datax 写入oracle,怎么增量替换
时间: 2023-06-30 22:05:34 浏览: 233
在 DataX 中,实现 Oracle 增量替换的方式通常有两种:
1. 使用 `writer.oracle` 的 `replace` 参数
可以在 Oracle Writer 的配置文件中设置 `replace` 参数为 `true`,这样 DataX 就会使用 replace 方式进行增量替换。具体配置如下:
```json
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "root",
"password": "123456",
"column": [
"id",
"name",
"age",
"sex"
],
"splitPk": "id",
"connection": [
{
"jdbcUrl": "jdbc:mysql://localhost:3306/test?useSSL=false",
"table": [
"user"
]
}
]
}
},
"writer": {
"name": "oraclewriter",
"parameter": {
"username": "test",
"password": "test",
"column": [
"id",
"name",
"age",
"sex"
],
"preSql": "truncate table user",
"replace": true,
"connection": [
{
"jdbcUrl": "jdbc:oracle:thin:@localhost:1521:orcl",
"table": [
"user"
]
}
]
}
}
}
],
"setting": {
"speed": {
"channel": 3
}
}
}
}
```
通过设置 `replace` 参数为 `true`,Oracle Writer 将使用 `replace` 方式进行增量替换。
2. 在 SQL 语句中使用 `merge` 语句
另一种方式是在 SQL 语句中使用 `merge` 语句实现增量替换。具体实现方法如下:
```json
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "root",
"password": "123456",
"column": [
"id",
"name",
"age",
"sex"
],
"splitPk": "id",
"connection": [
{
"jdbcUrl": "jdbc:mysql://localhost:3306/test?useSSL=false",
"table": [
"user"
]
}
]
}
},
"writer": {
"name": "oraclewriter",
"parameter": {
"username": "test",
"password": "test",
"column": [
"id",
"name",
"age",
"sex"
],
"preSql": "truncate table user",
"connection": [
{
"jdbcUrl": "jdbc:oracle:thin:@localhost:1521:orcl",
"table": [
"user"
]
}
],
"writeMode": "batch",
"postSql": [
"merge into user t1 using (select ? as id, ? as name, ? as age, ? as sex from dual) t2 on (t1.id = t2.id) when matched then update set t1.name = t2.name, t1.age = t2.age, t1.sex = t2.sex when not matched then insert (t1.id, t1.name, t1.age, t1.sex) values (t2.id, t2.name, t2.age, t2.sex)"
]
}
}
}
],
"setting": {
"speed": {
"channel": 3
}
}
}
}
```
在 Oracle Writer 的配置文件中设置 `writeMode` 参数为 `batch`,并在 `postSql` 中使用 `merge` 语句实现增量替换。在 `merge` 语句中,使用 `when matched then update` 来更新已有记录,使用 `when not matched then insert` 来插入新记录。
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