mgaido91 commented on a change in pull request #24405: [SPARK-27506][SQL] Allow
deserialization of Avro data using compatible schemas
URL: https://github.com/apache/spark/pull/24405#discussion_r304787486
##########
File path:
external/avro/src/main/scala/org/apache/spark/sql/avro/functions.scala
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@@ -28,39 +28,59 @@ object functions {
// scalastyle:on: object.name
/**
- * Converts a binary column of avro format into its corresponding catalyst
value. The specified
- * schema must match the read data, otherwise the behavior is undefined: it
may fail or return
- * arbitrary result.
+ * Converts a binary column of avro format into its corresponding catalyst
value. If a writer's
+ * schema is provided, a different (but compatible) schema can be used for
reading. If no writer's
+ * schema is provided, the specified schema must match the read data,
otherwise the behavior is
+ * undefined: it may fail or return arbitrary result.
*
* @param data the binary column.
* @param jsonFormatSchema the avro schema in JSON string format.
+ * @param writerJsonFormatSchema the avro schema in JSON string format used
to serialize the data.
*
* @since 3.0.0
*/
@Experimental
def from_avro(
data: Column,
- jsonFormatSchema: String): Column = {
- new Column(AvroDataToCatalyst(data.expr, jsonFormatSchema, Map.empty))
+ jsonFormatSchema: String,
+ writerJsonFormatSchema: Option[String]): Column = {
Review comment:
shall we have it with default value to `None`?
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