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_r282083183
##########
File path: external/avro/src/main/scala/org/apache/spark/sql/avro/package.scala
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@@ -22,21 +22,24 @@ import org.apache.spark.annotation.Experimental
package object avro {
/**
- * 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 2.4.0
*/
@Experimental
@deprecated("Please use 'org.apache.spark.sql.avro.functions.from_avro'
instead.", "3.0.0")
def from_avro(
data: Column,
- jsonFormatSchema: String): Column =
- org.apache.spark.sql.avro.functions.from_avro(data, jsonFormatSchema)
+ jsonFormatSchema: String,
Review comment:
we can avoid this change, since it is deprecated, can't we?
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