12.Hive多分隔符支持实战

12.1 实验目标描述

  • 要将多个字符作为字段分割符的数据文件加载到Hive表中,事例数据如下:
    • 字段分隔符为“@#$”
test1@#$test1name@#$test2value
test2@#$test2name@#$test2value
test3@#$test3name@#$test4value
  • 如何将上述事例数据加载到Hive表(multi_delimiter_test)中,表结构如下:


  • Hive在0.14及以后版本支持字段的多分隔符

12.2 实验操作

  • 实验环境说明
    • 实验环境为CDH5.11.1
    • Hive版本为1.1.0
    • 操作系统为RedHat6.5
  • 准备多分隔符文件并装载到HDFS对应目录
[ec2-user@ip-172-31-8-141  ~]$ cat multi_delimiter_test.dat
test1@#$test1name@#$test2value
test2@#$test2name@#$test2value
test3@#$test3name@#$test4value  
[ec2-user@ip-172-31-8-141  ~]$ hadoop dfs -put multi_delimiter_test.dat /fayson/multi_delimiter_test
[ec2-user@ip-172-31-8-141  ~]$ hadoop dfs -ls /fayson/multi_delimiter_test
DEPRECATED: Use of this  script to execute hdfs command is deprecated.
Instead use the hdfs  command for it.

Found 1 items
-rw-r--r--   3 user_r supergroup         93 2017-08-23 03:24  /fayson/multi_delimiter_test/multi_delimiter_test.dat
[ec2-user@ip-172-31-8-141  ~]$
  • 基于准备好的多分隔符文件建表
create  external table multi_delimiter_test(
s1 string,
s2 string,
s3 string)
ROW FORMAT  SERDE 'org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe' WITH  SERDEPROPERTIES ("field.delim"="@#$")
stored as  textfile location '/fayson/multi_delimiter_test';
  • 测试
2: jdbc:hive2://localhost:10000/default>  select * from multi_delimiter_test;
+--------------------------+--------------------------+--------------------------+--+
|  multi_delimiter_test.s1  |  multi_delimiter_test.s2  |  multi_delimiter_test.s3  |
+--------------------------+--------------------------+--------------------------+--+
| test1                    | test1name                | test2value               |
| test2                    | test2name                | test2value               |
| test3                    | test3name                | test4value               |
+--------------------------+--------------------------+--------------------------+--+
2:  jdbc:hive2://localhost:10000/default> select count(*) from  multi_delimiter_test;

INFO  : Ended Job = job_1503469952834_0006
INFO  : MapReduce Jobs Launched:
INFO  : Stage-Stage-1: Map: 1  Reduce: 1    Cumulative CPU: 3.25 sec   HDFS  Read: 6755 HDFS Write: 2 SUCCESS
INFO  : Total MapReduce CPU Time Spent: 3 seconds  250 msec
INFO  : Completed executing command(queryId=hive_20170823041818_ce58aae2-e6db-4eed-b6af-652235a6e66a);  Time taken: 33.286 seconds
INFO  : OK
+------+--+
| _c0  |
+------+--+
| 3    |
+------+--+
1 row selected (33.679  seconds)
2:  jdbc:hive2://localhost:10000/def

12.3 常见问题与解决方法

执行count查询时报错

  • 异常日志
    • 通过beeline执行count查询时报错
2:  jdbc:hive2://localhost:10000/default> select count(*) from  multi_delimiter_test;
INFO  : Compiling  command(queryId=hive_20170823035959_f1b11a9b-757d-4d9b-b8a7-6d4ab1c00a97):  select count(*) from multi_delimiter_test
INFO  : Semantic Analysis Completed
INFO  : Returning Hive schema:  Schema(fieldSchemas:[FieldSchema(name:_c0, type:bigint, comment:null)],  properties:null)
INFO  : Completed compiling  command(queryId=hive_20170823035959_f1b11a9b-757d-4d9b-b8a7-6d4ab1c00a97);  Time taken: 0.291 seconds
INFO  : Executing  command(queryId=hive_20170823035959_f1b11a9b-757d-4d9b-b8a7-6d4ab1c00a97):  select count(*) from multi_delimiter_test
INFO  : Query ID =  hive_20170823035959_f1b11a9b-757d-4d9b-b8a7-6d4ab1c00a97
INFO  : Total jobs = 1
INFO  : Launching Job 1 out of 1
INFO  : Starting task [Stage-1:MAPRED] in serial  mode
INFO  : Number of reduce tasks determined at  compile time: 1
INFO  : In order to change the average load for a  reducer (in bytes):
INFO  :    set hive.exec.reducers.bytes.per.reducer=
INFO  : In order to limit the maximum number of  reducers:
INFO  :    set hive.exec.reducers.max=
INFO  : In order to set a constant number of  reducers:
INFO  :    set mapreduce.job.reduces=
INFO  : number of splits:1
INFO  : Submitting tokens for job:  job_1503469952834_0002
INFO  : Kind: HDFS_DELEGATION_TOKEN, Service:  ha-hdfs:nameservice1, Ident: (token for hive: HDFS_DELEGATION_TOKEN  owner=hive/[email protected],  renewer=yarn, realUser=, issueDate=1503475160778, maxDate=1504079960778,  sequenceNumber=27, masterKeyId=9)
INFO  : The url to track the job:  http://ip-172-31-9-186.ap-southeast-1.compute.internal:8088/proxy/application_1503469952834_0002/
INFO  : Starting Job = job_1503469952834_0002,  Tracking URL =  http://ip-172-31-9-186.ap-southeast-1.compute.internal:8088/proxy/application_1503469952834_0002/
INFO  : Kill Command =  /opt/cloudera/parcels/CDH-5.10.2-1.cdh5.10.2.p0.5/lib/hadoop/bin/hadoop  job  -kill job_1503469952834_0002
INFO  : Hadoop job information for Stage-1:  number of mappers: 1; number of reducers: 1
INFO  : 2017-08-23 03:59:32,039 Stage-1 map =  0%,  reduce = 0%
INFO  : 2017-08-23 04:00:08,106 Stage-1 map =  100%,  reduce = 100%
ERROR : Ended Job =  job_1503469952834_0002 with errors
ERROR : FAILED: Execution  Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
INFO  : MapReduce Jobs Launched:
INFO  : Stage-Stage-1: Map: 1  Reduce: 1    HDFS Read: 0 HDFS Write: 0 FAIL
INFO  : Total MapReduce CPU Time Spent: 0 msec
INFO  : Completed executing  command(queryId=hive_20170823035959_f1b11a9b-757d-4d9b-b8a7-6d4ab1c00a97);  Time taken: 48.737 seconds
Error: Error while  processing statement: FAILED: Execution Error, return code 2 from  org.apache.hadoop.hive.ql.exec.mr.MapRedTask (state=08S01,code=2)
  • 使用Hive的shell操作报错如下
Error:  java.lang.RuntimeException: Error in configuring object
        at  org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
        at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75)
        at  org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
        at  org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:449)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
        at  org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
        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:1920)
        at  org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by:  java.lang.reflect.InvocationTargetException
        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.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
        ... 9 more
Caused by:  java.lang.RuntimeException: Error in configuring object
        at  org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
        at  org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75)
        at  org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
        at  org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:38)
        ... 14 more
Caused by:  java.lang.reflect.InvocationTargetException
        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.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
        ... 17 more
Caused by:  java.lang.RuntimeException: Map operator initialization failed
        at  org.apache.hadoop.hive.ql.exec.mr.ExecMapper.configure(ExecMapper.java:147)
        ... 22 more
Caused by:  org.apache.hadoop.hive.ql.metadata.HiveException:  java.lang.ClassNotFoundException: Class  org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe not found
        at  org.apache.hadoop.hive.ql.exec.MapOperator.getConvertedOI(MapOperator.java:323)
        at  org.apache.hadoop.hive.ql.exec.MapOperator.setChildren(MapOperator.java:333)
        at  org.apache.hadoop.hive.ql.exec.mr.ExecMapper.configure(ExecMapper.java:116)
        ... 22 more
Caused by:  java.lang.ClassNotFoundException: Class  org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe not found
        at  org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2105)
        at  org.apache.hadoop.hive.ql.plan.PartitionDesc.getDeserializer(PartitionDesc.java:140)
        at  org.apache.hadoop.hive.ql.exec.MapOperator.getConvertedOI(MapOperator.java:297)
        ... 24 more

FAILED: Execution Error,  return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: Map:  1  Reduce: 1   HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time  Spent: 0 ms
  • 问题分析
    • org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe类是hive-contrib.jar包里。
    • 在执行非聚合类操作查询时,sql能正常执行,在进行聚合类函数操作时报错,说明在执行MapReduce任务时缺少jar依赖包;
    • MapReduce属于yarn作业,所以yarn运行环境缺少hive-contrib.jar的依赖包。
  • 解决方法
    • 在CDH集群的所有节点一下操作,将hive-contrib-1.1.0-cdh5.10.2.jar包拷贝到yarn的lib目录下
sudo scp -r  /opt/cloudera/parcels/CDH/lib/hive/lib/hive-contrib-1.1.0-cdh5.10.2.jar  /opt/cloudera/parcels/CDH/lib/hadoop-yarn/lib/

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