[
https://issues.apache.org/jira/browse/SPARK-39015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Raza Jafri updated SPARK-39015:
-------------------------------
Description:
[~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
was:
[~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}
> 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: Spark Core
> 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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