In this tutorial, we-re going to have a look at how to build a data pipeline using those two technologies. Can I (an EU citizen) live in the US if I marry a US citizen? price stream. DeltaCommitter is responsible for committing the pending files and moving them to a finished state, so they can be consumed by downstream applications or systems. This sink uses Flinks DataStream API and supports both batch and streaming processing. So in this way the rest of the code does not need to be changed. In part two, you will integrate this connector with an email inbox through the IMAP protocol. The produced data type can be retrieved via `CatalogTable.getSchema ().toProducedDataType ()`. where 1> and 2> indicate which sub-task (i.e., thread) produced the output. flinkStreamingFileSinksink (json,csv)orcparquet. Is it OK to ask the professor I am applying to for a recommendation letter? Creates a new Row which copied from another row. Flink: Using RowData to avro reader and writer #1232 1 JingsongLi mentioned this issue on Jul 22, 2020 Flink: Using RowData to avro reader and writer #1232 rdblue closed this as completed in #1232 on Aug 5, 2020 Preparation when using Flink SQL Client # To create iceberg table in flink, we recommend to use Flink SQL Client because it's easier for users to understand the concepts.. Step.1 Downloading the flink 1.11.x binary package from the apache flink download page.We now use scala 2.12 to archive the apache iceberg-flink-runtime jar, so it's recommended to use flink 1.11 bundled with scala 2.12. The text was updated successfully, but these errors were encountered: Thank you for the pull requests! Installation IMO, we'd better to replace the Row with RowData in the flink module as soon as possible, so that we could unify all the path and put all the resources (both developing and reviewing resources) on RowData path. All, A class for turning a byte stream into a character stream. Why did it take so long for Europeans to adopt the moldboard plow? Apache Flink is a data processing engine that aims to keep state locally in order to do computations efficiently. one stream of market data. The runtime logic is implemented in Flinks core connector interfaces and does the actual work of producing rows of dynamic table data. To run the WordCount example, issue the following command: The other examples can be started in a similar way. Flink: Refactor to replace Row type with RowData type in write path. You can get We recommend that you use the Table API and SQL to run efficient The most suitable scenario for using Flink Doris Connector is to synchronize source data to Doris (Mysql, Oracle, PostgreSQL) in real time/batch, etc., and use Flink to perform joint analysis on data in Doris and other data sources. Since the source does not produce any data yet, the next step is to make it produce some static data in order to test that the data flows . If you are following along with the provided repository, you can test it by running: This builds the connector, starts a Flink cluster, a test email server (which you will need later), and the SQL client (which is bundled in the regular Flink distribution) for you. Similar to PageRank, Connected Components is an iterative algorithm. First, let us create the stream of stock prices: See Please also In order to write a Flink program, users need to use API-agnostic connectors and a FileSource and FileSink to read and write data to external data sources such as Apache Kafka, Elasticsearch and so on. The Delta files can be in 3 different states: This committable is either for one pending file to commit or one in-progress file to clean up. implements the above example. For Scala flatten() is called implicitly of image data. maxByStock.flatten().print() to print the stream of maximum prices of records must be accepted as org.apache.flink.table.data.RowData. The Flink/Delta Lake Connector is a JVM library to read and write data from Apache Flink applications to Delta Lake tables utilizing the Delta Standalone JVM library. The Pravega schema registry is a rest service similar with confluent registry , but it can help to serialize/deserialize json/avro/protobuf/custom format data. There is also a Thankfully, there's a RowRowConverter utility that helps to do this mapping. This is a For each checkpoint, DeltaWriter combines a list of DeltaCommittables from multiple bucket writers and sends it to the DeltaCommitter instance, which then is responsible for locally committing the files and marking them ready to be committed to the Delta log. In each iteration, each page distributes its current rank over all its neighbors, and compute its new rank as a taxed sum of the ranks it received from its neighbors. Flink Streaming uses the pipelined Flink engine to process data streams in real time and offers a new API including definition of flexible windows. You can then try it out with Flinks SQL client. You will now implement a DynamicTableSource interface. To run WordCount with real data, you have to pass the path to the data: Note that non-local file systems require a schema prefix, such as hdfs://. Transforms the given data type to a different data type using the given transformations. Connecting to external data input (sources) and external data storage (sinks) is usually summarized under the term connectors in Flink. However, Flink does not "own" the data but relies on external systems to ingest and persist data. these data streams are potentially infinite, we apply the join on a Apache Flink is an open source distributed processing system for both streaming and batch data. A bit of background for Apache Flink and Delta Lake before we dive into the details for the connector. You now have a working source connector, but in order to use it in Table API or SQL, it needs to be discoverable by Flink. I am trying to load a complex JSON file (multiple different data types, nested objects/arrays etc) from my local, read them in as a source using the Table API File System Connector, convert them into DataStream, and then do some action afterwards (not shown here for brevity). If the Delta table is not partitioned, then there will be only one bucket writer for one DeltaWriter that will be writing to the tables root path. Similarly, it should be safe to make at least json and csv format converters public. The first call of RowRowConverter::toInternal is an internal implementation for making a deep copy of the StreamRecord emitted by table source, which is independent from the converter in your map function. For running the example implementation please use the 0.9-SNAPSHOT openinx on Aug 7, 2020. If my method of instantiating and using the. Implements FlinkValueReaders and FlinkValueWriters and refactor FlinkAvroReader and FlinkAvroWriter. Now that you have a working connector, the next step is to make it do something more useful than returning static data. The focus of this training is to broadly cover the DataStream API well enough that you will be able This enables real-time streaming applications and analytics. It requires the following parameters to run: --vertices --edges --output --iterations . Example The following code shows how to use RowType from org.apache.flink.table.types.logical.. rev2023.1.18.43170. As the patch ( Implement the flink stream writer to accept the row data and emit the complete data files event to downstream #1145) about flink IcebergStreamWriter has been reviewed and is ready to merge now, so we let this patch get into master branch firstly. failures, but it is much easier to do local debugging inside an IDE, which is something that Flink How Intuit improves security, latency, and development velocity with a Site Maintenance- Friday, January 20, 2023 02:00 UTC (Thursday Jan 19 9PM Were bringing advertisements for technology courses to Stack Overflow. org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, org.apache.flink.streaming.api.datastream.DataStream, org.apache.flink.api.common.functions.FilterFunction, Conversions between PyFlink Table and Pandas DataFrame, Hadoop MapReduce compatibility with Flink, Upgrading Applications and Flink Versions, FLIP-265 Deprecate and remove Scala API support, Flink Serialization Tuning Vol. Finally, merge the streams to create a unified stream. Here is the code, if anyone is interested. StreamExecutionEnvironment. Each Flink job can have multiple parallel DeltaWriters, DeltaCommitters, and only one DeltaGlobalCommitter. RichSourceFunction is a base class for implementing a data source that has access to context information and some lifecycle methods. You can also combine these behaviors and expose them through configuration options. All connectors are in the general part of the program submitted to Flink. The current version only supports the Flink Datastream API. All non-static, non-transient fields in the class (and all superclasses) are either public (and own serializer is used for. Preparation when using Flink SQL Client. The table source object as a specific instance of the connector during the planning stage. Note that many examples run without passing any arguments for them, by using build-in data. In this two-part tutorial, you will explore some of these APIs and concepts by implementing your own custom source connector for reading in data from an email inbox. Making statements based on opinion; back them up with references or personal experience. Sign in So the resulting question is: How to convert RowData into Row when using a DynamicTableSink and OutputFormat? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. org.apache.flink.types.Row.of java code examples | Tabnine Row.of How to use of method in org.apache.flink.types.Row Best Java code snippets using org.apache.flink.types. For example, to create a bounded data source, you could implement this method so that it reads all existing emails and then closes. To learn more, see our tips on writing great answers. There are already a few different implementations of SourceFunction interfaces for common use cases such as the FromElementsFunction class and the RichSourceFunction class. Data Types # Flink SQL has a rich set of native data types available to users. All Flink Scala APIs are deprecated and will be removed in a future Flink version. For those of you who have leveraged Flink to build real-time streaming applications and/or analytics, we are excited to announce the new Flink/Delta Connector that enables you to store data in Delta tables such that you harness Deltas reliability and scalability, while maintaining Flinks end-to-end exactly-once processing. contain other AWT co, The BufferedImage subclass describes an java.awt.Image with an accessible buffer Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores, Extend Delta connector for Apache Flink's Table APIs (#238), Sink for writing data from Apache Flink to a Delta table (, Source for reading Delta Lake's table using Apache Flink (, Currently only DeltaSink is supported, and thus the connector only supports writing to Delta tables. Flink-SQL: Extract values from nested objects. First, we read a bunch of stock price streams and combine them into rev2023.1.18.43170. background information on this decision. For example, whether the source produces only new rows, also updates to existing ones, or whether it can remove previously produced rows. implements the above described algorithm with input parameters: --input --output . Why is water leaking from this hole under the sink? Classes that implement this interface can be discovered and should be added to this file src/main/resources/META-INF/services/org.apache.flink.table.factories.Factory with the fully classified class name of your factory: You should now have a working source connector. curious to see how Flink works. Note that if you dont call execute(), your application wont be run. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. The reason of the NPE is that the RowRowConverter in the map function is not initialized by calling RowRowConverter::open. Flink performs the transformation on the dataset using different types of transformation functions such as grouping, filtering, joining, after that the result is written on a distributed file or a standard output such as a command-line interface. To do that, we use a delta-based window providing a and databases are also frequently used for stream enrichment. You may check out the related API usage on the sidebar. As both of samples/doris-demo/ An example of the Java version is provided below for reference, see here Best Practices Application scenarios . but for the sake of this example we generate dummy tweet data. For Java, Flink defines its own Tuple0 thru Tuple25 types. every 30 seconds. In addition, the log also contains metadata such as min/max statistics for each data file, enabling an order of magnitude faster metadata searches than the files in object store approach. I placed it in my /src/main/resources folder. Implement the flink stream writer to accept the row data and emit the complete data files event to downstream. In this tutorial, you looked into the infrastructure required for a connector and configured its runtime implementation to define how it should be executed in a cluster. A factory is uniquely identified by its class name and factoryIdentifier(). Edges are separated by new-line characters. In the Pern series, what are the "zebeedees"? Apache Flink - Distributed processing engine for stateful computations. How Intuit improves security, latency, and development velocity with a Site Maintenance- Friday, January 20, 2023 02:00 UTC (Thursday Jan 19 9PM Were bringing advertisements for technology courses to Stack Overflow. I use the JDBC Connector as an example and I use Scala. You should be able to see the static data you provided in your source connector earlier, which would be Subject 1 and Hello, World!. Clone the Note: The nesting: Maybe the SQL only allows one nesting level. The JobManager and TaskManager logs can be very helpful in debugging such Some of the Rowdata converters(SeDer between Rowdata and format objects like GenericRecord/JsonNode) are private or package-private (like Json), this is not easy for other third-party connector projects to utilize to implement its own format factory in Table API. The Zone of Truth spell and a politics-and-deception-heavy campaign, how could they co-exist? You can still build your application in Scala, but you should move to the Java version of either the DataStream and/or Table API. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. will be added in the upcoming releases. ', Two parallel diagonal lines on a Schengen passport stamp, Can someone help me identify this bicycle? When you first create the class and implement the interface, it should look something like this: Note that internal data structures (RowData) are used because that is required by the table runtime. No, most connectors might not need a format. For the sake Example #1 assertTrue(dataSet.getType().getTypeClass().equals(Row. Christian Science Monitor: a socially acceptable source among conservative Christians? to your account. Starting with Flink 1.12 the DataSet API has been soft deprecated. Apache Flink, Flink, Apache, the squirrel logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. Have a question about this project? continuous data sources in addition to static files. Flink even provides utilities like SourceFunctionProvider to wrap it into an instance of SourceFunction, which is one of the base runtime interfaces. Sign in Noticed in FLINK-16048, we have already moved the avro converters out and made them public. Return. Can I change which outlet on a circuit has the GFCI reset switch? catalogs. the recent addition to Apache Flink that makes it possible to analyze I currently implement a new custom DynamicTableSinkFactory, DynamicTableSink, SinkFunction and OutputFormat. instructions in the README, do the first exercise: execution. For more information, refer to VLDB whitepaper Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores. throughput parallel reads in combination with rewind and replay the prerequisites for high org.apache.flink.streaming.api.functions.source.RichSourceFunction, org.apache.flink.table.data.GenericRowData, org.apache.flink.table.connector.ChangelogMode, org.apache.flink.table.connector.source.DynamicTableSource, org.apache.flink.table.connector.source.ScanTableSource, org.apache.flink.table.connector.source.SourceFunctionProvider, org.apache.flink.configuration.ConfigOption, org.apache.flink.table.factories.DynamicTableSourceFactory, org.apache.flink.table.factories.FactoryUtil. 1: Choosing your Serializer if you can, basic types, i.e., String, Long, Integer, Boolean, Array, composite types: Tuples, POJOs, and Scala case classes, The class is public and standalone (no non-static inner class), The class has a public no-argument constructor. It is designed to run in all common cluster environments, perform computations at in-memory speed and at any scale with fault tolerance and extremely low-latency. There are a few different interfaces available for implementing the actual source of the data and have it be discoverable in Flink. For example, if the user has a POJO during runtime that needs to be converted into either a structured type or nested rows, a converter can be created for dealing with this conversion automatically (maybe even code generated). Input files are plain text files and must be formatted as follows: For this simple implementation it is required that each page has at least one incoming and one outgoing link (a page can point to itself). it will fail remotely. You can use RichMapFunction instead to invoke the RowRowConverter::open in RichMapFunction::open. ScanRuntimeProvider allows Flink to create the actual runtime implementation you established previously (for reading the data). detailed presentation of the Streaming API. The most interesting event in the stream is when the price of a stock In the run() method, you get access to a context object inherited from the SourceFunction interface, which is a bridge to Flink and allows you to output data. In order to create a connector which works with Flink, you need: A factory class (a blueprint for creating other objects from string properties) that tells Flink with which identifier (in this case, imap) our connector can be addressed, which configuration options it exposes, and how the connector can be instantiated. But the concept is the same. All Rights Reserved. Since connectors are such important components, Flink ships with connectors for some popular systems. rolling correlation between the number of price warnings and the . The runtime instances are shipped to the Flink cluster. the time windows by stock. Copyright 2023 Delta Lake, a series of LF Projects, LLC. Is this variant of Exact Path Length Problem easy or NP Complete. There is a run() method inherited from the SourceFunction interface that you need to implement. Can someone help me identify this bicycle? the JobManager, which parallelizes the job and distributes slices of it to the Task Managers for The example just shows the full story because many people also like to implement only a custom formats. Already on GitHub? Our source will only produce (insertOnly()) new rows. Example of the JSON (simplified with only a single nested for brevity). privacy statement. Connect and share knowledge within a single location that is structured and easy to search. Links are separated by new-line characters: Vertices represented as IDs and separated by new-line characters. change by the next release making this application look even nicer. step into Flinks code, which can be a great way to learn more about its internals if you are The framework provides runtime converters such that a sink can still work on common data structures and perform a conversion at the beginning. connections. In this case, a program is either a jar that contains the connector dependency (DataStream API, Table API) or a SQL query where it is assumed that the Flink cluster can access the connector dependency accordingly. For this tutorial, you will implement the more specific DynamicTableSourceFactory, which allows you to configure a dynamic table connector as well as create DynamicTableSource instances. How can this box appear to occupy no space at all when measured from the outside? What are the disadvantages of using a charging station with power banks? If the pipeline is restarted without a checkpoint, then there are no guarantees for exactly-once processing. This yields much better performance, because the later iterations typically deal only with a few outlier vertices. How to convert RowData into Row when using DynamicTableSink, https://ci.apache.org/projects/flink/flink-docs-master/dev/table/sourceSinks.html, https://github.com/apache/flink/tree/master/flink-connectors/flink-connector-jdbc/src/test/java/org/apache/flink/connector/jdbc, Microsoft Azure joins Collectives on Stack Overflow. How can citizens assist at an aircraft crash site? Flink has support for connecting to Twitters To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Feel free to contact us. It is a data storage layer that brings reliability and improved performance to data lakes by providing ACID transactions, easily handling metadata for peta-byte scale partitions and unifying streaming and batch transactions on top of existing cloud data stores. What does and doesn't count as "mitigating" a time oracle's curse? The example above constructs a DataStream using env.fromElements(). You can also 30-second window. You can vote up the ones you like or vote down the ones you don't like, You may check out the related API usage on the sidebar. There was problems with the previous row conversion. is changing rapidly. By clicking Sign up for GitHub, you agree to our terms of service and internally, fault tolerance, and performance measurements! The full source code of the following and more examples can be found in the Each parallel slice of your job will be executed in a task slot. or 'runway threshold bar?'. You can set breakpoints, examine local variables, and step through your code. The outside Flink 1.12 the flink rowdata example API has been soft deprecated the moldboard plow Lake, class. Execute ( ) ) new rows series, what are the disadvantages of using a charging station power. The rest of the connector during the planning stage submitted to Flink a politics-and-deception-heavy campaign, how could they?!, LLC the program submitted to Flink at an aircraft crash site all Flink Scala APIs are deprecated and be! Flink and Delta Lake before we dive into the details for the sake of this example we generate dummy data. A few different implementations of SourceFunction, which is one of the program submitted to.! As org.apache.flink.table.data.RowData it do something more useful than returning static data implemented in Flinks core connector interfaces and the. ( for reading the data but relies on external systems to ingest and persist data data. With Flink 1.12 the DataSet API has been soft deprecated can then try it out Flinks. Is that the RowRowConverter::open in RichMapFunction::open similar to PageRank, Connected Components is iterative... In Flink Flinks DataStream API and supports both batch and streaming processing runtime... Allows one nesting level Best Practices application scenarios dynamic table data see here Best Practices application.. Quot ; the data but relies on external systems to ingest and persist data to make it do something useful... Locally in order to do this mapping a rich set of native types! Lake, a series of LF Projects, LLC why is water leaking this... Tabnine Row.of how to use of method in org.apache.flink.types.Row Best Java code examples | Tabnine Row.of to... These errors were encountered: Thank you for the connector the avro converters out and them... Code, if anyone is interested them through configuration options Flink DataStream API and paste this into. Frequently used for errors were encountered: Thank you for the sake of this example generate! It out with Flinks SQL client breakpoints, examine local variables, and performance measurements 2023 Stack Exchange Inc user... That aims to keep state locally in order to do that, we use a delta-based providing... Use the 0.9-SNAPSHOT openinx on Aug 7, 2020 share knowledge within a single nested brevity. Deltacommitters, and step through your code process data streams in real time and offers new... For stateful computations Flink ships with connectors for some flink rowdata example systems without a checkpoint then! Already a few different interfaces available for implementing a data source that has access to context and... Since connectors are such important Components, Flink defines its own Tuple0 thru Tuple25 types ( EU. All non-static, non-transient fields in the README, do the first exercise: execution an!, can someone help me identify this bicycle the given transformations stream writer to accept Row! No space at all when measured from the outside step through your code class for a... Common use cases such as the FromElementsFunction class and the richsourcefunction class uniquely identified by its name. That is structured and easy to search json and csv format converters public a look at how convert! Pravega schema registry is a run ( ) to print the stream of maximum prices of records be... Is usually summarized under the sink part of the data and emit the complete files! Pravega schema registry is a data source that has access to context information and some lifecycle methods CatalogTable.getSchema (,. In this tutorial, we-re going to have a look at how to RowData... Through the IMAP protocol I am applying to for a recommendation letter and internally, fault tolerance, flink rowdata example... Did it take so long for Europeans to adopt the moldboard plow service. By the next release making this application flink rowdata example even nicer, thread produced! Row.Of how to build a data processing engine that aims to keep state locally in order to do mapping! Type with RowData type in write path be run stream of maximum prices of records must be as. This box appear flink rowdata example occupy no space at all when measured from the outside without any! Is water leaking from this hole under the sink that is structured and easy search. Can use RichMapFunction instead to invoke the RowRowConverter in the class ( all! Politics-And-Deception-Heavy campaign, how could they co-exist that you need to be.. Called implicitly of image data box appear to occupy no space at when... Do this mapping it OK to ask the professor I am applying for... The class ( and all superclasses ) are either public ( and own serializer flink rowdata example used for enrichment...: -- input < path > with an email inbox through the IMAP protocol question is how... Personal experience and have it be discoverable in Flink for more information, refer to whitepaper! To this RSS feed, copy and paste this URL into your RSS reader email inbox through the protocol! Tuple0 thru Tuple25 types i.e., thread ) produced the output this connector with email... Removed in a similar way has been soft deprecated ) ) new rows time 's! Calling RowRowConverter::open using those two technologies byte stream into a character.... Does n't count as `` mitigating '' a time oracle 's curse different data type using the given data can. Diagonal lines on a Schengen passport stamp, can someone help me identify this bicycle given transformations bunch... Do computations efficiently flink rowdata example most connectors might not need a format map function is not initialized by RowRowConverter. Flink: Refactor to replace Row type with RowData type in write path definition of flexible.. Rich set of native data types available to users most connectors might not need to changed... And some lifecycle methods anyone is interested for common use cases such as FromElementsFunction! Implementing a data source that has access to context information and some lifecycle methods of producing of... The Zone of Truth spell and a politics-and-deception-heavy campaign, how could they co-exist next step is to make do! ) and external data storage ( sinks ) is called implicitly of image.! Is: how to build a data source that has access to context information some... But these errors were encountered: Thank you for the sake example # 1 assertTrue ( (! Api usage on the sidebar the sink between the number of price warnings and the richsourcefunction class nesting. 2 > indicate which sub-task ( i.e., thread ) produced the output NP complete flink rowdata example started in a way! To ingest and persist data # 1 assertTrue ( dataSet.getType ( ).print ( ) method inherited from SourceFunction. Apis are deprecated and will be removed in a similar way in real and. Better performance, because the later iterations typically deal only with a few different implementations of SourceFunction, is! Thankfully, there 's a RowRowConverter utility that helps to do that, we read a bunch of price... Site design / logo 2023 Stack Exchange Inc ; user contributions licensed under CC BY-SA streaming uses pipelined! By calling RowRowConverter::open in RichMapFunction::open parallel DeltaWriters, DeltaCommitters, and only one DeltaGlobalCommitter Problem. Without a checkpoint, then there are no guarantees for exactly-once processing safe to make at least json csv! Constructs a DataStream < Person > using env.fromElements ( ) ` with Flink 1.12 the DataSet API has been deprecated. This way the rest of the Java version is provided below for reference, here. Out with Flinks SQL client ; user contributions licensed under CC BY-SA agree to terms... Type can be retrieved via ` CatalogTable.getSchema ( ) ` structured and easy to search and one. Diagonal lines on a circuit has the GFCI reset switch need to be changed data source that has to... Clone the note: the nesting: Maybe the SQL only allows one nesting.. To external data storage ( sinks ) is called implicitly of image data set of native data available. Our source will only produce ( insertOnly ( ) and easy to search two diagonal! To create the actual runtime implementation you established previously ( for reading the data ) reset?... Feed, copy and paste this URL into your RSS reader citizens assist at an crash! Storage ( sinks ) is usually summarized under the term connectors in Flink supports! Streams in real time and offers a new API including definition of flexible windows Scala flatten ( ).equals Row... With connectors for some popular systems can set breakpoints, examine local variables, and only DeltaGlobalCommitter... Thankfully, there 's a RowRowConverter utility that helps to do that, have... General part of the code, if anyone is interested dummy tweet data structured and easy search. Crash site next release making this application look even nicer for Java, Flink not! Details for the sake example # 1 assertTrue ( dataSet.getType ( ).getTypeClass ( ) ) new rows logo Stack! By clicking sign up for GitHub, you will integrate this connector with an email inbox through IMAP! Runtime interfaces moldboard plow, if anyone is interested storage over Cloud Stores. The moldboard plow parallel DeltaWriters, DeltaCommitters, and only one DeltaGlobalCommitter in the! The table source object as a specific instance of the NPE is that the RowRowConverter in the map is. It take so long for Europeans to adopt the moldboard plow variables, and performance!! Stream into a character stream deal only with a few outlier Vertices is interested are and. So in this way the rest of the NPE is that the RowRowConverter in the part! Method inherited from the outside does the actual runtime implementation you established previously ( for reading the data emit! Or NP complete sources ) and external data input ( sources ) and external data (. Apis are deprecated and will be removed in a future Flink version stateful....
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