Return-Path: X-Original-To: apmail-hadoop-hdfs-issues-archive@minotaur.apache.org Delivered-To: apmail-hadoop-hdfs-issues-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 1ECA717A51 for ; Wed, 8 Oct 2014 20:11:46 +0000 (UTC) Received: (qmail 30961 invoked by uid 500); 8 Oct 2014 20:11:36 -0000 Delivered-To: apmail-hadoop-hdfs-issues-archive@hadoop.apache.org Received: (qmail 30801 invoked by uid 500); 8 Oct 2014 20:11:36 -0000 Mailing-List: contact hdfs-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: hdfs-issues@hadoop.apache.org Delivered-To: mailing list hdfs-issues@hadoop.apache.org Received: (qmail 30661 invoked by uid 99); 8 Oct 2014 20:11:36 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 08 Oct 2014 20:11:36 +0000 Date: Wed, 8 Oct 2014 20:11:36 +0000 (UTC) From: "Kihwal Lee (JIRA)" To: hdfs-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (HDFS-7203) Concurrent appending to the same file can cause data corruption MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/HDFS-7203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Kihwal Lee updated HDFS-7203: ----------------------------- Resolution: Fixed Hadoop Flags: Reviewed Status: Resolved (was: Patch Available) I've committed this to branch-2, branch-2.6 and trunk. > Concurrent appending to the same file can cause data corruption > --------------------------------------------------------------- > > Key: HDFS-7203 > URL: https://issues.apache.org/jira/browse/HDFS-7203 > Project: Hadoop HDFS > Issue Type: Bug > Reporter: Kihwal Lee > Assignee: Kihwal Lee > Priority: Blocker > Attachments: HDFS-7203.patch > > > When multiple threads are calling append against the same file, the file can get corrupt. The root of the problem is that a stale file stat may be used for append in {{DFSClient}}. If the file size changes between {{getFileStatus()}} and {{namenode.append()}}, {{DataStreamer}} will get confused about how to align data to the checksum boundary and break the assumption made by data nodes. > When it happens, datanode may not write the last checksum. On the next append attempt, datanode won't be able to reposition for the partial chunk, since the last checksum is missing. The append will fail after running out of data nodes to copy the partial block to. > However, if there are more threads that try to append, this leads to a more serious situation. In a few minutes, a lease recovery and block recovery will happen. The block recovery truncates the block to the ack'ed size in order to make sure to keep only the portion of data that is checksum-verified. The problem is, during the last successful append, the last data node verified the checksum and ack'ed before writing data and wrong metadata to the disk and all data nodes in the pipeline wrote the same wrong metadata. So the ack'ed size contains the corrupt portion of the data. > Since block recovery does not perform any checksum verification, the file sizes are adjusted and after {{commitBlockSynchronization()}}, another thread will be allowed to append to the corrupt file. This latent corruption may not be detected for a very long time. > The first failing {{append()}} would have created a partial copy of the block in the temporary directory of every data node in the cluster. After this failure, it is likely under replicated, so the file will be scheduled for replication after being closed. Before HDFS-6948, replication didn't work until a node is added or restarted because of the temporary file being on all data nodes. As a result, the corruption could not be detected by replication. After HDFS-6948, the corruption will be detected after the file is closed by lease recovery or subsequent append-close. -- This message was sent by Atlassian JIRA (v6.3.4#6332)