Cool, enjoy apache kylin! 2017-04-20 14:36 GMT+08:00 35925138 <[email protected]>:
> 非常感谢，问题已经解决，原因是我的hadoop2.6.0在执行mr任务时，无法获取classpath，导致加载不到hadoop_lzo.jar > 我看了一下yarn-site.xml，发现了一个配置mapreduce.application.classpath，可以用来指定classpath, > 修改此项，或者将hadoop_lzo.jar复制到$HADOOP_HOME/share/hadoop/mapreduce/lib/下即可， > 该目录是mapreduce.application.classpath配置的默认目录 > > > > > ------------------ 原始邮件 ------------------ > 发件人: "ShaoFeng Shi";<[email protected]>; > 发送时间: 2017年4月20日(星期四) 上午9:08 > 收件人: "dev"<[email protected]>; > > 主题: Re: 答复: 回复：答复: Error: java.io.IOException: Unable to initialize any > output collector > > > > Hive is Kylin's source, not computing engine; Kylin starts its own MR jobs > to build the cube. If need specify additional parameters into MR jobs, add > them in conf/kylin_job*.xml, or you can customize them at cube level: > https://kylin.apache.org/docs20/install/advance_settings.html > > 2017-04-19 16:24 GMT+08:00 35925138 <[email protected]>: > > > kylin.hbase.default.compression.codec=lzo > > > > <property> > > <name>mapreduce.map.output.compress.codec</name> > > <value>com.hadoop.compression.lzo.LzoCodec</value> > > <description></description> > > </property> > > > > <property> > > <name>mapreduce.output.fileoutputformat.compress.codec</name> > > <value>com.hadoop.compression.lzo.LzoCodec</value> > > <description></description> > > </property> > > > > > > > > 应该是这样修改吧。 > > > > > > > > > > ------------------ 原始邮件 ------------------ > > 发件人: "ShaoFeng Shi";<[email protected]>; > > 发送时间: 2017年4月19日(星期三) 下午3:40 > > 收件人: "dev"<[email protected]>; > > > > 主题: Re: 答复: 回复：答复: Error: java.io.IOException: Unable to initialize any > > output collector > > > > > > > > To change use lzo: > > 1) Hive/MR compression: search "SnappyCodec" in conf/*.xml file, replace > > them with lzo's codec > > 2) HBase compression: in conf/kylin.properties, set > > "kylin.hbase.default.compression.codec" to "lzo" > > > > 2017-04-19 10:56 GMT+08:00 35925138 <[email protected]>: > > > > > 这个问题，我通过设置hive-site.xml里的hive.aux.jars.path，将hadoop- > > lzo的那几个jar强行写进去，解决的，不过在build > > > cube的第三步，有爆出了这样的错误， > > > yarn里爆出的错误为： > > > Error: java.io.IOException: Unable to initialize any output collector > at > > > org.apache.hadoop.mapred.MapTask.createSortingCollector( > > MapTask.java:412) > > > at org.apache.hadoop.mapred.MapTask.access$100(MapTask.java:81) at > > > org.apache.hadoop.mapred.MapTask$NewOutputCollector.< > > init>(MapTask.java:695) > > > at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:767) at > > > org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at > > > org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163) at > > > java.security.AccessController.doPrivileged(Native Method) at > > > javax.security.auth.Subject.doAs(Subject.java:422) at > > > org.apache.hadoop.security.UserGroupInformation.doAs( > > > UserGroupInformation.java:1628) at org.apache.hadoop.mapred. > > > YarnChild.main(YarnChild.java:158) Container killed by the > > > ApplicationMaster. Container killed on request. Exit code is 143 > > Container > > > exited with a non-zero exit code 143 > > > > > > 我查看日志，日志中有这样的信息 > > > > > > 2017-04-19 10:48:15,875 WARN [main] org.apache.hadoop.mapred.MapTask: > > > Unable to initialize MapOutputCollector org.apache.hadoop.mapred. > > > MapTask$MapOutputBuffer > > > java.lang.IllegalArgumentException: Compression codec > > > com.hadoop.compression.lzo.LzoCodec was not found. > > > at org.apache.hadoop.mapred.JobConf. > getMapOutputCompressorClass( > > > JobConf.java:798) > > > at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.init( > > > MapTask.java:1019) > > > at org.apache.hadoop.mapred.MapTask.createSortingCollector( > > > MapTask.java:401) > > > at org.apache.hadoop.mapred.MapTask.access$100(MapTask. > java:81) > > > at org.apache.hadoop.mapred.MapTask$NewOutputCollector.< > > > init>(MapTask.java:695) > > > at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask. > > java:767) > > > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) > > > at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild. > java:163) > > > at java.security.AccessController.doPrivileged(Native Method) > > > at javax.security.auth.Subject.doAs(Subject.java:422) > > > at org.apache.hadoop.security.UserGroupInformation.doAs( > > > UserGroupInformation.java:1628) > > > at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158) > > > Caused by: java.lang.ClassNotFoundException: Class > > > com.hadoop.compression.lzo.LzoCodec not found > > > at org.apache.hadoop.conf.Configuration.getClassByName( > > > Configuration.java:1980) > > > at org.apache.hadoop.mapred.JobConf. > getMapOutputCompressorClass( > > > JobConf.java:796) > > > ... 11 more > > > > > > 我在hadoop中，执行hadoop/bin/hadoop checknative -a > > > 给出的信息为： > > > 17/04/19 09:55:10 WARN bzip2.Bzip2Factory: Failed to load/initialize > > > native-bzip2 library system-native, will use pure-Java version > > > 17/04/19 09:55:10 INFO zlib.ZlibFactory: Successfully loaded & > > initialized > > > native-zlib library > > > Native library checking: > > > hadoop: true /home/hadooper/hadoop/lib/native/libhadoop.so.1.0.0 > > > zlib: true /lib64/libz.so.1 > > > snappy: false > > > lz4: true revision:99 > > > bzip2: false > > > openssl: true /usr/lib64/libcrypto.so > > > > > > lzo应该是好的，不知道我改怎么处理这个问题。请大神赐教 > > > > > > > > > ------------------ 原始邮件 ------------------ > > > *发件人:* "35925138";<[email protected]>; > > > *发送时间:* 2017年4月14日(星期五) 下午4:25 > > > *收件人:* "dev"<[email protected]>; > > > *主题:* 回复：答复: 回复：答复: Error: java.io.IOException: Unable to initialize > any > > > output collector > > > > > > 这个我确认过了。我的hadoop里的配置文件这个写的是2047，没有超过2048 > > > > > > > > > ------------------ 原始邮件 ------------------ > > > *发件人:* "roger shi";<[email protected]>; > > > *发送时间:* 2017年4月13日(星期四) 下午4:30 > > > *收件人:* "dev"<[email protected]>; > > > *主题:* 答复: 回复：答复: Error: java.io.IOException: Unable to initialize any > > > output collector > > > > > > It seems the hadoop environment configuration issue. > > > > > > > > > One possible reason is the configuration "mapreduce.task.io.sort.mb" of > > > this failed job is too large. For the detailed information please refer > > to > > > https://issues.apache.org/jira/browse/MAPREDUCE-6194. > > > > > > Bubble up final exception in failures during creation of ...< > > > https://issues.apache.org/jira/browse/MAPREDUCE-6194> > > > issues.apache.org > > > MAPREDUCE-5974 added in ability to instantiate multiple OCs, but if > none > > > of them are able to load it "throws" only a final a generic message: > > > "Unable to initialize ... > > > > > > > > > > > > ________________________________ > > > 发件人: 35925138 <[email protected]> > > > 发送时间: 2017年4月13日 15:13:45 > > > 收件人: dev > > > 主题: 回复：答复: Error: java.io.IOException: Unable to initialize any output > > > collector > > > > > > 这就是全的错误信息了。只报了这么些。 > > > > > > > > > > > > > > > ------------------ 原始邮件 ------------------ > > > 发件人: "roger shi";<[email protected]>; > > > 发送时间: 2017年4月13日(星期四) 下午2:51 > > > 收件人: "dev"<[email protected]>; > > > > > > 主题: 答复: Error: java.io.IOException: Unable to initialize any output > > > collector > > > > > > > > > > > > Could you please attach the complete stack trace of the error? > > > > > > ________________________________ > > > 发件人: 35925138 <[email protected]> > > > 发送时间: 2017年4月13日 13:45:09 > > > 收件人: dev > > > 主题: Error: java.io.IOException: Unable to initialize any output > collector > > > > > > 我的kylin版本是1.6.0 hadoop版本是2.6.0在build cube时，到了Step Name: Redistribute > Flat > > > Hive Table 这以步时，失败了， > > > kylin界面上的日志如下： > > > no counters for job job_1492049582227_0011 > > > > > > > > > 我到hadoop中的userlog中查看，报出这样的错误 > > > 2017-04-13 11:23:33,758 ERROR [IPC Server handler 1 on 43772] > > > org.apache.hadoop.mapred.TaskAttemptListenerImpl: Task: > > > attempt_1492049582227_0011_m_000000_0 - exited : java.io.IOException: > > > Unable to initialize any output collector > > > at org.apache.hadoop.mapred.MapTask.createSortingCollector( > > > MapTask.java:412) > > > at org.apache.hadoop.mapred.MapTask.access$100(MapTask. > java:81) > > > at org.apache.hadoop.mapred.MapTask$NewOutputCollector.< > > > init>(MapTask.java:695) > > > at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask. > > java:767) > > > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) > > > at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild. > java:163) > > > at java.security.AccessController.doPrivileged(Native Method) > > > at javax.security.auth.Subject.doAs(Subject.java:422) > > > at org.apache.hadoop.security.UserGroupInformation.doAs( > > > UserGroupInformation.java:1628) > > > at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158) > > > > > > > > > 这个是什么情况，应该怎么解决，请帮忙，谢谢 > > > > > > > > > > > > -- > > Best regards, > > > > Shaofeng Shi 史少锋 > > > > > > -- > Best regards, > > Shaofeng Shi 史少锋 > -- Best regards, Shaofeng Shi 史少锋
