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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/04/30 13:00:00 UTC
[jira] [Assigned] (SPARK-27591) A bug in UnivocityParser prevents
using UDT
[ https://issues.apache.org/jira/browse/SPARK-27591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-27591:
------------------------------------
Assignee: Apache Spark
> A bug in UnivocityParser prevents using UDT
> -------------------------------------------
>
> Key: SPARK-27591
> URL: https://issues.apache.org/jira/browse/SPARK-27591
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.2
> Reporter: Artem Kalchenko
> Assignee: Apache Spark
> Priority: Minor
>
> I am trying to define a UserDefinedType based on String but different from StringType in Spark 2.4.1 but it looks like there is a bug in Spark or I am doing smth incorrectly.
> I define my type as follows:
> {code:java}
> class MyType extends UserDefinedType[MyValue] {
> override def sqlType: DataType = StringType
> ...
> }
> @SQLUserDefinedType(udt = classOf[MyType])
> case class MyValue
> {code}
> I expect it to be read and stored as String with just a custom SQL type. In fact Spark can't read the string at all:
> {code:java}
> java.lang.ClassCastException: org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$makeConverter$11 cannot be cast to org.apache.spark.unsafe.types.UTF8String
> at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:46)
> at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getUTF8String(rows.scala:195)
> at org.apache.spark.sql.catalyst.expressions.JoinedRow.getUTF8String(JoinedRow.scala:102)
> {code}
> the problem is with UnivocityParser.makeConverter that doesn't return (String => Any) function but (String => (String => Any)) in the case of UDT, see UnivocityParser:184
> {code:java}
> case udt: UserDefinedType[_] => (datum: String) =>
> makeConverter(name, udt.sqlType, nullable, options)
> {code}
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