apache/hadoop · error · IOException
Could not send OOB reponse in time: {}
Error message
Could not send OOB reponse in time: {} What it means
Error "Could not send OOB reponse in time: {}" thrown in apache/hadoop.
Source
Thrown at hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/datanode/BlockReceiver.java:1339
* An OOB coming from downstream will be automatically relayed upstream
* by the responder. This method is used only by originating datanode.
*
* @param ackStatus the type of ack to be sent
*/
void sendOOBResponse(final Status ackStatus) throws IOException,
InterruptedException {
if (!running) {
LOG.info("Cannot send OOB response " + ackStatus +
". Responder not running.");
return;
}
synchronized(this) {
if (sending) {
wait(datanode.getOOBTimeout(ackStatus));
// Didn't get my turn in time. Give up.
if (sending) {
throw new IOException("Could not send OOB reponse in time: "
+ ackStatus);
}
}
sending = true;
}
LOG.info("Sending an out of band ack of type " + ackStatus);
try {
sendAckUpstreamUnprotected(null, PipelineAck.UNKOWN_SEQNO, 0L, 0L,
PipelineAck.combineHeader(datanode.getECN(), ackStatus,
datanode.getSLOWByBlockPoolId(block.getBlockPoolId())));
} finally {
// Let others send ack. Unless there are miltiple OOB send
// calls, there can be only one waiter, the responder thread.
// In any case, only one needs to be notified.
synchronized(this) {
sending = false;
notify();View on GitHub (pinned to 2add963021)
Solutions
- Increase dfs.datanode.oob.timeout or investigate why the responder thread could not send the out-of-band ack promptly (disk stall, GC pause, network congestion).
- Check for long GC pauses or slow disks on this DataNode; OOB timeouts are usually a symptom of local slowness.
When it happens
Trigger: During pipeline recovery, the DataNode fails to send an out-of-band response within the configured timeout.
Common situations: An out-of-band ack could not be sent before the deadline, usually due to an overloaded network or a slow client. Tune OOB timeouts or investigate congestion.
AI-assisted analysis of apache/hadoop@2add963021 (2026-08-22).
Data as JSON: /api/errors/fce14bed8df0ff0f.
Report an issue: GitHub.