[ https://issues.apache.org/jira/browse/KAFKA-7137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Brett Rann resolved KAFKA-7137. ------------------------------- Resolution: Duplicate > ability to trigger compaction for tombstoning and GDPR > ------------------------------------------------------ > > Key: KAFKA-7137 > URL: https://issues.apache.org/jira/browse/KAFKA-7137 > Project: Kafka > Issue Type: Wish > Reporter: Brett Rann > Priority: Minor > > Just spent some time wrapping my head around the inner workings of compaction > and tombstoning, with a view to providing guarantees for deleting previous > values of tombstoned keys from kafka within a desired time. > There's a couple of good posts that touch on this: > https://www.confluent.io/blog/handling-gdpr-log-forget/ > http://www.shayne.me/blog/2015/2015-06-25-everything-about-kafka-part-2/ > Some existing controls: > {color:red}log.cleaner.min.cleanable.ratio{color} - ratio of duplicates in a > log before it will be considered for compaction > {color:red}min.cleanable.dirty.ratio{color} - topic level override for the > above > {color:red}min.compaction.lag.ms{color} - minimum time a record will exist > (eg: to ensure it can be consumed before being compacted) > {color:red}delete.retention.ms{color} (how long a tombstone record is kept > before it may be compacted away. ie so downstream consumers can be given time > to see it). > {color:red}segment.ms{color} - maximum time before a new segment is rolled > (compaction only happens on inactive segments) > {color:red}segment.bytes{color} - the size of the segment. (compaction only > happens on inactive segments) > {color:red}log.cleaner.io.max.bytes.per.second{color} - global setting > limiting IO of the log cleaner thread > Currently the controls have focused around guaranteeing a minimum time > records and delete records will exist before they /may/ be compacted. But if > you want to guarantee they will be compacted by a specific time, there is no > control. > To achieve this now {color:red}log.cleaner.min.cleanable.ratio{color} or > {color:red}min.cleanable.dirty.ratio{color} is hijacked to force aggressive > compaction (by setting it to 0, or 0.000000001 depending on what you read), > and along with segment.ms can provide timing guarantees that a tombstone will > result in any other values for the key will be deleted within a desired time, > /if/ a new record comes in to trigger a new segment roll. > But that sacrifices the utility of min.cleanable.dirty.ratio (and to a lesser > extent, control over segment sizes). On any duplicate key and a new segment > roll it will run compaction, when otherwise it might be preferrable to allow > a more generous dirty.ratio in the case of plain old duplicates. > It would be useful to have control over triggering a compaction without > losing the utility of the dirty.ratio setting. The pure need here is to > specify a minimum time for the log cleaner to run (or a maximum time where it > doesn't run!) on a topic that has keys replaced by a tombstone message that > are past the minimum retention times provided by min.compaction.lag.ms > Something like a {color:red}log.cleaner.max.delay.ms{color}, a topic > {color:red}max.cleanable.delay.ms{color} (or > {color:red}max.compaction.lag.ms{color} ?) and an {color:red}API to trigger > compaction{color}, with some nuances to be fleshed out. > In the mean time, this can be worked around with some duct tape: > * make sure any values you want deleted by a tombstone have passed min > retention configs > * set global log.cleaner.io.max.bytes.per.second to what you want for the > compaction task > * set topic min.cleanable.dirty.ratio=0 for the topic > * set a small segment.ms > * wait for a new segment to roll (ms + a message coming in) and wait for > compaction to kick in. GDPR met! > * undo the hacks > Another workaround is to set {color:red}min.compaction.lag.ms{color} to say > 31 days, along with dirty.ratio=0, and then every 30 days set it to 0 until > compaction happens. That loses the normal dirty.ratio value the above > workaround gives though. -- This message was sent by Atlassian JIRA (v7.6.3#76005)