使用sqoop2实现hdfs与Oracle数据相互导入

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上一篇已经完成了sqoop2的安装，本篇文章介绍sqoop2将数据从Oracle导入hdfs已经从hdfs导入Oracle

sqoop的使用，主要分为以下几个部分

连接服务器
搜索connectors
创建Link
创建Job
执行Job
查看Job运行信息

在使用sqoop2之前，还需要对hadoop的配置文件做以下修改并启动jobhistory服务，否则，job只能运行一次，第二次运行就会报错

1）配置mapred-site.xml：（namenode节点即可）
<property>
<name>mapreduce.jobhistory.address</name>
<value>192.168.101.11:10020</value>
</property>
2）启动jobhistory服务
sbin/mr-jobhistory-daemon.sh start historyserver

1、连接sqoop2服务器

sqoop2是c/s模式，之前安装并启动的是sqoop的服务端，如果想要使用和操作sqoop2，需要通过客户端连接到服务端，然后使用。只要保证服务端正常处于运行状态，客户端可以从任意终端发起。也就是说，客户端可以是一台只解压了sqoop2安装包的机器中启动，无需hadoop和sqoopserver。

启动客户端bin/sqoop2-shell

[hadoop@hadoop01 sqoop-1.99.7-bin-hadoop200]$ bin/sqoop2-shellSetting conf dir: /home/hadoop/sqoop-1.99.7-bin-hadoop200/bin/../confSqoop home directory: /home/hadoop/sqoop-1.99.7-bin-hadoop200Sqoop Shell: Type 'help' or '\h' for help.sqoop:000> \hFor information about Sqoop, visit: http://sqoop.apache.org/Available commands:  :exit    (:x  ) Exit the shell  :history (:H  ) Display, manage and recall edit-line history  help     (\h  ) Display this help message  set      (\st ) Configure various client options and settings  show     (\sh ) Display various objects and configuration options  create   (\cr ) Create new object in Sqoop repository  delete   (\d  ) Delete existing object in Sqoop repository  update   (\up ) Update objects in Sqoop repository  clone    (\cl ) Create new object based on existing one  start    (\sta) Start job  stop     (\stp) Stop job  status   (\stu) Display status of a job  enable   (\en ) Enable object in Sqoop repository  disable  (\di ) Disable object in Sqoop repository  grant    (\g  ) Grant access to roles and assign privileges  revoke   (\r  ) Revoke access from roles and remove privilegesFor help on a specific command type: help commandsqoop:000>

此时只是启动了客户端，还没有连接服务端，如果测试创建link或者job，那么默认会连接localhost。所以，要先设置连接服务器：

sqoop:000> set server --host 192.168.101.12 --port 12000 --webapp sqoopServer is set successfullysqoop:000>

2、搜索connector

connector是用于创建link的模板，例如要创建hdfs的link，则使用hdfs-connector，要创建Oracle的link，则使用oracle-jdbc-connector或者generic-jdbc-connector

如果所设置的服务端连接是正常可用的，那么执行show connector 命令后，会显示如下：

sqoop:000> show connector +------------------------+---------+------------------------------------------------------------+----------------------+|          Name          | Version |                           Class                            | Supported Directions |+------------------------+---------+------------------------------------------------------------+----------------------+| generic-jdbc-connector | 1.99.7  | org.apache.sqoop.connector.jdbc.GenericJdbcConnector       | FROM/TO              || kite-connector         | 1.99.7  | org.apache.sqoop.connector.kite.KiteConnector              | FROM/TO              || oracle-jdbc-connector  | 1.99.7  | org.apache.sqoop.connector.jdbc.oracle.OracleJdbcConnector | FROM/TO              || ftp-connector          | 1.99.7  | org.apache.sqoop.connector.ftp.FtpConnector                | TO                   || hdfs-connector         | 1.99.7  | org.apache.sqoop.connector.hdfs.HdfsConnector              | FROM/TO              || kafka-connector        | 1.99.7  | org.apache.sqoop.connector.kafka.KafkaConnector            | TO                   || sftp-connector         | 1.99.7  | org.apache.sqoop.connector.sftp.SftpConnector              | TO                   |+------------------------+---------+------------------------------------------------------------+----------------------+

否则，会提示拒绝连接

sqoop:000> show connector Exception has occurred during processing command Exception: java.net.ConnectException Message: 拒绝连接 (Connection refused)

3、创建link

顾名思义，就是创建到各个源或目标存储的连接。可创建的link类型，在上一个步骤show connector中已经列出

1）创建hdfs link

sqoop:000> create link --connector hdfs-connectorCreating link for connector with name hdfs-connectorPlease fill following values to create new link objectName: hdfs-link   ##link的名称，可以随意起HDFS clusterURI: hdfs://192.168.101.11:9000  ##hdfs地址，在hadoop配置文件core-site.xml中查看Conf directory: /home/hadoop/hadoop-2.6.5/etc/hadoop ##hadoop配置文件目录Additional configs:: There are currently 0 values in the map:entry#               ##直接回车即可New link was successfully created with validation status OK and name hdfs-linksqoop:000> show link+-----------+----------------+---------+|   Name    | Connector Name | Enabled |+-----------+----------------+---------+| hdfs-link | hdfs-connector | true    |+-----------+----------------+---------+

2）创建Oracle link

sqoop:000> create link --connector generic-jdbc-connectorCreating link for connector with name generic-jdbc-connectorPlease fill following values to create new link objectName: oracle-link   ##link的名称，可以随意起Database connectionDriver class: oracle.jdbc.driver.OracleDriver   ##Oracle jdbc驱动Connection String: jdbc:oracle:thin:@192.168.101.9:1521:orcl  ##Oracle连接字符串Username: scott  ##Oracle用户名Password: *****  #密码Fetch Size:   #以下直接回车，默认即可Connection Properties: There are currently 0 values in the map:entry# SQL DialectIdentifier enclose:   ##sql定界符，为避免错误，需要打一个空格New link was successfully created with validation status OK and name oracle-linksqoop:000> show link+-------------+------------------------+---------+|    Name     |     Connector Name     | Enabled |+-------------+------------------------+---------+| oracle-link | generic-jdbc-connector | true    || hdfs-link   | hdfs-connector         | true    |+-------------+------------------------+---------+

3、创建从oracle向hdfs导入数据的job

sqoop:000> create job -f oracle-link -t hdfs-linkCreating job for links with from name oracle-link and to name hdfs-linkPlease fill following values to create new job objectName: oracle2hdfs  #job名称Database sourceSchema name: scott  #oracle的schema，即用户名Table name: emp    #需要导入的表名SQL statement:     ##SQL，默认导入整张表Column names: There are currently 0 values in the list:element# Partition column: empno  ##指定一个列名即可，一般可以用主键，或者时间列，以便mapper任务的切分Partition column nullable: Boundary query: Incremental readCheck column: Last value: Target configurationOverride null value: Null value: File format:   0 : TEXT_FILE  1 : SEQUENCE_FILE  2 : PARQUET_FILEChoose: 0   #选择导入hdfs的一种格式，选择txt即可Compression codec:   0 : NONE  1 : DEFAULT  2 : DEFLATE  3 : GZIP  4 : BZIP2  5 : LZO  6 : LZ4  7 : SNAPPY  8 : CUSTOMChoose: 0   #默认无压缩Custom codec: Output directory: /data  ##导入到hdfs的目录，注意，全量导入时，该目录需要为空Append mode:   ##追加模式，默认为全量Throttling resourcesExtractors: Loaders: Classpath configurationExtra mapper jars: There are currently 0 values in the list:element# New job was successfully created with validation status OK  and name oracle2hdfssqoop:000>

4、创建从hdfs向oracle导入的job

sqoop:000> create job -f hdfs-link -t oracle-linkCreating job for links with from name hdfs-link and to name oracle-linkPlease fill following values to create new job objectName: hdfs2oracleInput configurationInput directory: /data  ##hdfs 的导入目录Override null value: Null value: Incremental importIncremental type:   0 : NONE  1 : NEW_FILESChoose: 0  #默认选0即可，应该是配合上一个参数，Incremental import，设置增量导入模式Last imported date: Database targetSchema name: scott  #oracle用户Table name: emp2     #oracle表名，需要提前创建好表结构Column names: There are currently 0 values in the list:element# Staging table: Clear stage table: Throttling resourcesExtractors: Loaders: Classpath configurationExtra mapper jars: There are currently 0 values in the list:element# New job was successfully created with validation status OK  and name hdfs2oraclesqoop:000> sqoop:000> show job+----+-------------+--------------------------------------+--------------------------------------+---------+| Id |    Name     |            From Connector            |             To Connector             | Enabled |+----+-------------+--------------------------------------+--------------------------------------+---------+| 8  | oracle2hdfs | oracle-link (generic-jdbc-connector) | hdfs-link (hdfs-connector)           | true    || 9  | hdfs2oracle | hdfs-link (hdfs-connector)           | oracle-link (generic-jdbc-connector) | true    |+----+-------------+--------------------------------------+--------------------------------------+---------+sqoop:000>

5、运行作业

start job -name oracle2hdfs

sqoop:000> start job -name oracle2hdfsSubmission detailsJob Name: oracle2hdfsServer URL: http://192.168.101.12:12000/sqoop/Created by: hadoopCreation date: 2017-10-17 17:24:23 CSTLastly updated by: hadoopExternal ID: job_1508227894698_0001        http://hadoop01:8088/proxy/application_1508227894698_0001/2017-10-17 17:24:23 CST: BOOTING  - Progress is not availablesqoop:000>

sqoop:000> start job -name hdfs2oracleSubmission detailsJob Name: hdfs2oracleServer URL: http://192.168.101.12:12000/sqoop/Created by: hadoopCreation date: 2017-10-17 17:25:38 CSTLastly updated by: hadoopExternal ID: job_1508227894698_0002        http://hadoop01:8088/proxy/application_1508227894698_0002/2017-10-17 17:25:38 CST: BOOTING  - Progress is not available

6、查看作业运行情况

由于sqoop2的job提交后，是运行在hadoop集群上的mapreduce任务，所以可以通过hadoop的web管理界面来查看，地址为：http://namenode:8088/cluster，对应的id就是External ID.

如下图所示：

7、验证结果

hdfs

[hadoop@hadoop02 bin]$ ./hadoop fs -ls /data/Found 13 items-rw-r--r--   2 hadoop supergroup        172 2017-10-17 17:40 /data/129d2e07-1a0f-44ec-bbcd-299985b6972d.txt-rw-r--r--   2 hadoop supergroup        119 2017-10-17 17:40 /data/1fffd203-a20f-4925-a328-8fe05994b80a.txt-rw-r--r--   2 hadoop supergroup        119 2017-10-17 17:36 /data/2b8c5cd1-9ec2-4ae7-8683-a4587def6b74.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:40 /data/31b026a3-697c-4b11-a49d-4c02adfaf847.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:35 /data/3f6b78a3-a4ee-43ea-b4f3-fb46ae1a4ce0.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:37 /data/7ed1cc68-a1c7-4c98-ac25-c2d9d2ce1a54.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:33 /data/8ca051dd-6d80-4663-b062-931683d01026.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:40 /data/95cedc62-7355-4408-8361-cbf875645e94.txt-rw-r--r--   2 hadoop supergroup         54 2017-10-17 17:37 /data/9e59a5b9-90d3-4b04-aa59-d20302e4ee2b.txt-rw-r--r--   2 hadoop supergroup          0 2017-10-17 17:34 /data/b3229660-0409-4d33-9b2f-df9cdb2549ec.txt-rw-r--r--   2 hadoop supergroup        166 2017-10-17 17:40 /data/b59fa170-7c5e-4b1e-8ca3-083bb09a9544.txt-rw-r--r--   2 hadoop supergroup         57 2017-10-17 17:40 /data/cf92a71a-8528-4842-8a88-c4b4ea4b96e2.txt-rw-r--r--   2 hadoop supergroup        114 2017-10-17 17:36 /data/dda07b7d-01a8-420d-964b-d2a5bee35168.txt[hadoop@hadoop02 bin]$ ./hadoop fs -cat /data/dda07b7d-01a8-420d-964b-d2a5bee35168.txt7782,'CLARK','MANAGER',7839,'1981-06-09',2450.00,NULL,107788,'SCOTT','ANALYST',7566,'1987-04-19',3000.00,NULL,20[hadoop@hadoop02 bin]$

oracle

后记：

途中遇到不少报错，记录如下：

--报错1
[hadoop@hadoop01 sqoop-1.99.7-bin-hadoop200]$ ./bin/sqoop.sh server start
Setting conf dir: ./bin/../conf
Sqoop home directory: /home/hadoop/sqoop-1.99.7-bin-hadoop200
Starting the Sqoop2 server...
1 [main] INFO org.apache.sqoop.core.SqoopServer - Initializing Sqoop server.
20 [main] INFO org.apache.sqoop.core.PropertiesConfigurationProvider - Starting config file poller thread
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/conf/Configuration
at org.apache.sqoop.security.authentication.SimpleAuthenticationHandler.secureLogin(SimpleAuthenticationHandler.java:36)
at org.apache.sqoop.security.AuthenticationManager.initialize(AuthenticationManager.java:98)
at org.apache.sqoop.core.SqoopServer.initialize(SqoopServer.java:57)
at org.apache.sqoop.server.SqoopJettyServer.<init>(SqoopJettyServer.java:67)
at org.apache.sqoop.server.SqoopJettyServer.main(SqoopJettyServer.java:177)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.conf.Configuration
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 5 more
原因：sqoop没有正确的找的hadoop的jar包,因为在安装hadoop时，配置了HADOOP_COMMON_HOME、HADOOP_HDFS_HOME、HADOOP_MAPRED_HOME、HADOOP_YARN_HOME四个环境变量
解决方法：
修改bin/sqoop.sh
将以下四行注释
HADOOP_COMMON_HOME=${HADOOP_COMMON_HOME:-${HADOOP_HOME}/share/hadoop/common}
HADOOP_HDFS_HOME=${HADOOP_HDFS_HOME:-${HADOOP_HOME}/share/hadoop/hdfs}
HADOOP_MAPRED_HOME=${HADOOP_MAPRED_HOME:-${HADOOP_HOME}/share/hadoop/mapreduce}
HADOOP_YARN_HOME=${HADOOP_YARN_HOME:-${HADOOP_HOME}/share/hadoop/yarn}

新增以下四行，也可以把${HADOOP_HOME}换成绝对路径
HADOOP_COMMON_HOME=${HADOOP_HOME}/share/hadoop/common
HADOOP_HDFS_HOME=${HADOOP_HOME}/share/hadoop/hdfs
HADOOP_MAPRED_HOME=${HADOOP_HOME}/share/hadoop/mapreduce
HADOOP_YARN_HOME=${HADOOP_HOME}/share/hadoop/yarn

----报错2
GENERIC_JDBC_CONNECTOR_0025:No primary key - Please specify partition column.
原因：在创建关系型数据库到hdfs的job时Partition column: 参数没有指定
解决方法：指定一个列名即可，一般可以用主键，或者时间列，以便mapper任务的切分
PS：由于sqoop会以此列作为mapper的划分，如果此列数据分布存在倾斜，会导致某几个mapper负载过重，而其他mapper无数据可跑的问题，所以尽量选择数据均匀分布的类作为Partition column

--报错3
GENERIC_HDFS_CONNECTOR_0007:Invalid input/output directory - Unexpected exception
GENERIC_HDFS_CONNECTOR_0007:Invalid input/output directory - Output directory is not empty
原因：hdfs输出目录必须为空，从关系型数据库将数据到入到hdfs中时，所指定的hdfs目录必须为空
解决方法：新建一个hdfs目录，或者将旧目录清空即可

--报错4
Exception: org.apache.sqoop.common.SqoopException Message: DRIVER_0002:Given job is already running - Job with name hdfs2orcl_3
原因：
没有启动hadoop的jobhistory服务
解决方法：
配置mapred-site.xml：（namenode节点即可）
<property>
<name>mapreduce.jobhistory.address</name>
<value>192.168.101.11:10020</value>
</property>
启动jobhistory服务
sbin/mr-jobhistory-daemon.sh start historyserver

创建generic-jdbc-connector link 时：

--报错5
Exception: org.apache.sqoop.common.SqoopException Message: GENERIC_JDBC_CONNECTOR_0016:Can't fetch schema -
Identifier enclose：指定SQL中标识符的定界符，有的SQL标示符是一个引号，这个属性默认值就是双引号,例如oracle数据库，你在输入表名和schema的时候，用的是小写的emp和scoot，那么sql就会转化成 SELECT * FROM "scott"."emp" ，从而导致报错

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