Prepare Data for ML APIs on Google Cloud: Challenge Lab recensioni
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    Prepare Data for ML APIs on Google Cloud: Challenge Lab recensioni

    179441 recensioni

    Mukesh P. · Recensione inserita 6 mesi fa

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    Penki S. · Recensione inserita 6 mesi fa

    failed to upload result.json of task 3 and task 4.

    Suryadiputra L. · Recensione inserita 6 mesi fa

    Aulia S. · Recensione inserita 6 mesi fa

    TASK 3 AND 4 NOT DETECTED

    Renaldi A. · Recensione inserita 6 mesi fa

    Fernando L. · Recensione inserita 6 mesi fa

    failed to upload result.json to gs://qwiklabs-gcp-03-3c2574251005-marking/task4-cnl-358.result

    Suryadiputra L. · Recensione inserita 6 mesi fa

    ok

    Alexandre M. · Recensione inserita 6 mesi fa

    Jenna F. · Recensione inserita 6 mesi fa

    Failed at DataFlow Job. Error message from worker: org.apache.beam.sdk.util.UserCodeException: java.lang.RuntimeException: Failed to serialize json to table row: "a228717b-46eb-4107-a4d2-f0e321ef3ff3",false,"Pacheco","Farley","ISOTRONIC","pachecofarley@isotronic.com","+1 (915) 512-3040","794 Dekoven Court, Coalmont, Rhode Island, 4358","Ullamco amet sint minim anim pariatur consequat nostrud pariatur excepteur voluptate tempor Lorem eu. Pariatur ut ullamco ad duis nostrud excepteur est velit eu deserunt voluptate. Laboris voluptate eu officia exercitation commodo eiusmod dolore ea cillum sint consequat culpa id dolore.","2014-07-04T09:46:22 -08:00",-20.301872,-110.658406 org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:39) org.apache.beam.sdk.transforms.MapElements$2$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:803) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1792) org.apache.beam.fn.harness.FnApiDoFnRunner.access$3000(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$NonWindowObservingProcessBundleContext.output(FnApiDoFnRunner.java:2650) com.google.cloud.teleport.templates.common.JavascriptTextTransformer$TransformTextViaJavascript$1.processElement(JavascriptTextTransformer.java:357) com.google.cloud.teleport.templates.common.JavascriptTextTransformer$TransformTextViaJavascript$1$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:803) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1792) org.apache.beam.fn.harness.FnApiDoFnRunner.access$3000(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$WindowObservingProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:2219) org.apache.beam.sdk.io.Read$BoundedSourceAsSDFWrapperFn.processElement(Read.java:322) org.apache.beam.sdk.io.Read$BoundedSourceAsSDFWrapperFn$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100) org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:659) org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:654) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213) org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158) org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537) org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:150) org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:115) java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:829) Caused by: java.lang.RuntimeException: Failed to serialize json to table row: "a228717b-46eb-4107-a4d2-f0e321ef3ff3",false,"Pacheco","Farley","ISOTRONIC","pachecofarley@isotronic.com","+1 (915) 512-3040","794 Dekoven Court, Coalmont, Rhode Island, 4358","Ullamco amet sint minim anim pariatur consequat nostrud pariatur excepteur voluptate tempor Lorem eu. Pariatur ut ullamco ad duis nostrud excepteur est velit eu deserunt voluptate. Laboris voluptate eu officia exercitation commodo eiusmod dolore ea cillum sint consequat culpa id dolore.","2014-07-04T09:46:22 -08:00",-20.301872,-110.658406 com.google.cloud.teleport.templates.common.BigQueryConverters.convertJsonToTableRow(BigQueryConverters.java:352) com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:131) com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:128) org.apache.beam.sdk.transforms.MapElements$2.processElement(MapElements.java:151) Caused by: com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot construct instance of `com.google.api.services.bigquery.model.TableRow` (although at least one Creator exists): no String-argument constructor/factory method to deserialize from String value ('a228717b-46eb-4107-a4d2-f0e321ef3ff3') at [Source: (String)""a228717b-46eb-4107-a4d2-f0e321ef3ff3",false,"Pacheco","Farley","ISOTRONIC","pachecofarley@isotronic.com","+1 (915) 512-3040","794 Dekoven Court, Coalmont, Rhode Island, 4358","Ullamco amet sint minim anim pariatur consequat nostrud pariatur excepteur voluptate tempor Lorem eu. Pariatur ut ullamco ad duis nostrud excepteur est velit eu deserunt voluptate. Laboris voluptate eu officia exercitation commodo eiusmod dolore ea cillum sint consequat culpa id dolore.","2014-07-04T09:46:22 -08:00",-20.3"[truncated 17 chars]; line: 1, column: 1] com.fasterxml.jackson.databind.exc.MismatchedInputException.from(MismatchedInputException.java:63) com.fasterxml.jackson.databind.DeserializationContext.reportInputMismatch(DeserializationContext.java:1733) com.fasterxml.jackson.databind.DeserializationContext.handleMissingInstantiator(DeserializationContext.java:1358) com.fasterxml.jackson.databind.deser.std.StdDeserializer._deserializeFromString(StdDeserializer.java:311) com.fasterxml.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:454) com.fasterxml.jackson.databind.deser.std.MapDeserializer.deserialize(MapDeserializer.java:32) com.fasterxml.jackson.databind.deser.DefaultDeserializationContext.readRootValue(DefaultDeserializationContext.java:323) com.fasterxml.jackson.databind.ObjectMapper._readMapAndClose(ObjectMapper.java:4730) com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3677) com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3645) org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder.decode(TableRowJsonCoder.java:59) com.google.cloud.teleport.templates.common.BigQueryConverters.convertJsonToTableRow(BigQueryConverters.java:349) com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:131) com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:128) org.apache.beam.sdk.transforms.MapElements$2.processElement(MapElements.java:151) org.apache.beam.sdk.transforms.MapElements$2$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:803) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1792) org.apache.beam.fn.harness.FnApiDoFnRunner.access$3000(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$NonWindowObservingProcessBundleContext.output(FnApiDoFnRunner.java:2650) com.google.cloud.teleport.templates.common.JavascriptTextTransformer$TransformTextViaJavascript$1.processElement(JavascriptTextTransformer.java:357) com.google.cloud.teleport.templates.common.JavascriptTextTransformer$TransformTextViaJavascript$1$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForParDo(FnApiDoFnRunner.java:803) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.FnApiDoFnRunner.outputTo(FnApiDoFnRunner.java:1792) org.apache.beam.fn.harness.FnApiDoFnRunner.access$3000(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$WindowObservingProcessBundleContext.outputWithTimestamp(FnApiDoFnRunner.java:2219) org.apache.beam.sdk.io.Read$BoundedSourceAsSDFWrapperFn.processElement(Read.java:322) org.apache.beam.sdk.io.Read$BoundedSourceAsSDFWrapperFn$DoFnInvoker.invokeProcessElement(Unknown Source) org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100) org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:143) org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:659) org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:654) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:348) org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:275) org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213) org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158) org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537) org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:150) org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:115) java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) java.base/java.lang.Thread.run(Thread.java:829)

    Suryadiputra L. · Recensione inserita 6 mesi fa

    ok

    Alexandre M. · Recensione inserita 6 mesi fa

    Ryuske S. · Recensione inserita 6 mesi fa

    Andres David C. · Recensione inserita 6 mesi fa

    Non garantiamo che le recensioni pubblicate provengano da consumatori che hanno acquistato o utilizzato i prodotti. Le recensioni non sono verificate da Google.