Flink sql union. com/sujpr/caravan-careers-work-from-home.
SQL CLI for Apache Flink® via docker-compose. With Flink SQL, users can easily transform and analyze data streams without having to write complex code. Flink is the de facto industry standard for stream processing. apache. flink-sql-connector-xx 是胖包，除了connector的代码外，还把 connector 依赖的所有三方包 shade 后打入，提供给 SQL 作业使用，用户只需要在 lib目录下添加该胖包即可。. 0, released in December 2017, introduced a significant milestone for stream processing with Flink: a new feature called TwoPhaseCommitSinkFunction (relevant Jira here) that extracts the SQL # This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. Set up Apache Flink on Docker. Execution Environment Level # As mentioned here Flink programs are executed in the context of an execution environment. This quick start gets you up and running with Confluent Cloud for Apache Flink®️. Positive values are counted from the beginning of the array. 需求场景分析. To allow duplicate values, use UNION ALL: SELECT column_name (s) FROM table1. This would make both things you're trying to do (i. Name your environment apache-flink-101. The Table API and SQL interface operate on a relational Table abstraction, which can be created from external data sources, or existing DataSets and DataStreams. 4. If you think that the function is general enough, please open a Jira issue for it with a detailed description. Define the source Kafka topic as Flink Table. First, data with information on stock bid prices is moved via an Alpaca websocket The UNION operator selects only distinct values by default. e. If you’re currently using Confluent Cloud in a region that doesn’t yet support Flink, so you can’t use your data in existing Apache Table API # The Table API is a unified, relational API for stream and batch processing. China Union has a vast number of data sources, with just the business databases comprising tens of thousands of tables. Contribute to Aiven-Open/sql-cli-for-apache-flink-docker development by creating an account on GitHub. KeyedStream<Action, Long> actionsByUser = actions . Realtime Compute for Apache Flink:UNION ALL. In the compute pool where you want to run statements, click Open SQL workspace. org. flink run this sql will get NPE: CREATE TABLE account ( _hoodie_commit_time string, _hoodie_commit_seqno string, _hoodie_record_key string, _hoodie_partition_path string, _hoodie_file_name string, _ts_ms bigint, _op string, _hoodie_is union # UNION and UNION ALL return the rows that are found in either table. This mapping is important when consuming/reading records with a schema that was created outside of Flink. The Table API in Flink is commonly used to ease the definition of data analytics, data pipelining, and ETL Hive Read & Write # Using the HiveCatalog, Apache Flink can be used for unified BATCH and STREAM processing of Apache Hive Tables. Select the cloud and region where you want to create your Schema Registry and Stream Catalog (i. You needn’t look further than standard SQL itself to understand the behavior. Moreover, these programs need to be packaged with a build tool before being submitted to a cluster. To be honest I don't think that union depends on the watermarks in any way. Flink SQL Quick Start with Confluent Cloud Console. A temporal table join in Flink SQL provides correct, deterministic results in the presence of out-of-orderness and arbitrary time skew between the two tables. Depending on the requirements of a table program, it might be necessary to adjust certain parameters for optimization. When doing this "by hand", you want to be using Flink's ConnectedStream s with a RichCoFlatMapFunction or CoProcessFunction. UNION takes only distinct rows while UNION ALL does not remove duplicates from the We would like to show you a description here but the site won’t allow us. Elements of the subarray are returned in the order they appear in array. This more or less limits the usage of Flink to Java/Scala programmers. 10 release includes many exciting features. The method returns the result of the SQL query as a Table. But regardless of whether you use the SQL/Table API, or implement joins yourself using the DataStream API, the big picture will be roughly the same. flink cdc 用于监听mysql库，是支持配置多个表的（正则或者枚举的方式）。. On This Page . The following BNF-grammar describes the superset of supported SQL features in batch and streaming queries. The design of Blink considers a unified approach to batch and stream processing. DataStream Transformations # Map # DataStream → The Confluent INFORMATION_SCHEMA is based on the SQL-92 ANSI Information Schema , with the addition of views and functions that are specific to Confluent Cloud for Apache Flink. Dec 15, 2021 · Flink CDC 项目中各个connector的依赖管理和Flink 项目中 connector 保持一致。. flink-connector-xx 只有该 connector In that case, you can use Flink’s Kafka-partition-aware watermark generation. SELECT * FROM T1 UNION SELECT * FROM T2. For example, unbounded streaming programs may need to ensure that the required state size is capped (see streaming concepts). UNION; INTERSECT; EXCEPT; IN; EXISTS; This documentation is for an out-of-date version of Apache Flink. \n See our documentation \nfor a full list of fantastic set operations Apache Flink supports. 9. You can find the slides and a recording of the presentation on the Flink Forward Berlin website. Broadcast state is always represented as MapState, the most versatile state primitive that Flink provides. Data Definition Language (DDL) statements are imperative verbs that define metadata in Flink SQL by adding, changing, or deleting tables. For example, the top five products per category that have the maximum sales in realtime. Grammar. Jul 28, 2020 · Apache Flink 1. In addition, it provides a rich set of advanced features for real-time use cases. This means that if multiple hint values are provided for the same key, Flink will use the value from the last hint specified in the query. Flink SQL > EXPLAIN PLAN FOR SELECT ` count `, COUNT (word) FROM > (SELECT ` count `, word FROM MyTable1 WHERE word LIKE 'F%' > UNION ALL > SELECT ` count `, word FROM MyTable2) tmp GROUP BY ` count `; Flink SQL > EXPLAIN ESTIMATED_COST, CHANGELOG_MODE, PLAN_ADVICE, JSON_EXECUTION_PLAN SELECT ` count `, COUNT (word) FROM > (SELECT ` count Feb 28, 2018 · This post is an adaptation of Piotr Nowojski’s presentation from Flink Forward Berlin 2017. 需求诱诱诱来了。. The Flink connector supports DataStream API, Table API & SQL, and Python API. 19. 10. addInsertSql ("insert_02")；stmtSet. feel free to re-open if need more assistance. SELECT column_name (s) FROM table2; Note: The column names in the result-set are usually equal to the column names in the first SELECT statement. Apr 15, 2021 · Flink SQL, as a core Flink module, functions as a distributed SQL query engine. This means Flink can be used as a more performant alternative to Hive’s batch engine, or to continuously read and write data into and out of Hive tables to power real-time data warehousing applications. It allows Flink to offer a truly unified interface over batch and streaming and makes stream This documentation is for an out-of-date version of Apache Flink. Explore the Zhihu column for a platform that allows free expression through writing. For example, UNION without ALL means that duplicate rows must be removed. Either of these will allow you to keep managed state Sep 23, 2020 · Note: Using SQL DDL syntax is the recommended way to create tables from Flink 1. g. For example, $ echo "1,2" > /tmp/input. UNION takes only distinct rows while UNION ALL does not remove duplicates from the result rows. The ANSI standard uses “catalog” to refer to a database. Third, sort the combined result set by the column specified in the ORDER BY clause. Create a Keystore for Kafka's SSL certificates. For example, if event timestamps are strictly ascending per Kafka Feb 17, 2023 · What I want to achieve is to run a Flink SQL query in streaming mode (simple aggregations like count, min, max), but I need to load archival data as well to have valid aggregations. User-defined functions can be implemented in a JVM language (such as Java or Scala) or Python. To run queries in the Flink SQL shell, run the following command: confluent flink shell --compute-pool <compute-pool-id> --environment <env-id>. Note: If you union a data stream with itself you will get each element twice in the resulting stream. , SPY) and discussed the structure of the app at a high level. Flink’s SQL support is based on Apache Calcite which implements the SQL standard. Confluent Cloud provides a cloud-native, serverless service for Flink that enables simple, scalable, and secure stream processing that integrates seamlessly with Apache Kafka®. These types can’t originate from Flink SQL. jpg)]**UNION ALL **UNION ALL 将两个表合并起来，要求两个表的字段完全一致，包括 SQL # This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. Data is processed using SQL statements. UNION takes only distinct rows while UNION ALL does not remove duplicates from the UNION; INTERSECT; EXCEPT; IN; EXISTS; This documentation is for an out-of-date version of Apache Flink. UNION # UNION and UNION ALL return the rows that are found in either table. Sep 12, 2023 · We’ll cover how Flink SQL relates to the other Flink APIs and showcase some of its built-in functions and operations with syntax examples. In this quick start guide, you perform the following steps: Step 1: Create a workspace. 6k次，点赞5次，收藏5次。Flink SQL UNION ALL 和 UNIONtest_source_union1test_source_union2[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-WJkWao0q-1610090431140)(C:\Users\yangyhx\Desktop\Dingtalk_20210108151427. where you will be storing the metadata). In that case I might just do a series of three 2-way joins, one after another, using keyBy and connect each time. UNION ALL. An implementer can use arbitrary third party libraries within a UDF. Jan 8, 2021 · 文章浏览阅读4. SQL. In particular, it marks the end of the community’s year-long effort to merge in the Blink SQL contribution from Alibaba. Unlike Data Manipulation Language (DML) statements, DDL statements modify only Feb 20, 2020 · Introduction # The recent Apache Flink 1. Instead of specifying queries as String values as Jul 15, 2021 · 7. In Confluent Cloud for Apache Flink®️, a statement is a high-level resource that’s created when you enter a SQL query. It has a higher and more stable performance than flink-connector-jdbc provided by Apache Flink®. The Table API is a super set of the SQL language and is specially designed for working with Apache Flink. Write the program interactively using the CLI. If you need to Sep 16, 2020 · Flink Table only played a minor role in Flink versions earlier than v1. In Confluent Cloud, “schema” refers to a database. Jun 26, 2019 · As a first step, we key the action stream on the userId attribute. 日本核电站爆炸内幕. Scalar Functions # The Click + Add cloud environment. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, CATALOG, DATABASE, VIEW, FUNCTION DROP TABLE 阿里云为您提供专业及时的flink SQL union的相关问题及解决方案,解决您最关心的flink SQL union内容,并提供7x24小时售后支持,点击官网了解更多内容-阿里云 产品 解决方案 文档与社区 权益中心 定价 云市场 合作伙伴 支持与服务 了解阿里云 Explore Zhihu Zhuanlan, a platform for creative writing and free expression on various topics. Data is read into a Flink table from Kafka via the Flink connector for Kafka. Feb 14, 2022 · nsivabalan commented on Mar 19, 2022. import org. In practice, we often use the UNION operator to combine data from different tables. In hindsight, we wish we had invested in enabling Flink SQL on the DataMesh platform much earlier. keyBy((KeySelector<Action, Long>) action -> action. In this blog, we will explore the Union operator in Flink that can combine two or more data streams together. flink SQL # This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. defining a watermark and naming your table) more straightforward: Oct 6, 2023 · Flink provides various connectors to stream data from different sources. We recommend you use the latest stable version. field2) FROM ( SELECT fiel Configuration # By default, the Table & SQL API is preconfigured for producing accurate results with acceptable performance. Apache Flink 1. If a function that you need is not supported yet, you can implement a user-defined function. The following snippet uses a WatermarkStrategy to extract the eventTime from a ClickEvent Dec 23, 2022 · Flink SQL has emerged as the de facto standard for low-code data analytics. Syntax. Description. only the most recent messages for a given key are kept Apr 9, 2020 · Firstly, you need to prepare the input data in the “/tmp/input” file. Second, combine result sets and remove duplicate rows to create the combined result set. With the power of OVER window PARTITION BY clause, Flink also supports per group Top-N. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, DATABASE, VIEW, FUNCTION DROP TABLE, DATABASE Jun 10, 2024 · In part one of this series, we walked through how to use Streamlit, Apache Kafka ®, and Apache Flink ® to create a live data-driven user interface for a market data application to select a stock (e. This duality allows tables to be treated as dynamic streams of data and 6 days ago · Document Center. While each data source has its specific connector and UNION; INTERSECT; EXCEPT; IN; EXISTS; This documentation is for an unreleased version of Apache Flink. The watermark with Union works just as the watermark with parallel streams. This documentation is for an out-of-date version of Apache Flink. 对应的 SQL 语句如下：. Some data may be stored temporarily as state in Flink while it’s being processed. Fire it up as follows: docker exec -it flink-sql-client sql-client. You will start with separate FlinkKafkaConsumer sources, one for each of the topics. It provides users with a declarative way to express data transformations and analytics on streams of data. The same stands for downstream operators, they watermark will be the min of all input streams. It has managed to unify batch and stream processing while simultaneously staying true to the SQL standard. 现在在使用flink cdc This section describes the SQL language support in Confluent Cloud for Apache Flink®️, including Data Definition Language (DDL) statements , Data Manipulation Language (DML) statements, and built-in functions. 知乎专栏是一个自由写作和表达平台，让用户随心所欲地分享观点和知识。 UNION 将两个流给合并起来，要求两个流的字段完全一致，包括字段类型、字段顺序，并其 UNION 不同于 UNION ALL，UNION 会对结果数据去重,与关系代数的 Union 语义一致，如下：. Our tutorial demonstrates how to filter results when selecting from a table. The Docker Compose file will start three Flink® containers that have Kafka connector dependencies preinstalled: an interactive Flink SQL client (flink-sql-client) that sends streaming SQL jobs to the Flink Job Manager (flink-job-manager), which in The Compute Pools list opens. Check the pipeline output. Overview # In every table JSON Format # Format: Serialization Schema Format: Deserialization Schema The JSON format allows to read and write JSON data based on an JSON schema. Loading data into StarRocks tables with Flink connector needs SELECT and INSERT privileges on the target StarRocks table. Avro types to Flink SQL types¶ The following table shows the mapping of Avro types to Flink SQL and types. UNION takes only distinct rows while UNION ALL does not remove duplicates from the result rows. . 需求场景. This means that the watermark is always the min of watermarks from all input streams. The offsets are 1-based, but 0 is also treated as the beginning of the array. The Operations section shows examples for the supported features and indicates which features are only supported for batch or streaming queries. Flink的Transformation转换主要包括四种：单数据流基本转换、基于Key的分组转换、多数据流转换和数据重分布转换。. SQL Client # Flink’s Table & SQL API makes it possible to work with queries written in the SQL language, but these queries need to be embedded within a table program that is written in either Java or Scala. The following steps show how to create a workspace for running SQL statements on streaming data. 11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. 1. User-defined Functions # User-defined functions (UDFs) are extension points to call frequently used logic or custom logic that cannot be expressed otherwise in queries. For instance, consider the following SQL query with conflicting ‘max-attempts’ values in the LOOKUP hint: Welcome to Confluent Cloud for Apache Flink®️. This page will focus on JVM-based languages, please refer to The Table API is a SQL-like expression language for relational stream and batch processing that can be easily embedded in Flink’s DataSet and DataStream APIs (Java and Scala). We know in union 指令的目的是将两个 sql 语句的结果合并起来。从这个角度来看， union 跟 join 有些许类似，因为这两个指令都可以由多个表格中撷取资料。 union 的一个限制是两个 sql 语句所产生的栏位需要是同样的资料种类。 juyonychen on May 22, 2022. avro. The SELECT statement in Flink does what the SQL standard says it must do. userId); Next, we prepare the broadcast state. NOTICE. Some common connectors include Kafka, Kinesis, and Filesystem. Part 1: Stream Processing Simplified: An Inside Look at Flink for Kafka Users. In the following sections, we describe how to integrate Kafka, MySQL, Elasticsearch, and Kibana with Flink SQL to analyze e-commerce Feb 25, 2020 · 1. There are many different approaches to combining or joining two streams in Flink, depending on requirements of each specific use case. This page will focus on JVM-based languages, please refer to Next, create the following docker-compose. Both the transactions and currency_rates tables are backed by Kafka topics, but in the case of rates this topic is compacted (i. , queries are executed with the same semantics on unbounded, real-time streams or bounded, batch data sets and produce the same results. The data is primarily processed through Flink SQL and the DataStream API. Jul 30, 2021 · 序言：一个原本活蹦乱跳的男人离奇死亡，死状恐怖，灵堂内的尸体忽然破棺而出，到底是诈尸还是另有隐情，我是刑警宁泽，带 沈念sama 阅读 27,912 评论 2 赞 238. First, execute each SELECT statement individually. It shows only mappings that are not covered by the previous table. Flink Development Importing Flink into an IDE SQL. Jun 4, 2024 · We’ll hook up a Kafka producer to the websocket stream and send data to a Kafka topic in Confluent Cloud. Last Updated:Jul 05, 2024. Currently, the JSON schema is derived from table schema. You can also submit the Python Table API program to a remote cluster Flink uses the combination of a OVER window clause and a filter condition to express a Top-N query. This topic describes how the compatibility between a deployment and the state data is affected after you modify UNION ALL in an SQL statement for the deployment. field1), count(b. py. Top-N queries are supported for SQL on batch and streaming tables. The SQL Client SQL # This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. yml file to obtain Confluent Platform (for Kafka in the cloud, see Confluent Cloud) and Apache Flink®. SQL queries are specified with the sqlQuery () method of the TableEnvironment. The command builds and runs the Python Table API program in a local mini-cluster. Next, you can run this example on the command line, $ python python_udf_sum. Using that feature, watermarks are generated inside the Kafka consumer, per Kafka partition, and the per-partition watermarks are merged in the same way as watermarks are merged on stream shuffles. UNION takes only distinct rows while UNION ALL does not remove duplicates from the SQL # This page describes the SQL language supported in Flink, including Data Definition Language (DDL), Data Manipulation Language (DML) and Query Language. Data is processed using Flink task managers (managed by Confluent and not exposed to users), which are part of the Flink runtime. Finally, we’ll use a Kafka consumer to receive that data and populate it to a Streamlit component in real time. Table API queries can be run on batch or streaming input without modifications. System (Built-in) Functions # Flink Table API & SQL provides users with a set of built-in functions for data transformations. Reading # Flink supports reading data from Hive in both Sep 2, 2017 · Sorted by: Reset to default. UNION; INTERSECT; EXCEPT; IN; EXISTS; Set Operations # Batch Streaming. The reason the community chose to spend so much time on the contribution is that SQL works. This is useful when you have multiple SQL statements that share common intermediate results, as it enables you to reuse those results and avoid unnecessary computation. The SQL Client Dec 2, 2022 · Flink SQL Joins - Part 1. Step 2: Run SQL statements. 欢迎前往用户之声反馈相关问题. The JSON format supports append-only streams, unless you’re using a connector that explicitly support retract streams and/or upsert streams like the Upsert Kafka connector. The workspace opens with a cell for editing SQL statements. A Table can be used in subsequent SQL and Table API queries, be converted into a DataSet Apr 6, 2021 · Then union together these parallel join result streams, keyBy the random nonce you added to each of the original events, and glue the results together. Then we’ll use Flink SQL within Confluent Cloud’s Flink SQL workspace to tumble an average bid price every five seconds. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, CATALOG, DATABASE, VIEW, FUNCTION DROP TABLE 💡 This example will show how you can use the set operation UNION ALL to combine several streams of data. Reason: org. Nov 3, 2023 · Learnings from our journey. Jul 16, 2024 · It mainly includes three parts: business databases, user behavior logs, and user location. Statement sets are a feature of Confluent Cloud for Apache Flink®️ that enables executing a set of SQL statements as a single, optimized statement. 前往用户之声 返回社区首页. Feb 25, 2021 · [ERROR] Could not execute SQL statement. However, Flink Table has become increasingly important as the user-friendly Flink SQL has been increasingly recognized and used. In general, I recommend using Flink SQL for implementing joins, as it is easy to work with and well optimized. The Table API is a language-integrated API for Scala, Java and Python. To this end I created a Flink table for a Kafka topic and a for a table in relational database. The Docker Compose file will start three Flink® containers that have Kafka connector dependencies preinstalled: an interactive Flink SQL client (flink-sql-client) that sends streaming SQL jobs to the Flink Job Manager (flink-job-manager), which in Union of two or more data streams creating a new stream containing all the elements from all the streams. To Reproduce Case 1: SELECT sum(a. 数据产品妹妹想要统计单个短 Describe the problem you faced When using join or union to query the same table in flink sql, source uid ( "uid_streaming_source_TABLENAME") collision occurs . Part 2: Flink in Practice: Stream Processing Use Cases for Kafka Users. When offered a choice on which Stream Governance Package to use, select Essentials. 完整代码. Returns a subarray of the input array between start_offset and end_offset, inclusive. Flink SQL has emerged as the de facto standard for low-code data analytics. 如果你要实现SQL的方式直接用SQL client不知道咋实现，但是APi方式的话：stmtSet. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, CATALOG, DATABASE, VIEW, FUNCTION DROP TABLE Apache Flink offers a Table API as a unified, relational API for batch and stream processing, i. sh. Flink SQL features high query efficiency with the integration of cost-based optimizers (CBOs), column-oriented storage Flink算子使用方法及实例演示：union和connect-腾讯云开发者社区-腾讯云. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, DATABASE, VIEW, FUNCTION DROP TABLE, DATABASE Sep 14, 2020 · Flink provides many multi streams operations like Union, Join, and so on. Set Operations # Batch Streaming. 4. Now in the case of three streams, this may be overly complex. Flink SQL allows users to perform union queries on disparate data sources and write complex SQL queries for data analysis in one single program. closing the issue for now. Part 4: Introducing Confluent Cloud for Apache Flink. This section gives a description of the basic transformations, the effective physical partitioning after applying those as well as insights into Flink’s operator chaining. The best way to interact with Flink SQL when you’re learning how things work is with the Flink SQL CLI. Sep 12, 2023 · What is Flink SQL? Flink SQL is an ANSI standard compliant SQL engine that can process both real-time and historical data. 正文 年R本政府宣布，位于F岛的核电站，受9级特大地震影响，放射性物质 Aug 19, 2021 · 本文介绍在满足原有需求、实现原有逻辑的场景下，在 Flink 中使用 union 代替 cogroup (或者join) ，简化任务逻辑，提升任务性能的方法，阅读时长大概 7 分钟，话不多说，直接进入正文！. In a nutshell, Flink SQL provides the best of both worlds: it gives you the User-defined Functions # User-defined functions (UDFs) are extension points to call frequently used logic or custom logic that cannot be expressed otherwise in queries. Transform and insert data. AvroTypeException: Found string, expecting union Is there a way to convert string field to a timestamp and use it as eventime attribute? Mar 7, 2023 · A WatermarkStrategy informs Flink how to extract an event’s timestamp and assign watermarks. 抱歉，出错了！. When Flink encounters conflicting in key-value hints, it adopts a last-write-wins strategy. Operators # Operators transform one or more DataStreams into a new DataStream. Apache Flink® SQL is based on Apache Calcite , which implements the SQL standard. This section guides you through the steps to get your queries running using the Confluent Cloud Console (browser-based) and the Flink SQL shell (CLI-based). Your Kafka topics appear automatically as queryable Flink tables, with schemas and metadata attached by Jun 3, 2021 · Here's how it goes: Setting up Apache Kafka. If we had the Data Mesh SQL Processor earlier, we would’ve been able to avoid spending engineering resources to build smaller building blocks such as the Union Processor, Column Rename Processor, Projection and Filtering Processor. Conceptually, the terms are equivalent. 本文围绕Flink SQL实时数据处理中的Changelog事件乱序问题，分析了Flink SQL中Changelog事件乱序问题的原因，并提供了解决方案以及处理Changelog事件乱序的建议。以帮助您更好地理解Changelog的概念和应用，更加高效地使用Flink SQL进行实时数据处理。 Description. Modifications that do not affect or partially affect the compatibility. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view. This page gives a brief overview of them. flink. An execution environment defines a default parallelism for all operators, data sources, and data sinks it executes. addInsertSql ("insert_01")。. On This Page Next, create the following docker-compose. Feb 1, 2024 · A key concept in Flink SQL is the stream-table duality, which bridges the gap between dynamic streams and static tables. Programs can combine multiple transformations into sophisticated dataflow topologies. Create some test data with Kafkacat. Flink parses SQL using Apache Calcite, which supports standard ANSI SQL. shaded. zi em vv dh tp pn kr xi vl hu
