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cc @HyukjinKwon @viirya
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@@ -407,4 +407,119 @@ class MemoryStoreSuite
})
Github user mallman commented on the issue:
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> @mallman how about adding comment explaining why such workaround was done
+ bug number in parquet-mr ? So in future once that bug is fixed, code can be
cleaned.
It will take me more time
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Github user kevinyu98 commented on the issue:
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I am opening a new jira SPARK-22088 for this. I will close this PR. The
style fails is because a new JIRA SPARK-22088 fixed a style issue after I
submit my PR. I have included that JIRA in my new
Github user kevinyu98 closed the pull request at:
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+/*
+ *
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retest this please
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--- Diff: python/pyspark/ml/tests.py ---
@@ -836,6 +836,27 @@ def test_save_load_simple_estimator(self):
loadedModel =
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retest this please
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Can one of the admins verify this patch?
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GitHub user joseph-torres opened a pull request:
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[WIP] Implement stream-stream outer joins.
## What changes were proposed in this pull request?
Allow one-sided outer joins between two streams when a watermark is defined.
GitHub user jgoleary opened a pull request:
https://github.com/apache/spark/pull/19326
[SPARK-22107] Change as to alias in python quickstart
## What changes were proposed in this pull request?
Updated docs so that a line of python in the quick start guide executes.
Github user BryanCutler commented on the issue:
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Adding the patch to enable 0-parameter pandas_udf if it is requested in the
future
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Github user BryanCutler commented on the issue:
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This is a followup to #18659
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@cloud-fan @ueshin I'm not sure if you are ok with merging this soon, but
in adding the doctests I found there were problems with using the decorator and
having empty partitions. I fixed those
GitHub user BryanCutler opened a pull request:
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[SPARK--22106][PYSPARK][SQL] Disable 0-parameter pandas_udf and add doctests
## What changes were proposed in this pull request?
This change disables the use of 0-parameter pandas_udfs
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Jenkins, test this please
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Github user jiangxb1987 commented on the issue:
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Personally I don't suggest we add extra logic to resolve a non-bug.
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cc @WeichenXu123 mind take a look?
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Github user tgravescs commented on the issue:
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I just tried this out and it appears to be working for me for a running
application, haven't tried the history UI yet.@ajbozarth What browser are
you using and what are you running (a
Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/19311#discussion_r140559549
--- Diff:
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@@ -544,20 +544,39 @@ private[spark] class MemoryStore(
}
Github user sureshthalamati commented on the issue:
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Thank you for the input @gatorsmile
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--- Diff: python/pyspark/serializers.py ---
@@ -199,6 +211,55 @@ def __repr__(self):
return "ArrowSerializer"
+class
Github user sitalkedia commented on the issue:
https://github.com/apache/spark/pull/18805
Thanks for looking into this @srowen. Its weird, I dont understand that
either. Also, I am not able to reproduce this issue on my laptop.
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Github user steveloughran commented on the issue:
https://github.com/apache/spark/pull/17743
People don't realise how much object stores aren't file systems until they
discover all their assumptions are broken.
Once you know how they work, you can set up a workflow which is
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/19300
or find and fix more typos ;)
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@ArtRand I think this is still an issue which needs to be merged, do you
have any observations with this PR?
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Github user BryanCutler commented on the issue:
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Thanks @cloud-fan @ueshin and others who reviewed! I'll make followups to
disable 0-param and complete the docs for this.
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Github user juliuszsompolski commented on the issue:
https://github.com/apache/spark/pull/19324
@viirya This is related to https://github.com/apache/spark/pull/18931/, as
it also separates out the consume function. Maybe it would be enough to do
similar splits into functions in the
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19229
The performance gap issue (compared with RDD version), I create a separated
JIRA to track:
https://issues.apache.org/jira/browse/SPARK-22105
As the result of discussion with @cloud-fan
Github user juliuszsompolski commented on a diff in the pull request:
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@@ -462,18 +464,36 @@ case class
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@@ -329,6 +332,15 @@ case class
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@@ -599,10 +621,14 @@ case class
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@hvanhovell @gatorsmile @cloud-fan @rednaxelafx
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[SPARK-22103] Move HashAggregateExec parent consume to a separate function
in codegen
## What changes were proposed in this pull request?
HashAggregateExec codegen uses two paths
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Github user WeichenXu123 commented on the issue:
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@cloud-fan Can you help review the part of code which related to SQL
interface ?
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Github user HyukjinKwon commented on the issue:
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Will update the comment tomorrow.
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Github user hvanhovell commented on the issue:
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LGTM
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Jenkins, test this please.
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@hvanhovell
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[SPARK-22092] Reallocation in OffHeapColumnVector.reserveInternal corrupts
struct and array data
`OffHeapColumnVector.reserveInternal()` will only copy already inserted
values during reallocation if
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/19222
Ok, I missed that you had moved these into the base class. I still look
forward to the benchmark :)...
I still think that the hierarchy does give any benefit. All block
subclasses
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/19301#discussion_r140508154
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala
---
@@ -72,11 +74,19 @@ object
Github user kiszk commented on the issue:
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As @hvanhovell pointed out, the first implementation introduced a lot
polymorphic call sites in very performance critical code (e.g.
`getBaseObject()` or `getBaseOffset()`. While `MemoryBlock` class
Github user wangyum commented on a diff in the pull request:
https://github.com/apache/spark/pull/19322#discussion_r140503940
--- Diff:
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---
@@ -27,12 +28,12 @@ import
Github user guoxiaolongzte commented on the issue:
https://github.com/apache/spark/pull/19144
Thank you, I was wrong. I've seen it.
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Github user viirya commented on the issue:
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@stanzhai Thanks. I see. Because the aggregation functions are bound to
individual buffer slots, they are recognized as different expressions and won't
be eliminated.
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/19144
That's right, please look at
https://github.com/apache/spark/blob/master/streaming/src/main/scala/org/apache/spark/streaming/ui/AllBatchesTable.scala#L28
BTW, sometimes there's another
Github user viirya commented on the issue:
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Thanks @HyukjinKwon
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Because you didn't fetch the upstream I guess ..
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cc @cloud-fan @yaooqinn
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Github user hvanhovell commented on the issue:
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Circling back to the inheritance discussion. My worry is that this will
introduce a lot polymorphic call sites in very performance critical code. Even
if you tag on final to each method, the
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/18805
Hm, this might be a real error. It seems to be hanging at:
```
[info] ExternalAppendOnlyMapSuite:
...
[info] - simple cogroup (56 milliseconds)
[info] - spilling (3 seconds,
Github user guoxiaolongzte commented on the issue:
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https://github.com/guoxiaolongzte/spark/blob/master/streaming/src/main/scala/org/apache/spark/streaming/ui/AllBatchesTable.scala
It's strange that I didn't see my revised record.
Github user HyukjinKwon commented on the issue:
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This is merged to master ...
https://github.com/apache/spark/commit/10e37f6eb6819c9233830c0d97e8fd1c713be0f1
...
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Github user guoxiaolongzte commented on the issue:
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why is it closed?I think this should be incorporated into the master.
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