你在flinkSQL连接mysql表的时候配置url=jdbc:mysql://127.0.0.1:3306/database?useUnicode=true&characterEncoding=UTF-8,像这样<br/>CREATE
TABLE jdbc_sink(<br/> id INT COMMENT '订单id',<br/> goods_name
VARCHAR(128) COMMENT '商品名称',<br/> price DECIMAL(32,2) COMMENT '商品价格',<br/>
user_name VARCHAR(64) COMMENT '用户名称'<br/>) WITH (<br/> 'connector' =
'jdbc',<br/> 'url' =
'jdbc:mysql://127.0.0.1:3306/database?useUnicode=true&characterEncoding=UTF-8',<br/>
'username' = 'mysqluser',<br/> 'password' = 'mysqluser',<br/>
'table-name' = 'jdbc_sink'<br/>)
在 2021-05-18 11:55:46,"casel.chen" <[email protected]> 写道:
>我的flink sql作业如下
>
>
>SELECT
>product_name,
>window_start,
>window_end,
>CAST(SUM(trans_amt)ASDECIMAL(24,2)) trans_amt,
>CAST(COUNT(order_no)ASBIGINT) trans_cnt,
>-- LOCALTIMESTAMP AS insert_time,
>'微支付事业部'AS bus_name
>FROM(
>
>
>mysql sink表的定义如下
>CREATE TABLE XXX (
>) Engine=InnoDB AUTO_INCREMENT=31 DEFAULT CHARSET=utf8mb4;
>
>
>运行起来后写入mysql表的数据带有中文乱码 ??????
>
>
>
>查看作业运行日志后发现其使用了 UTF-16LE 字符集,有什么办法可以让其使用 utf8mb4 字符集么?
>2021-05-17 18:02:25,010 INFO
>org.apache.flink.runtime.taskexecutor.TaskExecutor [] - Received task
>GroupAggregate(groupBy=[product_name, window_start, window_end],
>select=[product_name, window_start, window_end, SUM_RETRACT(trans_amt) AS $f3,
>COUNT_RETRACT(order_no) AS $f4]) -> Calc(select=[CAST(product_name) AS
>product_name, (CAST(window_start) DATE_FORMAT _UTF-16LE'yyyy-MM-dd HH:mm:ss')
>AS window_start, (CAST(window_end) DATE_FORMAT _UTF-16LE'yyyy-MM-dd HH:mm:ss')
>AS window_end, CAST($f3) AS trans_amt, CAST($f4) AS trans_cnt, CAST(()) AS
>insert_time, _UTF-16LE'??????????????????':VARCHAR(2147483647) CHARACTER SET
>"UTF-16LE" AS bus_name]) -> Sink:
>Sink(table=[default_catalog.default_database.all_trans_5m_new],
>fields=[product_name, window_start, window_end, trans_amt, trans_cnt,
>insert_time, bus_name]) (1/1)#0 (1b5f26dcd9a6071f36753b93a0ea9bea), deploy
>into slot with allocation id 9f4c7d45bdf429f89158e2f8451663e0.
>2021-05-17 18:02:25,013 INFO org.apache.flink.runtime.taskmanager.Task [] -
>GroupAggregate(groupBy=[product_name, window_start, window_end, id, data_type,
>mer_cust_id, order_no, trans_date], select=[product_name, window_start,
>window_end, id, data_type, mer_cust_id, order_no, trans_date,
>MAX_RETRACT(trans_amt) AS trans_amt]) -> Calc(select=[product_name,
>window_start, window_end, trans_amt, order_no]) (1/1)#0
>(ef6b0a94e75cc1665e4ce3d40e74ab0c) switched from CREATED to DEPLOYING.