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Posted to issues@flink.apache.org by "Ufuk Celebi (JIRA)" <ji...@apache.org> on 2016/01/13 11:21:39 UTC

[jira] [Commented] (FLINK-2865) OutOfMemory error (Direct buffer memory)

    [ https://issues.apache.org/jira/browse/FLINK-2865?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15095950#comment-15095950 ] 

Ufuk Celebi commented on FLINK-2865:
------------------------------------

This commit might have been related: d92e422ec7089376583a8f57043274d236c340a4.

> OutOfMemory error (Direct buffer memory)
> ----------------------------------------
>
>                 Key: FLINK-2865
>                 URL: https://issues.apache.org/jira/browse/FLINK-2865
>             Project: Flink
>          Issue Type: Bug
>          Components: Distributed Runtime
>    Affects Versions: 0.10.0
>            Reporter: Greg Hogan
>            Assignee: Maximilian Michels
>             Fix For: 0.10.0
>
>
> I see the following TaskManager error when using off-heap memory and a relatively high number of network buffers. Setting {{taskmanager.memory.off-heap: false}} or halving the number of network buffers (6 GB instead of 12 GB) results in a successful start.
> {noformat}
> 18:17:25,912 WARN  org.apache.hadoop.util.NativeCodeLoader                       - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
> 18:17:26,024 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - --------------------------------------------------------------------------------
> 18:17:26,024 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  Starting TaskManager (Version: 0.10-SNAPSHOT, Rev:d047ddb, Date:18.10.2015 @ 08:54:59 UTC)
> 18:17:26,025 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  Current user: ec2-user
> 18:17:26,025 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  JVM: Java HotSpot(TM) 64-Bit Server VM - Oracle Corporation - 1.8/25.60-b23
> 18:17:26,025 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  Maximum heap size: 5104 MiBytes
> 18:17:26,025 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  JAVA_HOME: /usr/java/latest
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  Hadoop version: 2.3.0
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  JVM Options:
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -Xms5325M
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -Xmx5325M
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -XX:MaxDirectMemorySize=53248M
> 18:17:26,026 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -Dlog.file=/home/ec2-user/flink/log/flink-ec2-user-taskmanager-0-ip-10-0-98-3.log
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -Dlog4j.configuration=file:/home/ec2-user/flink/conf/log4j.properties
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     -Dlogback.configurationFile=file:/home/ec2-user/flink/conf/logback.xml
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -  Program Arguments:
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     --configDir
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     /home/ec2-user/flink/conf
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     --streamingMode
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              -     batch
> 18:17:26,027 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - --------------------------------------------------------------------------------
> 18:17:26,033 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Maximum number of open file descriptors is 1048576
> 18:17:26,051 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Loading configuration from /home/ec2-user/flink/conf
> 18:17:26,079 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Security is not enabled. Starting non-authenticated TaskManager.
> 18:17:26,094 INFO  org.apache.flink.runtime.util.LeaderRetrievalUtils            - Trying to select the network interface and address to use by connecting to the leading JobManager.
> 18:17:26,094 INFO  org.apache.flink.runtime.util.LeaderRetrievalUtils            - TaskManager will try to connect for 10000 milliseconds before falling back to heuristics
> 18:17:26,097 INFO  org.apache.flink.runtime.net.ConnectionUtils                  - Retrieved new target address /127.0.0.1:6123.
> 18:17:26,461 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - TaskManager will use hostname/address 'ip-10-0-98-3' (10.0.98.3) for communication.
> 18:17:26,462 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Starting TaskManager in streaming mode BATCH_ONLY
> 18:17:26,462 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Starting TaskManager actor system at 10.0.98.3:0
> 18:17:26,735 INFO  akka.event.slf4j.Slf4jLogger                                  - Slf4jLogger started
> 18:17:26,767 INFO  Remoting                                                      - Starting remoting
> 18:17:26,877 INFO  Remoting                                                      - Remoting started; listening on addresses :[akka.tcp://flink@10.0.98.3:47484]
> 18:17:26,881 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Starting TaskManager actor
> 18:17:26,925 INFO  org.apache.flink.runtime.io.network.netty.NettyConfig         - NettyConfig [server address: ip-10-0-98-3/10.0.98.3, server port: 45728, memory segment size (bytes): 32768, transport type: NIO, number of server threads: 0 (use Netty's default), number of client threads: 0 (use Netty's default), server connect backlog: 0 (use Netty's default), client connect timeout (sec): 120, send/receive buffer size (bytes): 0 (use Netty's default)]
> 18:17:26,927 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Messages between TaskManager and JobManager have a max timeout of 100000 milliseconds
> 18:17:26,931 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Temporary file directory '/volumes/xvdb/tmp': total 319 GB, usable 319 GB (100.00% usable)
> 18:17:26,931 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Temporary file directory '/volumes/xvdc/tmp': total 319 GB, usable 319 GB (100.00% usable)
> 18:17:32,194 INFO  org.apache.flink.runtime.io.network.buffer.NetworkBufferPool  - Allocated 12288 MB for network buffer pool (number of memory segments: 393216, bytes per segment: 32768).
> 18:17:32,195 INFO  org.apache.flink.runtime.taskmanager.TaskManager              - Using 0.9 of the maximum memory size for Flink managed off-heap memory (45940 MB).
> 18:17:50,371 ERROR org.apache.flink.runtime.taskmanager.TaskManager              - Error while starting up taskManager
> java.lang.Exception: OutOfMemory error (Direct buffer memory) while allocating the TaskManager off-heap memory (48172092966 bytes). Try increasing the maximum direct memory (-XX:MaxDirectMemorySize)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.startTaskManagerComponentsAndActor(TaskManager.scala:1633)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.runTaskManager(TaskManager.scala:1460)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.selectNetworkInterfaceAndRunTaskManager(TaskManager.scala:1325)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.main(TaskManager.scala:1235)
> 	at org.apache.flink.runtime.taskmanager.TaskManager.main(TaskManager.scala)
> Caused by: java.lang.OutOfMemoryError: Direct buffer memory
> 	at java.nio.Bits.reserveMemory(Bits.java:658)
> 	at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123)
> 	at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311)
> 	at org.apache.flink.runtime.memory.MemoryManager$HybridOffHeapMemoryPool.<init>(MemoryManager.java:661)
> 	at org.apache.flink.runtime.memory.MemoryManager.<init>(MemoryManager.java:166)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.startTaskManagerComponentsAndActor(TaskManager.scala:1618)
> 	... 4 more
> 18:17:50,374 ERROR org.apache.flink.runtime.taskmanager.TaskManager              - Failed to run TaskManager.
> java.lang.Exception: OutOfMemory error (Direct buffer memory) while allocating the TaskManager off-heap memory (48172092966 bytes). Try increasing the maximum direct memory (-XX:MaxDirectMemorySize)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.startTaskManagerComponentsAndActor(TaskManager.scala:1633)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.runTaskManager(TaskManager.scala:1460)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.selectNetworkInterfaceAndRunTaskManager(TaskManager.scala:1325)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.main(TaskManager.scala:1235)
> 	at org.apache.flink.runtime.taskmanager.TaskManager.main(TaskManager.scala)
> Caused by: java.lang.OutOfMemoryError: Direct buffer memory
> 	at java.nio.Bits.reserveMemory(Bits.java:658)
> 	at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123)
> 	at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311)
> 	at org.apache.flink.runtime.memory.MemoryManager$HybridOffHeapMemoryPool.<init>(MemoryManager.java:661)
> 	at org.apache.flink.runtime.memory.MemoryManager.<init>(MemoryManager.java:166)
> 	at org.apache.flink.runtime.taskmanager.TaskManager$.startTaskManagerComponentsAndActor(TaskManager.scala:1618)
> 	... 4 more
> {noformat}
> {noformat}
> ################################################################################
> #  Licensed to the Apache Software Foundation (ASF) under one
> #  or more contributor license agreements.  See the NOTICE file
> #  distributed with this work for additional information
> #  regarding copyright ownership.  The ASF licenses this file
> #  to you under the Apache License, Version 2.0 (the
> #  "License"); you may not use this file except in compliance
> #  with the License.  You may obtain a copy of the License at
> #
> #      http://www.apache.org/licenses/LICENSE-2.0
> #
> #  Unless required by applicable law or agreed to in writing, software
> #  distributed under the License is distributed on an "AS IS" BASIS,
> #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
> #  See the License for the specific language governing permissions and
> # limitations under the License.
> ################################################################################
> jobmanager.web.history: 50
> taskmanager.debug.memory.startLogThread: true
> taskmanager.debug.memory.logIntervalMs: 1000
> taskmanager.memory.fraction: 0.9
> taskmanager.memory.off-heap: true
> taskmanager.runtime.hashjoin-bloom-filters: true
> taskmanager.runtime.max-fan: 1024
> #==============================================================================
> # Common
> #==============================================================================
> # The host on which the JobManager runs. Only used in non-high-availability mode.
> # The JobManager process will use this hostname to bind the listening servers to.
> # The TaskManagers will try to connect to the JobManager on that host.
> jobmanager.rpc.address: localhost
> # The port where the JobManager's main actor system listens for messages.
> jobmanager.rpc.port: 6123
> # The heap size for the JobManager JVM
> jobmanager.heap.mb: 1024
> # The heap size for the TaskManager JVM
> taskmanager.heap.mb: 53248
> # The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.
> taskmanager.numberOfTaskSlots: 32
> # The parallelism used for programs that did not specify and other parallelism.
> parallelism.default: 32
> #==============================================================================
> # Web Frontend
> #==============================================================================
> # The port under which the web-based runtime monitor listens.
> # A value of -1 deactivates the web server.
> jobmanager.web.port: 8081
> # The port uder which the standalone web client
> # (for job upload and submit) listens.
> webclient.port: 8080
> # Temporary: Uncomment this to be able to use the new web frontend
> jobmanager.new-web-frontend: true
> #==============================================================================
> # Streaming state checkpointing
> #==============================================================================
> # The backend that will be used to store operator state checkpoints if 
> # checkpointing is enabled. 
> #
> # Supported backends: jobmanager, filesystem
> state.backend: jobmanager
> # Directory for storing checkpoints in a flink supported filesystem
> # Note: State backend must be accessible from the JobManager, use file://
> # only for local setups. 
> #
> # state.backend.fs.checkpointdir: hdfs://checkpoints
> #==============================================================================
> # Advanced
> #==============================================================================
> # The number of buffers for the network stack.
> taskmanager.network.numberOfBuffers: 393216
> # Directories for temporary files.
> #
> # Add a delimited list for multiple directories, using the system directory
> # delimiter (colon ':' on unix) or a comma, e.g.:
> #     /data1/tmp:/data2/tmp:/data3/tmp
> #
> # Note: Each directory entry is read from and written to by a different I/O
> # thread. You can include the same directory multiple times in order to create
> # multiple I/O threads against that directory. This is for example relevant for
> # high-throughput RAIDs.
> #
> # If not specified, the system-specific Java temporary directory (java.io.tmpdir
> # property) is taken.
> taskmanager.tmp.dirs: /volumes/xvdb/tmp:/volumes/xvdc/tmp
> # Path to the Hadoop configuration directory.
> #
> # This configuration is used when writing into HDFS. Unless specified otherwise,
> # HDFS file creation will use HDFS default settings with respect to block-size,
> # replication factor, etc.
> #
> # You can also directly specify the paths to hdfs-default.xml and hdfs-site.xml
> # via keys 'fs.hdfs.hdfsdefault' and 'fs.hdfs.hdfssite'.
> #
> # fs.hdfs.hadoopconf: /path/to/hadoop/conf/
> #==============================================================================
> # High Availability
> #==============================================================================
> # The list of ZooKepper quorum peers that coordinate the high-availability
> # setup. This must be a list of the form
> # "host_1[:peerPort[:leaderPort]],host_2[:peerPort[:leaderPort]],..."
> #
> # recovery.mode: zookeeper
> #
> # ha.zookeeper.quorum: localhost
> {noformat}



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