amaliujia commented on code in PR #38347:
URL: https://github.com/apache/spark/pull/38347#discussion_r1009836536
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connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -207,3 +208,23 @@ message Sample {
int64 seed = 1;
}
}
+
+// Relation of type [[Range]] that generates a sequence of integers.
+message Range {
+ // Optional. Default value = 0
+ int32 start = 1;
+ int32 end = 2;
+ // Optional. Default value = 1
+ Step step = 3;
+ // Optional. Default value is assigned by 1) SQL conf
"spark.sql.leafNodeDefaultParallelism" if
+ // it is set, or 2) spark default parallelism.
+ NumPartitions num_partitions = 4;
Review Comment:
To really answer your question: if we plan to respect default values for
Spark for those optionally fields whose default proto values are different from
Spark default values, this is the only way to respect default values for Spark.
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