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https://issues.apache.org/jira/browse/FLINK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16719879#comment-16719879
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vinoyang commented on FLINK-10143:
----------------------------------
Hi [~twalthr] We also encountered this problem and then found this issue. I
want to know if we can improve its priority. Or temporarily remove this
function from the official documentation or give a description of the problem.
Otherwise it will cause trouble to the user.
> date_format throws CodeGenException
> -----------------------------------
>
> Key: FLINK-10143
> URL: https://issues.apache.org/jira/browse/FLINK-10143
> Project: Flink
> Issue Type: Bug
> Components: Table API & SQL
> Affects Versions: 1.6.0
> Reporter: sean.miao
> Priority: Major
> Attachments: image-2018-08-14-18-11-40-144.png
>
>
> "insert into mtmp_sink SELECT DATE_FORMAT(time_str2tms,'%Y%d%m') FROM
> mtmp_source";
> We have recently used the date_format method like the above sql, but found
> that this method does not work.
> !image-2018-08-14-18-11-40-144.png!
> error msg is :
> org.apache.flink.table.codegen.CodeGenException: Incompatible types of
> expression and result type. Expression[GeneratedExpression(result$6,isNull$7,
> java.lang.String result$4 = "%Y, %d %M";
> boolean isNull$7 = isNull$3 || false;
> java.lang.String result$6 = "";
> if (!isNull$7) {
>
> result$6 = dateFormatter$5.print(result$2);
>
> isNull$7 = (result$6 == null);
>
> }
> ,String,false)] type is [String], result type is [Timestamp]
> at
> org.apache.flink.table.codegen.CodeGenerator$$anonfun$generateResultExpression$2.apply(CodeGenerator.scala:380)
> at
> org.apache.flink.table.codegen.CodeGenerator$$anonfun$generateResultExpression$2.apply(CodeGenerator.scala:378)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.flink.table.codegen.CodeGenerator.generateResultExpression(CodeGenerator.scala:378)
> at
> org.apache.flink.table.codegen.CodeGenerator.generateResultExpression(CodeGenerator.scala:336)
> at
> org.apache.flink.table.plan.nodes.CommonCalc$class.generateFunction(CommonCalc.scala:45)
> at
> org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.generateFunction(DataStreamCalc.scala:43)
> at
> org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.translateToPlan(DataStreamCalc.scala:116)
> at
> org.apache.flink.table.plan.nodes.datastream.DataStreamGroupAggregate.translateToPlan(DataStreamGroupAggregate.scala:113)
> at
> org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.translateToPlan(DataStreamCalc.scala:97)
> at
> org.apache.flink.table.api.StreamTableEnvironment.translateToCRow(StreamTableEnvironment.scala:999)
> at
> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:926)
> at
> org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:372)
> at
> org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:786)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:723)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:683)
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