赵富午 created FLINK-20106:
---------------------------
Summary: flink 1.10 kafka connector通用版本,使用FlinkFixedPartitioner分区器,获取不到parallelInstanceId,parallelInstanceId始终是0,导致数据都被sink到一个kafka 分区上了
Key: FLINK-20106
URL:
https://issues.apache.org/jira/browse/FLINK-20106 Project: Flink
Issue Type: Bug
Components: Connectors / Kafka
Affects Versions: 1.11.0
Environment: {code:java}
//代码占位符
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<!-- or.. (for the new Blink planner) -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka-0.10_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.34</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.70</version>
</dependency>
</dependencies>
{code}
Reporter: 赵富午
Attachments: image-2020-11-12-17-47-21-525.png, image-2020-11-12-17-47-39-466.png, image-2020-11-12-17-48-16-229.png
!image-2020-11-12-17-47-21-525.png!
!image-2020-11-12-17-48-16-229.png!
flink 1.10 kafka connector通用版本,使用FlinkFixedPartitioner分区器,有BUG。
获取不到parallelInstanceId。parallelInstanceId始终是0,导致数据都被sink到一个kafka 分区上了。
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