apache/beam · error · IOException
Unable to insert job: %s, aborting after %d .
Error message
Unable to insert job: %s, aborting after %d .
What it means
BigQueryIO throws this IOException in JobInsertionRetriesWhenFailureSucceedingPermission startJob after exhausting MAX_RPC_RETRIES attempts to insert a BigQuery job via the Jobs.insert RPC. Each failed insert is logged and retried with backoff; once the backoff is exhausted, the last exception is attached and this error is thrown. It indicates the job (query/load/copy/export) could never be submitted to BigQuery.
Source
Thrown at sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java:402
if (errorExtractor.itemAlreadyExists(e)) {
LOG.info("BigQuery job {} already exists, will not retry inserting it:", jobRef, e);
return; // SUCCEEDED
}
try (QuotaEventCloseable qec =
errorExtractor.quotaExceeded(e) || errorExtractor.rateLimited(e)
? new QuotaEvent.Builder()
.withFullResourceName(BigQueryHelpers.toJobFullResourceName(jobRef))
.withOperation("start_job")
.create()
: null) {
// ignore and retry
LOG.info("Failed to insert job {}, will retry:", jobRef, e);
}
lastException = e;
}
} while (nextBackOff(sleeper, backoff));
throw new IOException(
String.format(
"Unable to insert job: %s, aborting after %d .", jobRef.getJobId(), MAX_RPC_RETRIES),
lastException);
}
static void startJobStream(
Job job,
AbstractInputStreamContent streamContent,
ApiErrorExtractor errorExtractor,
Bigquery client,
Sleeper sleeper,
BackOff backOff)
throws IOException, InterruptedException {
JobReference jobReference = job.getJobReference();
Exception exception;
do {
try {
clientView on GitHub (pinned to 12126d8942)
Solutions
- Inspect lastException (the cause) for the actual API error reason from Jobs.insert
- Grant the executing service account the BigQuery Job User (bigquery.jobs.create) role in the target project
- Verify the project id and job configuration (table refs, write disposition) are correct
- Check BigQuery quotas and status page for outages or rate limits
- Increase retry tolerance by addressing per-attempt errors rather than MAX_RPC_RETRIES itself
Example fix
// before: service account lacks job-insert permission // gcloud projects add-iam-policy-binding MY_PROJECT --member=serviceAccount:... --role=roles/bigquery.jobUser // after: permission granted so Jobs.insert succeeds
Defensive patterns
Strategy: retry
Validate before calling
// Pre-check job creation permission before running the pipeline
try {
bigquery.jobs().insert(projectId, new Job().setJobReference(testRef)
.setConfiguration(new JobConfiguration().setDryRun(true))).execute();
} catch (GoogleJsonResponseException e) {
if (e.getStatusCode() == 403) throw new IllegalStateException("Missing bigquery.jobs.create permission");
} Try / catch
try {
jobService.startJob(jobReference, queryConfiguration);
} catch (IOException e) {
Throwable cause = e.getCause();
if (cause instanceof GoogleJsonResponseException
&& ((GoogleJsonResponseException) cause).getStatusCode() == 403) {
throw new SecurityException("Service account lacks BigQuery Job User role", cause);
}
throw e; // otherwise rely on BigQueryServices' internal backoff
} Prevention
- Grant roles/bigquery.jobUser to the pipeline's service account in every target project
- Dry-run/validate job configurations before submission
- Watch BigQuery quota dashboards during heavy job-creation workloads
- Check the BigQuery status page before long-running batch launches
When it happens
Trigger: Any call that starts a BigQuery job (query job start via JobService) where Jobs.insert fails on every retry — e.g. persistent permission denied on the project, invalid project/job configuration, or a sustained BigQuery API outage.
Common situations: Service account missing bigquery.jobs.create permission; wrong project id in the job reference; malformed job configuration rejected by the API; project quota exhausted for job insertions; long-running BigQuery outage during pipeline startup.
Understand the failure class
Background: "API request failed": what wrapped HTTP errors from external APIs mean and how to find the real cause — this error's family across 29 libraries.
Related errors
- Unable to find BigQuery job: %s, aborting after %d retries.
- Unable to create dataset: %s, aborting after %d .
- Failed to patch table schema.
- More than %d attempts to call AppendRows failed. Last encoun
- More than %d attempts to call AppendRows failed. Last encoun
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/8186d7bd6e56bf42.
Report an issue: GitHub.