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https://issues.apache.org/jira/browse/SPARK-31466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-31466.
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Resolution: Invalid
> String/Int to VarcharType cast not supported in Spark
> -------------------------------------------------------
>
> Key: SPARK-31466
> URL: https://issues.apache.org/jira/browse/SPARK-31466
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Gourav Choubey
> Priority: Major
>
> While casting a string column to varchar it does not do the casting at all
> and column remains string.
>
> I tried to achieve it through VarcharType as below but it errors :
> for(i<-colList)
> { Df=Df.withColumn(i,Df(i).cast(VarcharType(1000))) }
> *org.apache.spark.sql.AnalysisException: cannot resolve 'CAST(`ColName AS
> VARCHAR(1000))' due to data type mismatch: cannot cast string to
> varchar(1000);;*
>
> *Also, I tried through selectExpr cast option but no success.*
>
> While trying to create an empty dataframe with VarcharType also throws an
> error
> *scala> var empty_df = spark.createDataFrame(sc.emptyRDD[Row], schema_rdd)*
> *scala.MatchError: VarcharType(1000) (of class
> org.apache.spark.sql.types.VarcharType)*
> *at
> org.apache.spark.sql.catalyst.encoders.RowEncoder$.org$apache$spark$sql$catalyst$enco*
>
> Please suggest a way to cast a string to varchar in spark. As a reading
> string column in SAS application has performance implications.
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