Скачать или смотреть Writing to a Table with the Apache Flink® Table API | Apache Flink® Table API

Get started: https://cnfl.io/apache-flink-table-ap... | In this video, you will learn more about how each of these things is impacted when you use the insertInto clause in the Apache Flink® Table API.

On first glance, inserting data into a table using the Flink Table API seems trivial. It's a single function call with a single parameter. However, the consequences of that change are much more broad.

For example, that simple change can force you to restructure the data. It can impact the lifecycle of the Flink statement. It can also affect whether Confluent Cloud can enable auto-scaling.

Use the promo code FLINKTABLEAPIJAVA & CONFLUENTDEV1 to get $25 of free Confluent Cloud usage and skip credit card entry: https://cnfl.io/try-cloud-apache-flin...

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RELATED RESOURCES
► The Insert Clause - https://nightlies.apache.org/flink/fl...
► TableResult.collect - https://nightlies.apache.org/flink/fl...)
► Auto-scaling in Confluent Cloud - https://cnfl.io/4gcDGx6
► Apache Flink 101 course - https://cnfl.io/4j9Usj7
► Apache Flink SQL course - https://cnfl.io/40ceBfM

CHAPTERS
00:00 - Intro
00:19 - How to structure data in preparation for writing to another table.
01:14 - How to use the insertInto clause.
01:53 - Why the insertInto clause changes the lifecycle of a statement.
03:12 - Why reading a TableResult after insertInto causes the application to hang.
04:21 - How the insertInto clause impacts auto-scaling.
05:10 - Closing

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