【发布时间】:2018-10-19 03:00:41
【问题描述】:
当我关注flink document通过flink流写入数据时出现“non-serializable”错误。我使用 flink1.6、Elastic-Search-6.4 和 flink-connector-elasticsearch6。
我的代码就像
@Test
public void testStringInsert() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
env.enableCheckpointing(100); //
DataStreamSource<String> input = env.fromCollection(Collections.singleton("testData"));
List<HttpHost> httpHosts = new ArrayList<>();
httpHosts.add(new HttpHost("127.0.0.1", 9200, "http"));
ElasticsearchSink.Builder<String> esSinkBuilder = new ElasticsearchSink.Builder<>(
httpHosts,
new ElasticsearchSinkFunction<String> () {
public IndexRequest createIndexRequest(String element) {
Map<String, String> json = new HashMap<>();
json.put("data", element);
return Requests.indexRequest()
.index("my-index")
.type("my-type")
.source(json);
}
@Override
public void process(String element, RuntimeContext ctx, RequestIndexer indexer) {
indexer.add(createIndexRequest(element));
}
}
);
esSinkBuilder.setBulkFlushMaxActions(1);
input.addSink(esSinkBuilder.build());
env.execute("test es string insert");
}
当我运行上面的代码时,我得到了异常
java.lang.IllegalArgumentException: The implementation of the provided ElasticsearchSinkFunction is not serializable. The object probably contains or references non-serializable fields.
at org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:139)
at org.apache.flink.streaming.connectors.elasticsearch.ElasticsearchSinkBase.<init>(ElasticsearchSinkBase.java:216)
at org.apache.flink.streaming.connectors.elasticsearch6.ElasticsearchSink.<init>(ElasticsearchSink.java:71)
at org.apache.flink.streaming.connectors.elasticsearch6.ElasticsearchSink.<init>(ElasticsearchSink.java:60)
at org.apache.flink.streaming.connectors.elasticsearch6.ElasticsearchSink$Builder.build(ElasticsearchSink.java:208)
at com.lianlianpay.erebus.erebusaccess.ElasticsearchSinkTest.testStringInsert(ElasticsearchSinkTest.java:151)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:51)
at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:237)
at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
我搜索了很多,仍然感到困惑。我没有将 Object 传递给 ElasticsearchSink,除了 String,而且 String 毫无疑问是可序列化的。我真的不明白,我的代码或开发环境有什么问题?
【问题讨论】:
-
如果将
ElasticsearchSinkFunction定义为普通类而不是匿名类会怎样? -
感谢您的建议,我实现了 ElasticsearchSinkFunction 并运行了案例。执行此操作后,没有出现错误,但没有数据索引到 ElasticSearch。更奇怪的是,我在进程函数中设置了断点,然后调试,我无法进入代码。
-
经过一番研究,我用自己的RichSinkFunction实现和RestHighLevelClient成功将数据写入ES
-
如果你可以在一个小应用程序中重现问题,如果你为它打开一个 JIRA 票证对 Flink 社区非常有帮助。
标签: elasticsearch apache-flink flink-streaming