Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16636#discussion_r99459298
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveUtils.scala
---
@@ -455,4 +462,133 @@ private[spark] object HiveUtils extends Logging {
case (decimal, DecimalType()) => decimal.toString
case (other, tpe) if primitiveTypes contains tpe => other.toString
}
+
+ /** Converts the native StructField to Hive's FieldSchema. */
+ private def toHiveColumn(c: StructField): FieldSchema = {
+ val typeString = if (c.metadata.contains(HiveUtils.hiveTypeString)) {
+ c.metadata.getString(HiveUtils.hiveTypeString)
+ } else {
+ c.dataType.catalogString
+ }
+ new FieldSchema(c.name, typeString, c.getComment.orNull)
+ }
+
+ /** Builds the native StructField from Hive's FieldSchema. */
+ private def fromHiveColumn(hc: FieldSchema): StructField = {
+ val columnType = try {
+ CatalystSqlParser.parseDataType(hc.getType)
+ } catch {
+ case e: ParseException =>
+ throw new SparkException("Cannot recognize hive type string: " +
hc.getType, e)
+ }
+
+ val metadata = new
MetadataBuilder().putString(HiveUtils.hiveTypeString, hc.getType).build()
+ val field = StructField(
+ name = hc.getName,
+ dataType = columnType,
+ nullable = true,
+ metadata = metadata)
+ Option(hc.getComment).map(field.withComment).getOrElse(field)
+ }
+
+ // TODO: merge this with HiveClientImpl#toHiveTable
--- End diff --
I moved a test case `SPARK-13709: reading partitioned Avro table with
nested schema` to `VersionSuite.scala`. This can help us to know the above
statement holds.
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