Re: flink 1.11 ddl sql 添加PROCTIME()列，读取csv错误

Thu, 23 Jul 2020 08:06:16 -0700 

和hive结合下，filesystem是支持流式读取的，可以参考 [1]

https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/hive/hive_streaming.html#streaming-reading

Leonard Xu <[email protected]> 于2020年7月23日周四 下午10:28写道：

> Hi,
>
> Filesystem connector 支持streaming 写入，streaming 读取
> 还未支持，所以读取完了就停止。支持streaming 写入从文档上看[1]应该是有计划的
>
>
> [1]
> https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/connectors/filesystem.html
> <
> https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/connectors/filesystem.html
> >
>
>
> > 在 2020年7月23日，22:05，Asahi Lee <[email protected]> 写道：
> >
> > 使用filesystem读取csv作为源，使用流环境，为什么我的程序一执行就停止，而不是等待文件的追加写入，继续计算呢？
> > 还是filesystem只能用于批操作？
> >
> >
> >
> >
> > ------------------&nbsp;原始邮件&nbsp;------------------
> > 发件人:
>                                                     "user-zh"
>                                                                       <
> [email protected] <mailto:[email protected]>&gt;;
> > 发送时间:&nbsp;2020年7月23日(星期四) 上午9:55
> > 收件人:&nbsp;"user-zh"<[email protected] <mailto:
> [email protected]>&gt;;
> >
> > 主题:&nbsp;Re: flink 1.11 ddl sql 添加PROCTIME()列，读取csv错误
> >
> >
> >
> > Hi, Asahi
> >
> > 这是一个已知bug[1]，filesystem connector上处理计算列有点问题，已经有PR了，会在1.11.2和1.12版本上修复
> >
> >
> > Best
> > Leonard Xu
> > [1] https://issues.apache.org/jira/browse/FLINK-18665 <
> https://issues.apache.org/jira/browse/FLINK-18665> <
> https://issues.apache.org/jira/browse/FLINK-18665&gt <
> https://issues.apache.org/jira/browse/FLINK-18665&gt>;
> >
> > &gt; 在 2020年7月23日，00:07，Asahi Lee <[email protected] <mailto:
> [email protected]>&gt; 写道：
> > &gt;
> > &gt; 1. 程序
> > &gt; StreamExecutionEnvironment bsEnv =
> StreamExecutionEnvironment.getExecutionEnvironment();
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; EnvironmentSettings
> bsSettings =
> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; StreamTableEnvironment
> bsTableEnv = StreamTableEnvironment.create(bsEnv, bsSettings);
> > &gt;
> > &gt;
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; String sourceTableDDL =
> "CREATE TABLE fs_table (" +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; user_id STRING," +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; order_amount DOUBLE," +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; dt TIMESTAMP(3)," +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; pt AS PROCTIME() " +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; " ) WITH (" +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; 'connector'='filesystem'," +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; 'path'='D:\\Program
> Files\\JetBrains\\workspace\\table-walkthrough\\src\\main\\resources\\csv\\order.csv',"
> +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; "&amp;nbsp; 'format'='csv'" +
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> &amp;nbsp; &amp;nbsp; " )";
> > &gt;
> > &gt;
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> bsTableEnv.executeSql(sourceTableDDL);
> > &gt; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;
> bsTableEnv.executeSql("select * from fs_table").print();
> > &gt; 2. csv文件
> > &gt; order.csv
> > &gt; zhangsan,12.34,2020-08-03 12:23:50
> > &gt; lisi,234.67,2020-08-03 12:25:50
> > &gt; wangwu,57.6,2020-08-03 12:25:50
> > &gt; zhaoliu,345,2020-08-03 12:28:50
> > &gt;
> > &gt;
> > &gt;
> > &gt; 3. 错误
> > &gt; &amp;nbsp;- Source: FileSystemTableSource(user_id, order_amount,
> dt, pt) -&amp;gt; Calc(select=[user_id, order_amount, dt,
> PROCTIME_MATERIALIZE(()) AS pt]) -&amp;gt; SinkConversionToRow (4/6)
> (9ee0383d676a190b0a62d206039db26c) switched from RUNNING to FAILED.
> > &gt; java.io.IOException: Failed to deserialize CSV row.
> > &gt;  at
> org.apache.flink.formats.csv.CsvFileSystemFormatFactory$CsvInputFormat.nextRecord(CsvFileSystemFormatFactory.java:299)
> > &gt;  at
> org.apache.flink.formats.csv.CsvFileSystemFormatFactory$CsvInputFormat.nextRecord(CsvFileSystemFormatFactory.java:210)
> > &gt;  at
> org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:91)
> > &gt;  at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
> > &gt;  at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
> > &gt;  at
> org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:201)
> > &gt; Caused by: java.lang.RuntimeException: Row length mismatch. 4
> fields expected but was 3.
> > &gt;  at
> org.apache.flink.formats.csv.CsvRowDataDeserializationSchema.validateArity(CsvRowDataDeserializationSchema.java:441)
> > &gt;  at
> org.apache.flink.formats.csv.CsvRowDataDeserializationSchema.lambda$createRowConverter$1ca9c073$1(CsvRowDataDeserializationSchema.java:244)
> > &gt;  at
> org.apache.flink.formats.csv.CsvFileSystemFormatFactory$CsvInputFormat.nextRecord(CsvFileSystemFormatFactory.java:293)
> > &gt;  ... 5 more
>
>

回复