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> I don't think they are independent as architecturally they make sense
together and represent a single concern: enabling use of remote dependencies
through init-containers. Missing any one of the
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@holdenk @sethah any other comments?
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retest this please
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> I checked some call sites. Here is one example that `extraArguments` has
`ev.value` instead of local variable.
Hey, `ev.value` is not from children, it's the output of the current
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--- Diff:
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@@ -566,6 +568,21 @@ object TypeCoercion {
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@@ -566,6 +568,21 @@ object TypeCoercion {
}
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Hi @brkyvz, could you take a look please?
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Ideally we should not change behaviors as possible as we can, but since
this behavior is from Hive and Hive also changed it, might be OK to follow Hive
and also change it? cc @hvanhovell too
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@cloud-fan yes, Hive changed and most important at the moment we are not
compliant with SQL standard. So currently Spark is returning results which are
different from Hive and not compliant with
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@tgravescs , could you please take a look when you have some time ?
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[SPARK-22845] [Scheduler] Modify spark.kubernetes.allocation.batch.delay to
take time instead of int
## What changes were proposed in this pull request?
Fixing configuration that was
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--- Diff: docs/running-on-kubernetes.md ---
@@ -0,0 +1,498 @@
+---
+layout: global
+title: Running Spark on Kubernetes
+---
+* This will
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Hi @brkyvz , I've added the new changes with the java classes. Had to make
the classes serializable for passing them to the KinesisReceiver. Please have a
look when you get time. Thanks.
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Github user kiszk commented on the issue:
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Oh, you are right. I misunderstood. After our optimizations, output is also
a part of `arguments`. Let me check others again.
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--- Diff: python/pyspark/sql/utils.py ---
@@ -110,3 +110,12 @@ def toJArray(gateway, jtype, arr):
for i in range(0, len(arr)):
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--- Diff:
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@@ -102,8 +101,63 @@ object SparkHiveExample {
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Github user jiangxb1987 commented on the issue:
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I'll finish reading this by Friday, thanks!
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I think the test failure is not related to this change, but the ongoing
work to upgrade pyarrow.
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checked the test case failure but I dont think its related to this PR.
```
org.apache.spark.sql.execution.datasources.parquet.ParquetQuerySuite.(It is
not a test it is a
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--- Diff: python/pyspark/sql/utils.py ---
@@ -110,3 +110,12 @@ def toJArray(gateway, jtype, arr):
for i in range(0, len(arr)):
jarr[i]
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cc @kiszk @cloud-fan
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2141,22 +2141,22 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
>>>
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--- Diff:
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@@ -56,7 +56,36 @@ import
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@@ -56,7 +56,36 @@ import
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@@ -102,8 +101,63 @@ object SparkHiveExample {
Github user zuotingbing commented on the issue:
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It seems each time when connect to thrift server through beeline, the
`SessionState.start(state)` will be called two times. one is in
`HiveSessionImpl:open` , another is in
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retest this please
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Jenkins, retest this please
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--- Diff: docs/building-spark.md ---
@@ -49,7 +49,7 @@ To create a Spark distribution like those distributed by
the
to be runnable, use
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2141,22 +2141,22 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
>>>
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--- Diff:
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@@ -136,10 +137,54 @@ object DecimalType extends AbstractDataType {
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Github user BryanCutler commented on the issue:
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I used a workaround for timestamp casts that allows the tests to pass for
me locally, and left a note to look into the root cause later. Hopefully this
should pass now and we will be good to
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@@ -2141,22 +2141,23 @@ def pandas_udf(f=None, returnType=None,
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>>>
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yea it's failing globally, I'm merging this PR, thanks!
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>>>
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--- Diff:
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---
@@ -243,17 +248,43 @@ object DecimalPrecision
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/20023#discussion_r158206693
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala ---
@@ -136,10 +137,54 @@ object DecimalType extends AbstractDataType {
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20035
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