• 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。

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  • 原文地址:https://www.cnblogs.com/EnzoDin/p/7525509.html
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