Hive数据导出的几种方式
Hive数据导出的几种方式
参考资料地址:http://blog.csdn.net/qianshangding0708/article/details/50394789
感谢分享
(1)导出到本地文件系统
- hive> INSERT OVERWRITE LOCAL DIRECTORY '/home/hadoop/output' ROW FORMAT DELIMITED FIELDS TERMINATED by ',' select * from testA;
- Total jobs = 1
- Launching Job 1 out of 1
- Number of reduce tasks is set to 0 since there's no reduce operator
- Starting Job = job_1451024007879_0001, Tracking URL = http://hadoopcluster79:8088/proxy/application_1451024007879_0001/
- Kill Command = /home/hadoop/apache/hadoop-2.4.1/bin/hadoop job -kill job_1451024007879_0001
- Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
- 2015-12-25 17:04:30,447 Stage-1 map = 0%, reduce = 0%
- 2015-12-25 17:04:35,616 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 1.16 sec
- MapReduce Total cumulative CPU time: 1 seconds 160 msec
- Ended Job = job_1451024007879_0001
- Copying data to local directory /home/hadoop/output
- Copying data to local directory /home/hadoop/output
- MapReduce Jobs Launched:
- Job 0: Map: 1 Cumulative CPU: 1.16 sec HDFS Read: 305 HDFS Write: 110 SUCCESS
- Total MapReduce CPU Time Spent: 1 seconds 160 msec
- OK
- Time taken: 16.701 seconds
查看数据结果:
- [hadoop@hadoopcluster78 output]$ cat /home/hadoop/output/000000_0
- 1,fish1,SZ,2015-07-08
- 2,fish2,SH,2015-07-08
- 3,fish3,HZ,2015-07-08
- 4,fish4,QD,2015-07-08
- 5,fish5,SR,2015-07-08
通过INSERT OVERWRITE LOCAL DIRECTORY将hive表testA数据导入到/home/hadoop目录,众所周知,HQL会启动Mapreduce完成,其实/home/hadoop就是Mapreduce输出路径,产生的结果存放在文件名为:000000_0。
(2)导出到HDFS
导入到HDFS和导入本地文件类似,去掉HQL语句的LOCAL就可以了
- hive> INSERT OVERWRITE DIRECTORY '/home/hadoop/output' select * from testA;
- Total jobs = 3
- Launching Job 1 out of 3
- Number of reduce tasks is set to 0 since there's no reduce operator
- Starting Job = job_1451024007879_0002, Tracking URL = http://hadoopcluster79:8088/proxy/application_1451024007879_0002/
- Kill Command = /home/hadoop/apache/hadoop-2.4.1/bin/hadoop job -kill job_1451024007879_0002
- Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
- 2015-12-25 17:08:51,034 Stage-1 map = 0%, reduce = 0%
- 2015-12-25 17:08:59,313 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 1.4 sec
- MapReduce Total cumulative CPU time: 1 seconds 400 msec
- Ended Job = job_1451024007879_0002
- Stage-3 is selected by condition resolver.
- Stage-2 is filtered out by condition resolver.
- Stage-4 is filtered out by condition resolver.
- Moving data to: hdfs://hadoop2cluster/home/hadoop/hivedata/hive-hadoop/hive_2015-12-25_17-08-43_733_1768532778392261937-1/-ext-10000
- Moving data to: /home/hadoop/output
- MapReduce Jobs Launched:
- Job 0: Map: 1 Cumulative CPU: 1.4 sec HDFS Read: 305 HDFS Write: 110 SUCCESS
- Total MapReduce CPU Time Spent: 1 seconds 400 msec
- OK
- Time taken: 16.667 seconds
查看hfds输出文件:
- [hadoop@hadoopcluster78 bin]$ ./hadoop fs -cat /home/hadoop/output/000000_0
- 1fish1SZ2015-07-08
- 2fish2SH2015-07-08
- 3fish3HZ2015-07-08
- 4fish4QD2015-07-08
- 5fish5SR2015-07-08
其他
采用hive的-e和-f参数来导出数据。
参数为: -e 的使用方式,后面接SQL语句。>>后面为输出文件路径
- [hadoop@hadoopcluster78 bin]$ ./hive -e "select * from testA" >> /home/hadoop/output/testA.txt
- 15/12/25 17:15:07 WARN conf.HiveConf: DEPRECATED: hive.metastore.ds.retry.* no longer has any effect. Use hive.hmshandler.retry.* instead
- Logging initialized using configuration in file:/home/hadoop/apache/hive-0.13.1/conf/hive-log4j.properties
- OK
- Time taken: 1.128 seconds, Fetched: 5 row(s)
- [hadoop@hadoopcluster78 bin]$ cat /home/hadoop/output/testA.txt
- 1 fish1 SZ 2015-07-08
- 2 fish2 SH 2015-07-08
- 3 fish3 HZ 2015-07-08
- 4 fish4 QD 2015-07-08
- 5 fish5 SR 2015-07-08
参数为: -f 的使用方式,后面接存放sql语句的文件。>>后面为输出文件路径
SQL语句文件:
- [hadoop@hadoopcluster78 bin]$ cat /home/hadoop/output/sql.sql
- select * from testA
使用-f参数执行:
- [hadoop@hadoopcluster78 bin]$ ./hive -f /home/hadoop/output/sql.sql >> /home/hadoop/output/testB.txt
- 15/12/25 17:20:52 WARN conf.HiveConf: DEPRECATED: hive.metastore.ds.retry.* no longer has any effect. Use hive.hmshandler.retry.* instead
- Logging initialized using configuration in file:/home/hadoop/apache/hive-0.13.1/conf/hive-log4j.properties
- OK
- Time taken: 1.1 seconds, Fetched: 5 row(s)
参看结果:
- [hadoop@hadoopcluster78 bin]$ cat /home/hadoop/output/testB.txt
- 1 fish1 SZ 2015-07-08
- 2 fish2 SH 2015-07-08
- 3 fish3 HZ 2015-07-08
- 4 fish4 QD 2015-07-08
- 5 fish5 SR 2015-07-08
转载于:https://www.cnblogs.com/zmdd/p/8393223.html
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