實現:使用DataX讀取MYSQL到PG
環境搭建,參照
Datax(1)-讀寫MYSQL-To-MYSQL-(Win10安裝)
一:PG建表
t_user_info
CREATE TABLE "public"."t_user_info" (
"id" int4 NOT NULL,
"name" varchar(255) COLLATE "default",
"content" text COLLATE "default",
"createdate" varchar(32) COLLATE "default",
CONSTRAINT "t_user_info_pkey" PRIMARY KEY ("id")
)
WITH (OIDS=FALSE);
ALTER TABLE "public"."t_user_info" OWNER TO "postgres";
二:編寫腳本mysql-2-pg.json
{
"job": {
"setting": {
"speed": {
"channel": 1
}
},
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"username": "root",
"password": "111111",
"column": [ "id", "name","content" ,"createdate"],
"splitPk": "id",
"connection": [
{
"table": [
"t_user_info"
],
"jdbcUrl": [
"jdbc:mysql://127.0.0.1:3306/sourcedb"
]
}
]
}
},
"writer": {
"name": "postgresqlwriter",
"parameter": {
"username": "postgres",
"password": "111111",
"column": [ "id", "name","content","createdate"],
"preSql": [
"delete from t_user_info"
],
"connection": [
{
"jdbcUrl": "jdbc:postgresql://127.0.0.1:5432/postgres",
"table": [
"t_user_info"
]
}
]
}
}
}
]
}
}
三:執行
datax> python .\bin\datax.py .\task\mysql-2-pg.json
2020-04-20 23:05:04.919 [job-0] INFO StandAloneJobContainerCommunicator - Total 3 records, 125 bytes | Speed 12B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-04-20 23:05:04.926 [job-0] INFO JobContainer -
任務啓動時刻 : 2020-04-20 23:04:45
任務結束時刻 : 2020-04-20 23:05:04
任務總計耗時 : 19s
任務平均流量 : 12B/s
記錄寫入速度 : 0rec/s
讀出記錄總數 : 3
讀寫失敗總數 : 0
備註:
如果出現DataX亂碼
命令執行CHCP 65001回車
再執行 python .\bin\datax.py .\task\mysql-2-pg.json
四:驗證
PG
select * from "public"."t_user_info"
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