從hbase(hive)將數據導出到mysql

在上一篇文章《用sqoop進行mysql和hdfs系統間的數據互導》中，提到sqoop可以讓RDBMS和HDFS之間互導數據，並且也支持從mysql中導入到HBase，但從HBase直接導入mysql則不是直接支持，而是間接支持。要麼將HBase導出到HDFS平面文件，要麼將其導出到Hive中，再導出到mysql。本篇講從hive中導出到mysql。
從hive將數據導出到mysql

一、創建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、嘗試用hive作爲外部數據庫連接hbase，導入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使用或覆蓋了已過時的 API。
注: 有關詳細信息, 請使用 -Xlint:deprecation 重新編譯。
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.

直接導外部表不成功，Input path hdfs://Hadoop46:9200/user/hive/warehouse/hive_award contains no files

三、hive中創建連結hbase的表，在hive中的插入會引起hbase的數據改變：

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

創建連接HBase的表，還是不能導入。

四、創建Hive表，將HBase外部表的數據導入

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 殺破天A ios
2012-04-27 06:55:00:406788559 778 433203930 19 4017780 406788559 1001 1 13835155880 親牛牛旦旦 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'

權限問題，再授權一下

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、解決Hive中遇到的空值NULL的問題：

[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是什麼東西呢？

[zhouhh@Hadoop46 ~]$ hadoop fs -cat /user/hive/warehouse/hive_myaward/000000_0 
2012-04-27 06:55:00:4027136295947433203828240271024027136291001\N715878221殺破天Aios
2012-04-27 06:55:00:4067885597784332039301940177804067885591001113835155880親牛牛旦旦android

hive> select * from hive_myaward;
OK
2012-04-27 06:55:00:402713629 5947 433203828 2 4027102 402713629 1001 NULL 715878221 殺破天A ios
2012-04-27 06:55:00:406788559 778 433203930 19 4017780 406788559 1001 1 13835155880 親牛牛旦旦 android
Time taken: 2.257 seconds

由於Hive的NULL用\N來表示，字段用\01來分割，換行用\n來換行，所以需增加相應的指示,注意轉義字符\：
見：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使用或覆蓋了已過時的 API。
注: 有關詳細信息, 請使用 -Xlint:deprecation 重新編譯。
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.

導出到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)

雖然mysql中有了數據，不過，導入的卻是亂碼
在《Hive導出到Mysql中中文亂碼的問題》這篇文章中繼續解決。