Stephen O'Donnell created HDFS-15415: ----------------------------------------
Summary: Reduce locking in Datanode DirectoryScanner Key: HDFS-15415 URL: https://issues.apache.org/jira/browse/HDFS-15415 Project: Hadoop HDFS Issue Type: Improvement Components: datanode Affects Versions: 3.4.0 Reporter: Stephen O'Donnell Assignee: Stephen O'Donnell In HDFS-15406, we have a small change to greatly reduce the runtime and locking time of the datanode DirectoryScanner. They may be room for further improvement here: 1. These lines of code in DirectoryScanner#scan(), obtain a snapshot of the finalized blocks from memory, and then sort them, under the DN lock. However the blocks are stored in a sorted structure (FoldedTreeSet) and hence the sort should be unnecessary. {code} final List<ReplicaInfo> bl = dataset.getFinalizedBlocks(bpid); Collections.sort(bl); // Sort based on blockId {code} 2. From the scan step, we have captured a snapshot of what is on disk. After calling `dataset.getFinalizedBlocks(bpid);` as above we have taken a snapshot of in memory. The two snapshots are never 100% in sync as things are always changing as the disk is scanned. We are only comparing finalized blocks, so they should not really change: * If a block is deleted after our snapshot, our snapshot will not see it and that is OK. * A finalized block could be appended. If that happens both the genstamp and length will change, but that should be handled by reconcile when it calls `FSDatasetImpl.checkAndUpdate()`, and there is nothing stopping blocks being appended after they have been scanned from disk, but before they have been compared with memory. My suspicion is that we can do all the comparison work outside of the lock and checkAndUpdate() re-checks any differences later under the lock on a block by block basis. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-dev-h...@hadoop.apache.org