Github user juliuszsompolski commented on the issue:
https://github.com/apache/spark/pull/19656
`isShouldStopRequired` is currently not respected by most operators (they
insert `shouldStop()` code regardless of this setting). If you're refactoring
this, maybe make sure that all
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/19623
Thanks, merging to master!
We can continue the discussion about write transaction(which doesn't belong
to this PR) in a new ticket.
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -416,6 +417,50 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row) for
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -416,6 +417,50 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row) for
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Github user vanzin commented on the issue:
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Note that unit tests will fail; they depend on changes being added in
#19678. I'm posting this to speed up the review process.
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GitHub user vanzin opened a pull request:
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[SPARK-20647][core] Port StorageTab to the new UI backend.
This required adding information about StreamBlockId to the store,
which is not available yet via the API. So an internal type was
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Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -512,9 +557,7 @@ def createDataFrame(self, data, schema=None,
samplingRatio=None, verifySchema=Tr
Github user wesm commented on the issue:
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@jreback @cpcloud could use some input on how to maximize cross-pandas
version compatibility in this patch.
I am not sure I would recommend that Spark support pandas versions lower
than
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -416,6 +417,50 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -2592,6 +2592,16 @@ def test_create_dataframe_from_array_of_long(self):
df =
Github user BryanCutler commented on a diff in the pull request:
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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 cloud-fan commented on the issue:
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LGTM
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retest this please
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[SPARK-20646][core] Port executors page to new UI backend.
The executors page is built on top of the REST API, so the page itself
was easy to hook up to the new code.
Some other pages
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Github user MLnick commented on the issue:
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@viirya could you resolve conflicts?
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[SPARK-20645][core] Port environment page to new UI backend.
This change modifies the status listener to collect the information
needed to render the envionment page, and populates that page and
Github user zsxwing commented on the issue:
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@briggsw This is pretty hard to hit. I could not make it happen in a real
query. So I think it's not worth to backport it.
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Github user cloud-fan commented on the issue:
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What's the interoperability issue with Impala? I think both Spark and
Impala store timestamp as parquet INT96, representing nanoseconds from epoch,
there is no timezone confusion. Internally
Github user zhouyejoe commented on the issue:
https://github.com/apache/spark/pull/19170
@jiangxb1987 Hi, I was waiting for the response from Ryan Blue about the
ticket SPARK-20084. The fix for the unit test should be pretty straight
forward. I just need a confirmation on the
Github user jsnowacki commented on a diff in the pull request:
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--- Diff: bin/find-spark-home.cmd ---
@@ -0,0 +1,44 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one
Github user foxish commented on the issue:
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@mridulm @jiangxb1987 @vanzin thanks for taking the time to review this. Is
there another round of reviews that you guys would want to do here? We're
hoping to get this and just **one other** PR
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--- Diff: bin/find-spark-home.cmd ---
@@ -0,0 +1,44 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one
Github user shivaram commented on a diff in the pull request:
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--- Diff: R/pkg/R/install.R ---
@@ -152,6 +152,9 @@ install.spark <- function(hadoopVersion = "2.7",
mirrorUrl = NULL,
})
Github user Whoosh commented on the issue:
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retest this please
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Ye, why not, let's continue this circle ;)
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--- Diff:
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jenkins retest this please
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Hello @vanzin thanks for continuing to help with this. Please take another
look at this refactor.
In this change, there is one place to interact with
`hadoopDelegationTokens` from
Github user kiszk commented on the issue:
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Sorry for being late to look at this. LGTM
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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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which release version is this intended for ?
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Will take a look bit by bit tomorrow.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -2550,6 +2550,13 @@ object functions {
* @group datetime_funcs
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--- Diff: python/pyspark/sql/functions.py ---
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return Column(sc._jvm.functions.month(_to_java_column(col)))
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https://github.com/apache/spark/pull/19676
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