MOHIL created BEAM-10339:
----------------------------
Summary: Getting PC: @ 0x7f7490e08602 (unknown) raise and Check
failure stack trace: ***
Key: BEAM-10339
URL: https://issues.apache.org/jira/browse/BEAM-10339
Project: Beam
Issue Type: Bug
Components: runner-dataflow, sdk-java-core
Affects Versions: 2.19.0
Reporter: MOHIL
I am using the BEAM java 2.19.0 version on google dataflow.
Default machine type which is n1-standard-4.
Didn't set any numWorkerHarnessThreads (I believe beam/dataflow picks it up
based on number of cores available)
I recently added 3-4 new PTransformations. to an existing pipeline where I read
data from BQ for a certain timestamp and create PCollectionView<Map<Key,value>>
to be used as side input in other PTransforms.
I already had similar PTransforms earlier and pipeline was running fine so far.
Moment I added new ones, pipeline failed to start with {color:#FF0000}PC: @
0x7f7490e08602 (unknown) raise and Check failure stack trace: ***
exceptions.{color}
Please find attached screenshots for various logs that I have collected via
worker logs and error reporting.
*Note: When I enabled streamingEngine (keep machine type as default which is
n1-standard-2 for streaming engine), issue was gone and pipeline started
successfully.*
Here is a code snippet which can give idea about kind of transformations and
window that I am using:
1: Code listens for some trigger on pubsub topic:
/**
* Read From PubSub for topic ANALYTICS_UPDATE and create
PCollection<String> indicating main pipeline to reload
* relevant DataAnalyticsData from BQ table
*/
static class MonitorPubSubForDailyAnalyticsDataStatus extends
PTransform<PBegin, PCollection<POJORepresentingJobCompleteInfo>> {
private final String subscriptionName;
private final String jobProject;
MonitorPubSubForDailyAnalyticsDataStatus(String subscriptionName,
String jobProject) {
this.subscriptionName = subscriptionName;
this.jobProject = jobProject;
}
@Override
public PCollection<POJORepresentingJobCompleteInfo> expand(PBegin
input) {
return input.getPipeline()
.apply("Read_PubSub_Messages",
PubsubIO.readMessagesWithAttributesAndMessageId().fromSubscription(subscriptionName))
.apply("Applying_Windowing", Window.<PubsubMessage>into(new
GlobalWindows())
.triggering(Repeatedly.forever(AfterPane.elementCountAtLeast(1)))
.discardingFiredPanes())
.apply("Read_Update_Status", ParDo.of(new DoFn<PubsubMessage,
POJORepresentingJobCompleteInfo>() {
@ProcessElement
public void processElement(@Element PubsubMessage input,
OutputReceiver<POJORepresentingJobCompleteInfo> out) {
/*** Read and CReate ***/
out.output(POJORepresentingJobCompleteInfo);
}
}));
}
}
2: Get Latest Updated and Reload new Updates from various BQ tables using
google cloud bigquery library
([https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries])
PCollection<POJORepresentingJobCompleteInfo> analyticsDataStatusUpdates =
p.apply("Get_Analytics_Data_Status_Updates_pubsub",
new MonitorPubSubForDailyAnalyticsDataStatus(subscriptionName,
jobProject));
3. Create various PCollectionViews to be used as side input for decorating
stream of logs coming from Kafka (will be shown later)
PCollectionView<Map<Stats1Key, Stats1>> Stats1View =
analyticsDataStatusUpdates
.apply("Reload_Stats1_FromBQ", new ReadStats1())
.apply("View_Stats1", View.asSingleton());
PCollectionView<Map<Stats2Key, Stats2>> Stats2View =
analyticsDataStatusUpdates
.apply("Reload_Stats1_FromBQ", new ReadStats2())
.apply("View_Stats1", View.asSingleton());
.
.
.
. and so one
4. An example of code where we read stats from BQ i.e. in ReadStats1(),
ReadStats2() and so on
class ReadStatsS1 extends
PTransform<PCollection<POJORepresentingJobCompleteInfo>,
PCollection<Map<Stats1Key, Stats1>>> {
@Override
public PCollection<Map<Stats1Key, Stats1>>
expand(PCollection<POJORepresentingJobCompleteInfo> input) {
return input
.apply("Read_From_BigQuery", ParDo.of(new BigQueryRread()))
.apply("Applying_Windowing", Window.<Map<Stats1Key,
Stats1>>into(new GlobalWindows())
.triggering(Repeatedly.forever(AfterPane.elementCountAtLeast(1)))
.discardingFiredPanes());
}
private class BigQueryRread extends DoFn<POJORepresentingJobCompleteInfo,
Map<Stats1Key, Stats1>> {
@ProcessElement
public void process(@Element POJORepresentingJobCompleteInfo input,
ProcessContext c) {
Map<Stats1Key, Stats1> resultMap = new HashMap<>();
try {
BigQuery bigQueryClient =
BigQueryOptions.getDefaultInstance().getService();
String sqlQuery = getSqlQuery(input); ///some method to return
desired sql query based on info present in input
QueryJobConfiguration queryJobConfiguration =
QueryJobConfiguration.newBuilder(sqlQuery).setUseLegacySql(false).build();
// Create a job ID so that we can safely retry.
JobId jobId = JobId.of(UUID.randomUUID().toString());
Job queryJob =
bigQueryClient.create(JobInfo.newBuilder(queryJobConfiguration).setJobId(jobId).build());
// Wait for the query to complete.
queryJob = queryJob.waitFor();
if (queryJob == null) {
logger.p1Error("Big Query Job no longer exists");
} else if (queryJob.getStatus().getError() != null) {
// You can also look at
queryJob.getStatus().getExecutionErrors() for all
// errors, not just the latest one.
logger.p1Error("Big Query job returned error: {}",
queryJob.getStatus().getError().toString());
} else {
//successful case
logger.info("Parsing results executed by BigQuery");
// Get the results.
TableResult result = queryJob.getQueryResults();
if (null == result ||
!result.iterateAll().iterator().hasNext()) {
logger.info("No data found for query: {}", sqlQuery);
} else {
// Print all pages of the results.
for (FieldValueList row : result.iterateAll()) {
/*** Parse row and create Stats1Key and Stats
from that row/
resultMap.put(key, stats);
}
}
}
}
} catch (Exception ex) {
logger.p1Error("Error in executing sql query against Big
Query", ex);
}
logger.info("Emitting map of size: {}", resultMap.size());
c.output(resultMap);
}
}
As I mentioned before all classes : ReadStats1(), ReadStats2() etc follow
above code design
5. Using KafkaIO we read continuous stream of data from kafka
PCollection<POJO> Logs =
p
.apply("Read__Logs_From_Kafka", KafkaIO.<String, byte[]>read()
.withBootstrapServers(String.join(",",
bootstrapServerToConnectTo))
.withTopic("topic")
.withKeyDeserializer(StringDeserializer.class)
.withValueDeserializer(ByteArrayDeserializer.class)
.withConsumerConfigUpdates(kafkaConsumerProperties)
.withConsumerFactoryFn(consumerFactoryObj)
.commitOffsetsInFinalize())
.apply("Applying_Fixed_Window_Logs", Window.<KafkaRecord<String,
byte[]>>into(FixedWindows.of(Duration.standardSeconds(10)))
.triggering(Repeatedly.forever(AfterWatermark.pastEndOfWindow().withEarlyFirings(AfterPane.elementCountAtLeast(1))))
.withAllowedLateness(Duration.standardDays(1))
.discardingFiredPanes())
.apply("Convert_KafkaRecord_To_PCollection<POJO>",
ParDo.of(new ParseLogs());
6. Take these logs and apply another Transform providing aforementioned BQ
reads as side input i.e. something like this
Logs.apply("decorate", new Decorate().withSideInput(Stats1View,
Stats2View...);
*Please Note: I tried commenting out code where I added side input to the above
transform and still landed up in the same crash. So Issue is definitely in
adding*
*more than a certain number of PCollectionView transforms. I already had 3-4
such transforms and it was working fine. Yesterday I added a few more and
started seeing crashes.*
If I enable just one of the newly added PCollectionView transforms (keeping old
3-4 intact), then everything works fine. Moment I enable another new transform,
a crash happens.
*It would be good to know how streamingEngine solved the problem.*
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
