【发布时间】:2017-04-30 04:14:14
【问题描述】:
当我尝试保存一个很长的字符串时,数据流作业抛出此错误消息:属性“myProperty”的值超过 1500 个字节。代码=INVALID_ARGUMENT。
遵循 Google 的 DatastoreWordCount 示例并保存一个长度超过 1500 字节的字符串时出现错误。
我知道在使用 Datastore API 时,我可以通过将属性保存为 com.google.appengine.api.datastore.Text 来保存长度超过 1500 字节的字符串。但是,DatastoreWordCount 示例或 DatastoreHelper 类文档中没有其他选项可以表明支持 Text 类型。
是否可以使用该 api 保存如此长的字符串,以便将其读取为com.google.appengine.api.datastore.Text?
完整的错误信息如下:
java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: com.google.datastore.v1.client.DatastoreException: The value of property "dalekTestExecutions" is longer than 1500 bytes., code=INVALID_ARGUMENT
at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:162)
at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:288)
at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:284)
at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext$1.outputWindowedValue(DoFnRunnerBase.java:508)
at com.google.cloud.dataflow.sdk.util.GroupAlsoByWindowsAndCombineDoFn.closeWindow(GroupAlsoByWindowsAndCombineDoFn.java:205)
at com.google.cloud.dataflow.sdk.util.GroupAlsoByWindowsAndCombineDoFn.processElement(GroupAlsoByWindowsAndCombineDoFn.java:192)
at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:49)
at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:139)
at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:190)
at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47)
at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:55)
at com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:224)
at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.start(ReadOperation.java:185)
at com.google.cloud.dataflow.sdk.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:72)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.executeWork(DataflowWorker.java:287)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.doWork(DataflowWorker.java:223)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:173)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.doWork(DataflowWorkerHarness.java:193)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:173)
at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:160)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
【问题讨论】:
标签: google-app-engine google-cloud-datastore google-cloud-dataflow