Beam: writing per window element count with window boundaries
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
add a comment |
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
add a comment |
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
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
java google-bigquery google-cloud-dataflow apache-beam
edited Nov 26 '18 at 19:09
Iso
asked Nov 26 '18 at 3:40
IsoIso
17010
17010
add a comment |
add a comment |
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.
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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.
add a comment |
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.
add a comment |
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.
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.
answered Nov 26 '18 at 20:43
IsoIso
17010
17010
add a comment |
add a comment |
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