hive> CREATE EXTERNAL TABLE h_employee(key int, id int, name string) > STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'> WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key, info:id,info:name")> TBLPROPERTIES ("hbase.table.name" = "employee");
OK
Time taken: 0.324 seconds
hive> select * from h_employee;
OK
1   1   peter
2   2   paul
Time taken: 1.129 seconds, Fetched: 2 row(s)

建立Hive原生表

CREATE TABLE h_employee_export(key INT, id INT, name STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\054';

$ hdfs dfs -cat /user/hive/warehouse/h_employee_export/000000_0
1,1,peter
2,2,paul

第一步先将数据从 h_employee(基于Hbase的外部表)导入到 h_employee_export(原生Hive表)

hive> insert overwrite table h_employee_export select * from h_employee;

hive> select * from h_employee_export;
OK
1   1   peter
2   2   paul
Time taken: 0.359 seconds, Fetched: 2 row(s)

$ hdfs dfs -cat /user/hive/warehouse/h_employee_export/000000_0
1,1,peter
2,2,paul

$ sqoop export --connect jdbc:mysql://host1:3306/sqoop_test --username root --password root --table employee --m 1 --export-dir /user/hive/warehouse/h_employee_export/
Warning: /usr/lib/sqoop/../hive-hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /usr/lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
14/12/05 08:49:35 INFO sqoop.Sqoop: Running Sqoop version: 1.4.4-cdh5.0.1
14/12/05 08:49:35 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
14/12/05 08:49:35 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
14/12/05 08:49:35 INFO tool.CodeGenTool: Beginning code generation
14/12/05 08:49:36 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `employee` AS t LIMIT 1
14/12/05 08:49:36 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `employee` AS t LIMIT 1
14/12/05 08:49:36 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
Note: /tmp/sqoop-wlsuser/compile/d16eb4166baf6a1e885d7df0e2638685/employee.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
14/12/05 08:49:39 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-wlsuser/compile/d16eb4166baf6a1e885d7df0e2638685/employee.jar
14/12/05 08:49:39 INFO mapreduce.ExportJobBase: Beginning export of employee
14/12/05 08:49:41 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
14/12/05 08:49:43 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
14/12/05 08:49:43 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
14/12/05 08:49:43 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
14/12/05 08:49:43 INFO client.RMProxy: Connecting to ResourceManager at hadoop01/192.111.78.111:8032
14/12/05 08:49:45 INFO input.FileInputFormat: Total input paths to process : 1
14/12/05 08:49:45 INFO input.FileInputFormat: Total input paths to process : 1
14/12/05 08:49:45 INFO mapreduce.JobSubmitter: number of splits:1
14/12/05 08:49:46 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1406097234796_0037
14/12/05 08:49:46 INFO impl.YarnClientImpl: Submitted application application_1406097234796_0037
14/12/05 08:49:46 INFO mapreduce.Job: The url to track the job: http://hadoop01:8088/proxy/application_1406097234796_0037/
14/12/05 08:49:46 INFO mapreduce.Job: Running job: job_1406097234796_0037
14/12/05 08:49:59 INFO mapreduce.Job: Job job_1406097234796_0037 running in uber mode : false
14/12/05 08:49:59 INFO mapreduce.Job:  map 0% reduce 0%
14/12/05 08:50:10 INFO mapreduce.Job:  map 100% reduce 0%
14/12/05 08:50:10 INFO mapreduce.Job: Job job_1406097234796_0037 completed successfully
14/12/05 08:50:10 INFO mapreduce.Job: Counters: 30File System CountersFILE: Number of bytes read=0FILE: Number of bytes written=99761FILE: Number of read operations=0FILE: Number of large read operations=0FILE: Number of write operations=0HDFS: Number of bytes read=166HDFS: Number of bytes written=0HDFS: Number of read operations=4HDFS: Number of large read operations=0HDFS: Number of write operations=0Job Counters Launched map tasks=1Data-local map tasks=1Total time spent by all maps in occupied slots (ms)=8805Total time spent by all reduces in occupied slots (ms)=0Total time spent by all map tasks (ms)=8805Total vcore-seconds taken by all map tasks=8805Total megabyte-seconds taken by all map tasks=9016320Map-Reduce FrameworkMap input records=2Map output records=2Input split bytes=144Spilled Records=0Failed Shuffles=0Merged Map outputs=0GC time elapsed (ms)=97CPU time spent (ms)=1360Physical memory (bytes) snapshot=167555072Virtual memory (bytes) snapshot=684212224Total committed heap usage (bytes)=148897792File Input Format Counters Bytes Read=0File Output Format Counters Bytes Written=0
14/12/05 08:50:10 INFO mapreduce.ExportJobBase: Transferred 166 bytes in 27.0676 seconds (6.1328 bytes/sec)
14/12/05 08:50:10 INFO mapreduce.ExportJobBase: Exported 2 records.

任务状态查看

在这段日志中有这样一句话

14/12/05 08:49:46 INFO mapreduce.Job: The url to track the job: http://hadoop01:8088/proxy/application_1406097234796_0037/

意思是你可以用浏览器访问这个地址去看下任务的执行情况，如果你的任务长时间卡主没结束就是出错了，可以去这个地址查看详细的错误日志

mysql> select * from employee;
+--------+----+-------+
| rowkey | id | name  |
+--------+----+-------+
|      1 |  1 | peter |
|      2 |  2 | paul  |
+--------+----+-------+
2 rows in set (0.00 sec)mysql> 

导入成功

--input-null-string "\\\\N" --input-null-non-string "\\\\N"

变成

sqoop export --connect jdbc:mysql://localhost:3306/sqoop_test --username root --password root --table employee --m 1 --export-dir /user/hive/warehouse/h_employee_export/ --input-null-string "\\\\N" --input-null-non-string "\\\\N"

这两句话的意思是如果遇到空值就插入null，要不然出现空值是会报错的