Beam: writing per window element count with window boundaries












0















For a simple proof-of-concept, I'm trying to window click-data in two minute windows. All I want to do from there is print the per-window count, along with the windows' boundaries to BigQuery. On running my pipeline I keep receiving the following error:



org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: java.io.IOException: Insert failed: [{"errors":[{"debugInfo":"","location":"windowend","message":"This field is not a record.","reason":"invalid"}],"index":0}]


The pipeline looks like this:



// Creating the pipeline
Pipeline p = Pipeline.create(options);

// Window items
PCollection<TableRow> counts = p.apply("ReadFromPubSub", PubsubIO.readStrings().fromTopic(options.getTopic()))
.apply("AddEventTimestamps", WithTimestamps.of(TotalCountPipeline::ExtractTimeStamp).withAllowedTimestampSkew(Duration.standardDays(10000)))
.apply("Window", Window.<String>into(
FixedWindows.of(Duration.standardHours(options.getWindowSize())))
.triggering(
AfterWatermark.pastEndOfWindow()
.withLateFirings(AfterPane.elementCountAtLeast(1)))
.withAllowedLateness(Duration.standardDays(10000))
.accumulatingFiredPanes())
.apply("CalculateSum", Combine.globally(Count.<String>combineFn()).withoutDefaults())
.apply("BigQueryFormat", ParDo.of(new FormatCountsFn()));

// Writing to BigQuery
counts.apply("WriteToBigQuery",BigQueryIO.writeTableRows()
.to(options.getOutputTable())
.withSchema(getSchema())
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));

// Execute pipeline
p.run().waitUntilFinish();


I'm guessing it has something to do with the BigQuery formatting function, which is implemented as follows:



static class FormatCountsFn extends DoFn<Long, TableRow> {
@ProcessElement
public void processElement(ProcessContext c, BoundedWindow window) {
TableRow row =
new TableRow()
.set("windowStart", window.maxTimestamp().toDateTime())
.set("count", c.element().intValue());
c.output(row);
}
}


As inspired by this post. Can anyone shed some light on this? Can't seem to get my head around it.










share|improve this question





























    0















    For a simple proof-of-concept, I'm trying to window click-data in two minute windows. All I want to do from there is print the per-window count, along with the windows' boundaries to BigQuery. On running my pipeline I keep receiving the following error:



    org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: java.io.IOException: Insert failed: [{"errors":[{"debugInfo":"","location":"windowend","message":"This field is not a record.","reason":"invalid"}],"index":0}]


    The pipeline looks like this:



    // Creating the pipeline
    Pipeline p = Pipeline.create(options);

    // Window items
    PCollection<TableRow> counts = p.apply("ReadFromPubSub", PubsubIO.readStrings().fromTopic(options.getTopic()))
    .apply("AddEventTimestamps", WithTimestamps.of(TotalCountPipeline::ExtractTimeStamp).withAllowedTimestampSkew(Duration.standardDays(10000)))
    .apply("Window", Window.<String>into(
    FixedWindows.of(Duration.standardHours(options.getWindowSize())))
    .triggering(
    AfterWatermark.pastEndOfWindow()
    .withLateFirings(AfterPane.elementCountAtLeast(1)))
    .withAllowedLateness(Duration.standardDays(10000))
    .accumulatingFiredPanes())
    .apply("CalculateSum", Combine.globally(Count.<String>combineFn()).withoutDefaults())
    .apply("BigQueryFormat", ParDo.of(new FormatCountsFn()));

    // Writing to BigQuery
    counts.apply("WriteToBigQuery",BigQueryIO.writeTableRows()
    .to(options.getOutputTable())
    .withSchema(getSchema())
    .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));

    // Execute pipeline
    p.run().waitUntilFinish();


    I'm guessing it has something to do with the BigQuery formatting function, which is implemented as follows:



    static class FormatCountsFn extends DoFn<Long, TableRow> {
    @ProcessElement
    public void processElement(ProcessContext c, BoundedWindow window) {
    TableRow row =
    new TableRow()
    .set("windowStart", window.maxTimestamp().toDateTime())
    .set("count", c.element().intValue());
    c.output(row);
    }
    }


    As inspired by this post. Can anyone shed some light on this? Can't seem to get my head around it.










    share|improve this question



























      0












      0








      0








      For a simple proof-of-concept, I'm trying to window click-data in two minute windows. All I want to do from there is print the per-window count, along with the windows' boundaries to BigQuery. On running my pipeline I keep receiving the following error:



      org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: java.io.IOException: Insert failed: [{"errors":[{"debugInfo":"","location":"windowend","message":"This field is not a record.","reason":"invalid"}],"index":0}]


      The pipeline looks like this:



      // Creating the pipeline
      Pipeline p = Pipeline.create(options);

      // Window items
      PCollection<TableRow> counts = p.apply("ReadFromPubSub", PubsubIO.readStrings().fromTopic(options.getTopic()))
      .apply("AddEventTimestamps", WithTimestamps.of(TotalCountPipeline::ExtractTimeStamp).withAllowedTimestampSkew(Duration.standardDays(10000)))
      .apply("Window", Window.<String>into(
      FixedWindows.of(Duration.standardHours(options.getWindowSize())))
      .triggering(
      AfterWatermark.pastEndOfWindow()
      .withLateFirings(AfterPane.elementCountAtLeast(1)))
      .withAllowedLateness(Duration.standardDays(10000))
      .accumulatingFiredPanes())
      .apply("CalculateSum", Combine.globally(Count.<String>combineFn()).withoutDefaults())
      .apply("BigQueryFormat", ParDo.of(new FormatCountsFn()));

      // Writing to BigQuery
      counts.apply("WriteToBigQuery",BigQueryIO.writeTableRows()
      .to(options.getOutputTable())
      .withSchema(getSchema())
      .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));

      // Execute pipeline
      p.run().waitUntilFinish();


      I'm guessing it has something to do with the BigQuery formatting function, which is implemented as follows:



      static class FormatCountsFn extends DoFn<Long, TableRow> {
      @ProcessElement
      public void processElement(ProcessContext c, BoundedWindow window) {
      TableRow row =
      new TableRow()
      .set("windowStart", window.maxTimestamp().toDateTime())
      .set("count", c.element().intValue());
      c.output(row);
      }
      }


      As inspired by this post. Can anyone shed some light on this? Can't seem to get my head around it.










      share|improve this question
















      For a simple proof-of-concept, I'm trying to window click-data in two minute windows. All I want to do from there is print the per-window count, along with the windows' boundaries to BigQuery. On running my pipeline I keep receiving the following error:



      org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: java.io.IOException: Insert failed: [{"errors":[{"debugInfo":"","location":"windowend","message":"This field is not a record.","reason":"invalid"}],"index":0}]


      The pipeline looks like this:



      // Creating the pipeline
      Pipeline p = Pipeline.create(options);

      // Window items
      PCollection<TableRow> counts = p.apply("ReadFromPubSub", PubsubIO.readStrings().fromTopic(options.getTopic()))
      .apply("AddEventTimestamps", WithTimestamps.of(TotalCountPipeline::ExtractTimeStamp).withAllowedTimestampSkew(Duration.standardDays(10000)))
      .apply("Window", Window.<String>into(
      FixedWindows.of(Duration.standardHours(options.getWindowSize())))
      .triggering(
      AfterWatermark.pastEndOfWindow()
      .withLateFirings(AfterPane.elementCountAtLeast(1)))
      .withAllowedLateness(Duration.standardDays(10000))
      .accumulatingFiredPanes())
      .apply("CalculateSum", Combine.globally(Count.<String>combineFn()).withoutDefaults())
      .apply("BigQueryFormat", ParDo.of(new FormatCountsFn()));

      // Writing to BigQuery
      counts.apply("WriteToBigQuery",BigQueryIO.writeTableRows()
      .to(options.getOutputTable())
      .withSchema(getSchema())
      .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));

      // Execute pipeline
      p.run().waitUntilFinish();


      I'm guessing it has something to do with the BigQuery formatting function, which is implemented as follows:



      static class FormatCountsFn extends DoFn<Long, TableRow> {
      @ProcessElement
      public void processElement(ProcessContext c, BoundedWindow window) {
      TableRow row =
      new TableRow()
      .set("windowStart", window.maxTimestamp().toDateTime())
      .set("count", c.element().intValue());
      c.output(row);
      }
      }


      As inspired by this post. Can anyone shed some light on this? Can't seem to get my head around it.







      java google-bigquery google-cloud-dataflow apache-beam






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      edited Nov 26 '18 at 19:09







      Iso

















      asked Nov 26 '18 at 3:40









      IsoIso

      17010




      17010
























          1 Answer
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          Apparently the answer this question had nothing to do with beam windowing and was solely related to BigQuery. Writing a DateTime object to a BigQuery row requires a string in the proper yyyy-MM-dd HH:mm:ss format, this in contrast to the DateTime object I was providing.






          share|improve this answer























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            1 Answer
            1






            active

            oldest

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            active

            oldest

            votes






            active

            oldest

            votes









            2














            Apparently the answer this question had nothing to do with beam windowing and was solely related to BigQuery. Writing a DateTime object to a BigQuery row requires a string in the proper yyyy-MM-dd HH:mm:ss format, this in contrast to the DateTime object I was providing.






            share|improve this answer




























              2














              Apparently the answer this question had nothing to do with beam windowing and was solely related to BigQuery. Writing a DateTime object to a BigQuery row requires a string in the proper yyyy-MM-dd HH:mm:ss format, this in contrast to the DateTime object I was providing.






              share|improve this answer


























                2












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                2







                Apparently the answer this question had nothing to do with beam windowing and was solely related to BigQuery. Writing a DateTime object to a BigQuery row requires a string in the proper yyyy-MM-dd HH:mm:ss format, this in contrast to the DateTime object I was providing.






                share|improve this answer













                Apparently the answer this question had nothing to do with beam windowing and was solely related to BigQuery. Writing a DateTime object to a BigQuery row requires a string in the proper yyyy-MM-dd HH:mm:ss format, this in contrast to the DateTime object I was providing.







                share|improve this answer












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                share|improve this answer










                answered Nov 26 '18 at 20:43









                IsoIso

                17010




                17010
































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