Java大数据-DataX从 Oracle 中读取数据存到 MySQL、读取 Oracle 的数据存入 HDFS 中

Java大数据-DataX从 Oracle 中读取数据存到 MySQL、读取 Oracle 的数据存入 HDFS 中 一、读取数据存到 MySQL 1.MySQL 中创建表

[oracle@hadoop102 ~]$ mysql -uroot -p000000
mysql> create database oracle;
mysql> use oracle;
mysql> create table student(id int,name varchar(20));

2.编写 datax 配置文件

[oracle@hadoop102 ~]$ vim /opt/module/datax/job/oracle2mysql.json
{
 "job": {
 "content": [
 {
 "reader": {
 "name": "oraclereader",
 "parameter": {
 "column": ["*"],
 "connection": [
 {
 "jdbcUrl": 
["jdbc:oracle:thin:@hadoop102:1521:orcl"],
 "table": ["student"]
 }
 ],
 "password": "000000",
 "username": "atguigu"
 }
 },
 "writer": {
 "name": "mysqlwriter",
 "parameter": {
 "column": ["*"],
 "connection": [
 {
 "jdbcUrl": "jdbc:mysql://hadoop102:3306/oracle",
 "table": ["student"]
 }
 ],
 "password": "000000",
 "username": "root",
 "writeMode": "insert"
 }
 }
 }
],
 "setting": {
 "speed": {
 "channel": "1"
 }
 }
 } }

3.执行命令

[oracle@hadoop102 ~]$ 
/opt/module/datax/bin/datax.py /opt/module/datax/job/oracle2mysql.json

4.查看结果

mysql> select * from student;
+------+----------+
| id | name |
+------+----------+
| 1 | zhangsan |
+------+----------+

二、读取 Oracle 的数据存入 HDFS 中 1.编写配置文件

[oracle@hadoop102 datax]$ vim job/oracle2hdfs.json
{
 "job": {
 "content": [
 {
 "reader": {
 "name": "oraclereader", 
 "parameter": {
 "column": ["*"], 
 "connection": [
 {
 "jdbcUrl": 
["jdbc:oracle:thin:@hadoop102:1521:orcl"], 
 "table": ["student"]
 }
 ],
"password": "000000", 
 "username": "atguigu"
 }
 }, 
 "writer": {
 "name": "hdfswriter", 
 "parameter": {
 "column": [
 {
 "name": "id",
 "type": "int"
 },
 {
 "name": "name",
 "type": "string"
 }
 ], 
 "defaultFS": "hdfs://hadoop102:9000", 
 "fieldDelimiter": "t", 
 "fileName": "oracle.txt", 
 "fileType": "text", 
 "path": "/", 
 "writeMode": "append"
 }
 }
 }
 ], 
 "setting": {
 "speed": {
 "channel": "1"
 }
 }
 } }

2.执行

[oracle@hadoop102 datax]$ bin/datax.py job/oracle2hdfs.json

3.查看HDFS结果