| commit | 6e8b66f16b25802f5111f7b70a20e7d7a1ca5d65 | [log] [tgz] |
|---|---|---|
| author | Sebastian Liu <liuyang0704@gmail.com> | Tue Jul 14 11:25:44 2020 +0800 |
| committer | Martijn Visser <2989614+MartijnVisser@users.noreply.github.com> | Tue May 14 09:00:13 2024 +0200 |
| tree | aa53bd2bfb30ba2d7b3546fb9d534b6d9af47ffb | |
| parent | 3c57f2ebc2049dd6b0e47048bcf2b2535eb3bf1b [diff] |
Add batch table env support and filter push down to Kudu connector (#82) Update the KuduTableSource to inherit from InputFormatTableSource in order to support both streaming SQL and Batch SQL at the same time. In order to reduce unnecessary data transmission, the filter push down was also added to the KuduTableSource.
This repository contains the official Apache Flink Kudu connector.
Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.
Learn more about Flink at https://flink.apache.org/
Prerequisites:
git clone https://github.com/apache/flink-connector-kudu.git cd flink-connector-kudu mvn clean package -DskipTests
The resulting jars can be found in the target directory of the respective module.
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Minimal requirements for an IDE are:
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Check out our Setting up IntelliJ guide for details.
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Open an issue if you found a bug in Flink.
The documentation of Apache Flink is located on the website: https://flink.apache.org or in the docs/ directory of the source code.
This is an active open-source project. We are always open to people who want to use the system or contribute to it. Contact us if you are looking for implementation tasks that fit your skills. This article describes how to contribute to Apache Flink.
Apache Flink is an open source project of The Apache Software Foundation (ASF). The Apache Flink project originated from the Stratosphere research project.