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sqoop2 安装 与使用

linuxmysqlhivehadoopsqoop 
阅读更多

 

0.准备工作 hadoop 服务器

10.156.50.35 yanfabu2-35.base.app.dev.yf zk1  hadoop1 master1 master
10.156.50.36 yanfabu2-36.base.app.dev.yf zk2  hadoop2 master2
10.156.50.37 yanfabu2-37.base.app.dev.yf zk3  hadoop3 slaver1

 

1.解压 sqoop

tar xf sqoop-1.99.7-bin-hadoop200.tar.gz 
rm -rf sqoop-1.99.7-bin-hadoop200.tar.gz 
mv sqoop-1.99.7-bin-hadoop200 sqoop2

 

2.创建文件夹

mkdir -p /home/zkkafka/sqoop2/extra
mkdir -p /home/zkkafka/sqoop2/logs

 

3.配置环境变量

vi ~/.bash_profile 

export SQOOP_HOME=/home/zkkafka/sqoop2
export PATH=$PATH:$SQOOP_HOME/bin
export SQOOP_SERVER_EXTRA_LIB=$SQOOP_HOME/extra
export CATALINA_BASE=$SQOOP_HOME/server
export LOGDIR=$SQOOP_HOME/logs/

source ~/.bash_profile

 

=================================================================================
PATH=$PATH:$HOME/.local/bin:$HOME/bin

export PATH
export LANG="zh_CN.utf8"

export   JAVA_HOME=/home/zkkafka/jdk1.8.0_151
export   ZOOKEEPER_HOME=/home/zkkafka/zookeeper-3.4.6
export   CLASSPATH=$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:
export   PATH=$JAVA_HOME/bin:$PATH
export   PATH=$PATH:$ZOOKEEPER_HOME/bin:$ZOOKEEPER_HOME/conf

export KAFKA_HOME=/home/zkkafka/kafka_2.11-2.1.1
export PATH=$KAFKA_HOME/bin:$PATH

export HADOOP_HOME=/home/zkkafka/hadoop
export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$PATH


export HBASE_HOME=/home/zkkafka/hbase
export PATH=$HBASE_HOME/bin:$PATH

export HIVE_HOME=/home/zkkafka/hive
export PATH=$HIVE_HOME/bin:$PATH
export HIVE_CONF_DIR=$HIVE_HOME/conf


#export SQOOP_HOME=/home/zkkafka/sqoop
#export PATH=$PATH:$SQOOP_HOME/bin

export SQOOP_HOME=/home/zkkafka/sqoop2
export PATH=$PATH:$SQOOP_HOME/bin
export SQOOP_SERVER_EXTRA_LIB=$SQOOP_HOME/extra
export CATALINA_BASE=$SQOOP_HOME/server
export LOGDIR=$SQOOP_HOME/logs/
=================================================================================

 

4.修改环境变量

vim /home/zkkafka/sqoop2/conf/sqoop.properties

修改 org.apache.sqoop.submission.engine.mapreduce.configuration.directory=/home/zkkafka/hadoop/etc/hadoop

vim /home/zkkafka/sqoop2/conf/catalina.properties
common.loader=${catalina.base}/lib,${catalina.base}/lib/*.jar,${catalina.home}/lib,${catalina.home}/lib/*.jar,${catalina.home}/../lib/*.jar,${HADOOP_HOME}/share/hadoop/common/*.jar,${HADOOP_HOME}/share/hadoop/common/lib/*.jar,${HADOOP_HOME}/share/hadoop/hdfs/*.jar,${HADOOP_HOME}/share/hadoop/hdfs/lib/*.jar,${HADOOP_HOME}/share/hadoop/mapreduce/*.jar,${HADOOP_HOME}/share/hadoop/mapreduce/lib/*.jar,${HADOOP_HOME}/share/hadoop/tools/lib/*.jar,${HADOOP_HOME}/share/hadoop/yarn/*.jar,${HADOOP_HOME}/share/hadoop/yarn/lib/*.jar,${HADOOP_HOME}/share/hadoop/httpfs/tomcat/lib/*.jar

 

5.验证 

sqoop2-tool verify 
[zkkafka@yanfabu2-37 ~]$ sqoop2-tool verify 
Setting conf dir: /home/zkkafka/sqoop2/bin/../conf
Sqoop home directory: /home/zkkafka/sqoop2
Sqoop tool executor:
	Version: 1.99.7
	Revision: 435d5e61b922a32d7bce567fe5fb1a9c0d9b1bbb
	Compiled on Tue Jul 19 16:08:27 PDT 2016 by abefine
Running tool: class org.apache.sqoop.tools.tool.VerifyTool
0    [main] INFO  org.apache.sqoop.core.SqoopServer  - Initializing Sqoop server.
7    [main] INFO  org.apache.sqoop.core.PropertiesConfigurationProvider  - Starting config file poller thread
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/zkkafka/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/zkkafka/hive/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
Verification was successful.
Tool class org.apache.sqoop.tools.tool.VerifyTool has finished correctly.

 

 

6.启动 sqoop2

sqoop.sh server start

[zkkafka@yanfabu2-37 ~]$ sqoop.sh server start
Setting conf dir: /home/zkkafka/sqoop2/bin/../conf
Sqoop home directory: /home/zkkafka/sqoop2
Starting the Sqoop2 server...
0    [main] INFO  org.apache.sqoop.core.SqoopServer  - Initializing Sqoop server.
7    [main] INFO  org.apache.sqoop.core.PropertiesConfigurationProvider  - Starting config file poller thread
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/zkkafka/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/zkkafka/hive/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
Sqoop2 server started.

 

7.启动 sqoop2 客户端

sqoop.sh client

[zkkafka@yanfabu2-37 ~]$ sqoop.sh client
Setting conf dir: /home/zkkafka/sqoop2/bin/../conf
Sqoop home directory: /home/zkkafka/sqoop2
五月 30, 2019 5:05:35 下午 java.util.prefs.FileSystemPreferences$1 run
信息: Created user preferences directory.
Sqoop Shell: Type 'help' or '\h' for help.

 

8.准备mysql 

/*
Navicat MySQL Data Transfer

Source Server         : 10.156.50.36 hive
Source Server Version : 50717
Source Host           : 10.156.50.36:3306
Source Database       : mqh

Target Server Type    : MYSQL
Target Server Version : 50717
File Encoding         : 65001

Date: 2019-05-29 11:48:53
*/

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for `app`
-- ----------------------------
DROP TABLE IF EXISTS `app`;
CREATE TABLE `app` (
  `appid` int(11) DEFAULT NULL,
  `appname` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of app
-- ----------------------------
INSERT INTO `app` VALUES ('1', 'kaxinxiaoxiaole');
INSERT INTO `app` VALUES ('2', 'wangzherognyao');
INSERT INTO `app` VALUES ('3', 'cijizhanchang');

-- ----------------------------
-- Table structure for `device`
-- ----------------------------
DROP TABLE IF EXISTS `device`;
CREATE TABLE `device` (
  `deviceid` int(11) DEFAULT NULL,
  `appid` int(11) DEFAULT NULL,
  `register_time` datetime DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of device
-- ----------------------------
INSERT INTO `device` VALUES ('1', '1', '2019-05-29 11:25:54');
INSERT INTO `device` VALUES ('2', '1', '2019-05-29 11:26:04');
INSERT INTO `device` VALUES ('3', '1', '2019-05-30 11:26:14');
INSERT INTO `device` VALUES ('4', '1', '2019-05-29 11:26:30');
INSERT INTO `device` VALUES ('5', '2', '2019-05-29 11:26:38');
INSERT INTO `device` VALUES ('6', '3', '2019-05-29 11:26:45');

 

 

9.操作 sqoop2 

9.1. 查看 connector 

 

sqoop:000> show connector
0    [main] WARN  org.apache.hadoop.util.NativeCodeLoader  - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
+------------------------+---------+------------------------------------------------------------+----------------------+
|          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                   |
+------------------------+---------+------------------------------------------------------------+----------------------+

 

9.2. 创建 mysql link

sqoop:000> create link --connector generic-jdbc-connector
Creating link for connector with name generic-jdbc-connector
Please fill following values to create new link object
Name: mysql-connector

Database connection

Driver class: com.mysql.jdbc.Driver
Connection String: jdbc:mysql://10.156.50.36:3306/mqh?useSSL=false
Username: root
Password: ****
Fetch Size: 
Connection Properties: 
There are currently 0 values in the map:
entry# 

SQL Dialect

Identifier enclose: 
Thu May 30 17:50:03 CST 2019 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
New link was successfully created with validation status OK and name mysql-connector

 

9.3. 创建 hdfs link

sqoop:000> create link --connector hdfs-connector
Creating link for connector with name hdfs-connector
Please fill following values to create new link object
Name: hdfs-link

HDFS cluster

URI: hdfs://master:9000
Conf directory: /home/zkkafka/hadoop/etc/hadoop
Additional configs:: 
There are currently 0 values in the map:
entry# 
New link was successfully created with validation status OK and name hdfs-link

 

9.4. show link 

sqoop:000> show link
+-----------------+------------------------+---------+
|      Name       |     Connector Name     | Enabled |
+-----------------+------------------------+---------+
| mysql-connector | generic-jdbc-connector | true    |
| hdfs-link       | hdfs-connector         | true    |
+-----------------+------------------------+---------+

 

9.5. 创建job 

sqoop:000> create job  -f mysql-link -t hdfs-link
Creating job for links with from name mysql-link and to name hdfs-link
Please fill following values to create new job object
Name: job-m2h

Database source

Schema name: mqh
Table name: device
SQL statement: 
Column names: 
There are currently 0 values in the list:
element# 
Partition column: 
Partition column nullable: 
Boundary query: 

Incremental read

Check column: deviceid
Last value: 6

Target configuration

Override null value: 
Null value: 
File format: 
  0 : TEXT_FILE
  1 : SEQUENCE_FILE
  2 : PARQUET_FILE
Choose: 0
Compression codec: 
  0 : NONE
  1 : DEFAULT
  2 : DEFLATE
  3 : GZIP
  4 : BZIP2
  5 : LZO
  6 : LZ4
  7 : SNAPPY
  8 : CUSTOM
Choose: 0
Custom codec: 
Output directory: /hdfs/sqoop/device
Append mode: 

Throttling resources

Extractors: 2
Loaders: 2

Classpath configuration

Extra mapper jars: 
There are currently 0 values in the list:
element# 
New job was successfully created with validation status OK  and name job-m2h

 

9.6.  show job 

sqoop:000> show job
+----+---------+-------------------------------------+----------------------------+---------+
| Id |  Name   |           From Connector            |        To Connector        | Enabled |
+----+---------+-------------------------------------+----------------------------+---------+
| 4  | job-m2h | mysql-link (generic-jdbc-connector) | hdfs-link (hdfs-connector) | true    |
+----+---------+-------------------------------------+----------------------------+---------+

 

 

9.7. 启动 job

start job -name job-m2h



delete job -name job-m2h 
delete link -name mysql-link
update job -name job-m2h 
update link -name mysql-link
status job -name job-m2h 
upstatusdate link -name mysql-link


sqoop:000> start job -name job-m2h
Submission details
Job Name: job-m2h
Server URL: http://localhost:12000/sqoop/
Created by: zkkafka
Creation date: 2019-06-01 11:06:26 CST
Lastly updated by: zkkafka
External ID: job_1558676658010_0014
	http://master1:8088/proxy/application_1558676658010_0014/
2019-06-01 11:06:26 CST: BOOTING  - Progress is not available



ls: `/hdfs': No such file or directory
[zkkafka@yanfabu2-35 ~]$ hdfs dfs -ls /
Found 3 items
drwxr-xr-x   - zkkafka supergroup          0 2019-05-24 14:09 /home
drwx-wx-wx   - zkkafka supergroup          0 2019-05-24 14:03 /tmp
drwx------   - zkkafka supergroup          0 2019-05-29 11:36 /user
[zkkafka@yanfabu2-35 ~]$ hdfs dfs -ls /
Found 4 items
drwxr-xr-x   - zkkafka supergroup          0 2019-06-01 11:07 /hdfs
drwxr-xr-x   - zkkafka supergroup          0 2019-05-24 14:09 /home
drwx-wx-wx   - zkkafka supergroup          0 2019-05-24 14:03 /tmp
drwx------   - zkkafka supergroup          0 2019-05-29 11:36 /user
[zkkafka@yanfabu2-35 ~]$ hdfs dfs -ls /hdfs
Found 1 items
drwxr-xr-x   - zkkafka supergroup          0 2019-06-01 11:07 /hdfs/sqoop
[zkkafka@yanfabu2-35 ~]$ hdfs dfs -lsr /hdfs/sqoop
lsr: DEPRECATED: Please use 'ls -R' instead.
drwxr-xr-x   - zkkafka supergroup          0 2019-06-01 11:07 /hdfs/sqoop/device
-rw-r--r--   2 zkkafka supergroup         30 2019-06-01 11:07 /hdfs/sqoop/device/59327654-418e-44c7-b046-2bf231136301.txt
-rw-r--r--   2 zkkafka supergroup          0 2019-06-01 11:07 /hdfs/sqoop/device/7dc2e869-348b-4af3-8900-7825b1bbead3.txt

 

sqoop:000> status job -name job-m2h
Submission details
Job Name: job-m2h
Server URL: http://localhost:12000/sqoop/
Created by: zkkafka
Creation date: 2019-06-01 14:38:52 CST
Lastly updated by: zkkafka
External ID: job_1559370613628_0001
	http://master1	
2019-06-01 14:42:24 CST: SUCCEEDED 
Counters:
	org.apache.hadoop.mapreduce.FileSystemCounter
		FILE_LARGE_READ_OPS: 0
		FILE_WRITE_OPS: 0
		HDFS_READ_OPS: 1
		HDFS_BYTES_READ: 154
		HDFS_LARGE_READ_OPS: 0
		FILE_READ_OPS: 0
		FILE_BYTES_WRITTEN: 791854
		FILE_BYTES_READ: 45
		HDFS_WRITE_OPS: 2
		HDFS_BYTES_WRITTEN: 30
	org.apache.hadoop.mapreduce.lib.output.FileOutputFormatCounter
		BYTES_WRITTEN: 0
	org.apache.hadoop.mapreduce.lib.input.FileInputFormatCounter
		BYTES_READ: 0
	org.apache.hadoop.mapreduce.JobCounter
		TOTAL_LAUNCHED_MAPS: 1
		VCORES_MILLIS_REDUCES: 17952
		MB_MILLIS_MAPS: 5934080
		TOTAL_LAUNCHED_REDUCES: 2
		SLOTS_MILLIS_REDUCES: 17952
		VCORES_MILLIS_MAPS: 5795
		MB_MILLIS_REDUCES: 18382848
		SLOTS_MILLIS_MAPS: 5795
		MILLIS_REDUCES: 17952
		OTHER_LOCAL_MAPS: 1
		MILLIS_MAPS: 5795
	org.apache.sqoop.submission.counter.SqoopCounters
		ROWS_READ: 1
		ROWS_WRITTEN: 1
	org.apache.hadoop.mapreduce.TaskCounter
		MAP_OUTPUT_MATERIALIZED_BYTES: 45
		REDUCE_INPUT_RECORDS: 1
		SPILLED_RECORDS: 2
		MERGED_MAP_OUTPUTS: 2
		VIRTUAL_MEMORY_BYTES: 6397804544
		MAP_INPUT_RECORDS: 0
		SPLIT_RAW_BYTES: 154
		FAILED_SHUFFLE: 0
		MAP_OUTPUT_BYTES: 31
		REDUCE_SHUFFLE_BYTES: 45
		PHYSICAL_MEMORY_BYTES: 837005312
		GC_TIME_MILLIS: 1845
		REDUCE_INPUT_GROUPS: 1
		COMBINE_OUTPUT_RECORDS: 0
		SHUFFLED_MAPS: 2
		REDUCE_OUTPUT_RECORDS: 1
		MAP_OUTPUT_RECORDS: 1
		COMBINE_INPUT_RECORDS: 0
		CPU_MILLISECONDS: 12850
		COMMITTED_HEAP_BYTES: 567803904
	Shuffle Errors
		CONNECTION: 0
		WRONG_LENGTH: 0
		BAD_ID: 0
		WRONG_MAP: 0
		WRONG_REDUCE: 0
		IO_ERROR: 0
Job executed successfully

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

捐助开发者 

在兴趣的驱动下,写一个免费的东西，有欣喜，也还有汗水，希望你喜欢我的作品，同时也能支持一下。 当然，有钱捧个钱场（支持支付宝和微信 以及扣扣群），没钱捧个人场，谢谢各位。

 

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