学习大数据DAY43 Sqoop 安装，配置环境和使用

news2024/9/26 1:15:41

sqoop 安装

配置 mysql

sqoop 安装

sqoop 指令集

sqoop 使用

sqoop 创建 hive 表

sqoop 全量导入表

sqoop 增量导入表

sqoop 全量导出表

sqoop 分区表导入表

sqoop 分区表导出表

上机练习

sqoop 安装

配置 mysql

create database test

DEFAULT CHARACTER SET utf8

DEFAULT COLLATE utf8_general_ci;

-- 创建数据库

show databases;

-- 创建账号

Create user 'test'@'%' identified by 'test';

Grant all privileges on test.*

to test@'%'

identified by 'test' with grant option;

-- 刷新权限配置

flush privileges;

sqoop 安装

# 1. 拷贝安装包以及 mysql 的 jar 到 /root 目录并解压

tar

-zvxf

sqoop-1.4.6.bin__hadoop-2.0.4-alpha.tar.gz

-C

/opt/module/

# 2. 配置环境变量

vim /etc/profile.d/my_env.sh

# 加入 sqoop 路径

#SQOOP_HOME

export

SQOOP_HOME=/opt/module/sqoop-1.4.6.bin__hadoop-2.0.4-alpha

export PATH=$PATH:$SQOOP_HOME/bin

# 刷新环境变量

source /etc/profile

# 3. 配置 sqoop

cd $SQOOP_HOME/conf

cp sqoop-env-template.sh sqoop-env.sh

vim sqoop-env.sh

# 配置信息

export HADOOP_COMMON_HOME=/opt/module/hadoop-3.1.3

export HADOOP_MAPRED_HOME=/opt/module/hadoop-3.1.3

export HIVE_HOME=/opt/module/apache-hive-3.1.2-bin

#export ZOOKEEPER_HOME=/opt/module/zookeeper-3.4.10

# 拷贝 jdbc 驱动到 sqoop 的 lib 目录下

mysql-connector-java-5.1.27-bin.jar

/opt/module/sqoop-1.4.6.bin__hadoop-2.0.4-alpha/lib/

# 连接测试

sqoop list-databases --connect jdbc:mysql://localhost:3306/

--username root --password root

sqoop 指令集

sqoop 使用

sqoop 创建 hive 表

$ bin/sqoop create-hive-table \

--connect jdbc:mysql://hadoop102:3306/company \

--username test \

--password test \

--table test \

--hive-table test

sqoop 全量导入表

#!/bin/bash

sqoop import \

--connect

"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc

oding=utf-8" \

--username test \

--password test \

--table student2 \

--hive-import \

--delete-target-dir \

--hive-database db_hive \

--fields-terminated-by "\t" \

--target-dir "/user/hive/warehouse/db_hive.db/student2_sqoop" \

--hive-table student2_sqoop \

-m 1

sqoop 增量导入表

bin/sqoop import \

--connect jdbc:mysql://hadoop102:3306/test \

--username root \

--password root \

--table emp \

--check-column deptno \

--incremental lastmodified \

--last-value "10" \

--m 1 \

--append

sqoop 全量导出表

#!/bin/bash

sqoop export \

--connect

"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc

oding=utf-8" \

--username test \

--password test \

-m 1 \

--table student2 \

--input-fields-terminated-by ',' \

--export-dir '/user/hive/warehouse/db_hive.db/student2'

sqoop 分区表导入表

#!/bin/bash

sqoop_import(){

sqoop import \

--connect

"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc

oding=utf-8" \

--username test \

--password test \

--query

"select * from maket_p where cast(year(ord_date) as

decimal)='$part' and \$CONDITIONS" \

--hive-import \

--create-hive-table \

--hive-overwrite \

--fields-terminated-by "\t" \

--hive-database db_hive \

--hive-table market_sqoop \

--target-dir

"/user/hive/warehouse/db_hive.db/market_sqoop/type_p=$part/" \

--hive-partition-key type_p \

--hive-partition-value "$part" \

-m 1

}

for part in `mysql -uroot -proot --database=test -N -e \

"select distinct cast(year(ord_date) as decimal) from maket_p

order by cast(year(ord_date) as decimal) "`

do echo "$part 年数据导入 ..."

sqoop_import

done

beeline -u jdbc:hive2://hadoop100:10000/db_hive \

-n root -p root --outputformat=csv2 --showHeader=false \

-e 'msck repair table market_sqoop;'

sqoop 分区表导出表

#!/bin/bash

sqoop_maket(){

sqoop export \

--connect

"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc

oding=utf-8" \

--username test \

--password test \

-m 1 \

--table maket_p \

--input-fields-terminated-by '\t' \

--export-dir "/user/hive/warehouse/db_hive.db/maket_p/$val/"

}

part=`beeline -u jdbc:hive2://hadoop100:10000/db_hive \

-n root -p root --outputformat=csv2 --showHeader=false \

-e 'show partitions maket_p;'`

for val in $part

echo $val

sqoop_maket

done

上机练习

1 全表数据导出表自选

选择 hive 数据库的一张表导出到 mysql 的一张表里：

#!/bin/bash
sqoop export \
--connect
"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc
oding=utf-8" \
--username test \
--password test \--table student2 \
--export-dir /user/hive/warehouse/db_hive.db/student2 \
--fields-terminated-by "," \
-m 1

结果展示：

2 全表数据导入

#!/bin/bash
sqoop import \
--connect
"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc
oding=utf-8" \
--username test \
--password test \
--table student2 \
--delete-target-dir \
--create-hive-table \
--hive-import \
--hive-database db_hive \
--hive-overwrite \
--hive-table student2_sqoop \
--target-dir /user/hive/warehouse/db_hive.db/student2_sqoop \
--input-fields-terminated-by ',' \
-m 1

3 分区表数据导出

#!/bin/bash
sqoop_comm(){
sqoop export \
--connect
"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc
oding=utf-8" \
--username test \
--password test \
--table log_ \
--export-dir /user/hive/warehouse/db_hive.db/log/$part \
--fields-terminated-by '\t' \
-m 1
}
for part in \
`beeline -u "jdbc:hive2://hadoop100:10000/db_hive" \
--showHeader=False --outputformat=csv2 \
-n root -p 123456 -e 'show partitions log'`
do
echo "-----------$part-----------"
sqoop_comm
done

4 分区表数据导入

#!/bin/bash
sqoop_comm(){
sqoop import \
--connect
"jdbc:mysql://hadoop100:3306/test?useUnicode=true&characterEnc
oding=utf-8" \
--username test \
--password test \
--query "select * from log_ where date_format(cast(date_ as
date),'%Y%m%d')=$part and \$CONDITIONS" \
--delete-target-dir \
--create-hive-table \
--hive-import \
--hive-overwrite \
--hive-table sqoop_log \
--hive-database db_hive \
--hive-partition-key load_date \
--hive-partition-value $part \
--target-dir
/user/hive/warehouse/db_hive.db/sqoop_log/load_date=$part \
--input-fields-terminated-by '\t' \
-m 1
}
for part in \
`mysql -utest -ptest --database=test -Ne \"select distinct DATE_FORMAT(cast(date_ as date),'%Y%m%d')from
log_"`
do
echo "---------$part---------"
sqoop_comm
done
beeline -u "jdbc:hive2://hadoop100:10000/db_hive" \
--showHeader=False --outputformat=csv2 \
-n root -p 123456 -e 'msck repair table sqoop_log