You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/10/13 22:36:54 UTC
[GitHub] [spark] HeartSaVioR commented on pull request #30033: [SPARK-33136][SQL] Fix mistakenly swapped parameter in V2WriteCommand.outputResolved
HeartSaVioR commented on pull request #30033:
URL: https://github.com/apache/spark/pull/30033#issuecomment-708046686
Btw that was hard to debug and required me to deal with Spark test code, as we get nothing from the error message on the case when all columns are matched. (In other words, considered as unresolved due to the type incompatibility on write between same column.) We can't get the information about the reason why the operator is considered as unresolved even we turn on TRACE log.
```
org.apache.spark.sql.AnalysisException: unresolved operator 'AppendData RelationV2[col_b#225, col_i#226, col_l#227L, col_f#228, col_d#229, col_da#230, col_ts_tz#231, col_s#232, col_fi#233, col_bi#234, col_de_1#235, col_de_2#236, col_de_3#237, col_st#238, col_li#239, col_ma#240] table_convert_read_all_types_5, Map(path -> table_convert_read_all_types_5), true;;
'AppendData RelationV2[col_b#225, col_i#226, col_l#227L, col_f#228, col_d#229, col_da#230, col_ts_tz#231, col_s#232, col_fi#233, col_bi#234, col_de_1#235, col_de_2#236, col_de_3#237, col_st#238, col_li#239, col_ma#240] table_convert_read_all_types_5, Map(path -> table_convert_read_all_types_5), true
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_da#49, col_ts_tz#63, col_s#17, col_fi#18, col_bi#19, col_de_1#78, col_de_2#94, col_de_3#111, col_st#21, col_li#22, col_ma#23]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_st#21, col_li#22, col_ma#23, col_da#49, col_ts_tz#63, col_de_1#78, col_de_2#94, col_de_3#111]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23, col_da#49, col_ts_tz#63, col_de_1#78, col_de_2#94, cast(col_de#20 as decimal(38,10)) AS col_de_3#111]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23, col_da#49, col_ts_tz#63, col_de_1#78, cast(col_de#20 as decimal(11,2)) AS col_de_2#94]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23, col_da#49, col_ts_tz#63, cast(col_de#20 as decimal(9,0)) AS col_de_1#78]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23, col_da#49, now() AS col_ts_tz#63]
+- Project [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23, current_date(Some(Asia/Seoul)) AS col_da#49]
+- LocalRelation [col_b#12, col_i#13, col_l#14L, col_f#15, col_d#16, col_s#17, col_fi#18, col_bi#19, col_de#20, col_st#21, col_li#22, col_ma#23]
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis(CheckAnalysis.scala:49)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis$(CheckAnalysis.scala:48)
at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:130)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$43(CheckAnalysis.scala:666)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$43$adapted(CheckAnalysis.scala:664)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:177)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:664)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:89)
at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:130)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:156)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
at org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:153)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:68)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:133)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:133)
at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:68)
at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:66)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:58)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$withCachedData$1(QueryExecution.scala:72)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.QueryExecution.withCachedData$lzycompute(QueryExecution.scala:71)
at org.apache.spark.sql.execution.QueryExecution.withCachedData(QueryExecution.scala:71)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:82)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:133)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:133)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:82)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:79)
at org.apache.spark.sql.execution.QueryExecution.assertOptimized(QueryExecution.scala:85)
at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:103)
at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:98)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:963)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:354)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:288)
... 47 elided
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org