Sqoop HDFS导出到MySQL

在MySQL中创建表

CREATE TABLE `tree1` (  `id` int(11) NOT NULL AUTO_INCREMENT,  `treeNumber` varchar(100) NOT NULL,  `productinformationId` int(11) NOT NULL,  PRIMARY KEY (`id`)) DEFAULT CHARSET=utf8;

执行命令

sqoop export --connect jdbc:mysql://node1:3306/phx \--username root \--table tree1 -m 1 \--export-dir /sqoop/tree2

结果

[root@node1 conf]# sqoop export --connect jdbc:mysql://node1:3306/phx \--username root \--table tree1 -m 1 \--export-dir /sqoop/tree2Warning: /csh/link/sqoop/../hcatalog does not exist! HCatalog jobs will fail.Please set $HCAT_HOME to the root of your HCatalog installation.Warning: /csh/link/sqoop/../accumulo does not exist! Accumulo imports will fail.Please set $ACCUMULO_HOME to the root of your Accumulo installation.16/04/19 01:10:23 INFO sqoop.Sqoop: Running Sqoop version: 1.4.616/04/19 01:10:23 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.16/04/19 01:10:23 INFO tool.CodeGenTool: Beginning code generation16/04/19 01:10:24 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `tree1` AS t LIMIT 116/04/19 01:10:24 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `tree1` AS t LIMIT 116/04/19 01:10:24 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /csh/link/hadoopNote: /tmp/sqoop-root/compile/8efdea8893437a1359c77de6d1bd2395/tree1.java uses or overrides a deprecated API.Note: Recompile with -Xlint:deprecation for details.16/04/19 01:10:28 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/8efdea8893437a1359c77de6d1bd2395/tree1.jar16/04/19 01:10:29 INFO mapreduce.ExportJobBase: Beginning export of tree1SLF4J: Class path contains multiple SLF4J bindings.SLF4J: Found binding in [jar:file:/csh/software/hadoop-2.7.2/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]SLF4J: Found binding in [jar:file:/csh/software/hbase-1.1.4/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]16/04/19 01:10:30 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar16/04/19 01:10:38 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative16/04/19 01:10:38 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative16/04/19 01:10:38 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps16/04/19 01:10:38 INFO client.RMProxy: Connecting to ResourceManager at node1/192.168.161.11:803216/04/19 01:10:48 INFO input.FileInputFormat: Total input paths to process : 116/04/19 01:10:48 INFO input.FileInputFormat: Total input paths to process : 116/04/19 01:10:49 INFO mapreduce.JobSubmitter: number of splits:116/04/19 01:10:49 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative16/04/19 01:10:49 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1461026006811_000316/04/19 01:10:51 INFO impl.YarnClientImpl: Submitted application application_1461026006811_000316/04/19 01:10:51 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1461026006811_0003/16/04/19 01:10:51 INFO mapreduce.Job: Running job: job_1461026006811_000316/04/19 01:11:33 INFO mapreduce.Job: Job job_1461026006811_0003 running in uber mode : false16/04/19 01:11:33 INFO mapreduce.Job:  map 0% reduce 0%16/04/19 01:12:24 INFO mapreduce.Job:  map 100% reduce 0%16/04/19 01:12:27 INFO mapreduce.Job: Job job_1461026006811_0003 completed successfully16/04/19 01:12:27 INFO mapreduce.Job: Counters: 30    File System Counters        FILE: Number of bytes read=0        FILE: Number of bytes written=137080        FILE: Number of read operations=0        FILE: Number of large read operations=0        FILE: Number of write operations=0        HDFS: Number of bytes read=251        HDFS: Number of bytes written=0        HDFS: Number of read operations=4        HDFS: Number of large read operations=0        HDFS: Number of write operations=0    Job Counters         Launched map tasks=1        Rack-local map tasks=1        Total time spent by all maps in occupied slots (ms)=45106        Total time spent by all reduces in occupied slots (ms)=0        Total time spent by all map tasks (ms)=45106        Total vcore-milliseconds taken by all map tasks=45106        Total megabyte-milliseconds taken by all map tasks=46188544    Map-Reduce Framework        Map input records=7        Map output records=7        Input split bytes=122        Spilled Records=0        Failed Shuffles=0        Merged Map outputs=0        GC time elapsed (ms)=258        CPU time spent (ms)=1680        Physical memory (bytes) snapshot=86806528        Virtual memory (bytes) snapshot=2086785024        Total committed heap usage (bytes)=17235968    File Input Format Counters         Bytes Read=0    File Output Format Counters         Bytes Written=016/04/19 01:12:27 INFO mapreduce.ExportJobBase: Transferred 251 bytes in 109.7035 seconds (2.288 bytes/sec)16/04/19 01:12:27 INFO mapreduce.ExportJobBase: Exported 7 records.

在MySQL中查看tree1表中数据

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Sqoop HDFS导出到MySQL