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Christian Winther commented on CASSANDRA-8167: ---------------------------------------------- I've seen similar - I've simply added {{code}} . /etc/cassandra/cassandra-env.sh {{code}} before "$JAVA" $JAVA_AGENT -ea -cp "$CLASSPATH" $JVM_OPTS \ -Dcassandra.storagedir="$cassandra_storagedir" \ -Dlogback.configurationFile=logback-tools.xml \ org.apache.cassandra.tools.StandaloneSplitter "$@" and remove all other JVM opts from the original execution > sstablesplit tool can be made much faster with few JVM settings > --------------------------------------------------------------- > > Key: CASSANDRA-8167 > URL: https://issues.apache.org/jira/browse/CASSANDRA-8167 > Project: Cassandra > Issue Type: Improvement > Components: Tools > Reporter: Nikolai Grigoriev > Priority: Trivial > > I had to use sstablesplit tool intensively to split some really huge > sstables. The tool is painfully slow as it does compaction in one single > thread. > I have just found that one one of my machines the tool has crashed when I was > almost done with 152Gb sstable (!!!). > {code} > INFO 16:59:22,342 Writing Memtable-compactions_in_progress@1948660572(0/0 > serialized/live bytes, 1 ops) > INFO 16:59:22,352 Completed flushing > /cassandra-data/disk1/system/compactions_in_progress/system-compactions_in_progress-jb-79242-Data.db > (42 bytes) for commitlog position ReplayPosition(segmentId=1413904450653, > position=69178) > Exception in thread "main" java.lang.OutOfMemoryError: GC overhead limit > exceeded > at java.nio.HeapByteBuffer.duplicate(HeapByteBuffer.java:107) > at > org.apache.cassandra.utils.ByteBufferUtil.readBytes(ByteBufferUtil.java:586) > at > org.apache.cassandra.utils.ByteBufferUtil.readBytesWithShortLength(ByteBufferUtil.java:596) > at > org.apache.cassandra.db.marshal.AbstractCompositeType.compare(AbstractCompositeType.java:61) > at > org.apache.cassandra.db.marshal.AbstractCompositeType.compare(AbstractCompositeType.java:36) > at > org.apache.cassandra.db.RangeTombstoneList$InOrderTester.isDeleted(RangeTombstoneList.java:751) > at > org.apache.cassandra.db.DeletionInfo$InOrderTester.isDeleted(DeletionInfo.java:422) > at > org.apache.cassandra.db.DeletionInfo$InOrderTester.isDeleted(DeletionInfo.java:403) > at > org.apache.cassandra.db.ColumnFamily.hasIrrelevantData(ColumnFamily.java:489) > at > org.apache.cassandra.db.compaction.PrecompactedRow.removeDeleted(PrecompactedRow.java:66) > at > org.apache.cassandra.db.compaction.PrecompactedRow.<init>(PrecompactedRow.java:85) > at > org.apache.cassandra.db.compaction.CompactionController.getCompactedRow(CompactionController.java:196) > at > org.apache.cassandra.db.compaction.CompactionIterable$Reducer.getReduced(CompactionIterable.java:74) > at > org.apache.cassandra.db.compaction.CompactionIterable$Reducer.getReduced(CompactionIterable.java:55) > at > org.apache.cassandra.utils.MergeIterator$OneToOne.computeNext(MergeIterator.java:204) > at > com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:143) > at > com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:138) > at > org.apache.cassandra.db.compaction.CompactionTask.runWith(CompactionTask.java:154) > at > org.apache.cassandra.io.util.DiskAwareRunnable.runMayThrow(DiskAwareRunnable.java:48) > at > org.apache.cassandra.utils.WrappedRunnable.run(WrappedRunnable.java:28) > at > org.apache.cassandra.db.compaction.CompactionTask.executeInternal(CompactionTask.java:60) > at > org.apache.cassandra.db.compaction.AbstractCompactionTask.execute(AbstractCompactionTask.java:59) > at > org.apache.cassandra.db.compaction.SSTableSplitter.split(SSTableSplitter.java:38) > at > org.apache.cassandra.tools.StandaloneSplitter.main(StandaloneSplitter.java:150) > {code} > This has triggered my desire to see what memory settings are used for JVM > running the tool...and I have found that it runs with default Java settings > (no settings at all). > I have tried to apply the settings from C* itself and this resulted in over > 40% speed increase. It went from ~5Mb/s to 7Mb/s - from the compressed output > perspective. I believe this is mostly due to concurrent GC. I see my CPU > usage has increased to ~200%. But this is fine, this is an offline tool, the > node is down anyway. I know that concurrent GC (at least something like > -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled) > normally improves the performance of even primitive single-threaded > heap-intensive Java programs. > I think it should be acceptable to apply the server JVM settings to this tool. -- This message was sent by Atlassian JIRA (v6.3.4#6332)