Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17719#discussion_r112804550
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -68,6 +68,18 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
}
/**
+ * Specifies the schema by using the input DDL-formatted string. Some
data sources (e.g. JSON) can
+ * infer the input schema automatically from data. By specifying the
schema here, the underlying
+ * data source can skip the schema inference step, and thus speed up
data loading.
+ *
+ * @since 2.3.0
+ */
+ def schema(schemaString: String): DataFrameReader = {
+ this.userSpecifiedSchema = Option(StructType.fromDDL(schemaString))
--- End diff --
This change will make PySpark API inconsistent with the Scala API
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