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Anyone can take over this PR and submit it again?
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@maropu, looking at the pushdown benchmark, it looks like ORC and Parquet
either both benefit or both do not benefit from pushdown. In some cases ORC is
much faster, which is due to the fact that
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--- Diff: docs/sql-programming-guide.md ---
@@ -1338,6 +1338,16 @@ the following case-insensitive options:
+
+
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LGTM Retest this please.
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LGTM retest this please
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@maropu, are you sure about the INT and FLOAT columns? I think you might
have that assessment backwards. Here's the INT results from the PR gist:
```
SQL Single INT Column Scan:
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retest this please
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@maasg as comment in #21194, I just consider we should not change the
behavior while `seconds > rampUpTimeSeconds`. Maybe it more important than
smooth.
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merged to master / 2.3 / 2.2
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retest this please
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Oops ..
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retest this please
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It should be fixed. Let's retry.
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Seems like some issue with R build. I will retry later.
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thanks, merging to master/2.3!
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cc @rdblue @gatorsmile @gengliangwang
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[SPARK-24172][SQL] we should not apply operator pushdown to data source v2
many times
## What changes were proposed in this pull request?
In `PushDownOperatorsToDataSource`, we use
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameRangeSuite.scala ---
@@ -153,23 +153,17 @@ class DataFrameRangeSuite extends
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/21216
Is that the recommended way of deploying federated HDFS, though? I've
always seen it deployed with viewfs as the defaultFS, which automatically
handles all this.
The way you've deployed, it
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