FlinkX的安装与简单使用
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FlinkX的安装与简单使用
FlinkX的安装
安装unzip：yum install unzip
1、上传并解压
unzip flinkx-1.10.zip -d /usr/local/soft/
2、配置环境变量
3、给bin/flinkx这个文件加上执行权限
chmod a+x flinkx
4、修改配置文件，设置运行端口
vim flinkconf/flink-conf.yaml
## web服务端口，不指定的话会随机生成一个
rest.bind-port: 8888
FlinkX的简单使用
mysqlToHDFS
- 配置文件
{
"job": {
"content": [
{
"reader": {
"parameter": {
"username": "root",
"password": "123456",
"connection": [
{
"jdbcUrl": [
"jdbc:mysql://master:3306/student?characterEncoding=utf8"
],
"table": [
"student"
]
}
],
"column": [
"*"
],
"customSql": "",
"where": "clazz = \'理科二班\'",
"splitPk": "",
"queryTimeOut": 1000,
"requestAccumulatorInterval": 2
},
"name": "mysqlreader"
},
"writer": {
"name": "hdfswriter",
"parameter": {
"path": "hdfs://master:9000/data/flinkx/student",
"defaultFS": "hdfs://master:9000",
"column": [
{
"name": "col1",
"index": 0,
"type": "string"
},
{
"name": "col2",
"index": 1,
"type": "string"
},
{
"name": "col3",
"index": 2,
"type": "string"
},
{
"name": "col4",
"index": 3,
"type": "string"
},
{
"name": "col5",
"index": 4,
"type": "string"
},
{
"name": "col6",
"index": 5,
"type": "string"
}
],
"fieldDelimiter": ",",
"fileType": "text",
"writeMode": "overwrite"
}
}
}
],
"setting": {
"restore": {
"isRestore": false,
"isStream": false
},
"errorLimit": {},
"speed": {
"channel": 1
}
}
}
}
- 启动任务
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHDFS.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/
- 监听日志
flinkx 任务启动后，会在执行命令的目录下生成一个nohup.out文件
tail -f nohup.out
- 通过web界面查看任务运行情况
http://master:8888
MySQLToHive
- 配置文件
{
"job": {
"content": [
{
"reader": {
"parameter": {
"username": "root",
"password": "123456",
"connection": [
{
"jdbcUrl": [
"jdbc:mysql://master:3306/student?characterEncoding=utf8"
],
"table": [
"student"
]
}
],
"column": [
"*"
],
"customSql": "",
"where": "clazz = \'文科二班\'",
"splitPk": "id",
"queryTimeOut": 1000,
"requestAccumulatorInterval": 2
},
"name": "mysqlreader"
},
"writer": {
"name": "hivewriter",
"parameter": {
"jdbcUrl": "jdbc:hive2://master:10000/testflinkx",
"username": "",
"password": "",
"fileType": "text",
"fieldDelimiter": ",",
"writeMode": "overwrite",
"compress": "",
"charsetName": "UTF-8",
"maxFileSize": 1073741824,
"tablesColumn": "{\\"student\\":[{\\"key\\":\\"id\\",\\"type\\":\\"string\\"},{\\"key\\":\\"name\\",\\"type\\":\\"string\\"},{\\"key\\":\\"age\\",\\"type\\":\\"string\\"}]}",
"defaultFS": "hdfs://master:9000"
}
}
}
],
"setting": {
"restore": {
"isRestore": false,
"isStream": false
},
"errorLimit": {},
"speed": {
"channel": 3
}
}
}
}
- 在hive中创建testflinkx数据库，并创建student分区表
create database testflinkx;
use testflinkx;
CREATE TABLE `student`(
`id` string,
`name` string,
`age` string)
PARTITIONED BY (
`pt` string)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY \',\'
- 启动hiveserver2
# 第一种方式：
hiveserver2
# 第二种方式:
hive --service hiveserver2
- 启动任务
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHive.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/
- 查看日志及运行情况同上
MySQLToHBase
- 配置文件
{
"job": {
"content": [
{
"reader": {
"parameter": {
"username": "root",
"password": "123456",
"connection": [
{
"jdbcUrl": [
"jdbc:mysql://master:3306/student?characterEncoding=utf8"
],
"table": [
"score"
]
}
],
"column": [
"*"
],
"customSql": "",
"splitPk": "student_id",
"queryTimeOut": 1000,
"requestAccumulatorInterval": 2
},
"name": "mysqlreader"
},
"writer": {
"name": "hbasewriter",
"parameter": {
"hbaseConfig": {
"hbase.zookeeper.property.clientPort": "2181",
"hbase.rootdir": "hdfs://master:9000/hbase",
"hbase.cluster.distributed": "true",
"hbase.zookeeper.quorum": "master,node1,node2",
"zookeeper.znode.parent": "/hbase"
},
"table": "testFlinkx",
"rowkeyColumn": "$(cf1:student_id)_$(cf1:course_id)",
"column": [
{
"name": "cf1:student_id",
"type": "string"
},
{
"name": "cf1:course_id",
"type": "string"
},
{
"name": "cf1:score",
"type": "string"
}
]
}
}
}
],
"setting": {
"restore": {
"isRestore": false,
"isStream": false
},
"errorLimit": {},
"speed": {
"channel": 3
}
}
}
}
- 启动hbase 并创建testflinkx表
create \'testFlinkx\',\'cf1\'
- 启动任务
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHBase.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/
- 查看日志及运行情况同上
MySQLToMySQL
- 配置文件
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": [
{
"name": "id",
"type": "int"
},
{
"name": "name",
"type": "string"
},
{
"name": "age",
"type": "int"
},
{
"name": "gender",
"type": "string"
},
{
"name": "clazz",
"type": "string"
}
],
"username": "root",
"password": "123456",
"connection": [
{
"jdbcUrl": [
"jdbc:mysql://master:3306/student?useSSL=false"
],
"table": [
"student"
]
}
]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"username": "root",
"password": "123456",
"connection": [
{
"jdbcUrl": "jdbc:mysql://master:3306/student?useSSL=false",
"table": [
"student2"
]
}
],
"writeMode": "insert",
"column": [
{
"name": "id",
"type": "int"
},
{
"name": "name",
"type": "string"
},
{
"name": "age",
"type": "int"
},
{
"name": "gender",
"type": "string"
},
{
"name": "clazz",
"type": "string"
}
]
}
}
}
],
"setting": {
"speed": {
"channel": 1,
"bytes": 0
}
}
}
}
Flinkx-web安装
1.Flinkx的安装
- 1.下载源码包
2.解压和安装
2.1 用解压软件进行解压即可
2.2 window环境下双击解压后的flinkx-1.8_release\\bin\\install_jars.bat
linux/mac环境下执行 sh install_jars.sh
3.编译插件
使用cmd命令进入到 flinkx-1.8_release目录，使用maven命令进行编译
mvn clean package -Dmaven.test.skip=true
4.配置文件
4.1 flinkx-1.8_release\\flinkconf目录下flink-conf.yaml里添加如下:
rest.bind-port: 8888
4.2 flinkx-1.8_release\\下面创建job目录
4.3 在 flinkx-1.8_release\\job目录下面添加stream.json
"job" :
"content" : [
"reader":
"name": "streamreader",
"parameter":
"column": [
"name": "id",
"type": "int"
,
"name": "name",
"type": "string"
]
,
"writer" :
"parameter" :
"print": false
,
"name" : "streamwriter"
],
"setting" :
"restore" :
"isRestore" : false,
"isStream" : false
,
"errorLimit" :
,
"speed" :
"bytes" : 0,
"channel" : 1,
"rebalance" : true
4.4将图中所选择的文件上传到Linux服务器
4.5编写启动脚本start.sh文件
sh ./bin/flinkx-job ./job/stream.json -flinkconf ./flinkconf/ -pluginRoot ./plugins/
5.执行任务：
[root@mini4 hadoop]# tar -zxvf flinkx-1.8_release.tar.gz
[root@mini4 flinkx-1.8_release]# sh start.sh
演示结果如下
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