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https://issues.apache.org/jira/browse/BEAM-5040?focusedWorklogId=128819&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-128819
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ASF GitHub Bot logged work on BEAM-5040:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Jul/18 17:36
Start Date: 30/Jul/18 17:36
Worklog Time Spent: 10m
Work Description: chamikaramj commented on a change in pull request
#6080: [BEAM-5040] Fix retry bug for BigQuery jobs.
URL: https://github.com/apache/beam/pull/6080#discussion_r206257385
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java
##########
@@ -1689,6 +1689,11 @@ public WriteResult expand(PCollection<T> input) {
if (getMaxFileSize() != null) {
batchLoads.setMaxFileSize(getMaxFileSize());
}
+ // When running in streaming (unbounded mode) we want to retry failed
load jobs
+ // indefinitely. Failing the bundle is expensive, so we set a fairly
high limit on retries.
+ if (IsBounded.UNBOUNDED.equals(input.isBounded())) {
+ batchLoads.setMaxRetryJobs(1000);
Review comment:
BQ daily jobs quota is 1000. So 1000 retries seems to be unrealistic.
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Issue Time Tracking
-------------------
Worklog Id: (was: 128819)
> BigQueryIO retries infinitely in WriteTable and WriteRename
> -----------------------------------------------------------
>
> Key: BEAM-5040
> URL: https://issues.apache.org/jira/browse/BEAM-5040
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.5.0
> Reporter: Reuven Lax
> Assignee: Reuven Lax
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> BigQueryIO retries infinitely in WriteTable and WriteRename
> Several failure scenarios with the current code:
> # It's possible for a load job to return failure even though it actually
> succeeded (e.g. the reply might have timed out). In this case, BigQueryIO
> will retry the job which will fail again (because the job id has already been
> used), leading to indefinite retries. Correct behavior is to stop retrying as
> the load job has succeeded.
> # It's possible for a load job to be accepted by BigQuery, but then to fail
> on the BigQuery side. In this case a retry with the same job id will fail as
> that job id has already been used. BigQueryIO will sometimes detect this, but
> if the worker has restarted it will instead issue a load with the old job id
> and go into a retry loop. Correct behavior is to generate a new deterministic
> job id and retry using that new job id.
> # In many cases of worker restart, BigQueryIO ends up in infinite retry
> loops.
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