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
```
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