Flink 错误记录解决

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#flink #debug #错误记录问题解决

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这篇博客详细记录了在使用Flink 1.10.1版本时遇到的Table API和Flink SQL测试错误，错误出现在特定的日志中。通过检查POM文件，博主发现解决方案在于更新POM配置，通过调用.useBlinkPlanner()修复了问题，使得Flink作业能够正常运行。

背景

<flink.version>1.10.1</flink.version>
在测试Table API和Flink SQL时出现如下错误

错误日志

Exception in thread "main" org.apache.flink.table.api.TableException: Could not instantiate the executor. Make sure a planner module is on the classpath
	at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl$.lookupExecutor(StreamTableEnvironmentImpl.scala:366)
	at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl$.create(StreamTableEnvironmentImpl.scala:321)
	at org.apache.flink.table.api.scala.StreamTableEnvironment$.create(StreamTableEnvironment.scala:425)
	at com.zjl.api.tableapi.Example$.main(Example.scala:42)
	at com.zjl.api.tableapi.Example.main(Example.scala)
Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: Could not find a suitable table factory for 'org.apache.flink.table.delegation.ExecutorFactory' in
the classpath.

Reason: No factory supports the additional filters.

The following properties are requested:
class-name=org.apache.flink.table.executor.StreamExecutorFactory
streaming-mode=true

The following factories have been considered:
org.apache.flink.table.planner.delegation.BlinkExecutorFactory
	at org.apache.flink.table.factories.ComponentFactoryService.find(ComponentFactoryService.java:71)
	at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl$.lookupExecutor(StreamTableEnvironmentImpl.scala:350)
	... 4 more

POM

 <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <flink.version>1.10.1</flink.version>
        <scala.binary.version>2.12</scala.binary.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.11_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.bahir</groupId>
            <artifactId>flink-connector-redis_2.11</artifactId>
            <version>1.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-elasticsearch6_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-statebackend-rocksdb_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>



        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>

        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>

        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

解决办法

如下方注释部分所示，采用 .useBlinkPlanner() //blink Pannner，可解决问题

 //基于env创建一个表执行环境
    val settings: EnvironmentSettings = EnvironmentSettings
      .newInstance()
     // .useOldPlanner() //flink Planner  这个报错
      .useBlinkPlanner() //blink Pannner
      .inStreamingMode().build()