使用 sqoop 将mysql数据导入到hive表（import）

Sqoop将mysql数据导入到hive表中

先在mysql创建表

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

插入数据

1    fz    13
3    dx    18
2    test    13
4    test_add    15
5    test_add-1    18
6    test_add_2    19

在hive中创建表，表结构和mysql中一样

hive> create external table sqoop_test_table(id int,name string,age int)
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY ','
> STORED AS TEXTFILE;
OK
Time taken: 0.083 seconds

开始导入

sqoop import --connect jdbc:mysql://localhost:3306/sqooptest --username root --password 123qwe --table sqoop_test
 --hive-import --hive-overwrite --hive-table sqoop_test_table --fields-terminated-by ',' -m 1

EFdeMacBook-Pro:jarfile FengZhen$ sqoop import --connect jdbc:mysql://localhost:3306/sqooptest --username root --password 123qwe --table sqoop_test --hive-import --hive-overwrite --hive-table sqoop_test_table --fields-terminated-by ',' -m 1
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]
17/09/15 09:33:42 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6
17/09/15 09:33:42 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
17/09/15 09:33:42 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
17/09/15 09:33:42 INFO tool.CodeGenTool: Beginning code generation
17/09/15 09:33:43 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `sqoop_test` AS t LIMIT 1
17/09/15 09:33:43 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `sqoop_test` AS t LIMIT 1
17/09/15 09:33:43 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /Users/FengZhen/Desktop/Hadoop/hadoop-2.8.0
17/09/15 09:33:48 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-FengZhen/compile/241f28a04b0ece18cd4a07bd6939d50a/sqoop_test.jar
17/09/15 09:33:48 WARN manager.MySQLManager: It looks like you are importing from mysql.
17/09/15 09:33:48 WARN manager.MySQLManager: This transfer can be faster! Use the --direct
17/09/15 09:33:48 WARN manager.MySQLManager: option to exercise a MySQL-specific fast path.
17/09/15 09:33:48 INFO manager.MySQLManager: Setting zero DATETIME behavior to convertToNull (mysql)
17/09/15 09:33:48 INFO mapreduce.ImportJobBase: Beginning import of sqoop_test
17/09/15 09:33:48 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
17/09/15 09:33:49 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/09/15 09:33:49 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
17/09/15 09:33:50 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
17/09/15 09:33:50 INFO client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:8032
17/09/15 09:33:52 INFO db.DBInputFormat: Using read commited transaction isolation
17/09/15 09:33:52 INFO mapreduce.JobSubmitter: number of splits:1
17/09/15 09:33:52 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1505439184374_0001
17/09/15 09:33:53 INFO impl.YarnClientImpl: Submitted application application_1505439184374_0001
17/09/15 09:33:53 INFO mapreduce.Job: The url to track the job: http://192.168.1.64:8088/proxy/application_1505439184374_0001/
17/09/15 09:33:53 INFO mapreduce.Job: Running job: job_1505439184374_0001
17/09/15 09:34:04 INFO mapreduce.Job: Job job_1505439184374_0001 running in uber mode : false
17/09/15 09:34:04 INFO mapreduce.Job: map 0% reduce 0%
17/09/15 09:34:11 INFO mapreduce.Job: map 100% reduce 0%
17/09/15 09:34:11 INFO mapreduce.Job: Job job_1505439184374_0001 completed successfully
17/09/15 09:34:12 INFO mapreduce.Job: Counters: 30
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=156812
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=87
HDFS: Number of bytes written=72
HDFS: Number of read operations=4
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters 
Launched map tasks=1
Other local map tasks=1
Total time spent by all maps in occupied slots (ms)=4657
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=4657
Total vcore-milliseconds taken by all map tasks=4657
Total megabyte-milliseconds taken by all map tasks=4768768
Map-Reduce Framework
Map input records=6
Map output records=6
Input split bytes=87
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=40
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=154140672
File Input Format Counters 
Bytes Read=0
File Output Format Counters 
Bytes Written=72
17/09/15 09:34:12 INFO mapreduce.ImportJobBase: Transferred 72 bytes in 22.0614 seconds (3.2636 bytes/sec)
17/09/15 09:34:12 INFO mapreduce.ImportJobBase: Retrieved 6 records.
17/09/15 09:34:12 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `sqoop_test` AS t LIMIT 1
17/09/15 09:34:12 INFO hive.HiveImport: Loading uploaded data into Hive
17/09/15 09:34:19 INFO hive.HiveImport: SLF4J: Class path contains multiple SLF4J bindings.
17/09/15 09:34:19 INFO hive.HiveImport: 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]
17/09/15 09:34:19 INFO hive.HiveImport: 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]
17/09/15 09:34:19 INFO hive.HiveImport: SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
17/09/15 09:34:19 INFO hive.HiveImport: SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
17/09/15 09:34:20 INFO hive.HiveImport: 17/09/15 09:34:20 WARN conf.HiveConf: HiveConf of name hive.metastore.local does not exist
17/09/15 09:34:20 INFO hive.HiveImport: 
17/09/15 09:34:20 INFO hive.HiveImport: Logging initialized using configuration in file:/Users/FengZhen/Desktop/Hadoop/hive/apache-hive-1.2.2-bin/conf/hive-log4j.properties
17/09/15 09:34:31 INFO hive.HiveImport: OK
17/09/15 09:34:31 INFO hive.HiveImport: Time taken: 1.502 seconds
17/09/15 09:34:31 INFO hive.HiveImport: Loading data to table default.sqoop_test_table
17/09/15 09:34:31 INFO hive.HiveImport: Table default.sqoop_test_table stats: [numFiles=1, numRows=0, totalSize=72, rawDataSize=0]
17/09/15 09:34:31 INFO hive.HiveImport: OK
17/09/15 09:34:31 INFO hive.HiveImport: Time taken: 0.762 seconds
17/09/15 09:34:32 INFO hive.HiveImport: Hive import complete.
17/09/15 09:34:32 INFO hive.HiveImport: Export directory is contains the _SUCCESS file only, removing the directory.

导入成功后，会在hdfs中产生数据文件

在路径 /user/hive/warehouse/sqoop_test_table 下

EFdeMacBook-Pro:jarfile FengZhen$ hadoop fs -ls /user/hive/warehouse/sqoop_test_table
Found 1 items
-rwxr-xr-x 1 FengZhen supergroup 72 2017-09-15 09:34 /user/hive/warehouse/sqoop_test_table/part-m-00000

EFdeMacBook-Pro:jarfile FengZhen$ hadoop fs -text /user/hive/warehouse/sqoop_test_table/part-m-00000
1,fz,13
3,dx,18
2,test,13
4,test_add,15
5,test_add-1,18
6,test_add_2,19

hive中查看表数据

hive> select * from sqoop_test_table;
OK
1    fz    13
3    dx    18
2    test    13
4    test_add    15
5    test_add-1    18
6    test_add_2    19
Time taken: 0.507 seconds, Fetched: 6 row(s)

完成。