cloud-fan commented on a change in pull request #32960:
URL: https://github.com/apache/spark/pull/32960#discussion_r666907672
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File path: docs/sql-performance-tuning.md
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@@ -273,7 +273,32 @@ This feature coalesces the post shuffle partitions based
on the map output stati
</table>
### Converting sort-merge join to broadcast join
-AQE converts sort-merge join to broadcast hash join when the runtime
statistics of any join side is smaller than the broadcast hash join threshold.
This is not as efficient as planning a broadcast hash join in the first place,
but it's better than keep doing the sort-merge join, as we can save the sorting
of both the join sides, and read shuffle files locally to save network
traffic(if `spark.sql.adaptive.localShuffleReader.enabled` is true)
+AQE converts sort-merge join to broadcast hash join when the runtime
statistics of any join side is smaller than the adaptive broadcast hash join
threshold. This is not as efficient as planning a broadcast hash join in the
first place, but it's better than keep doing the sort-merge join, as we can
save the sorting of both the join sides, and read shuffle files locally to save
network traffic(if `spark.sql.adaptive.localShuffleReader.enabled` is true)
+ <table class="table">
+ <tr><th>Property Name</th><th>Default</th><th>Meaning</th><th>Since
Version</th></tr>
+ <tr>
+ <td><code>spark.sql.adaptive.autoBroadcastJoinThreshold</code></td>
+ <td>(none)</td>
Review comment:
shall we mention the default value is the same as
`spark.sql.autoBroadcastJoinThreshold`?
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