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[CH]map function issue: Unscaled value too large for precision #6681

@loudongfeng

Description

@loudongfeng

Backend

CH (ClickHouse)

Bug description

sql:

 SELECT map(1.0, '1', 2.0, '2');

will fail:

java.lang.ArithmeticException: Unscaled value too large for precision. If necessary set spark.sql.ansi.enabled to false to bypass this error.
	at org.apache.spark.sql.errors.QueryExecutionErrors$.unscaledValueTooLargeForPrecisionError(QueryExecutionErrors.scala:1008)
	at org.apache.spark.sql.types.Decimal.set(Decimal.scala:84)
	at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:593)
	at org.apache.spark.sql.types.Decimal.apply(Decimal.scala)
	at org.apache.spark.sql.catalyst.expressions.UnsafeArrayData.getDecimal(UnsafeArrayData.java:193)
	at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$11(InternalRow.scala:144)
	at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$11$adapted(InternalRow.scala:144)
	at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$16(InternalRow.scala:157)
	at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$16$adapted(InternalRow.scala:153)
	at org.apache.spark.sql.catalyst.util.ArrayData.toArray(ArrayData.scala:173)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$MapConverter.toScala(CatalystTypeConverters.scala:226)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$MapConverter.toScalaImpl(CatalystTypeConverters.scala:238)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$MapConverter.toScalaImpl(CatalystTypeConverters.scala:200)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toScala(CatalystTypeConverters.scala:114)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toScala(CatalystTypeConverters.scala:277)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toScala(CatalystTypeConverters.scala:241)
	at org.apache.spark.sql.catalyst.CatalystTypeConverters$.$anonfun$createToScalaConverter$2(CatalystTypeConverters.scala:490)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeCollectPublic$1(SparkPlan.scala:451)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
	at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:451)
	at org.apache.spark.sql.execution.HiveResult$.hiveResultString(HiveResult.scala:76)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.$anonfun$run$2(SparkSQLDriver.scala:69)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:69)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:384)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:504)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:498)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:498)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:286)
	at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
	at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:984)
	at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:191)
	at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:214)
	at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
	at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1072)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1081)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

Spark version

Spark-3.3.x

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