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---
@@ -41,6 +41,8 @@ object HdfsTest {
val end =
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -646,8 +646,9 @@ private[spark] class SparkSubmit extends Logging {
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--- Diff: docs/running-on-kubernetes.md ---
@@ -820,4 +820,37 @@ specific to Spark on Kubernetes.
This sets the major Python version of the docker
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This sets the major Python version of the docker
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This sets the major Python version of the docker
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--- Diff: docs/security.md ---
@@ -722,7 +722,85 @@ with encryption, at least.
The Kerberos login will be periodically renewed using the provided
Github user HyukjinKwon commented on the issue:
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Let me open a JIRA after taking some more further looks. I checked some
code places and looks it's not easy to support `None` for instance.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -1149,6 +1149,75 @@ def test_infer_schema(self):
result = self.spark.sql("SELECT l[0].a from
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@@ -192,7 +211,15 @@ private[spark] object Logging {
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Github user shaneknapp commented on the issue:
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@srowen sure, manually removing the failing jobs is one option... but
since we auto-generate the job configs, any time we add a new branch they'll
come back.
i'd much rather do this
Github user vanzin commented on the issue:
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> an unset var is just an empty string anyway.
The issue is that if you call that function multiple times the variables
might be set by a previous call.
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Github user shaneknapp commented on the issue:
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consider me pinged. ;)
i will need to do some refactoring in the jenkins job builder configs for
this, so we'll definitely need to coordinate before this is merged.
most likely
Github user srowen commented on the issue:
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I guess we've just pinged @shaneknapp ! But I figured the jobs would simply
fail and could be removed at leisure.
Yes, this mechanism is a little weird but may be the simplest thing here. I
Github user zsxwing commented on a diff in the pull request:
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private static final
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@@ -192,7 +211,15 @@ private[spark] object Logging {
Github user zsxwing commented on the issue:
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Is it supposed to the flaky ChunkFetchIntegrationSuite?
http://spark-tests.appspot.com/test-details?suite_name=org.apache.spark.network.ChunkFetchIntegrationSuite_name=fetchFileChunk
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@@ -191,9 +191,17 @@ if [[ "$1" == "package" ]]; then
make_binary_release() {
NAME=$1
Github user MaxGekk commented on the issue:
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@HyukjinKwon Could you look at the PR, please.
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@zsxwing Please, have a look at the PR one more time.
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@gatorsmile Please, take a look at this.
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mainObject:
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@@ -63,7 +65,7 @@ private[spark] object PythonEvalType {
*/
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--- Diff: python/pyspark/worker.py ---
@@ -154,6 +154,47 @@ def wrapped(*series):
return lambda *a: (wrapped(*a), arrow_return_type)
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@@ -154,6 +154,47 @@ def wrapped(*series):
return lambda *a: (wrapped(*a), arrow_return_type)
Github user fsauer65 commented on the issue:
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@gatorsmile did you get a chance to think about this?
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@volatile
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Github user gatorsmile commented on the issue:
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How about pandas UDF? How about using RDD APIs? Do we face the same issues?
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@gatorsmile, @tejasapatil was reviewing the code before I added the new
config option. I have asked him to review the new code. Lets see what his
thoughts are on that. I have also asked him
Github user icexelloss commented on the issue:
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@BryanCutler Yes that was a typo :) Thanks!
I am also +1 to support numpy data structure in addition to Pandas. So
happy to discuss here or separately.
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Github user BryanCutler commented on the issue:
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I think there is a typo in your example in the description
```
@pandas_udf('double', PandasUDFType.GROUPED_AGG)
def avg(v):
return v.mean()
return avg
```
I think
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> a better and safer solution by introducing exponential backoff with
retries
I'm confused about that suggestion. What is being retried? The user query?
The HMS call? What is changing in
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LGTM
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+/*
+ * Licensed to the Apache
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--- Diff: docs/running-on-kubernetes.md ---
@@ -185,6 +185,22 @@ To use a secret through an environment variable use
the following options to the
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Github user gatorsmile commented on the issue:
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Also, https://github.com/apache/spark/pull/22614#discussion_r223172392
proposes a better and safer solution by introducing `exponential backoff with
retries`. @kmanamcheri Could you update your
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--- Diff: docs/running-on-kubernetes.md ---
@@ -799,4 +815,168 @@ specific to Spark on Kubernetes.
This sets the major Python version of the
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -1989,22 +2026,214 @@ head(sql("select * from aggregates"))
-#
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-#
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-#
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-#
Github user gatorsmile commented on the issue:
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As @tejasapatil suggested above, this fallback is not suggested to be on in
a prod setting. It could also impact the system health (e.g., the other
concurrent queries that are querying the same
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Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22029#discussion_r223488428
--- Diff:
sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/not-in-unit-tests-multi-column-literal.sql
---
@@ -14,8 +14,25 @@ CREATE
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/22029
@mgaido91 . The failure is relevant to this PR. Could you take a look?
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Github user tgravescs commented on the issue:
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test this please
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