问题一:Flink CDC我使用cdc从oracle同步数据到doris,数据全部加载到内存后,报错怎么办?
Flink CDC里我使用cdc从oracle同步数据到doris,这边将数据全部加载到内存后,报错如下:2024-01-09 15:11:00,825 WARN org.apache.flink.runtime.taskmanager.Task [] - Sink sink-doris.testdb.COMPINTRODUCTION (1/1)#0 (c91bf92bf11229d32044a8499c550254) switched from RUNNING to FAILED with failure cause: java.io.IOException: Could not perform checkpoint 1 for operator Sink sink-doris.testdb.COMPINTRODUCTION (1/1)#0.
at org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpointOnBarrier(StreamTask.java:1274)
at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointBarrierHandler.notifyCheckpoint(CheckpointBarrierHandler.java:147)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.triggerCheckpoint(SingleCheckpointBarrierHandler.java:287)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.access$100(SingleCheckpointBarrierHandler.java:64)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler$ControllerImpl.triggerGlobalCheckpoint(SingleCheckpointBarrierHandler.java:493)
at org.apache.flink.streaming.runtime.io.checkpointing.AbstractAlignedBarrierHandlerState.triggerGlobalCheckpoint(AbstractAlignedBarrierHandlerState.java:74)
at org.apache.flink.streaming.runtime.io.checkpointing.AbstractAlignedBarrierHandlerState.barrierReceived(AbstractAlignedBarrierHandlerState.java:66)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.lambda$processBarrier$2(SingleCheckpointBarrierHandler.java:234)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.markCheckpointAlignedAndTransformState(SingleCheckpointBarrierHandler.java:262)
at org.apache.flink.streaming.runtime.io.checkpointing.SingleCheckpointBarrierHandler.processBarrier(SingleCheckpointBarrierHandler.java:231)
at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.handleEvent(CheckpointedInputGate.java:181)
at org.apache.flink.streaming.runtime.io.checkpointing.CheckpointedInputGate.pollNext(CheckpointedInputGate.java:159)
at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:110)
at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65)
at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:496)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:203)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:809)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:761)
at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:937)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.doris.flink.exception.DorisRuntimeException: stream load error: cancelled: Cancelled, see more in null,要怎么解决?
参考答案:
这个错误是由于Flink CDC在执行checkpoint时出现了问题。你可以尝试以下方法来解决这个问题:
- 增加checkpoint的超时时间。在Flink配置文件中,找到
taskmanager.network.memory.min
和taskmanager.network.memory.max
这两个参数,将它们设置为更大的值,例如:
taskmanager.network.memory.min: 64mb taskmanager.network.memory.max: 256mb
- 增加checkpoint的频率。在Flink配置文件中,找到
execution.checkpointing.interval
参数,将其设置为一个较大的值,例如:
execution.checkpointing.interval: 5000ms
- 检查Doris集群的状态,确保它正常运行并且没有负载过高的情况。如果Doris集群出现问题,可能会导致Flink CDC无法正常执行checkpoint。
- 如果问题仍然存在,可以尝试重启Flink和Doris集群,以清除可能的临时问题。
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问题二:Flink CDC里flink source 运行一段时间 报这个错误 怎么解决?
Flink CDC里flink source 运行一段时间 报这个错误 The Source Context has been closed already 怎么解决?
参考答案:
这个错误提示表明Flink CDC的Source Context已经被关闭。要解决这个问题,你可以尝试以下步骤:
- 检查Flink CDC的配置:确保Flink CDC的配置正确,并且与Debezium引擎和数据库之间的连接设置一致。检查配置文件中的数据库连接信息、Debezium引擎配置等是否正确。
- 检查网络连接:确保Flink CDC和Debezium引擎之间的网络连接正常。检查防火墙设置、网络路由等是否允许通信。
- 重启Flink CDC:尝试重新启动Flink CDC,以确保所有组件都处于正确的状态。
- 检查Debezium引擎的状态:确保Debezium引擎正在运行并且没有遇到任何错误。你可以查看Debezium引擎的日志文件以获取更多信息。
- 检查数据库状态:确保数据库处于正常状态,并且没有任何错误或异常情况。检查数据库的日志文件以获取更多信息。
如果以上步骤都没有解决问题,你可能需要进一步调查和调试,以确定具体的原因并采取适当的措施来解决该问题。
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问题三:在使用Flink CDC时,除了指定savepoint路径外,恢复任务还需要提供哪些信息?
在使用Flink CDC时,除了指定savepoint路径外,恢复任务还需要提供哪些信息?当尝试通过手动保存的savepoint(路径为/data/bigdata/flksavepoint/savepoint-8bf7c8-d01d1e73c7c2)恢复Flink CDC从MySQL到StarRocks的任务时,在sql-client端提交作业时报错,请问如何解读这些错误信息?
参考答案:
现在只能先在 flink-conf 里设置 execution.savepoint.path 指定 savepoint 路径解决。在conf/flink-conf.yaml 后面加上 execution.savepoint.path: /flink-1.18.0/savepoint/savepoint-98578e-2e3d6f4f9f86 指定。
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问题四:Flink CDC里这个问题是什么?
Flink CDC里这个问题是什么?Caused by: com.github.shyiko.mysql.binlog.event.deserialization.EventDataDeserializationException: Failed to deserialize data of EventHeaderV4{timestamp=1704770282000, eventType=ROWS_QUERY, serverId=70181, headerLength=19, dataLength=1788, nextPosition=385937391, flags=128}这个bug在2.3.0版本修复了是么?
参考答案:
这个问题是由于Flink CDC在处理MySQL binlog事件时,遇到了反序列化错误。具体来说,是在尝试反序列化EventHeaderV4对象时出现了问题。
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问题五:Flink CDC里为什么通过maven打包之后一直报这个异常?
我是一个dotnet程序员,近期因为项目需要刚刚上手了java和FlinkCDC,我的代码写完了在idea中能够正常运行,但是不知道为什么通过maven打包之后一直报这个异常? Exception in thread "main" java.lang.reflect.InaccessibleObjectException: Unable to make field private static final long java.util.Properties.serialVersionUID accessible: module java.base does not "opens java.util" to unnamed module @6a396c1e
<plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>3.1.1</version> <executions> <!-- Run shade goal on package phase --> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <artifactSet> <excludes> <exclude>org.apache.flink:force-shading</exclude> <exclude>com.google.code.findbugs:jsr305</exclude>
</excludes> </artifactSet> <filters> <filter> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> <transformers combine.children="append"> <!-- TODO:这个防止多个connector的相同类名覆盖--> <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/> <!--指定 主类--> <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <mainClass>com.sjzy.FlinkCDC</mainClass> </transformer> </transformers> </configuration> </execution> </executions> </plugin> </plugins> </build>
参考答案:
ava -jar xxx.jar.看pom配置 应该依赖没打进去 或者指定一下classpath。
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