JkSelf commented on issue #7000:
URL:
https://github.com/apache/incubator-gluten/issues/7000#issuecomment-2311603523
@FelixYBW @zml1206 It seems spark doesn't support group by map type. And I
try both spark 3.2 and 3.4 and got the following exception:
```
expression type1.map cannot be used as a grouping expression because its
data type map<string,string> is not an orderable data type.;
Aggregate [map#14], [byte#0, short#1, int#2, long#3L, float#4, double#5,
decimal#6, string#7, binary#8, bool#9, date#10, timestamp#11, array#12,
struct#13, map#14]
+- SubqueryAlias type1
+- View (`type1`,
[byte#0,short#1,int#2,long#3L,float#4,double#5,decimal#6,string#7,binary#8,bool#9,date#10,timestamp#11,array#12,struct#13,map#14])
+- RelationV2[byte#0, short#1, int#2, long#3L, float#4, double#5,
decimal#6, string#7, binary#8, bool#9, date#10, timestamp#11, array#12,
struct#13, map#14] parquet
file:/mnt/DP_disk3/jk/projects/gluten/backends-velox/target/scala-2.12/test-classes/data-type-validation-data/type1
org.apache.spark.sql.AnalysisException: expression type1.map cannot be used
as a grouping expression because its data type map<string,string> is not an
orderable data type.;
Aggregate [map#14], [byte#0, short#1, int#2, long#3L, float#4, double#5,
decimal#6, string#7, binary#8, bool#9, date#10, timestamp#11, array#12,
struct#13, map#14]
+- SubqueryAlias type1
+- View (`type1`,
[byte#0,short#1,int#2,long#3L,float#4,double#5,decimal#6,string#7,binary#8,bool#9,date#10,timestamp#11,array#12,struct#13,map#14])
+- RelationV2[byte#0, short#1, int#2, long#3L, float#4, double#5,
decimal#6, string#7, binary#8, bool#9, date#10, timestamp#11, array#12,
struct#13, map#14] parquet
file:/mnt/DP_disk3/jk/projects/gluten/backends-velox/target/scala-2.12/test-classes/data-type-validation-data/type1
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis(CheckAnalysis.scala:52)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis$(CheckAnalysis.scala:51)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:182)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkValidGroupingExprs$1(CheckAnalysis.scala:328)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$15(CheckAnalysis.scala:340)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$15$adapted(CheckAnalysis.scala:340)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1(CheckAnalysis.scala:340)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1$adapted(CheckAnalysis.scala:97)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:263)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:97)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:92)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:182)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:205)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:202)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:75)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:183)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:183)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:75)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:73)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:65)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:98)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at
org.apache.gluten.execution.WholeStageTransformerSuite.$anonfun$compareResultsAgainstVanillaSpark$1(WholeStageTransformerSuite.scala:297)
at
org.apache.spark.sql.catalyst.plans.SQLHelper.withSQLConf(SQLHelper.scala:54)
at
org.apache.spark.sql.catalyst.plans.SQLHelper.withSQLConf$(SQLHelper.scala:38)
at
org.apache.gluten.execution.WholeStageTransformerSuite.org$apache$spark$sql$test$SQLTestUtilsBase$$super$withSQLConf(WholeStageTransformerSuite.scala:40)
```
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