从hive将数据导出到mysql
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时间：2015年06月12日
从hive将数据导出到mysql
http://abloz.com
2012.7.20
author:周海汉
在上一篇文章《用sqoop进行mysql和hdfs系统间的数据互导》中，提到sqoop可以让RDBMS和HDFS之间互导数据，并且也支持从mysql中导入到HBase，但从HBase直接导入mysql则不是直接支持，而是间接支持。要么将HBase导出到HDFS平面文件，要么将其导出到Hive中，再导出到mysql。本篇讲从hive中导出到mysql。
从hive将数据导出到mysql
一、创建mysql表
mysql> create table award (rowkey varchar(255), productid int, matchid varchar(255), rank varchar(255), tourneyid varchar(255), userid bigint, gameid int, gold int, loginid varchar(255), nick varchar(255), plat varchar(255)); Query OK, 0 rows affected (0.01 sec)
二、尝试用hive作为外部数据库连接hbase，导入mysql
hive> CREATE EXTERNAL TABLE hive_award(key string, productid int,matchid string, rank string, tourneyid string, userid bigint,gameid int,gold int,loginid string,nick string,plat string) STORED BY ‘org.apache.hadoop.hive.hbase.HBaseStorageHandler‘ WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,info:MPID,info:MatchID,info:Rank,info:TourneyID,info:UserId,info:gameID,info:gold,info:loginId,info:nickName,info:platform") TBLPROPERTIES("hbase.table.name" = "award");
hive> desc hive_award; key string from deserializer productid int from deserializer matchid string from deserializer rank string from deserializer tourneyid string from deserializer userid bigint from deserializer gameid int from deserializer gold int from deserializer loginid string from deserializer nick string from deserializer plat string from deserializer [zhouhh@Hadoop46 ~]$ hadoop fs -ls /user/hive/warehouse/ Found 3 items drwxr-xr-x - zhouhh supergroup 0 2012-07-16 14:08 /user/hive/warehouse/hive_award drwxr-xr-x - zhouhh supergroup 0 2012-07-16 14:30 /user/hive/warehouse/nnnon drwxr-xr-x - zhouhh supergroup 0 2012-07-16 13:53 /user/hive/warehouse/test222
[zhouhh@Hadoop46 ~]$ sqoop export --connect jdbc:mysql://Hadoop48/toplists -m 1 --table award --export-dir /user/hive/warehouse/hive_award --input-fields-terminated-by ‘\0001‘ 12/07/19 16:13:06 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
12/07/19 16:13:06 INFO tool.CodeGenTool: Beginning code generation 12/07/19 16:13:06 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `award` AS t LIMIT 1 12/07/19 16:13:06 INFO orm.CompilationManager: HADOOP_HOME is /home/zhouhh/hadoop-1.0.0/libexec/.. 注: /tmp/sqoop-zhouhh/compile/4366149f0b6dd311c5b622594744fbb0/award.java使用或覆盖了已过时的 API。 注: 有关详细信息, 请使用 -Xlint:deprecation 重新编译。 12/07/19 16:13:08 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-zhouhh/compile/4366149f0b6dd311c5b622594744fbb0/award.jar 12/07/19 16:13:08 INFO mapreduce.ExportJobBase: Beginning export of award 12/07/19 16:13:09 WARN mapreduce.ExportJobBase: Input path hdfs://Hadoop46:9200/user/hive/warehouse/hive_award contains no files 12/07/19 16:13:11 INFO input.FileInputFormat: Total input paths to process : 0 12/07/19 16:13:11 INFO input.FileInputFormat: Total input paths to process : 0 12/07/19 16:13:13 INFO mapred.JobClient: Running job: job_201207191159_0059 12/07/19 16:13:14 INFO mapred.JobClient: map 0% reduce 0% 12/07/19 16:13:26 INFO mapred.JobClient: Job complete: job_201207191159_0059 12/07/19 16:13:26 INFO mapred.JobClient: Counters: 4 12/07/19 16:13:26 INFO mapred.JobClient: Job Counters 12/07/19 16:13:26 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=7993 12/07/19 16:13:26 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0 12/07/19 16:13:26 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0 12/07/19 16:13:26 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0 12/07/19 16:13:26 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 16.9678 seconds (0 bytes/sec) 12/07/19 16:13:26 INFO mapreduce.ExportJobBase: Exported 0 records.
直接导外部表不成功，Input path hdfs://Hadoop46:9200/user/hive/warehouse/hive_award contains no files
三、hive中创建连结hbase的表，在hive中的插入会引起hbase的数据改变：
CREATE TABLE hive_award_data(key string,productid int,matchid string,rank string,
tourneyid string,userid bigint,gameid int,
gold int,loginid string,nick string,plat string)
STORED BY ‘org.apache.hadoop.hive.hbase.HBaseStorageHandler‘
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,info:MPID,info:MatchID,info:Rank,info:TourneyID,info:UserId,info:gameID,info:gold,info:loginId,info:nickName,info:platform") TBLPROPERTIES("hbase.table.name" = "award_test");
hive> insert overwrite table hive_award_data select * from hive_award limit 2;
hbase(main):014:0> scan ‘award_test‘
ROW COLUMN+CELL
2012-04-27 06:55:00:402713629 column=info:MPID, timestamp=1342754799918, value=5947
2012-04-27 06:55:00:402713629 column=info:MatchID, timestamp=1342754799918, value=433203828
2012-04-27 06:55:00:402713629 column=info:Rank, timestamp=1342754799918, value=2
2012-04-27 06:55:00:402713629 column=info:TourneyID, timestamp=1342754799918, value=4027102
2012-04-27 06:55:00:402713629 column=info:UserId, timestamp=1342754799918, value=402713629
2012-04-27 06:55:00:402713629 column=info:gameID, timestamp=1342754799918, value=1001
2012-04-27 06:55:00:402713629 column=info:loginId, timestamp=1342754799918, value=715878221
2012-04-27 06:55:00:402713629 column=info:nickName, timestamp=1342754799918, value=xxx
2012-04-27 06:55:00:402713629 column=info:platform, timestamp=1342754799918, value=ios
2012-04-27 06:55:00:402713629 column=info:userid, timestamp=1342754445451, value=402713629
2012-04-27 06:55:00:406788559 column=info:MPID, timestamp=1342754799918, value=778
2012-04-27 06:55:00:406788559 column=info:MatchID, timestamp=1342754799918, value=433203930
2012-04-27 06:55:00:406788559 column=info:Rank, timestamp=1342754799918, value=19
2012-04-27 06:55:00:406788559 column=info:TourneyID, timestamp=1342754799918, value=4017780
2012-04-27 06:55:00:406788559 column=info:UserId, timestamp=1342754799918, value=406788559
2012-04-27 06:55:00:406788559 column=info:gameID, timestamp=1342754799918, value=1001
2012-04-27 06:55:00:406788559 column=info:gold, timestamp=1342754799918, value=1
2012-04-27 06:55:00:406788559 column=info:loginId, timestamp=1342754799918, value=13835155880
2012-04-27 06:55:00:406788559 column=info:nickName, timestamp=1342754799918, value=xxx
2012-04-27 06:55:00:406788559 column=info:platform, timestamp=1342754799918, value=android
2 row(s) in 0.0280 seconds
[zhouhh@Hadoop46 ~]$ sqoop export --connect jdbc:mysql://Hadoop48/toplists -m 1 --table award --export-dir /user/hive/warehouse/hive_award_data --input-fields-terminated-by ‘\0001‘
12/07/20 11:32:01 WARN mapreduce.ExportJobBase: Input path hdfs://Hadoop46:9200/user/hive/warehouse/hive_award_data contains no files
创建连接HBase的表，还是不能导入。
四、创建Hive表，将HBase外部表的数据导入
hive> CREATE TABLE hive_myaward(key string,productid int,matchid string,rank string,tourneyid string,userid bigint,gameid int,gold int,loginid string,nick string,plat string); hive> insert overwrite table hive_myaward select * from hive_award limit 2;
hive> select * from hive_myaward; OK 2012-04-27 06:55:00:402713629 5947 433203828 2 4027102 402713629 1001 NULL 715878221 杀破天A ios 2012-04-27 06:55:00:406788559 778 433203930 19 4017780 406788559 1001 1 13835155880 亲牛牛旦旦 android Time taken: 2.257 seconds [zhouhh@Hadoop46 ~]$ sqoop export --connect jdbc:mysql://Hadoop48/toplists -m 1 --table award --export-dir /user/hive/warehouse/hive_myaward --input-fields-terminated-by ‘\0001‘ java.io.IOException: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Access denied for user ‘‘@‘Hadoop48‘ to database ‘toplists‘
权限问题，再授权一下
mysql> GRANT ALL PRIVILEGES ON *.* TO ‘‘@‘Hadoop48‘; Query OK, 0 rows affected (0.03 sec) mysql> GRANT ALL PRIVILEGES ON *.* TO ‘‘@‘localhost‘; Query OK, 0 rows affected (0.00 sec)
五、解决Hive中遇到的空值NULL的问题：
[zhouhh@Hadoop46 ~]$ sqoop export --connect jdbc:mysql://Hadoop48/toplists -m 1 --table award --export-dir /user/hive/warehouse/hive_myaward --input-fields-terminated-by ‘\0001‘ ... 12/07/20 11:49:25 INFO mapred.JobClient: map 0% reduce 0% 12/07/20 11:49:37 INFO mapred.JobClient: Task Id : attempt_201207191159_0227_m_000000_0, Status : FAILED java.lang.NumberFormatException: For input string: "\N" at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
\N是什么东西呢？
[zhouhh@Hadoop46 ~]$ hadoop fs -cat /user/hive/warehouse/hive_myaward/000000_0 2012-04-27 06:55:00:4027136295947433203828240271024027136291001\N715878221杀破天Aios 2012-04-27 06:55:00:4067885597784332039301940177804067885591001113835155880亲牛牛旦旦android
hive> select * from hive_myaward; OK 2012-04-27 06:55:00:402713629 5947 433203828 2 4027102 402713629 1001 NULL 715878221 杀破天A ios 2012-04-27 06:55:00:406788559 778 433203930 19 4017780 406788559 1001 1 13835155880 亲牛牛旦旦 android Time taken: 2.257 seconds
由于Hive的NULL用\N来表示，字段用\01来分割，换行用\n来换行，所以需增加相应的指示,注意转义字符\：
见：https://issues.cloudera.org/browse/SQOOP-188
[zhouhh@Hadoop46 ~]$ sqoop export --connect jdbc:mysql://Hadoop48/toplists -m 1 --table award --export-dir /user/hive/warehouse/hive_myaward/000000_0 --input-null-string "\\\\N" --input-null-non-string "\\\\N" --input-fields-terminated-by "\\01" --input-lines-terminated-by "\\n"
12/07/20 12:53:56 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset. 12/07/20 12:53:56 INFO tool.CodeGenTool: Beginning code generation 12/07/20 12:53:56 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `award` AS t LIMIT 1 12/07/20 12:53:56 INFO orm.CompilationManager: HADOOP_HOME is /home/zhouhh/hadoop-1.0.0/libexec/.. 注: /tmp/sqoop-zhouhh/compile/4427d3db678bb145c995073e0924dc0b/award.java使用或覆盖了已过时的 API。 注: 有关详细信息, 请使用 -Xlint:deprecation 重新编译。 12/07/20 12:53:57 ERROR orm.CompilationManager: Could not rename /tmp/sqoop-zhouhh/compile/4427d3db678bb145c995073e0924dc0b/award.java to /home/zhouhh/./award.java 12/07/20 12:53:57 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-zhouhh/compile/4427d3db678bb145c995073e0924dc0b/award.jar 12/07/20 12:53:57 INFO mapreduce.ExportJobBase: Beginning export of award 12/07/20 12:53:58 INFO input.FileInputFormat: Total input paths to process : 1 12/07/20 12:53:58 INFO input.FileInputFormat: Total input paths to process : 1 12/07/20 12:53:58 INFO mapred.JobClient: Running job: job_201207191159_0232 12/07/20 12:53:59 INFO mapred.JobClient: map 0% reduce 0% 12/07/20 12:54:12 INFO mapred.JobClient: map 100% reduce 0% 12/07/20 12:54:17 INFO mapred.JobClient: Job complete: job_201207191159_0232 12/07/20 12:54:17 INFO mapred.JobClient: Counters: 18 12/07/20 12:54:17 INFO mapred.JobClient: Job Counters 12/07/20 12:54:17 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=12114 12/07/20 12:54:17 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0 12/07/20 12:54:17 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0 12/07/20 12:54:17 INFO mapred.JobClient: Rack-local map tasks=1 12/07/20 12:54:17 INFO mapred.JobClient: Launched map tasks=1 12/07/20 12:54:17 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0 12/07/20 12:54:17 INFO mapred.JobClient: File Output Format Counters 12/07/20 12:54:17 INFO mapred.JobClient: Bytes Written=0 12/07/20 12:54:17 INFO mapred.JobClient: FileSystemCounters 12/07/20 12:54:17 INFO mapred.JobClient: HDFS_BYTES_READ=335 12/07/20 12:54:17 INFO mapred.JobClient: FILE_BYTES_WRITTEN=30172 12/07/20 12:54:17 INFO mapred.JobClient: File Input Format Counters 12/07/20 12:54:17 INFO mapred.JobClient: Bytes Read=0 12/07/20 12:54:17 INFO mapred.JobClient: Map-Reduce Framework 12/07/20 12:54:17 INFO mapred.JobClient: Map input records=2 12/07/20 12:54:17 INFO mapred.JobClient: Physical memory (bytes) snapshot=78696448 12/07/20 12:54:17 INFO mapred.JobClient: Spilled Records=0 12/07/20 12:54:17 INFO mapred.JobClient: CPU time spent (ms)=390 12/07/20 12:54:17 INFO mapred.JobClient: Total committed heap usage (bytes)=56623104 12/07/20 12:54:17 INFO mapred.JobClient: Virtual memory (bytes) snapshot=891781120 12/07/20 12:54:17 INFO mapred.JobClient: Map output records=2 12/07/20 12:54:17 INFO mapred.JobClient: SPLIT_RAW_BYTES=123 12/07/20 12:54:17 INFO mapreduce.ExportJobBase: Transferred 335 bytes in 19.6631 seconds (17.037 bytes/sec) 12/07/20 12:54:17 INFO mapreduce.ExportJobBase: Exported 2 records.
导出到mysql成功
mysql> use toplists; Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -A
Database changed mysql> select * from award; +-------------------------------+-----------+-----------+------+-----------+-----------+--------+------+-------------+-------+---------+ | rowkey | productid | matchid | rank | tourneyid | userid | gameid | gold | loginid | nick | plat | +-------------------------------+-----------+-----------+------+-----------+-----------+--------+------+-------------+-------+---------+ | 2012-04-27 06:55:00:402713629 | 5947 | 433203828 | 2 | 4027102 | 402713629 | 1001 | NULL | 715878221 | ???A | ios | | 2012-04-27 06:55:00:406788559 | 778 | 433203930 | 19 | 4017780 | 406788559 | 1001 | 1 | 13835155880 | ????? | android | +-------------------------------+-----------+-----------+------+-----------+-----------+--------+------+-------------+-------+---------+ 2 rows in set (0.00 sec)
虽然mysql中有了数据，不过，导入的却是乱码
在《Hive导出到Mysql中中文乱码的问题》这篇文章中继续解决。
摘自：http://abloz.com/2012/07/20/export-data-to-mysql-from-the-hive.html
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