Out of memory error while adding a new host due to large number of revisions
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Key: JCR-2483
URL: https://issues.apache.org/jira/browse/JCR-2483
Project: Jackrabbit Content Repository
Issue Type: Improvement
Components: clustering
Environment: MySQL DB. 512 MB memory allocated to java app.
Reporter: aasoj
In a cluster deployment, revisions are saved in Journal Table in the DB. After
a while a huge number of revisions can get created (around 70 k in our test).
When a new host is added to the cluster, it tries to read all the revisions and
hence the following error:
Caused by: java.lang.OutOfMemoryError: Java heap space
at com.mysql.jdbc.MysqlIO.reuseAndReadPacket(MysqlIO.java:2931)
at com.mysql.jdbc.MysqlIO.reuseAndReadPacket(MysqlIO.java:2871)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3414)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:910)
at com.mysql.jdbc.MysqlIO.nextRow(MysqlIO.java:1405)
at com.mysql.jdbc.MysqlIO.readSingleRowSet(MysqlIO.java:2816)
at com.mysql.jdbc.MysqlIO.getResultSet(MysqlIO.java:467)
at com.mysql.jdbc.MysqlIO.readResultsForQueryOrUpdate(MysqlIO.java:2510)
at com.mysql.jdbc.MysqlIO.readAllResults(MysqlIO.java:1746)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2135)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2542)
at
com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1734)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:995)
at
org.apache.jackrabbit.core.journal.DatabaseJournal.getRecords(DatabaseJournal.java:460)
at
org.apache.jackrabbit.core.journal.AbstractJournal.doSync(AbstractJournal.java:201)
at
org.apache.jackrabbit.core.journal.AbstractJournal.sync(AbstractJournal.java:188)
at
org.apache.jackrabbit.core.cluster.ClusterNode.sync(ClusterNode.java:329)
at
org.apache.jackrabbit.core.cluster.ClusterNode.start(ClusterNode.java:270)
This can also happen to an existing host in the cluster when the number of
revisions returned is very high.
Possible solutions:
1. Cleaning old revisions using Janitor thread: This may be good for new hosts.
But it will fail in a scenario when sync delay is high (few hours) and number
of updates is high in existing hosts in the cluster
2. Increases memory allocated to Java process: This is not a feasible option
always
3. Limit the number of updates read from the DB in any cycle.
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