artifactId>flink-connector Nov 11, 2023 · To provide a streamlined sink solution for Flink and Redshift integration, the flink-connector-redshift module will orchestrate and use flink-filesystem, behind the scenes. Nested classes/interfaces inherited from interface org. Introduction to Watermark Strategies # In order to work with event time, Flink needs to know the events timestamps, meaning each Oct 12, 2022 · Lastly, the app creates a flink sink configured to run in append mode and executed against the output table. This connector provides a source and sink to Apache ActiveMQ™ To use this connector, add the following dependency to your project: From the discussion i n the long run we should give the sink developer the ability of building “arbitrary” topologies. However, since the factors impacting a destination’s performance are variable over the job Flink ActiveMQ Connector. 8. In case if I will use async client it won't block sink. 0 Release Announcement 2024年7月2日 - Gyula Fora. Dependencies # In order to use the Kafka connector the following dependencies are required for both projects using a build automation tool (such as Maven or SBT) and SQL Client with Nested Class Summary. The sink emits its input data to Ignite cache. The log files can be accessed via the Job-/TaskManager pages of the WebUI. forRow(stream, FlinkSchemaUtil. The data streams are initially created from various sources (e. Dynamic Feb 21, 2020 · The Elasticsearch sink that Apache Flink provides is flexible and extensible. So big has been Python’s popularity, that it has pretty much become the default data processing language for data scientists. tableLoader(TableLoader. 8+. You need to use --allowNonRestoredState to ignore the previous sink state. Redis Sentinel. 17. distributionMode(DistributionMode. This document describes how to setup the Oracle CDC connector to run SQL queries against Oracle databases. Fault Tolerance Guarantees of Data Sources and Sinks # Flink’s fault tolerance mechanism recovers programs in the presence of failures and continues to execute them. 11 JDBC Connector # This connector provides a sink that writes data to a JDBC database. streaming Mar 25, 2016 · 2. 10 or 3. With the DataStream API you can use FileProcessingMode. We Flink DataStream API Programming Guide # DataStream programs in Flink are regular programs that implement transformations on data streams (e. use-managed-memory-allocator: false: If true, flink sink will use managed memory for merge tree; otherwise, it will create an independent memory allocator, which means each task allocates and manages its own memory pool (heap memory), if there are too many tasks in one Executor, it may cause performance issues and even OOM. The implementation relies on the JDBC driver support of XA standard. Bundled Connectors # Connectors Jun 28, 2020 · In Flink 1. Thus unit tests should be written for all types of applications, be it a simple job cleaning data and training a model or a complex multi-tenant, real-time data processing system. We does not change the current streaming and batch style sink API. Visit here for the official docker images provided by the Flink project. g. 12 when compiling the Apache iceberg-flink-runtime jar, Flink supports writing DataStream<RowData> and DataStream<Row> to the sink iceberg FileSystem # This connector provides a unified Source and Sink for BATCH and STREAMING that reads or writes (partitioned) files to file systems supported by the Flink FileSystem abstraction. py PyFlink depends on the following libraries to execute the above script: Flink uses the primary key that defined in DDL when writing data to external databases. Hudi works with Flink 1. functions. Additional connectors are maintained in Apache Bahir or directly on GitHub. File Sink # This connector provides a unified Sink for BATCH and STREAMING that writes partitioned files to filesystems supported by the Flink FileSystem abstraction. Because dynamic tables are only a logical concept, Flink does not own the data itself. 8, 3. The connector can operate in upsert mode for exchanging UPDATE/DELETE messages with the external Feb 3, 2020 · Writing unit tests is one of the essential tasks of designing a production-grade application. print(); // Get the max group number and range in each group to calculate average range // if group number start with 1 then the maximum of group number equals to the number of group // However, because this is the second sink, data will flow from source again, which will double the group number DataSet<Tuple2<Integer, Double>> rangeDS User-defined Sources & Sinks # Dynamic tables are the core concept of Flink’s Table & SQL API for processing both bounded and unbounded data in a unified fashion. Aug 4, 2023 · New connectors # We’re excited to announce that Apache Flink now supports three new connectors: Amazon DynamoDB, MongoDB and OpenSearch! The connectors are available for both the DataStream and Table/SQL APIs. option properties key description default value; MongoConnectorOptions. eventtime. We recommend you use the latest stable version. Modern Kafka clients are backwards compatible Jul 28, 2020 · Apache Flink 1. User-defined Sources & Sinks # Dynamic tables are the core concept of Flink’s Table & SQL API for processing both bounded and unbounded data in a unified fashion. common. SupportsDeletePushDown, org. The sink can use three different methods for communicating with different type of Redis environments: 1. The DataStream API offers the primitives of stream processing (namely time, state, and dataflow management) in a relatively low-level imperative programming API. DataStream Connectors # Predefined Sources and Sinks # A few basic data sources and sinks are built into Flink and are always available. A short intro Apache Kafka SQL Connector # Scan Source: Unbounded Sink: Streaming Append Mode The Kafka connector allows for reading data from and writing data into Kafka topics. During the migration of the Iceberg Sink to the new Flink Sink V2 API we found that the current WithPreCommitTopology interface is not sufficient for our use-case. Then, start a standalone Flink cluster within hadoop environment. context (none) String Version Compatibility: This module is compatible with InfluxDB 1. During restore Flink sink state is used to check if last commit was actually successful or not. kubernetes. Apache Ignite Flink Sink module is a streaming connector to inject Flink data into Ignite cache. toSchema(schema)) . Dependency # Apache Flink ships with a universal Kafka connector which attempts to track the latest version of the Kafka client. Results are returned via sinks, which may for example write the data to files, or to May 5, 2022 · Thanks to our well-organized and open community, Apache Flink continues to grow as a technology and remain one of the most active projects in the Apache community. x There is no connector (yet ORC Format. Dynamic Packages that use Sink ; Package Description; org. In particular, it marks the end of the community’s year-long effort to merge in the Blink SQL contribution from Alibaba. The sink base is designed to participate in checkpointing to provide at-least-once semantics and can work directly with destinations that provide a client that supports asynchronous requests. x <dependency> <groupId>org. Flink comes with a number of pre-implemented source functions, but you can always write your own custom sources by implementing the SourceFunction for non-parallel sources, or by implementing the ParallelSourceFunction interface or extending Nov 30, 2018 · The Apache Flink community is pleased to announce Apache Flink 1. X-Content-Type-Options = nosniff. Our sink implements the unified Sink API. 15, we are proud to announce a number of exciting changes. flink</groupId> <artifactId>flink-json</artifactId> <version>1. sink. 14. datastructures` package. */ default void Apache Kafka Connector # Flink provides an Apache Kafka connector for reading data from and writing data to Kafka topics with exactly-once guarantees. [sources/sinks]`, a parallel stack without affecting existing interfaces. A driver dependency is also required to connect It is possible to set HTTP headers that will be added to HTTP request send by lookup source connector. Context Elasticsearch Connector # This connector provides sinks that can request document actions to an Elasticsearch Index. Results are returned via sinks, which may for example write the data to files, or to Elasticsearch Connector # This connector provides sinks that can request document actions to an Elasticsearch Index. With Amazon Keyspaces you don’t have to provision, patch, or manage […] This documentation is for an out-of-date version of Apache Flink. Flink supports reading/writing JSON records via the JsonSerializationSchema This documentation is for an unreleased version of Apache Flink. . This connector provides a Source that parses the InfluxDB Line Protocol and a Sink that can write to InfluxDB. aws Caused by: java. 0! Feb 20, 2020 · Introduction # The recent Apache Flink 1. Amazon DynamoDB - This connector includes a sink that provides at-least-once delivery guarantees. 3. 16, Flink 1. One of the main concepts that makes Apache Flink stand out is the unification of batch (aka bounded) and stream (aka unbounded) data processing DataStream API Integration # Both Table API and DataStream API are equally important when it comes to defining a data processing pipeline. The connector can operate in upsert mode for exchanging UPDATE/DELETE messages with the external system using the Jan 8, 2024 · In Flink – there are various connectors available : Apache Kafka (source/sink) Apache Cassandra (sink) Amazon Kinesis Streams (source/sink) Elasticsearch (sink) Hadoop FileSystem (sink) RabbitMQ (source/sink) Apache NiFi (source/sink) Twitter Streaming API (source) To add Flink to our project, we need to include the following Maven dependencies : Oracle CDC Connector # The Oracle CDC connector allows for reading snapshot data and incremental data from Oracle database. external. 6</version> </dependency> Copied to clipboard! Note that the streaming connectors are currently NOT part of All Implemented Interfaces: org. Sink throughput is a crucial factor because it can determine the entire job’s throughput. x release), Flink 1. 15, Flink 1. You can follow the instructions here for setting up Flink. streaming. You can build applications using Java, Python, and Scala in Managed Service for Apache Flink using Apache Flink APIs in an IDE of your choice. As data flows through the datastream it eventually gets pushed into the sink through the use of one of Flink's connectors. To use it, add the following dependency to your project (along with your JDBC driver): <dependency> <groupId>org. In the following sections, we Sep 29, 2021 · The Apache Software Foundation recently released its annual report and Apache Flink once again made it on the list of the top 5 most active projects! This remarkable activity also shows in the new 1. Note that the streaming connectors are currently NOT part of the binary distribution. 13, Flink JDBC sink supports exactly-once mode. Release Highlights The community has added support for efficient batch execution in the DataStream API. 4. Dependencies # In order to setup the Oracle CDC connector, the following table provides dependency information for both projects using a build automation tool (such Oct 15, 2020 · Apache Flink’s checkpoint-based fault tolerance mechanism is one of its defining features. py and flink_fn_execution_pb2. In case if I will use sync client it will block sink and through back pressure Flink will block source. Generating Watermarks # In this section you will learn about the APIs that Flink provides for working with event time timestamps and watermarks. label-prefix--Y: The label prefix used by Stream load import. x May 3, 2019 · The open source data technology frameworks Apache Flink and Apache Pulsar can integrate in different ways to provide elastic data processing at large scale. On top of that, there is a plethora of Python-based data processing tools such as NumPy, Pandas, and Scikit-learn that have gained additional popularity due to Nov 17, 2021 · What is Sink File in Apache Flink? The actual word is File Sink, but I don’t want to mix File Sink with Streaming File Sink. 0. But for Flink-1. Motivation. Please check the complete changelog for more details. Connectors # This page describes how to use connectors in PyFlink and highlights the details to be aware of when using Flink connectors in Python programs. 1-1. Right? This is correct. File Sink # 这个连接器提供了一个在流和批模式下统一的 Sink 来将分区文件写入到支持 Flink FileSystem 接口的文件系统中，它对于流和批模式可以提供相同的一致性语义保证。File Sink 是现有的 Streaming File Sink 的一个升级版本，后者仅在流模式下提供了精确一致性。 File Sink 会将数据写入到桶中。由于输入 Flink InfluxDB Connector. Whenever flink-fn-execution. The basic functionality of these sinks is quite similar. The reason the community chose to spend so much time on the contribution is that SQL works. Flink generated Avro schemas can’t be parsed using Python # FLINK-2596 # Avro schemas generated by Flink now use the “org. 9. Flink can guarantee exactly-once state updates to user-defined state only when the source participates in the snapshotting Dec 21, 2023 · Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast). table. This blog post discusses the new developments and integrations between the two frameworks and showcases how you can leverage Pulsar’s built-in schema to query Pulsar streams in real time using Apache Flink. 0 is API-compatible with previous 1. x There is no connector (yet) available for Flink version 1. Instead, the content of a dynamic table is stored in external systems (such as databases, key-value stores, message queues) or files. apache. The repository name will be: flink-connector-prometheus. abilities. Flink natively supports Apache Kafka, Amazon Kinesis Data Streams, Elasticsearch, HBase, and many more destinations. Single Redis Server 2. Option Default Description; sink. Introduce the new connector interfaces in `org. This code shows how to create a sink that communicate to a single redis server: Dec 10, 2020 · The Apache Flink community is excited to announce the release of Flink 1. 10 release includes many exciting features. eventtime Intro to the Python DataStream API # DataStream programs in Flink are regular programs that implement transformations on data streams (e. Most drivers support XA if the database also supports XA (so the driver is usually the same). The latest release includes more than 420 resolved issues and some exciting additions to Flink that we describe in the following sections of this post. Introduce configurable RateLimitingStrategy for Async Sink # FLINK-28487 # Supports configurable RateLimitingStrategy for the Redis Sink. 11 the FileSystem SQL Connector is much improved; that will be an excellent solution for this use case. pyi by executing: python pyflink / gen_protos . Because of that design, Flink unifies batch and stream processing, can easily scale to both very small and extremely large scenarios and provides support for many operational features like stateful upgrades with state evolution or roll-backs and time-travel. These logs provide deep insights into the inner workings of Flink, and can be used to detect problems (in the form of WARN/ERROR messages) and can help in debugging them. We generally want the highest possible write rate in the sink without overloading the destination. Apache Flink also provides sinks for files and sockets, and you can implement custom sinks. Dependencies # In order to use the Kafka connector the following dependencies are required for both projects using a build automation tool (such as Maven or SBT) and SQL Client with Elasticsearch SQL Connector # Sink: Batch Sink: Streaming Append & Upsert Mode The Elasticsearch connector allows for writing into an index of the Elasticsearch engine. 11</artifactId> <version>1. Here, we explain important aspects of Flink’s architecture. The release Nov 23, 2022 · AWS has contributed the Async Sink to the Flink 1. The Flink project also publishes docker images to apache/flink DockerHub repository. Aug 4, 2020 · Python has evolved into one of the most important programming languages for many fields of data processing. amazonaws. Key Default Value Required Comment; sink. The connector operate in upsert mode if the primary key was defined, otherwise, the connector operate in append mode. This filesystem connector provides the same guarantees for both BATCH and STREAMING and it is an evolution of the existing Streaming File Sink which was designed for providing exactly-once semantics for STREAMING execution. y releases for APIs annotated with the @Public annotation. Such failures include machine hardware failures, network failures, transient program failures, etc. 2+). You need to link them into your job jar for cluster execution. Note that the streaming connectors are not part of the binary distribution of Flink. With the release of Flink 1. 13 (up to Hudi 0. This filesystem connector provides the same guarantees for both BATCH and STREAMING and is designed to provide exactly-once semantics for STREAMING execution. connectors. * @throws IOException if fail to add a watermark. 13. 0! When deploying the change with a checkpoint, Flink won't be able to restore the previous Flink sink operator state (more specifically the committer operator state). Update the first connectors such as Kafka, Hive and HBase to prove the new How to use logging # All Flink processes create a log text file that contains messages for various events happening in that process. header. 18</version In particular, Apache Flink’s user mailing list consistently ranks as one of the most active of any Apache project and a great way to get help quickly. transactionEnable: sink. transaction. The connector supports reading and writing a User-defined Sources & Sinks # Dynamic tables are the core concept of Flink’s Table & SQL API for processing both bounded and unbounded data in a unified fashion. connector. flink</groupId> <artifactId>flink-connector Version Compatibility: This module is compatible with Redis 2. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. To use this connector, add one of the following dependencies to your project. This is useful when the stream contains different event types and you want to store the respective documents in different Elasticsearch indexes. The JDBC connector allows for reading data from and writing data into any relational databases with a JDBC driver. The version of the client it uses may change between Flink releases. proto is updated, please re-generate flink_fn_execution_pb2. MongoDB SQL Connector # Scan Source: Bounded Lookup Source: Sync Mode Sink: Batch Sink: Streaming Append & Upsert Mode The MongoDB connector allows for reading data from and writing data into MongoDB. services. Nov 25, 2022 · Introduction # When designing a Flink data processing job, one of the key concerns is maximising job throughput. Dependencies # Maven dependency SQL Client <dependency> <groupId>org. sink; import org. Mate Czagany. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view. 7. SupportsOverwrite Jan 8, 2019 · The Flink APIs do not support extending the job graph beyond the sink(s). api. Right? Yes that is right. 16</version> </dependency> Copied to clipboard! 2. generated” namespace for compatibility with the Avro Python SDK. testframe. 5. Only available for stable versions. 19. This release brings many new Apache Kafka Connector # Flink provides an Apache Kafka connector for reading data from and writing data to Kafka topics with exactly-once guarantees. What is Apache Flink? — Architecture # Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Without tests, a single change in code can result in cascades of failure in production. Amazon Kinesis Data Streams SQL Connector # Scan Source: Unbounded Sink: Batch Sink: Streaming Append Mode The Kinesis connector allows for reading data from and writing data into Amazon Kinesis Data Streams (KDS). MongoDB connector - This connector includes a source and sink that provide at-least Jun 30, 2022 · August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. It preprocesses the data and seamlessly wraps these connectors to offer a unified sink interface for transferring data from Flink to Redshift. kt zr it ye uc aw aa gx jw nf