Boquan Tang created KAFKA-8335: ---------------------------------- Summary: Log cleaner skips Transactional mark and batch record, causing unlimited growth of __consumer_offsets Key: KAFKA-8335 URL: https://issues.apache.org/jira/browse/KAFKA-8335 Project: Kafka Issue Type: Bug Affects Versions: 2.2.0 Reporter: Boquan Tang
My Colleague Weichu already sent out a mail to kafka user mailing list regarding this issue, but we think it's worth having a ticket tracking it. We are using Kafka Streams with exactly-once enabled on a Kafka cluster for a while. Recently we found that the size of __consumer_offsets partitions grew huge. Some partition went over 30G. This caused Kafka to take quite long to load "__consumer_offsets" topic on startup (it loads the topic in order to become group coordinator). We dumped the __consumer_offsets segments and found that while normal offset commits are nicely compacted, transaction records (COMMIT, etc) are all preserved. Looks like that since these messages don't have a key, the LogCleaner is keeping them all: ---------- $ bin/kafka-run-class.sh kafka.tools.DumpLogSegments --files ..../00000000003484332061.log --key-decoder-class kafka.serializer.StringDecoder 2>/dev/null | cat -v | head Dumping 00000000003484332061.log Starting offset: 3484332061 offset: 3484332089 position: 549 CreateTime: 1556003706952 isvalid: true keysize: 4 valuesize: 6 magic: 2 compresscodec: NONE producerId: 1006 producerEpoch: 2530 sequence: -1 isTransactional: true headerKeys: [] endTxnMarker: COMMIT coordinatorEpoch: 81 offset: 3484332090 position: 627 CreateTime: 1556003706952 isvalid: true keysize: 4 valuesize: 6 magic: 2 compresscodec: NONE producerId: 4005 producerEpoch: 2520 sequence: -1 isTransactional: true headerKeys: [] endTxnMarker: COMMIT coordinatorEpoch: 84 ... ---------- Streams is doing transaction commits per 100ms (commit.interval.ms=100 when exactly-once) so the __consumer_offsets is growing really fast. Is this (to keep all transactions) by design, or is that a bug for LogCleaner? What would be the way to clean up the topic? -- This message was sent by Atlassian JIRA (v7.6.3#76005)