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retest this, please
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Two tests failed and not relevant to this patch.
* org.apache.spark.scheduler.DAGSchedulerSuite.Barrier task failures from
the same stage attempt don't trigger multiple stage retries
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,33 @@
+/*
+ * Licensed to the Apache
GitHub user HyukjinKwon opened a pull request:
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[SPARK-24748][SS][FOLLOWUP] Switch custom metrics to Unstable APIs
## What changes were proposed in this pull request?
This PR proposes to switch the api stability from `Evolving` to
Github user jerryshao commented on a diff in the pull request:
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@@ -1144,6 +1144,46 @@ class SparkSubmitSuite
Github user arunmahadevan commented on the issue:
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@HyukjinKwon yes we can mark it unstable. Like I mentioned multiple times
in previous comments the traits added here like CustomMetrics,
SupportsCustomReaderMetrics etc have nothing specific
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Github user sadhen commented on the issue:
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scala/bug#11123 had been added into
https://github.com/scala/bug/milestone/93 .
I will spare some time working on it.
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BTW, @gatorsmile and @cloud-fan, do you know who did this ^ and why?
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--- Diff: core/src/main/scala/org/apache/spark/BarrierTaskContext.scala ---
@@ -145,20 +143,77 @@ class BarrierTaskContext(
/**
* ::
Github user gerashegalov commented on the issue:
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thanks for the comment @steveloughran. I'll add more tests for now and see
how the discussion goes from there.
as for transition to UTF it means to be fully correct Spark needs to
Github user sadhen commented on the issue:
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```
Welcome to
__
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.4.0-SNAPSHOT
/_/
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Github user maropu commented on the issue:
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+1 for adding `scalastyle:off nonascii` in that part.
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style errors, we cannot include non-ascii characters in files;
```
Scalastyle checks failed at following occurrences:
[error]
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Have a look at the test results, which show the style problem it flags:
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For future, let us keep a connection with #22233 that is the original one
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Github user HyukjinKwon commented on the issue:
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Can we remove and replace this to another one when we are clear on how to
deal with continuous mode?
I merged this after having sufficient talks with @HeartSaVioR. The JIRA
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--- Diff:
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+/*
+ * Licensed to the Apache
Github user maropu commented on a diff in the pull request:
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--- Diff:
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@@ -81,7 +81,7 @@ abstract class
Github user viirya commented on a diff in the pull request:
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Github user yucai commented on the issue:
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@cloud-fan, tests have passed. And I will use a followup PR to make it
cleaner.
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retest this please
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> Yeah but for people who don't know these tests or how the _have_xxx flags
work, having an additional positive confirmation that the Arrow tests are run
is nice. We already are doing this for
Github user HyukjinKwon commented on the issue:
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I am sorry guys. I rushed to take a look.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4090,6 +4090,25 @@ def __init__(self, **kwargs):
_make_type_verifier(data_type,
Github user xuejianbest commented on the issue:
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Please help me @srowen
I don't know where I need to make changes.
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@rdblue, Thanks, I will take a look and see if we can keep the current
approach for the write side too.
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Why did it fail?
What else should I do?
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> I think one possible design is to not support USING in data source v2,
and always ask data sources to provide a catalog.
I thought we almost all agreed with supporting USING syntax.
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ok to test
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[SPARK-25255][PYTHON]Add getActiveSession to SparkSession in PySpark
## What changes were proposed in this pull request?
add getActiveSession in session.py
## How was this
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Github user arunmahadevan commented on the issue:
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There are many unknowns to be figured out for continuous mode. Though the
way to capture the metrics would be different for continuous execution, the
interface of whats reported is not
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala ---
@@ -290,6 +290,16 @@ object QueryTest {
Row.fromSeq(row.toSeq.map {
Github user maropu commented on the issue:
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You need to handle that in both codegen(doGenCode) and
interpreter(nullSafeEval) path. Also, can you add tests to check if they have
the same behaviour in the limit=0/limit=-1 cases? You'd be better
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Github user HeartSaVioR commented on the issue:
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Unfortunate thing is that continuous mode allows different epochs between
partitions, hence query progress just doesn't fit so hard to address
SPARK-23887 for now. My 2 cents is continuous mode
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@zsxwing @gatorsmile @cloud-fan
As you all know, IMHO, the thing is that continuous mode doesn't support
StreamingQueryProgress for now. We allowed these incomplete state because
Github user zsxwing commented on the issue:
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@arunmahadevan yeah, it's better to figure out the solution for continuous
mode as well. As you mentioned, the current SQL metrics are not updated unless
the task completes, so we may need to add
Github user arunmahadevan commented on the issue:
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The CustomMetrics are traits which can be mixed in if necessary. (see
https://github.com/apache/spark/pull/21721#issuecomment-403878383) and does not
affect any other API as such. When query
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