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[SPARK-22462][SQL] Make rdd-based actions in Dataset trackable in SQL UI
## What changes were proposed in this pull request?
For the few Dataset actions such as `foreach`, currently no SQL
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Yup, I just checked it too and was writing a comment .. The current change
should pass :).
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[SPARK-22467]Added a switch to support whether `stdout_stream` and
`stderr_stream` output to disk
## What changes were proposed in this pull request?
We should add a switch to control
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@@ -0,0 +1,370 @@
+/*
+ * Licensed to
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Thank you @srowen for reviewing this.
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Right. @HyukjinKwon . I'll follow the final decision on this PR.
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -1183,3 +1183,24 @@ env | map
```{r, echo=FALSE}
sparkR.session.stop()
```
+
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good catch!
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Github user facaiy commented on the issue:
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I believe that unordered features will benefit a lot from the idea, however
I have two questions:
1. I'm a little confused by 964L in `traverseUnorderedSplits`. Is it a
backtracking algorithm?
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@dongjoon-hyun, btw, if I understood correctly,
> Note that this PR intentionally removes old ORCFileFormat to demonstrate
a complete replacement. We will bring back the old
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thanks, merging to master!
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lgtm
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LGTM overall. We should also consider how to show the histogram in ANALYZE
COLUMN, for debug purpose.
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retest this please
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--- Diff: python/pyspark/sql/session.py ---
@@ -416,6 +417,50 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
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can you send a new PR for 2.2? thanks!
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LGTM, merging to master!
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also backport to 2.2 since we consider it's a bug.
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Thanks @cloud-fan , I'll open up a PR for the backport to 2.2
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merged to master
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--- Diff: python/pyspark/sql/session.py ---
@@ -416,6 +417,50 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
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Github user dongjoon-hyun commented on the issue:
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Thank you for review. Yes. Technically, the previous one is not wrong. It
means an unordered set of attributes. So it's minor.
In both
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> I think we can follow what Hive/Impala did for interoperability, i.e.
create a config to interpret parquet INT96 as timezone-agnostic timestamp in
parquet reader of Spark.
If I understand
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Can one of the admins verify this patch?
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[SPARK-22461][ML] Move Spark ML model summaries into a dedicated package
## What changes were proposed in this pull request?
Added a common abstraction (the `Summary` trait) for all the
Github user srowen commented on the issue:
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Oh, this is tagged to the wrong JIRA. Should be SPARK-22461
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