我用的就是在启动TM时添加参数 -Dfile.encoding=UTF-8 解决的
在 2021-06-09 21:47:48，"Jason Lee" <[email protected]> 写道： > > >同遇到这个问题，看TM的日志的执行Vertic可以看到Cast(_UTF-16LE),然后我们是想往Kafka写入数据，结果写入乱码。 > > >然后想过通过（1）在集群机器的flink-conf.yaml文件中添加:env.java.opts: "-Dfile.encoding=UTF-8” >（2） 通过DECODE（）ENCODE（）将字符串编码解码成UTF-8或者GBK,都行不通 > > >上述两种方式对乱码数据处理吗但是都是还会出现中文乱码。不知道你尝试过什么方法？有没有成功解决的？ > > >| | >李闯 >| >| >[email protected] >| >签名由网易邮箱大师定制 > > >在2021年05月25日 23:31，casel.chen<[email protected]> 写道： > > > >我看flink官网介绍Table API & SQL的时候有打印sql执行计划中使用的是UTF-16LE字符集，为什么不用UTF-8呢？乱码会不会跟这个有关？ >https://ci.apache.org/projects/flink/flink-docs-release-1.13/zh/docs/dev/table/common/#%e8%a7%a3%e9%87%8a%e8%a1%a8 > > > >上述例子的结果是： > >```text == Abstract Syntax Tree == LogicalUnion(all=[true]) >LogicalFilter(condition=[LIKE($1, _UTF-16LE'F%')]) >FlinkLogicalDataStreamScan(id=[1], fields=[count, word]) >FlinkLogicalDataStreamScan(id=[2], fields=[count, word]) > >== Optimized Logical Plan == DataStreamUnion(all=[true], union all=[count, >word]) DataStreamCalc(select=[count, word], where=[LIKE(word, _UTF-16LE’F%')]) >DataStreamScan(id=[1], fields=[count, word]) DataStreamScan(id=[2], >fields=[count, word]) > >== Physical Execution Plan == Stage 1 : Data Source content : collect elements >with CollectionInputFormat > > > > > > > > > > > > > > > > > >在 2021-05-25 10:40:46，"casel.chen" <[email protected]> 写道： >数据库字符编码设置如下 > > >character_set_client,utf8mb4 >character_set_connection,utf8mb4 >character_set_database,utf8mb4 >character_set_filesystem,binary >character_set_results,utf8mb4 >character_set_server,utf8 >character_set_system,utf8 >character_sets_dir,/u01/mysql57_20200229/share/charsets/ > > >客户端连接串是 >jdbc:mysql://host:3306/datav_test?useUnicode=true&characterEncoding=utf8 > > >本地运行flink sql 作业插入中文是正常显示的，一部署到测试服务器跑就会出现中文乱码。有何修复建议？谢谢！ > > > > > > > > > > > > > > > > > >在 2021-05-19 17:52:01，"Michael Ran" <[email protected]> 写道： > > > >数据库的字段字符编码 > > > > > > > > > > > > > > >在 2021-05-18 18:19:31，"casel.chen" <[email protected]> 写道： >我的URL连接串已经使用了 useUnicode=true&characterEncoding=UTF-8 结果还是会有乱码 > > > > > > > > > > > > > > > > > >在 2021-05-18 17:21:12，"王炳焱" <[email protected]> 写道： >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.
