[jira] [Assigned] (SPARK-39015) SparkRuntimeException when trying to get non-existent key in a map

2022-04-27 Thread Max Gekk (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-39015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Max Gekk reassigned SPARK-39015:


Assignee: Hyukjin Kwon

> SparkRuntimeException when trying to get non-existent key in a map
> --
>
> Key: SPARK-39015
> URL: https://issues.apache.org/jira/browse/SPARK-39015
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.3.0
>Reporter: Raza Jafri
>Assignee: Hyukjin Kwon
>Priority: Major
>
> [~maxgekk] submitted a 
> [commit|https://github.com/apache/spark/commit/bc8c264851457d8ef59f5b332c79296651ec5d1e]
>  that tries to convert the key to SQL but that part of the code is blowing 
> up. 
> {code:java}
> scala> :pa
> // Entering paste mode (ctrl-D to finish)
> import org.apache.spark.sql.Row
> import org.apache.spark.sql.types.StructType
> import org.apache.spark.sql.types.StringType
> import org.apache.spark.sql.types.DataTypes
> val arrayStructureData = Seq(
> Row(Map("hair"->"black", "eye"->"brown")),
> Row(Map("hair"->"blond", "eye"->"blue")),
> Row(Map()))
> val mapType  = DataTypes.createMapType(StringType,StringType)
> val arrayStructureSchema = new StructType()
> .add("properties", mapType)
> val mapTypeDF = spark.createDataFrame(
> spark.sparkContext.parallelize(arrayStructureData),arrayStructureSchema)
> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> // Exiting paste mode, now interpreting.
> ++
> |element_at(properties, hair)|
> ++
> |   black|
> |   blond|
> |null|
> ++
> scala> spark.conf.set("spark.sql.ansi.enabled", true)
> scala> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> 22/04/25 18:26:01 ERROR Executor: Exception in task 6.0 in stage 5.0 (TID 23)
> org.apache.spark.SparkRuntimeException: The feature is not supported: literal 
> for 'hair' of class org.apache.spark.unsafe.types.UTF8String.
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.literalTypeUnsupportedError(QueryExecutionErrors.scala:240)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:101) 
> ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue(QueryErrorsBase.scala:44)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue$(QueryErrorsBase.scala:43)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.toSQLValue(QueryExecutionErrors.scala:69)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> {code}
> Seems like it's trying to convert UTF8String to a sql literal



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[jira] [Assigned] (SPARK-39015) SparkRuntimeException when trying to get non-existent key in a map

2022-04-25 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-39015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-39015:


Assignee: Apache Spark

> SparkRuntimeException when trying to get non-existent key in a map
> --
>
> Key: SPARK-39015
> URL: https://issues.apache.org/jira/browse/SPARK-39015
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.3.0
>Reporter: Raza Jafri
>Assignee: Apache Spark
>Priority: Major
>
> [~maxgekk] submitted a 
> [commit|https://github.com/apache/spark/commit/bc8c264851457d8ef59f5b332c79296651ec5d1e]
>  that tries to convert the key to SQL but that part of the code is blowing 
> up. 
> {code:java}
> scala> :pa
> // Entering paste mode (ctrl-D to finish)
> import org.apache.spark.sql.Row
> import org.apache.spark.sql.types.StructType
> import org.apache.spark.sql.types.StringType
> import org.apache.spark.sql.types.DataTypes
> val arrayStructureData = Seq(
> Row(Map("hair"->"black", "eye"->"brown")),
> Row(Map("hair"->"blond", "eye"->"blue")),
> Row(Map()))
> val mapType  = DataTypes.createMapType(StringType,StringType)
> val arrayStructureSchema = new StructType()
> .add("properties", mapType)
> val mapTypeDF = spark.createDataFrame(
> spark.sparkContext.parallelize(arrayStructureData),arrayStructureSchema)
> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> // Exiting paste mode, now interpreting.
> ++
> |element_at(properties, hair)|
> ++
> |   black|
> |   blond|
> |null|
> ++
> scala> spark.conf.set("spark.sql.ansi.enabled", true)
> scala> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> 22/04/25 18:26:01 ERROR Executor: Exception in task 6.0 in stage 5.0 (TID 23)
> org.apache.spark.SparkRuntimeException: The feature is not supported: literal 
> for 'hair' of class org.apache.spark.unsafe.types.UTF8String.
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.literalTypeUnsupportedError(QueryExecutionErrors.scala:240)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:101) 
> ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue(QueryErrorsBase.scala:44)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue$(QueryErrorsBase.scala:43)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.toSQLValue(QueryExecutionErrors.scala:69)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> {code}
> Seems like it's trying to convert UTF8String to a sql literal



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[jira] [Assigned] (SPARK-39015) SparkRuntimeException when trying to get non-existent key in a map

2022-04-25 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-39015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-39015:


Assignee: (was: Apache Spark)

> SparkRuntimeException when trying to get non-existent key in a map
> --
>
> Key: SPARK-39015
> URL: https://issues.apache.org/jira/browse/SPARK-39015
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.3.0
>Reporter: Raza Jafri
>Priority: Major
>
> [~maxgekk] submitted a 
> [commit|https://github.com/apache/spark/commit/bc8c264851457d8ef59f5b332c79296651ec5d1e]
>  that tries to convert the key to SQL but that part of the code is blowing 
> up. 
> {code:java}
> scala> :pa
> // Entering paste mode (ctrl-D to finish)
> import org.apache.spark.sql.Row
> import org.apache.spark.sql.types.StructType
> import org.apache.spark.sql.types.StringType
> import org.apache.spark.sql.types.DataTypes
> val arrayStructureData = Seq(
> Row(Map("hair"->"black", "eye"->"brown")),
> Row(Map("hair"->"blond", "eye"->"blue")),
> Row(Map()))
> val mapType  = DataTypes.createMapType(StringType,StringType)
> val arrayStructureSchema = new StructType()
> .add("properties", mapType)
> val mapTypeDF = spark.createDataFrame(
> spark.sparkContext.parallelize(arrayStructureData),arrayStructureSchema)
> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> // Exiting paste mode, now interpreting.
> ++
> |element_at(properties, hair)|
> ++
> |   black|
> |   blond|
> |null|
> ++
> scala> spark.conf.set("spark.sql.ansi.enabled", true)
> scala> mapTypeDF.selectExpr("element_at(properties, 'hair')").show
> 22/04/25 18:26:01 ERROR Executor: Exception in task 6.0 in stage 5.0 (TID 23)
> org.apache.spark.SparkRuntimeException: The feature is not supported: literal 
> for 'hair' of class org.apache.spark.unsafe.types.UTF8String.
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.literalTypeUnsupportedError(QueryExecutionErrors.scala:240)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:101) 
> ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue(QueryErrorsBase.scala:44)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryErrorsBase.toSQLValue$(QueryErrorsBase.scala:43)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
>   at 
> org.apache.spark.sql.errors.QueryExecutionErrors$.toSQLValue(QueryExecutionErrors.scala:69)
>  ~[spark-catalyst_2.12-3.3.0-SNAPSHOT.jar:3.3.0-SNAPSHOT]
> {code}
> Seems like it's trying to convert UTF8String to a sql literal



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