apache/seatunnel · error · RuntimeException
Failed to flush data in prepareCommit
Error message
Failed to flush data in prepareCommit
What it means
AirtableSinkWriter.prepareCommit flushes buffered records as part of the checkpoint protocol; if flush() throws an IOException it is rethrown as a RuntimeException 'Failed to flush data in prepareCommit'. This fails the checkpoint (and ultimately the task), so no data is acknowledged to Airtable twice without retry semantics.
Source
Thrown at seatunnel-connectors-v2/connector-http/connector-http-airtable/src/main/java/org/apache/seatunnel/connectors/seatunnel/airtable/sink/AirtableSinkWriter.java:230
// half of MAX can be less than the previous retry's wait, which would let
// a later retry sleep for less than an earlier one. It also keeps the
// wait at or above rateLimitBackoffMs for free, since the last uncapped
// wait is never smaller than the configured backoff.
long floor = waitMillis / 2;
for (long scheduled = rateLimitBackoffMs; scheduled < MAX_BACKOFF_MILLIS; scheduled <<= 1) {
if (scheduled > floor) {
floor = scheduled;
}
}
return waitMillis - ThreadLocalRandom.current().nextLong(waitMillis - floor + 1);
}
@Override
public Optional<Void> prepareCommit() {
try {
flush();
} catch (IOException e) {
throw new RuntimeException("Failed to flush data in prepareCommit", e);
}
return Optional.empty();
}
@Override
public void close() throws IOException {
flush();
if (Objects.nonNull(httpClient)) {
httpClient.close();
}
}
}
View on GitHub (pinned to cf67b549a7)
Solutions
- Look at the cause of the RuntimeException to see the underlying flush failure (status code vs network).
- Reduce batch size / increase request interval so flushes complete within commit timeouts.
- Ensure the Airtable token has adequate rate limits and quota.
- Restart the job from the last successful checkpoint after fixing the root cause; sink is exactly-once via checkpoint recovery.
Defensive patterns
Strategy: retry
Try / catch
try { writer.prepareCommit(); } catch (RuntimeException e) { Throwable root = ExceptionUtils.getRootCause(e); log.error("Airtable flush failed at commit: {}", root.getMessage(), root); throw e; } Prevention
- Tune request_interval_ms so batches drain within checkpoint timeouts
- Keep batches below Airtable's 10-record request limit
- Monitor Airtable 429/5xx rates
- Enable checkpointing with a sane timeout
When it happens
Trigger: prepareCommit() is invoked at checkpoint/commit time and the pending flush fails for any reason: Airtable error status (see 1411), network failure (see 1412), or rate-limit retries exhausting.
Common situations: Checkpoint triggered while Airtable is rate-limiting heavily or during a network blip; large buffered batch exceeding Airtable request limits.
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
- COMMIT_FAILED
- Failed to flush data in prepareCommit
- Failed to flush data during prepareCommit()
- WRITE_FAILED
- Failed to broadcast FlushSignal from task {}
AI-assisted analysis of apache/seatunnel@cf67b549a7 (2026-09-10).
Data as JSON: /api/errors/b469a1aeb8fefe66.
Report an issue: GitHub.