yarn 集群部署，遇到的问题小结

2022-10-19 14:12:45

版本号信息： hadoop 2.3.0 hive 0.11.0

1. Application Master 无法訪问

点击application mater 链接，出现 http 500 错误，java.lang.Connect.exception：

问题是因为设定web ui时，50030 port相应的ip地址为0.0.0.0，导致application master 链接无法定位。

解决的方法:

yarn-site.xml 文件

<description>The address of the RM web application.</description>

<name>yarn.resourcemanager.webapp.address</name>

<value>xxxxxxxxxx:50030</value>

</property>

这是2.3.0 的里面的一个bug 1811 ，2.4.0已经修复

2. History UI 无法訪问和 container 打不开

点击 Tracking URL:History无法訪问

问题是 history service 没有启动

解决的方法:

配置：选择（xxxxxxxxxx:
作为history sever）

<name>yarn.log-aggregation-enable</name>

</property>

<name>mapreduce.jobhistory.address</name>

<value>xxxxxxxxxx::10020</value>

</property>

<name>mapreduce.jobhistory.webapp.address</name>

<value>xxxxxxxxxx:19888</value>

</property>

sbin/mr-jobhistory-daemon.sh

start historyserver

3 yarn 平台的优化

设置
虚拟cpu的个数

<name>yarn.nodemanager.resource.cpu-vcores</name>

</property>

设置使用的内存

<name>yarn.nodemanager.resource.memory-mb</name>

<description>the amount of memory on the NodeManager in GB</description>

</property>

设置每一个任务最大使用的内存

<name>yarn.scheduler.maximum-allocation-mb</name>

<source>yarn-default.xml</source>

</property>

4 执行任务提示： Found interface org.apache.hadoop.mapreduce.Counter,
but class was expected

改动pom，又一次install

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-common</artifactId>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-mapreduce-client-core</artifactId>

</dependency>

<groupId>org.apache.mrunit</groupId>

<artifactId>mrunit</artifactId>

<classifier>hadoop2</classifier>

</dependency>

jdk 换成1.7

5 执行任务提示shuffle内存溢出Java heap space

2014-05-14 16:44:22,010 FATAL [IPC Server handler 4 on 44508] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Task: attempt_1400048775904_0006_r_000004_0 - exited : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3

at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134)

at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376)

at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)

at java.security.AccessController.doPrivileged(Native Method)

at javax.security.auth.Subject.doAs(Subject.java:415)

at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)

at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

Caused by: java.lang.OutOfMemoryError: Java heap space

at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:56)

at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:46)

at org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput.<init>(InMemoryMapOutput.java:63)

at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.unconditionalReserve(MergeManagerImpl.java:297)

at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.reserve(MergeManagerImpl.java:287)

at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:411)

at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:341)

at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:165)

来源： <http:/xxxxxxxxxx:19888/jobhistory/logs/ST-L09-05-back-tj-yarn15:8034/container_1400048775904_0006_01_000001/job_1400048775904_0006/hadoop/syslog/?start=0>

解决方法：

调低mapreduce.reduce.shuffle.memory.limit.percent的值
默觉得0.25 如今调成0.10

參考：

http://www.sqlparty.com/yarn%E5%9C%A8shuffle%E9%98%B6%E6%AE%B5%E5%86%85%E5%AD%98%E4%B8%8D%E8%B6%B3%E9%97%AE%E9%A2%98error-in-shuffle-in-fetcher/

6 reduce 任务的log 中间发现：

2014-05-14 17:51:21,835 WARN [Readahead Thread #2] org.apache.hadoop.io.ReadaheadPool: Failed readahead on ifile

EINVAL: Invalid argument

at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posix_fadvise(Native Method)

at org.apache.hadoop.io.nativeio.NativeIO$POSIX.posixFadviseIfPossible(NativeIO.java:263)

at org.apache.hadoop.io.nativeio.NativeIO$POSIX$CacheManipulator.posixFadviseIfPossible(NativeIO.java:142)

at org.apache.hadoop.io.ReadaheadPool$ReadaheadRequestImpl.run(ReadaheadPool.java:206)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:745)

来源： <http://xxxxxxxxxx:8042/node/containerlogs/container_1400060792764_0001_01_000726/hadoop/syslog/?start=-4096>

ps：错误没有再现，暂无解决方法

7 hive 任务

java.lang.InstantiationException: org.antlr.runtime.CommonToken

Continuing ...

java.lang.RuntimeException: failed to evaluate: <unbound>=Class.new();

參考:https://issues.apache.org/jira/browse/HIVE-4222s

8 hive 任务自己主动把join装换mapjoin时内存溢出，解决方法：关闭自己主动装换，11前的版本号默认值为false，后面的为true;

在任务脚本里面加上：set
hive.auto.convert.join=false;

或者在hive-site.xml 配上为false；

出错日志：

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

2014-05-15 02:40:58 Starting to launch local task to process map join; maximum memory = 1011351552

2014-05-15 02:41:00 Processing rows: 200000 Hashtable size: 199999 Memory usage: 110092544 rate: 0.109

2014-05-15 02:41:01 Processing rows: 300000 Hashtable size: 299999 Memory usage: 229345424 rate: 0.227

2014-05-15 02:41:01 Processing rows: 400000 Hashtable size: 399999 Memory usage: 170296368 rate: 0.168

2014-05-15 02:41:01 Processing rows: 500000 Hashtable size: 499999 Memory usage: 285961568 rate: 0.283

2014-05-15 02:41:02 Processing rows: 600000 Hashtable size: 599999 Memory usage: 408727616 rate: 0.404

2014-05-15 02:41:02 Processing rows: 700000 Hashtable size: 699999 Memory usage: 333867920 rate: 0.33

2014-05-15 02:41:02 Processing rows: 800000 Hashtable size: 799999 Memory usage: 459541208 rate: 0.454

2014-05-15 02:41:03 Processing rows: 900000 Hashtable size: 899999 Memory usage: 391524456 rate: 0.387

2014-05-15 02:41:03 Processing rows: 1000000 Hashtable size: 999999 Memory usage: 514140152 rate: 0.508

2014-05-15 02:41:03 Processing rows: 1029052 Hashtable size: 1029052 Memory usage: 546126888 rate: 0.54

2014-05-15 02:41:03 Dump the hashtable into file: file:/tmp/hadoop/hive_2014-05-15_14-40-53_413_3806680380261480764/-local-10002/HashTable-Stage-4/MapJoin-mapfile01--.hashtable

2014-05-15 02:41:06 Upload 1 File to: file:/tmp/hadoop/hive_2014-05-15_14-40-53_413_3806680380261480764/-local-10002/HashTable-Stage-4/MapJoin-mapfile01--.hashtable File size: 68300588

2014-05-15 02:41:06 End of local task; Time Taken: 8.301 sec.

Execution completed successfully

Mapred Local Task Succeeded . Convert the Join into MapJoin

Launching Job 2 out of 2

log出错日志：

2014-05-15 13:52:54,007 FATAL [main] org.apache.hadoop.mapred.YarnChild: Error running child : java.lang.OutOfMemoryError: Java heap space

at java.io.ObjectInputStream$HandleTable.grow(ObjectInputStream.java:3465)

at java.io.ObjectInputStream$HandleTable.assign(ObjectInputStream.java:3271)

at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1789)

at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)

at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)

at java.util.HashMap.readObject(HashMap.java:1183)

at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)

at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.invoke(Method.java:606)

at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)

at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)

at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)

at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)

at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)

at org.apache.hadoop.hive.ql.exec.persistence.HashMapWrapper.initilizePersistentHash(HashMapWrapper.java:128)

at org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTable(MapJoinOperator.java:194)

at org.apache.hadoop.hive.ql.exec.MapJoinOperator.cleanUpInputFileChangedOp(MapJoinOperator.java:212)

at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1377)

at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1381)

来源： <http://xxxxxxxxxx:19888/jobhistory/logs/ST-L09-10-back-tj-yarn21:8034/container_1400064445468_0013_01_000002/attempt_1400064445468_0013_m_000000_0/hadoop/syslog/?start=0>

9 hive执行时提示：
failed to evaluate: <unbound>=Class.new(); ，升级到0.13.0

參考https://issues.apache.org/jira/browse/HIVE-4222

https://issues.apache.org/jira/browse/HIVE-3739

SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings
for an explanation.SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]OKTime taken: 2.28 secondsjava.lang.InstantiationException: org.antlr.runtime.CommonTokenContinuing ...java.lang.RuntimeException: failed to evaluate: <unbound>=Class.new();Continuing
...java.lang.InstantiationException: org.antlr.runtime.CommonTokenContinuing ...java.lang.RuntimeException: failed to evaluate: <unbound>=Class.new();Continuing ...java.lang.InstantiationException: org.antlr.runtime.CommonTokenContinuing ...java.lang.RuntimeException:
failed to evaluate: <unbound>=Class.new();Continuing ...java.lang.InstantiationException: org.antlr.runtime.CommonTokenContinuing ...java.lang.RuntimeException: failed to evaluate: <unbound>=Class.new();Continuing ...java.lang.InstantiationException: org.antlr.runtime.CommonTokenContinuing
...

这个应该升级后能解决，只是不知道为什么我升级12.0 和13.0 ，一执行就报错fileNotfundHIVE_PLANxxxxxxxxx
。ps （參考11）应该是我配置有问题，暂无解决方法。

10 hive 创建表或者数据库的时候 Couldnt
obtain a new sequence (unique id) : You have an error in your SQL syntax

解决方法：这个是由于hive元数据库的名字是yarn-hive, sql中中划线是关键词，所以sql错误。把数据库名去掉中划线，问题解决。

错误日志：

FAILED: Error in metadata: MetaException(message:javax.jdo.JDOException: Couldnt obtain a new sequence (unique id) : You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '-hive.`SEQUENCE_TABLE`
WHERE `SEQUENCE_NAME`='org.apache.hadoop.hive.metastore.m' at line 1

at org.datanucleus.api.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(NucleusJDOHelper.java:596)

at org.datanucleus.api.jdo.JDOPersistenceManager.jdoMakePersistent(JDOPersistenceManager.java:732)

at org.datanucleus.api.jdo.JDOPersistenceManager.makePersistent(JDOPersistenceManager.java:752)

at org.apache.hadoop.hive.metastore.ObjectStore.createTable(ObjectStore.java:643)

at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)

at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.invoke(Method.java:606)

at org.apache.hadoop.hive.metastore.RetryingRawStore.invoke(RetryingRawStore.java:111)

at com.sun.proxy.$Proxy14.createTable(Unknown Source)

at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.create_table_core(HiveMetaStore.java:1070)

at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.create_table_with_environment_context(HiveMetaStore.java:1103)

at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)

at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.invoke(Method.java:606)

at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:103)

at com.sun.proxy.$Proxy15.create_table_with_environment_context(Unknown Source)

at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.createTable(HiveMetaStoreClient.java:466)

at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.createTable(HiveMetaStoreClient.java:455)

at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)

at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.invoke(Method.java:606)

at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:74)

at com.sun.proxy.$Proxy16.createTable(Unknown Source)

at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:597)

at org.apache.hadoop.hive.ql.exec.DDLTask.createTable(DDLTask.java:3777)

at org.apache.hadoop.hive.ql.exec.DDLTask.execute(DDLTask.java:256)

at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:144)

at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:57)

at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1362)

at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1146)

at org.apache.hadoop.hive.ql.Driver.run(Driver.java:952)

at shark.SharkCliDriver.processCmd(SharkCliDriver.scala:338)

at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413)

at shark.SharkCliDriver$.main(SharkCliDriver.scala:235)

at shark.SharkCliDriver.main(SharkCliDriver.scala)

NestedThrowablesStackTrace:

com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '-hive.`SEQUENCE_TABLE` WHERE `SEQUENCE_NAME`='org.apache.hadoop.hive.metastore.m'
at line 1

at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)

at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)

at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)

at java.lang.reflect.Constructor.newInstance(Constructor.java:526)

at com.mysql.jdbc.Util.handleNewInstance(Util.java:406)

at com.mysql.jdbc.Util.getInstance(Util.java:381)

at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:1030)

at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:956)

at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3558)

at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3490)

at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1959)

at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2109)

at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2648)

at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2077)

at com.mysql.jdbc.PreparedStatement.executeQuery(PreparedStatement.java:2228)

at org.apache.commons.dbcp.DelegatingPreparedStatement.executeQuery(DelegatingPreparedStatement.java:96)

at org.datanucleus.store.rdbms.ParamLoggingPreparedStatement.executeQuery(ParamLoggingPreparedStatement.java:381)

at org.datanucleus.store.rdbms.SQLController.executeStatementQuery(SQLController.java:504)

at org.datanucleus.store.rdbms.valuegenerator.SequenceTable.getNextVal(SequenceTable.java:197)

at org.datanucleus.store.rdbms.valuegenerator.TableGenerator.reserveBlock(TableGenerator.java:190)

at org.datanucleus.store.valuegenerator.AbstractGenerator.reserveBlock(AbstractGenerator.java:305)

at org.datanucleus.store.rdbms.valuegenerator.AbstractRDBMSGenerator.obtainGenerationBlock(AbstractRDBMSGenerator.java:170)

at org.datanucleus.store.valuegenerator.AbstractGenerator.obtainGenerationBlock(AbstractGenerator.java:197)

at org.datanucleus.store.valuegenerator.AbstractGenerator.next(AbstractGenerator.java:105)

at org.datanucleus.store.rdbms.RDBMSStoreManager.getStrategyValueForGenerator(RDBMSStoreManager.java:2019)

at org.datanucleus.store.AbstractStoreManager.getStrategyValue(AbstractStoreManager.java:1385)

at org.datanucleus.ExecutionContextImpl.newObjectId(ExecutionContextImpl.java:3727)

at org.datanucleus.state.JDOStateManager.setIdentity(JDOStateManager.java:2574)

at org.datanucleus.state.JDOStateManager.initialiseForPersistentNew(JDOStateManager.java:526)

at org.datanucleus.state.ObjectProviderFactoryImpl.newForPersistentNew(ObjectProviderFactoryImpl.java:202)

at org.datanucleus.ExecutionContextImpl.newObjectProviderForPersistentNew(ExecutionContextImpl.java:1326)

at org.datanucleus.ExecutionContextImpl.persistObjectInternal(ExecutionContextImpl.java:2123)

at org.datanucleus.ExecutionContextImpl.persistObjectWork(ExecutionContextImpl.java:1972)

at org.datanucleus.ExecutionContextImpl.persistObject(ExecutionContextImpl.java:1820)

at org.datanucleus.ExecutionContextThreadedImpl.persistObject(ExecutionContextThreadedImpl.java:217)

at org.datanucleus.api.jdo.JDOPersistenceManager.jdoMakePersistent(JDOPersistenceManager.java:727)

at org.datanucleus.api.jdo.JDOPersistenceManager.makePersistent(JDOPersistenceManager.java:752)

at org.apache.hadoop.hive.metastore.ObjectStore.createTable(ObjectStore.java:643)

11 安装hive 12 和13 后，执行任务报错提示：FileNotFoundException:
HIVE_PLAN

解决方法：可能是hive一个bug，也可能那里配置错了，待解决

错误日志

2014-05-16 10:27:07,896 INFO [main] org.apache.hadoop.mapred.MapTask: Processing split: Paths:/user/hive/warehouse/game_predata.db/game_login_log/dt=0000-00-00/000000_0:201326592+60792998,/user/hive/warehouse/game_predata.db/game_login_log/dt=0000-00-00/000001_0_copy_1:201326592+58503492,/user/hive/warehouse/game_predata.db/game_login_log/dt=0000-00-00/000001_0_copy_2:67108864+67108864,/user/hive/warehouse/game_predata.db/game_login_log/dt=0000-00-00/000001_0_copy_2:134217728+67108864,/user/hive/warehouse/game_predata.db/game_login_log/dt=0000-00-00/000002_0_copy_1:67108864+67108864InputFormatClass:
org.apache.hadoop.mapred.TextInputFormat

2014-05-16 10:27:07,954 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : java.lang.RuntimeException: java.io.FileNotFoundException: HIVE_PLAN14c8af69-0156-4633-9273-6a812eb91a4c (没有那个文件或文件夹)

at org.apache.hadoop.hive.ql.exec.Utilities.getMapRedWork(Utilities.java:230)

at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:255)

at org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:381)

at org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:374)

at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:540)

at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.<init>(MapTask.java:168)

at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:409)

at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)

at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)

at java.security.AccessController.doPrivileged(Native Method)

at javax.security.auth.Subject.doAs(Subject.java:415)

at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)

at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)

Caused by: java.io.FileNotFoundException: HIVE_PLAN14c8af69-0156-4633-9273-6a812eb91a4c (没有那个文件或文件夹)

at java.io.FileInputStream.open(Native Method)

at java.io.FileInputStream.<init>(FileInputStream.java:146)

at java.io.FileInputStream.<init>(FileInputStream.java:101)

at org.apache.hadoop.hive.ql.exec.Utilities.getMapRedWork(Utilities.java:221)

... 12 more

2014-05-16 10:27:07,957 INFO [main] org.apache.hadoop.mapred.Task: Runnning cleanup for the task

来源： <http://s xxxxxxxxxx:19888/jobhistory/logs/ST-L10-10-back-tj-yarn10:8034/container_1400136017046_0026_01_000030/attempt_1400136017046_0026_m_000000_0/hadoop>

12java.lang.OutOfMemoryError:
GC overhead limit exceeded

分析：这个是JDK6新添的错误类型。是发生在GC占用大量时间为释放非常小空间的时候发生的，是一种保护机制。解决方式是，关闭该功能，能够加入JVM的启动參数来限制使用内存： -XX:-UseGCOverheadLimit

加入位置是：mapred-site.xml 里新增项：mapred.child.java.opts 内容：-XX:-UseGCOverheadLimit

来源： <http://www.cnblogs.com/niocai/archive/2012/07/31/2616252.html>

參考14

13hive
hive 0.10.0为了运行效率考虑，简单的查询，就是仅仅是select，不带count,sum,group by这种，都不走map/reduce，直接读取hdfs文件进行filter过滤。这样做的优点就是不新开mr任务，运行效率要提高不少，可是不好的地方就是用户界面不友好，有时候数据量大还是要等非常长时间，可是又没有不论什么返回。

改这个非常easy，在hive-site.xml里面有个配置參数叫

hive.fetch.task.conversion

将这个參数设置为more，简单查询就不走map/reduce了，设置为minimal，就不论什么简单select都会走map/reduce。

来源： <http://slaytanic.blog.51cto.com/2057708/1170431>

參考14

14 执行mr 任务的时候提示：

错误日志

Container [pid=30486,containerID=container_1400229396615_0011_01_000012] is running beyond physical memory limits. Current usage: 1.0 GB of 1 GB physical memory used; 1.7 GB of 2.1 GB virtual memory used. Killing container. Dump of the process-tree for container_1400229396615_0011_01_000012 : |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE |- 30501 30486 30486 30486 (java) 3924 322 1720471552 262096 /opt/jdk1.7.0_55/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx1024m -XX:-UseGCOverheadLimit -Djava.io.tmpdir=/home/nodemanager/local/usercache/hadoop/appcache/application_1400229396615_0011/container_1400229396615_0011_01_000012/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/home/hadoop/logs/nodemanager/logs/application_1400229396615_0011/container_1400229396615_0011_01_000012 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA org.apache.hadoop.mapred.YarnChild 30.30.30.39 47925 attempt_1400229396615_0011_m_000000_0 12 |- 30486 12812 30486 30486 (bash) 0 0 108642304 302 /bin/bash -c /opt/jdk1.7.0_55/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx1024m -XX:-UseGCOverheadLimit -Djava.io.tmpdir=/home/nodemanager/local/usercache/hadoop/appcache/application_1400229396615_0011/container_1400229396615_0011_01_000012/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/home/hadoop/logs/nodemanager/logs/application_1400229396615_0011/container_1400229396615_0011_01_000012 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA org.apache.hadoop.mapred.YarnChild 30.30.30.39 47925 attempt_1400229396615_0011_m_000000_0 12 1>/home/hadoop/logs/nodemanager/logs/application_1400229396615_0011/container_1400229396615_0011_01_000012/stdout 2>/home/hadoop/logs/nodemanager/logs/application_1400229396615_0011/container_1400229396615_0011_01_000012/stderr Container killed on request. Exit code is 143 Container exited with a non-zero exit code 143

来源： <http://xxxxxxxxxx:50030/proxy/application_1400229396615_0011/mapreduce/attempts/job_1400229396615_0011/m/FAILED>

解决方法：

以下的參数是关于mapreduce任务执行时的内存设置，假设有的任务须要可单独配置，就统一配置了。假设有container被kill 能够适当调高

mapreduce.map.memory.mb map任务的最大内存

mapreduce.map.java.opts -Xmx1024M map任务jvm的參数

mapreduce.reduce.memory.mb reduce任务的最大内存

mapreduce.reduce.java.opts -Xmx2560M reduce任务jvm的參数

mapreduce.task.io.sort.mb 512 Higher memory-limit while sorting data for efficiency.

摘自：http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html#Configuring_the_Hadoop_Daemons_in_Non-Secure_Mode

关闭内存检測进程：

是在搞不清楚问什么有的任务就物理内存200多MB ，虚拟内存就飙到2.7G了，预计内存检測进程有问题，并且我有的任务是须要大内存的，为了进度，索性关了，一下子解决全部内存问题。

yarn.nodemanager.pmem-check-enabled false

yarn.nodemanager.vmem-check-enabled false

15 yarn 的webUI 有关的调整：

1 cluser 页面 application的starttime 和finishtime 都是 UTC格式，改成 +8区时间也就是北京时间。

./share/hadoop/yarn/hadoop-yarn-common-2.3.0.jar
里面的webapps.static.yarn.dt.plugins.js

或者源代码包里面：/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-common/src/main/resources/webapps/static/yarn.dt.plugins.js

加入代码：

Date.prototype.Format = function (fmt) { //author: meizz

    var o = {

        "M+": this.getMonth() + 1, //月份

        "d+": this.getDate(), //日

        "h+": this.getHours(), //小时

        "m+": this.getMinutes(), //分

        "s+": this.getSeconds(), //秒

        "q+": Math.floor((this.getMonth() + 3) / 3), //季度

        "S": this.getMilliseconds() //毫秒

    };

    if (/(y+)/.test(fmt)) fmt = fmt.replace(RegExp.$1, (this.getFullYear() + "").substr(4 - RegExp.$1.length));

    for (var k in o)

    if (new RegExp("(" + k + ")").test(fmt)) fmt = fmt.replace(RegExp.$1, (RegExp.$1.length == 1) ? (o[k]) : (("00" + o[k]).substr(("" + o[k]).length)));

    return fmt;

};

同一时候按以下改动下的代码

function renderHadoopDate(data, type, full)

{ if (type === 'display' || type === 'filter') { if(data === '0') { return "N/A"; }

return new Date(parseInt(data)).Format("yyyy-MM-dd hh:mm:ss"); }

16 MR1的任务用到DistributedCache 的任务迁移到MR2上出错。原来我里面使用文件名称区分不同的缓存文件，MR2里面分发文件以后仅仅保留的文件名称如：

application_xxxxxxx/container_14xxxx/part-m-00000

application_xxxxxxx/container_14xxxx/part-m-00001

application_xxxxxxx/container_14xxxx/00000_0

解决方法：每一个缓存文件加入符号链接，链接为父级名字+文件名称

DistributedCache.addCacheFile(new URI(path.toString() + "#"+ path.getParent().getName() + "_" + path.getName()),

configuration);

这样就会生成带有文件名称的缓存文件

未完待续

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