使用datax批量同步数据表的操作方法

2.json
```
{
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": [
"*"
],
"connection": [
{
"jdbcUrl": ["jdbc:mysql://192.168.1.12:3306/origin_db?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=utf8$],
"table": ["$tableName"]
}
],
"password": "pass",
"username": "user"
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": [
"*"
],
"connection": [
{
"jdbcUrl": "jdbc:mysql://192.168.1.2:3306/db2",
"table": ["$tableName"]
}
],
"password": "pass",
"username": "user",
"writeMode": "replace"
}
}
}
],
"setting": {
"speed": {
"channel": 5
}
}
}
}
```

2.table
```
table1
table2
table3
```

run.sh
```
#!/bin/bash
for tablename in `cat 2.table`;
do python2 /opt/datax/bin/datax.py -p"-DtableName=${tablename}" 2.json;
done
```

有在用的可以参考测试一下。

其他问题：
```
column 这里如果遇到关键字导致select失败的，可以这样添加字段名
"`order`","`interval`","id"
```

Review the issue's 2.json configuration, 2.table input, and run.sh entry point, including the datax.py invocation and MySQL reader/writer settings. Determine where this usage example belongs in the repository and verify the documented batch-sync procedure, including escaping reserved column names. Done means the procedure is placed in the appropriate documentation location and is understandable to users.

Written by the indexing model from the issue text.