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https://issues.apache.org/jira/browse/SPARK-25378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16612399#comment-16612399
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Xiangrui Meng commented on SPARK-25378:
---------------------------------------
Comments from [~vomjom] at https://github.com/tensorflow/ecosystem/pull/100:
{quote}
We currently only do releases along with TensorFlow releases, and the next one
that'll include this is TF 1.12.
{quote}
This means Spark+TF users cannot migrate to Spark 2.4 until TF 1.12 is
released. I think we need to decide based on the impact instead of just saying
"this is not a public API". If it is not pubic, why didn't we hide it in the
first place? And as [~cloud_fan] mentioned, it is hard to implement data source
without touching those "private" APIs.
> ArrayData.toArray(StringType) assume UTF8String in 2.4
> ------------------------------------------------------
>
> Key: SPARK-25378
> URL: https://issues.apache.org/jira/browse/SPARK-25378
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Xiangrui Meng
> Priority: Critical
>
> The following code works in 2.3.1 but failed in 2.4.0-SNAPSHOT:
> {code}
> import org.apache.spark.sql.catalyst.util._
> import org.apache.spark.sql.types.StringType
> ArrayData.toArrayData(Array("a", "b")).toArray[String](StringType)
> res0: Array[String] = Array(a, b)
> {code}
> In 2.4.0-SNAPSHOT, the error is
> {code}java.lang.ClassCastException: java.lang.String cannot be cast to
> org.apache.spark.unsafe.types.UTF8String
> at
> org.apache.spark.sql.catalyst.util.GenericArrayData.getUTF8String(GenericArrayData.scala:75)
> at
> org.apache.spark.sql.catalyst.InternalRow$$anonfun$getAccessor$8.apply(InternalRow.scala:136)
> at
> org.apache.spark.sql.catalyst.InternalRow$$anonfun$getAccessor$8.apply(InternalRow.scala:136)
> at org.apache.spark.sql.catalyst.util.ArrayData.toArray(ArrayData.scala:178)
> ... 51 elided
> {code}
> cc: [~cloud_fan] [~yogeshg]
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