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The root cause is Arrow conversion in Python side interprets binaries as
`str`, and I here avoided this by checking if the type is what we supported or
not.
This is the most trivial
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@@ -33,6 +33,19 @@ import org.apache.spark.util.Utils
Github user cloud-fan commented on the issue:
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The binary type bug sounds like a blocker, can we just fix it surgically by
checking the supported data types before going to the arrow optimization path?
For now we can stick with that the
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thanks, merging to master!
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--- Diff: docs/sql-programming-guide.md ---
@@ -1004,6 +1004,29 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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^ this change LGTM. Can we make a PR for this change only and leave the
fallback part for Spark 2.4?
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> The binary type bug sounds like a blocker, can we just fix it surgically
by checking the supported data types before going to the arrow optimization
path? For now we can stick with that the
GitHub user misutoth opened a pull request:
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[SPARK-23329][SQL] Fix documentation of trigonometric functions
## What changes were proposed in this pull request?
Provide more details in trigonometric function documentations.
GitHub user dongjoon-hyun opened a pull request:
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[MINOR][SQL] Fix an error message about inserting into bucketed tables
## What changes were proposed in this pull request?
This replaces `Sparkcurrently` to `Spark currently` in the
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Retest this please.
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala ---
@@ -963,33 +965,60 @@ private[ui] class TaskPagedTable(
private object
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Sure.
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thanks, merging to master!
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This looks the same as SPARK-23413 / #20601
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thanks, merging to master/2.3! Since it's a bug fix so I included it in
branch 2.3, please let me know if you have other concerns, cc @sameeragarwal
@marmbrus
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GitHub user juliuszsompolski opened a pull request:
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[SPARK-23445] ColumnStat refactoring
## What changes were proposed in this pull request?
Refactor ColumnStat to be more flexible.
* Split `ColumnStat` and
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cc @gatorsmile @cloud-fan @marmbrus
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Jenkins, retest this please.
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@rekhajoshm feel free to follow up after we are through with 2.3.0, thanks!
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--- Diff:
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@@ -160,6 +160,15 @@ abstract class OrcSuite
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Retest this please
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1941,12 +1941,24 @@ def toPandas(self):
timezone = None
if
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Don't worry, I am keeping my eyes on this and I believe @ueshin too.
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@HyukjinKwon Will you submit a fix for the binary type today? We are very
close to RC4. This is kind of urgent if we still want to block it in the Spark
2.3.0 release.
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GitHub user HyukjinKwon opened a pull request:
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[SPARK-23446][PYTHON] Explicitly check supported types in toPandas
## What changes were proposed in this pull request?
This PR explicitly specifies the types we supported in
Github user kiszk commented on the issue:
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It looks good to me that we move the registrations to the new (earlier)
places.
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Yup, I will. Sorry for delaying it. I was trying to make the fix small as
possible as I can. Let me just open it as a simplest way.
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I just opened https://github.com/apache/spark/pull/20625. I believe this is
the smallest and simplest change ..
Will turn this PR to add a configuration later.
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GitHub user rednaxelafx opened a pull request:
https://github.com/apache/spark/pull/20626
[SPARK-23447][SQL] Cleanup codegen template for Literal
## What changes were proposed in this pull request?
Cleaned up the codegen templates for `Literal`s, to make sure that the
Github user kiszk commented on the issue:
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@mrkm4ntr Do not worry about these failures. Since we know there are some
unstable tests, our community is trying to fix them. For a while, we have to
kick test.
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Sorry, I'm a bit occupied with testing 2.3 RC, will get back to this after.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1313,131 +1313,178 @@ object functions {
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@@ -196,7 +208,13 @@ case class Asin(child:
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Jenkins, retest this please.
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Even though we only run normal Spark jobs this PR is going to fix a case
for us as well.
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