[英]JAVA - Apache BEAM- GCP: GroupByKey works fine with Direct Runner but fails with Dataflow runner
I tested my code with a Dataflow runner, however it returns an error:我用 Dataflow runner 测试了我的代码,但是它返回一个错误:
> Error message from worker: java.lang.RuntimeException:
> org.apache.beam.sdk.util.UserCodeException:
> com.fasterxml.jackson.core.JsonParseException: Unrecognized token
> 'WindowReiterable[ ]
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:114)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
> org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
> org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:411)
> org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:380)
> org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:305)
> org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
> org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
> org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
> java.util.concurrent.FutureTask.run(FutureTask.java:266)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> java.lang.Thread.run(Thread.java:748) Caused by:
> org.apache.beam.sdk.util.UserCodeException:
> com.fasterxml.jackson.core.JsonParseException: Unrecognized token
> 'WindowReiterable': was expecting ('true', 'false' or 'null') at
> [Source: (String)"WindowReiterable []
Note that I used the same code with a Direct Runner and it works just fine.请注意,我在 Direct Runner 中使用了相同的代码,并且效果很好。 Has anyone ever encountered this issue ?
有没有人遇到过这个问题? If so can you please tell me how to solve it ?
如果是这样,你能告诉我如何解决吗? Or should I replace the GroupByKey by another function ... ?
或者我应该用另一个函数替换 GroupByKey ......?
Here is the code:这是代码:
PCollection<KV<String, Iterable<String>>> KVElements =
pipeline.apply("Reads the input fixed-width file", TextIO
.read()
.from(options.getPolledFile())).apply("Converts to KV elements, ParDo.of(new DoFn<String, String>(){
@ProcessElement
public void processElement(ProcessContext c) {
String element = c.element();
String[] columns = (“key;col1;col2;col3”).split(";");
String[] values = element.split(";");
ObjectNode rowToJson = jsonParser.createObjectNode();
for (int i = 0; i < columns.length; i++) {
rowToJson.put(columns[i], values[i].trim());
}
c.output(KV.of(rowToJson.get(“key”).asText(), rowToJson.toString()));
}}));
PCollection <KV<String, Iterable<String>>> joinedCollection = KVElements.apply(GroupByKey.create());
PCollection <String> joined = (PCollection<String>) joinedCollection.apply("Converts to json string", ParDo.of(new DoFn<KV<String, Iterable<String>>, String>(){
@ProcessElement
public void processElement(ProcessContext c) throws IOException {
KV<String, Iterable<String>> element = c.element();
JsonNode parsed = jsonParser.readTree(String.valueOf(element.getValue()));
final ObjectMapper mapper = new ObjectMapper();
ObjectNode KVJson = mapper.createObjectNode();
String value = null;
for (int i =0; i<parsed.size();i++){
KVJson.put("col1",parsed.get(i).get("col1"));
KVJson.put("col2",parsed.get(i).get("col2"));
KVJson.put("col3",parsed.get(i).get("col3"));
}
c.output(KVJson.toString());
}}));
Version of Apache Beam : 2.17.0 Apache Beam 版本:2.17.0
Looks like the ParDo is not defined correctly.看起来 ParDo 定义不正确。 In the code snippet
在代码片段中
"Converts to KV elements, ParDo.of(new DoFn<String, String>
should be changed to match the KV result that is being generated as output, something like below应该更改以匹配作为输出生成的 KV 结果,如下所示
"Converts to KV elements, ParDo.of(new DoFn<String, KV<String, Iterable<String>>>
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