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[SPARK-24849][SPARK-24911][SQL][FOLLOW-UP] Converting a value of StructType to a DDL string #22377

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[SPARK-24849][SPARK-24911][SQL][FOLLOW-UP] Converting a value of StructType to a DDL string #22377

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2 changes: 2 additions & 0 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructField.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -79,6 +79,8 @@ case class StructField(
/**
* Returns a string containing a schema in DDL format. For example, the following value:
* `StructField("eventId", IntegerType)` will be converted to `eventId` INT.
*
* @since 2.4.0
*/
def toDDL: String = {
val comment = getComment()
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4 changes: 4 additions & 0 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala
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Expand Up @@ -365,6 +365,8 @@ case class StructType(fields: Array[StructField]) extends DataType with Seq[Stru
* `StructType(Seq(StructField("eventId", IntegerType), StructField("s", StringType)))`
* will be converted to `eventId` INT, `s` STRING.
* The returned DDL schema can be used in a table creation.
*
* @since 2.4.0
*/
def toDDL: String = fields.map(_.toDDL).mkString(",")

Expand Down Expand Up @@ -441,6 +443,8 @@ object StructType extends AbstractDataType {
/**
* Creates StructType for a given DDL-formatted string, which is a comma separated list of field
* definitions, e.g., a INT, b STRING.
*
* @since 2.2.0
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@HyukjinKwon HyukjinKwon Sep 10, 2018

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@gatorsmile, shouldn't it be a followup for SPARK-20009? Not a big deal anyway.

*/
def fromDDL(ddl: String): StructType = CatalystSqlParser.parseTableSchema(ddl)

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