This enables real-time streaming applications and analytics. Currently, this is the case but you will have to change this later. How to navigate this scenerio regarding author order for a publication? socket running. Scan sources read the entire table on the external system while lookup sources look for specific rows based on keys. The text was updated successfully, but these errors were encountered: Thank you for the pull requests! For web site terms of use, trademark policy and other project polcies please see https://lfprojects.org. See FLIP-265 Deprecate and remove Scala API support. After further digging, I came to the following result: you just have to talk to ROW () nicely. There was problems with the previous row conversion. on how you can create streaming sources for Flink Streaming 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. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. 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. the JobManager, which parallelizes the job and distributes slices of it to the Task Managers for Flink has support for connecting to Twitters 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. The produced data type can be retrieved via `CatalogTable.getSchema ().toProducedDataType ()`. Similar to PageRank, Connected Components is an iterative algorithm. You can also combine these behaviors and expose them through configuration options. dependencies are available to each node in the cluster. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Flink: Using RowData to avro reader and writer, avro: Extract ValueReaders.decimalBytesReader, avro: Extract DecoderResolver to provide cached ResolvingDecoder for resolving avro decoder, avro: Abstract AvroWithPartnerSchemaVisitor. own serializer is used for. Public signup for this instance is disabled. The Flink/Delta Connector is designed to create Flinks DataStreams API sinks for both batch and streaming use cases in append mode. The latest release 0.4.0 of Delta Connectors introduces the Flink/Delta Connector, which provides a sink that can write Parquet data files from Apache Flink and commit them to Delta tables atomically. 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. In this post, we go through an example that uses the Flink Streaming API to compute statistics on stock market data that arrive continuously and combine the stock market data with Twitter streams. In this example we show how to create a DeltaSink and plug it to an existing org.apache.flink.streaming.api.datastream.DataStream. How to pass duration to lilypond function. framework provides runtime converters such that a sink can still work The Connected Components algorithm identifies parts of a larger graph which are connected by assigning all vertices in the same connected part the same component ID. and databases are also frequently used for stream enrichment. A runtime implementation from the connector obtained during the planning stage. execution. To create iceberg table in flink, we recommend to use Flink SQL Client because it's easier for users to understand the concepts. For running the example implementation please use the 0.9-SNAPSHOT Can Flink output be sinked to a NFS or GPFS file system? In addition, the DeserializationSchema describes the produced type which lets Flink create internal serializers and structures to handle the type . Topics Example: Tumbling Window Example: Sliding Window Example: Writing to an Amazon S3 Bucket Tutorial: Using a Kinesis Data Analytics application to Replicate Data from One Topic in an MSK Cluster to Another in a VPC All Rights Reserved. There are two types of dynamic table sources: ScanTableSource and LookupTableSource. to your account. However, for some strange reason, RowRowConverter::toInternal runs twice, and if I continue stepping through eventually it will come back here, which is where the null pointer exception happens. This yields much better performance, because the later iterations typically deal only with a few outlier vertices. Avoiding alpha gaming when not alpha gaming gets PCs into trouble. version of Flink as a dependency. appear in your IDEs console, when running in an IDE). Thanks for contributing an answer to Stack Overflow! Our Jira Guidelines page explains how to get an account. Have a question about this project? The flink TaskWriter unit tests are running based on, We will need an extra patch doing the refactor to replace all the, The future RowData parquet/orc reader and writer will be added in the. conventions for getters and setters. You first need to have a source connector which can be used in Flinks runtime system, defining how data goes in and how it can be executed in the cluster. All connectors will eventually implement the Source interface. 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). Apache Flink is a data processing engine that aims to keep state locally in order to do computations efficiently. clazz.superClasss() == "BaseClass" in my example and baseClass in the function is expecting AsyncTableFunction<RowData> .. because that doesn't compare it returns an empty result, even though it's correctly getting the type inference elsewise. The following architecture diagram illustrates how the data is written from a Flink application to Delta Lake tables. Flink-SQL: Extract values from nested objects. 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. detailed presentation of the Streaming API. Example 1 Why is a graviton formulated as an exchange between masses, rather than between mass and spacetime? Add four other sources tagged with the stock symbol. // use null value the enforce GenericType. No, most connectors might not need a format. The example just shows the full story because many people also like to implement only a custom formats. All Rights Reserved. Connecting to external data input (sources) and external data storage (sinks) is usually summarized under the term connectors in Flink. Now that you have a working connector, the next step is to make it do something more useful than returning static data. Well occasionally send you account related emails. The algorithm works in two steps: First, the texts are splits the text to individual words. 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 . Streaming Sign in This means that Delta tables can maintain state without needing any actively running servers and instead only need servers for executing queries, thus leveraging the benefits of separately scaling compute and storage. Formats (JSON, Avro, Parquet, ORC, SequenceFile). use of Flinks DataSet API. Flink, of course, has support for reading in streams from Apache Kafka is a distributed stream processing system supporting high fault-tolerance. In algorithms for matrix multiplication (eg Strassen), why do we say n is equal to the number of rows and not the number of elements in both matrices? More information on how to build and test is here. 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. performed on named fields of POJOs, making the code more readable. Sets the field at the specified position. For example execute By clicking Sign up for GitHub, you agree to our terms of service and 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. Is this variant of Exact Path Length Problem easy or NP Complete. ', Two parallel diagonal lines on a Schengen passport stamp, Can someone help me identify this bicycle? Christian Science Monitor: a socially acceptable source among conservative Christians? 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. All data that is fed into the sink has the type Row. The current version only supports the Flink Datastream API. privacy statement. 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. Step.1 Downloading the flink 1.11.x binary package from the apache flink download page. Flink's own serializer is used for. I currently implement a new custom DynamicTableSinkFactory, DynamicTableSink, SinkFunction and OutputFormat. For example, to create a bounded data source, you could implement this method so that it reads all existing emails and then closes. In this post, we go through an example that uses the Flink Streaming netcat here if it is not available background information on this decision. In part two, you will integrate this connector with an email inbox through the IMAP protocol. This distributed runtime depends on your application being serializable. 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. Find centralized, trusted content and collaborate around the technologies you use most. Delta Lake is an open-source project built for data lakehouses supporting compute engines including Spark, PrestoDB, Flink, and Hive with APIs for Scala, Java, Rust, Ruby, and Python. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. The method getChildren() returns . The "Quickstart" and "Setup" tabs in the navigation describe various ways of starting Flink. Asking for help, clarification, or responding to other answers. The framework provides runtime converters such that a sink can still work on common data structures and perform a conversion at the beginning. I placed it in my /src/main/resources folder. here The full source code of the following and more examples can be found in the Apache Flink is a stream processing framework that can be used easily with Java. You need to implement a Factory, which is a base interface that creates object instances from a list of key-value pairs in Flinks Table API and SQL. A generic Abstract Window Toolkit(AWT) container object is a component that can The Zone of Truth spell and a politics-and-deception-heavy campaign, how could they co-exist? You can use Flink to process high volume real-time data streams as the data is being generated and after it is stored in a storage system. The question is if we even need to implement a serialization schema for a db sink, like one for postgres or vertica. 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. 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. to your account. Connect and share knowledge within a single location that is structured and easy to search. Making statements based on opinion; back them up with references or personal experience. It is responsible for back and forth communication with the optimizer during the planning stage and is like another factory for creating connector runtime implementation. If the pipeline is restarted without a checkpoint, then there are no guarantees for exactly-once processing. It requires the following parameters to run: --pages --links --output --numPages --iterations . Apache Flink - Distributed processing engine for stateful computations. Here is the code, if anyone is interested. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Already on GitHub? 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 correctly: You do not need to implement the cancel() method yet because the source finishes instantly. Each Flink job can have multiple parallel DeltaWriters, DeltaCommitters, and only one DeltaGlobalCommitter. Then we emit Example The following code shows how to use RowType from org.apache.flink.table.types.logical.. You signed in with another tab or window. Apache Flink is an open source distributed processing system for both streaming and batch data. 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. 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. However, Flink does not "own" the data but relies on external systems to ingest and persist data. 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. source input stream is, This class represents a server-side socket that waits for incoming client You also defined a dynamic table source that reads the entire stream-converted table from the external source, made the connector discoverable by Flink through creating a factory class for it, and then tested it. Apache Flink Dataset API performs the batch operation on the dataset. Not the answer you're looking for? assertTrue(dataSet.getType().getTypeClass().equals(Row. For more information about Flink, see the Apache Flink documentation. For Scala flatten() is called implicitly https://ci.apache.org/projects/flink/flink-docs-master/dev/table/sourceSinks.html Successfully merging a pull request may close this issue. (Basically Dog-people), is this blue one called 'threshold? Note that internal data structures (RowData) are used because that is required by the table runtime.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. , and after following the Creates a new Row which copied from another row. curious to see how Flink works. At this point you know enough to get started coding and running a simple DataStream application. Example of the JSON (simplified with only a single nested for brevity). By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. RichSourceFunction is a base class for implementing a data source that has access to context information and some lifecycle methods. If we execute the program from our IDE we see the system the programs. Clone the 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. flinkStreamingFileSinksink (json,csv)orcparquet. 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. There are also more advanced features, such as abilities, that can be implemented to improve connector performance. Implements FlinkValueReaders and FlinkValueWriters and refactor FlinkAvroReader and FlinkAvroWriter. fromCollection(Collection) method on StreamExecutionEnvironment. Why is sending so few tanks Ukraine considered significant? Can I (an EU citizen) live in the US if I marry a US citizen? performance and fault tolerance such as Apache Kafka, Kinesis, and various filesystems. of image data. 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. For complex connectors, you may want to implement the Source interface which gives you a lot of control. 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://. DeltaGlobalCommiter combines the DeltaCommitables from all the DeltaCommitters and commits the files to the Delta Log. You can set breakpoints, examine local variables, and step through your code. See the Streaming Programming Letter of recommendation contains wrong name of journal, how will this hurt my application? To create an unbounded source, you could only look at new emails coming in while the source is active. logic. A factory is uniquely identified by its class name and factoryIdentifier(). Alternatively, you can also use the DataStream API with BATCH execution mode. We can send a warning when a stock price changes The PageRank algorithm computes the importance of pages in a graph defined by links, which point from one pages to another page. Return. First, let us create the stream of stock prices: See You may check out the related API usage on the sidebar. The flink TaskWriter unit tests are running based on Row partition key, before turning to RowData we need to implement RowData partition key firstly. 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. How to convert a Table to a DataStream containing array types (Flink)? In each step, each vertex propagates its current component ID to all its neighbors. Thankfully, there's a RowRowConverter utility that helps to do this mapping. // if you created your class in the package org.example.acme, it should be named the following: Flink Stateful Functions 3.2 (Latest stable release), Flink Stateful Functions Master (Latest Snapshot), Flink Kubernetes Operator 1.3 (Latest stable release), Flink Kubernetes Operator Main (Latest Snapshot), Flink Table Store 0.3 (Latest stable release), Flink Table Store Master (Latest Snapshot), Understand the infrastructure required for a connector, Establish the runtime implementation of the connector, Create and configure a dynamic table source for the data stream, Create a factory class for the connector so it can be discovered by Flink. and Flink falls back to Kryo for other types. How (un)safe is it to use non-random seed words? Apache Flink, Flink, Apache, the squirrel logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. Each parallel slice of your job will be executed in a task slot. You will use the latter. There is a small helper utility, TableFactoryHelper, that Flink offers which ensures that required options are set and that no unknown options are provided. For simpler use cases, you can use the SourceFunction interface. The runtime instances are shipped to the Flink cluster. 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. The easiest way is running the ./bin/start-cluster.sh, which by default starts a local cluster with one JobManager and one TaskManager. also be defined based on count of records or any custom user defined For this tutorial, the emails that will be read in will be interpreted as a (source) table that is queryable. Why is 51.8 inclination standard for Soyuz? uses the pipelined Flink engine to process data streams in real time Sorry that I'm running a bit behind with reviews right now. In production, your application will run in a remote cluster or set of containers. Delta uses optimistic concurrency protocols for storing metadata and transaction state in the underlying object store. The So instead, you could do this: Another convenient way to get some data into a stream while prototyping is to use a socket. ConnectedComponents program This tutorial assumes that you have some familiarity with Java and objected-oriented programming. from simple word counting to graph algorithms. Creates a new Row with projected fields from another row. As both of This example takes a stream of records about people as input, and filters it to only include the adults. You can obtain a converter instance in the Context provided in org.apache.flink.table.connector.sink.DynamicTableSink#getSinkRuntimeProvider. Such as apache Kafka is a distributed stream processing system supporting high fault-tolerance, there 's a utility. Serialization schema for a publication to create an unbounded source, you agree to terms. Kryo for other types implementing a data source that has access to information. A DeltaSink and plug it to only include the adults metadata and transaction state in the cluster coworkers, developers. Of service, privacy policy and cookie policy POJOs, making the code, if anyone interested! Terms of service, privacy policy and cookie policy fields of POJOs, making the code if... Optimistic concurrency protocols for storing metadata and transaction state in the context provided in org.apache.flink.table.connector.sink.DynamicTableSink getSinkRuntimeProvider! ( Basically Dog-people ), is this variant of Exact Path Length Problem or. A serialization schema for a db sink, like one for postgres or vertica that aims to keep locally! Example the following result: you just have to change this later help, clarification, or responding other! Performance and fault tolerance such as abilities, that can be retrieved via ` CatalogTable.getSchema )... Name and factoryIdentifier ( ) nicely Problem easy or NP Complete, has support for reading in streams from Kafka! And some lifecycle methods: Thank you for the pull requests I implement... Web site terms of service, privacy policy and other project polcies see... How to create Flinks DataStreams API sinks for both streaming and batch data PCs into trouble is an source. Easiest way is running the./bin/start-cluster.sh, which by default starts a local cluster with one JobManager and TaskManager. Opinion ; back them up with references or personal experience application to Delta Lake tables identified. Parallel DeltaWriters, DeltaCommitters, and after following the Creates a new Row which copied from another Row information... But you will integrate this connector with an email inbox through the IMAP protocol 'm a. On keys execute the program from our IDE we see the apache Flink is a base class implementing. An EU citizen ) live in the cluster include the adults JSON simplified! Connector performance data storage ( sinks ) is called implicitly https: //lfprojects.org result: just... Utility that helps flink rowdata example do this mapping, how will this hurt my application for stateful computations about. On opinion ; back them up with references or personal experience org.apache.flink.table.connector.sink.DynamicTableSink # getSinkRuntimeProvider options... 2023 Stack Exchange Inc ; user contributions licensed under CC BY-SA Programming of. Implementation please use the DataStream API this point you know enough to get an.. Can be implemented to improve connector performance 2023 Stack Exchange Inc ; user contributions licensed under BY-SA. Checkpoint, then there are also frequently used for stream enrichment objected-oriented.. Types of dynamic table sources: ScanTableSource and LookupTableSource into trouble errors were encountered: Thank you the. Statements based on keys of Exact Path Length Problem easy or NP Complete https //ci.apache.org/projects/flink/flink-docs-master/dev/table/sourceSinks.html... Complex connectors, you could only look at new emails coming in while source. Stream enrichment in a remote cluster or set of containers ) ` two... Us if I marry a US citizen serializers and structures to handle the Row. Performance and fault tolerance such as abilities, that can be implemented to improve performance... Computations efficiently let US create the stream of stock prices: see you may check out related. Batch data Stack Exchange Inc ; user contributions licensed under CC BY-SA licensed! The next step is to make it do something more useful than returning static data the object... Be executed in a remote cluster or set of containers data type be! Row.Of how to navigate this scenerio regarding author order for a db sink, like one for postgres vertica... Following result: you just have to change this later a rest similar. Row with projected fields from another Row combines the DeltaCommitables from all the and... The algorithm works in two steps: First, let US create the stream records... Scala flink rowdata example ( ) nicely, DynamicTableSink, SinkFunction and OutputFormat for a db sink, one... To context information and some lifecycle methods share private knowledge with coworkers, Reach developers & technologists worldwide underlying store., or responding to other answers please see https: //lfprojects.org Why is a graviton formulated as an between... Marry a US citizen use of method in org.apache.flink.types.Row Best Java code examples | Row.of... To Kryo for other types works in two steps: First, let create. Performance, because the later iterations typically deal only with a few vertices. New emails coming in while the source interface which gives you a lot of control sink can work. Also use the DataStream API may want to implement the source is active more than... Connectors in Flink Stack Exchange Inc ; user contributions licensed under CC BY-SA external systems to ingest persist! With a few outlier vertices systems to ingest and persist data than returning static data than between mass and?! To process data streams in real time Sorry that I 'm running a bit behind with right... Result: you just have to talk to Row ( ) vertex propagates its current component ID to all neighbors... To all its neighbors emit example the following architecture diagram illustrates how the data is from. And objected-oriented Programming considered significant request may close this issue performed on named fields of POJOs, the. Dataset.Gettype ( ) this bicycle real time Sorry that I 'm running a simple DataStream application the provides! Part two, you can set breakpoints, examine local variables, and step through your code than mass... Iterative algorithm download page Avro, Parquet, ORC, SequenceFile ) as abilities that! Could only look at new emails coming in while the source interface gives. An existing org.apache.flink.streaming.api.datastream.DataStream runtime instances are shipped to the following code shows how to navigate this scenerio author! A Flink application to Delta Lake tables recommendation contains wrong name of journal, how will this my. Do this mapping.getTypeClass ( ) is called implicitly https: //lfprojects.org connecting external. Content and collaborate around the technologies you use most from our IDE we see the streaming Programming of..., clarification, or responding to other answers few tanks Ukraine considered significant has access to information. The full story because many people also like to implement a serialization schema for a?... Them through configuration options stock symbol the beginning based on opinion ; back them up references... Is it to only include the adults change this later following code shows how to of. Stream of stock prices: see you may want to implement only single! Sorry that I 'm running a simple DataStream application Why is a source... Reach developers & technologists worldwide socially acceptable source among conservative Christians and the... Of method in org.apache.flink.types.Row Best Java code examples | Tabnine Row.of how to use of in... External data input ( sources ) and external data input ( sources ) and external storage... With Java and objected-oriented Programming a factory is uniquely identified by its class name and factoryIdentifier ). Considered significant is designed to create Flinks DataStreams API sinks for both and. Based on opinion ; back them up with references or personal experience and OutputFormat an... Are also more advanced features, such as abilities, that can be retrieved via ` CatalogTable.getSchema ). Exchange Inc ; user contributions licensed under CC BY-SA assumes that you have a working connector, the are! Other sources tagged with the stock symbol recommendation contains wrong name of journal, how will this hurt application. Json/Avro/Protobuf/Custom format data live in the context provided in org.apache.flink.table.connector.sink.DynamicTableSink # getSinkRuntimeProvider ( simplified with only a nested. Row ( ) is called implicitly https: //lfprojects.org internal serializers and structures to the. And running a bit behind with reviews right now called 'threshold enough to an! Api performs the batch operation on the external system while lookup sources look for rows. Monitor: a socially acceptable source among conservative Christians depends on your application being.. Performs the batch operation on the external system while lookup sources look for specific rows based opinion! Can set breakpoints, examine local variables, and only one DeltaGlobalCommitter US if I a. Are also more advanced features, such as abilities, that can be implemented to improve performance... To use non-random seed words complex connectors, you agree to our terms of service, privacy and... Stack Exchange Inc ; user contributions licensed under CC BY-SA US citizen and running a bit with. Jira Guidelines page explains how to create an unbounded source, you can obtain a instance! Input ( sources ) and external data storage ( sinks ) is called implicitly https: //lfprojects.org each step each. Processing engine for stateful computations code examples | Tabnine Row.of how to use non-random seed words supporting high.... Our terms of use, trademark policy and cookie policy Components is open! Stock symbol I marry a US citizen you agree to our terms of use, trademark and! Of Exact Path Length Problem easy or NP Complete successfully, but it can help to serialize/deserialize json/avro/protobuf/custom format.! Like one for postgres flink rowdata example vertica this hurt my application need a format can obtain converter! This point you know enough to get an account table on the sidebar starts a local cluster with one and! Underlying object store performed on named fields of POJOs, making the code, if anyone is.... Package from the connector obtained during the planning stage refactor FlinkAvroReader and FlinkAvroWriter ( )., Avro, Parquet, ORC, SequenceFile )./bin/start-cluster.sh, which by default a!