[ https://issues.apache.org/jira/browse/HDFS-16179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
tomscut updated HDFS-16179: --------------------------- Summary: Update loglevel for BlockManager#chooseExcessRedundancyStriped to avoid too much logs (was: Update loglevel for BlockManager#chooseExcessRedundancyStriped avoid too much logs) > Update loglevel for BlockManager#chooseExcessRedundancyStriped to avoid too > much logs > ------------------------------------------------------------------------------------- > > Key: HDFS-16179 > URL: https://issues.apache.org/jira/browse/HDFS-16179 > Project: Hadoop HDFS > Issue Type: Improvement > Affects Versions: 3.1.0 > Reporter: tomscut > Assignee: tomscut > Priority: Minor > Attachments: log-count.jpg, logs.jpg > > > {code:java} > private void chooseExcessRedundancyStriped(BlockCollection bc, > final Collection<DatanodeStorageInfo> nonExcess, > BlockInfo storedBlock, > DatanodeDescriptor delNodeHint) { > ... > // cardinality of found indicates the expected number of internal blocks > final int numOfTarget = found.cardinality(); > final BlockStoragePolicy storagePolicy = storagePolicySuite.getPolicy( > bc.getStoragePolicyID()); > final List<StorageType> excessTypes = storagePolicy.chooseExcess( > (short) numOfTarget, DatanodeStorageInfo.toStorageTypes(nonExcess)); > if (excessTypes.isEmpty()) { > LOG.warn("excess types chosen for block {} among storages {} is empty", > storedBlock, nonExcess); > return; > } > ... > } > {code} > > IMO, here is just detecting excess StorageType and setting the log level to > debug has no effect. > > We have a cluster that uses the EC policy to store data. The current log > level is WARN here, and in about 50 minutes, 286,093 logs are printed, which > can cause other important logs to drown out. > > !logs.jpg|width=1167,height=62! > > !log-count.jpg|width=760,height=30! -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org