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Sqoop MySQL 导入到Hive

2016-04-21 16:09 681 查看

将数据库phx中的tree表的数据导入到Hive中

命令:

sqoop import --connect jdbc:mysql://node1:3306/phx \--username root \--table tree \--hive-import \--hive-overwrite \--create-hive-table \--hive-table tree1 \--target-dir /sqoop/tree3


结果:

[root@node1 conf]# sqoop import --connect jdbc:mysql://node1:3306/phx \--username root \--table tree \--hive-import \--hive-overwrite \--create-hive-table \--hive-table tree1 \--target-dir /sqoop/tree3
Warning: /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.
16/04/18 21:20:00 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6
16/04/18 21:20:00 INFO tool.BaseSqoopTool: Using Hive-specific delimiters for output. You can override
16/04/18 21:20:00 INFO tool.BaseSqoopTool: delimiters with --fields-terminated-by, etc.
16/04/18 21:20:00 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
16/04/18 21:20:00 INFO tool.CodeGenTool: Beginning code generation
16/04/18 21:20:00 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `tree` AS t LIMIT 1
16/04/18 21:20:00 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `tree` AS t LIMIT 1
16/04/18 21:20:00 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /csh/link/hadoop
Note: /tmp/sqoop-root/compile/9cff004a8ff405b712c978864c2775df/tree.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
16/04/18 21:20:03 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/9cff004a8ff405b712c978864c2775df/tree.jar
16/04/18 21:20:03 WARN manager.MySQLManager: It looks like you are importing from mysql.
16/04/18 21:20:03 WARN manager.MySQLManager: This transfer can be faster! Use the --direct
16/04/18 21:20:03 WARN manager.MySQLManager: option to exercise a MySQL-specific fast path.
16/04/18 21:20:03 INFO manager.MySQLManager: Setting zero DATETIME behavior to convertToNull (mysql)
16/04/18 21:20:03 INFO mapreduce.ImportJobBase: Beginning import of tree
SLF4J: 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]
16/04/18 21:20:04 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
16/04/18 21:20:09 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
16/04/18 21:20:10 INFO client.RMProxy: Connecting to ResourceManager at node1/192.168.161.11:8032
16/04/18 21:20:23 INFO db.DBInputFormat: Using read commited transaction isolation
16/04/18 21:20:23 INFO db.DataDrivenDBInputFormat: BoundingValsQuery: SELECT MIN(`id`), MAX(`id`) FROM `tree`
16/04/18 21:20:24 INFO mapreduce.JobSubmitter: number of splits:4
16/04/18 21:20:25 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1461026006811_0001
16/04/18 21:20:27 INFO impl.YarnClientImpl: Submitted application application_1461026006811_0001
16/04/18 21:20:28 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1461026006811_0001/ 16/04/18 21:20:28 INFO mapreduce.Job: Running job: job_1461026006811_0001
16/04/18 21:21:01 INFO mapreduce.Job: Job job_1461026006811_0001 running in uber mode : false
16/04/18 21:21:01 INFO mapreduce.Job:  map 0% reduce 0%
16/04/18 21:22:00 INFO mapreduce.Job:  map 25% reduce 0%
16/04/18 21:23:13 INFO mapreduce.Job:  map 50% reduce 0%
16/04/18 21:23:14 INFO mapreduce.Job:  map 100% reduce 0%
16/04/18 21:23:21 INFO mapreduce.Job: Job job_1461026006811_0001 completed successfully
16/04/18 21:23:22 INFO mapreduce.Job: Counters: 31
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=549568
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=398
HDFS: Number of bytes written=373
HDFS: Number of read operations=16
HDFS: Number of large read operations=0
HDFS: Number of write operations=8
Job Counters
Killed map tasks=4
Launched map tasks=7
Other local map tasks=7
Total time spent by all maps in occupied slots (ms)=585524
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=585524
Total vcore-milliseconds taken by all map tasks=585524
Total megabyte-milliseconds taken by all map tasks=599576576
Map-Reduce Framework
Map input records=21
Map output records=21
Input split bytes=398
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=722
CPU time spent (ms)=15670
Physical memory (bytes) snapshot=394702848
Virtual memory (bytes) snapshot=8350515200
Total committed heap usage (bytes)=68792320
File Input Format Counters
Bytes Read=0
File Output Format Counters
Bytes Written=373
16/04/18 21:23:22 INFO mapreduce.ImportJobBase: Transferred 373 bytes in 193.0206 seconds (1.9324 bytes/sec)
16/04/18 21:23:22 INFO mapreduce.ImportJobBase: Retrieved 21 records.
16/04/18 21:23:23 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `tree` AS t LIMIT 1
16/04/18 21:23:23 INFO hive.HiveImport: Loading uploaded data into Hive
16/04/18 21:25:54 INFO hive.HiveImport:
16/04/18 21:25:54 INFO hive.HiveImport: Logging initialized using configuration in file:/csh/software/apache-hive-1.2.1-bin/conf/hive-log4j.properties
16/04/18 21:25:57 INFO hive.HiveImport: SLF4J: Class path contains multiple SLF4J bindings.
16/04/18 21:25:57 INFO hive.HiveImport: 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]
16/04/18 21:25:57 INFO hive.HiveImport: SLF4J: Found binding in [jar:file:/csh/software/hbase-1.1.4/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
16/04/18 21:25:57 INFO hive.HiveImport: SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
16/04/18 21:25:57 INFO hive.HiveImport: SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
16/04/18 21:27:27 INFO hive.HiveImport: OK
16/04/18 21:27:28 INFO hive.HiveImport: Time taken: 23.5 seconds
16/04/18 21:27:30 INFO hive.HiveImport: Loading data to table default.tree1
16/04/18 21:27:35 INFO hive.HiveImport: Table default.tree1 stats: [numFiles=4, numRows=0, totalSize=373, rawDataSize=0]
16/04/18 21:27:35 INFO hive.HiveImport: OK
16/04/18 21:27:35 INFO hive.HiveImport: Time taken: 8.27 seconds
16/04/18 21:27:36 INFO hive.HiveImport: Hive import complete.
16/04/18 21:27:40 INFO hive.HiveImport: Export directory is contains the _SUCCESS file only, removing the directory.


浏览HDFS如下图:



在Hive中检查是否有数据:

hive> select * from tree1;
OK
1   466464684640    1
2   466464684641    2
3   466464684642    3
4   466464684643    1
5   466464684644    2
6   466464684645    3
7   466464684646    1
8   466464684647    2
9   466464684648    3
10  466464684649    1
11  4664646846410   2
12  4664646846411   3
13  4664646846412   1
14  4664646846413   2
15  4664646846414   3
16  4664646846415   1
17  4664646846416   2
18  4664646846417   3
19  4664646846418   1
20  4664646846419   2
21  111111  1
Time taken: 2.622 seconds, Fetched: 21 row(s)


参数说明

参数说明
–hive-home Hive的安装目录,可以通过该参数覆盖掉默认的hive目录
–hive-overwrite覆盖掉在hive表中已经存在的数据
–create-hive-table默认是false,如果目标表已经存在了,那么创建任务会失败
–hive-table后面接要创建的hive表
–table指定关系数据库表名
个人博客原文:

Sqoop MySQL 导入到Hive
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