使用 sqoop 将 hive 数据导出到 mysql (export)

使用sqoop将hive中的数据传到mysql中

1.新建hive表

hive> create external table sqoop_test(id int,name string,age int)
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY ','
> STORED AS TEXTFILE
> location '/user/hive/external/sqoop_test';
OK
Time taken: 0.145 seconds

2.给hive表添加数据

数据如下
1,fz,13
2,test,13
3,dx,18

3.将文件上传到hdfs对应目录下

hadoop fs -put sqoop_test.txt /user/hive/external/sqoop_test/
EFdeMacBook-Pro:testfile FengZhen$ hadoop fs -ls /user/hive/external/sqoop_test/
17/09/13 10:22:33 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Found 1 items
-rw-r--r-- 1 FengZhen supergroup 26 2017-09-13 10:21 /user/hive/external/sqoop_test/sqoop_test.txt

上传成功
进入hive 命令行可查看到数据

hive> select * from sqoop_test;
OK
1    fz    13
2    test    13
3    dx    18
Time taken: 0.089 seconds, Fetched: 3 row(s)

4.在mysql新建表,表结构和hive中的相同

CREATE TABLE `sqoop_test` (
`id` int(11) DEFAULT NULL,
`name` varchar(255) DEFAULT NULL,
`age` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1

5.使用sqoop传输数据

sqoop export 
--connect jdbc:mysql://localhost:3306/sqooptest --username root --password 123qwe --table sqoop_test
--export-dir /user/hive/external/sqoop_test --input-fields-terminated-by ,

 

EFdeMacBook-Pro:bin FengZhen$ sqoop export --connect jdbc:mysql://localhost:3306/sqooptest --username root --password 123qwe --table sqoop_test --export-dir /user/hive/external/sqoop_test --input-fields-terminated-by ,
Warning: /Users/FengZhen/Desktop/Hadoop/sqoop-1.4.6.bin__hadoop-2.0.4-alpha/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /Users/FengZhen/Desktop/Hadoop/sqoop-1.4.6.bin__hadoop-2.0.4-alpha/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/Users/FengZhen/Desktop/Hadoop/hadoop-2.8.0/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/Users/FengZhen/Desktop/Hadoop/hbase-1.3.0/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]
17/09/13 10:28:01 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6
17/09/13 10:28:01 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
17/09/13 10:28:01 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
17/09/13 10:28:01 INFO tool.CodeGenTool: Beginning code generation
17/09/13 10:28:02 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `sqoop_test` AS t LIMIT 1
17/09/13 10:28:02 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `sqoop_test` AS t LIMIT 1
17/09/13 10:28:02 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /Users/FengZhen/Desktop/Hadoop/hadoop-2.8.0
17/09/13 10:28:04 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-FengZhen/compile/7a078053fb0424d718e08c56fc9bab27/sqoop_test.jar
17/09/13 10:28:04 INFO mapreduce.ExportJobBase: Beginning export of sqoop_test
17/09/13 10:28:04 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
17/09/13 10:28:04 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/09/13 10:28:04 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
17/09/13 10:28:05 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
17/09/13 10:28:05 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
17/09/13 10:28:05 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
17/09/13 10:28:06 INFO client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:8032
17/09/13 10:28:07 INFO input.FileInputFormat: Total input files to process : 1
17/09/13 10:28:07 INFO input.FileInputFormat: Total input files to process : 1
17/09/13 10:28:07 INFO mapreduce.JobSubmitter: number of splits:4
17/09/13 10:28:07 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
17/09/13 10:28:07 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1505268150495_0004
17/09/13 10:28:08 INFO impl.YarnClientImpl: Submitted application application_1505268150495_0004
17/09/13 10:28:08 INFO mapreduce.Job: The url to track the job: http://192.168.1.64:8088/proxy/application_1505268150495_0004/
17/09/13 10:28:08 INFO mapreduce.Job: Running job: job_1505268150495_0004
17/09/13 10:28:18 INFO mapreduce.Job: Job job_1505268150495_0004 running in uber mode : false
17/09/13 10:28:18 INFO mapreduce.Job: map 0% reduce 0%
17/09/13 10:28:32 INFO mapreduce.Job: map 100% reduce 0%
17/09/13 10:28:32 INFO mapreduce.Job: Job job_1505268150495_0004 completed successfully
17/09/13 10:28:32 INFO mapreduce.Job: Counters: 30
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=626576
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=758
HDFS: Number of bytes written=0
HDFS: Number of read operations=19
HDFS: Number of large read operations=0
HDFS: Number of write operations=0
Job Counters 
Launched map tasks=4
Data-local map tasks=4
Total time spent by all maps in occupied slots (ms)=45180
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=45180
Total vcore-milliseconds taken by all map tasks=45180
Total megabyte-milliseconds taken by all map tasks=46264320
Map-Reduce Framework
Map input records=3
Map output records=3
Input split bytes=671
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=266
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=599785472
File Input Format Counters 
Bytes Read=0
File Output Format Counters 
Bytes Written=0
17/09/13 10:28:32 INFO mapreduce.ExportJobBase: Transferred 758 bytes in 26.9573 seconds (28.1185 bytes/sec)
17/09/13 10:28:32 INFO mapreduce.ExportJobBase: Exported 3 records.

 

传输完成,mysql已经有数据了。

 使用sqoop将mysql数据导入到hdfs

posted on 2017-09-13 10:38  嘣嘣嚓  阅读(6695)  评论(0编辑  收藏  举报

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