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/**
* An immutable string-to-string
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--- Diff:
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@@ -171,7 +171,8 @@ class DataFrameReader private[sql](sparkSession:
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Revert "[SPARK-22279][SQL] Turn on spark.sql.hive.convertMetastoreOrc by
default
## What changes were proposed in this pull request?
This is to revert the changes made in
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--- Diff: docs/sql-programming-guide.md ---
@@ -1776,6 +1776,44 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
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@@ -149,18 +149,12 @@ case class MemoryStream[A :
Github user gatorsmile commented on the issue:
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After a discussion with @marmbrus @rxin @yhuai , we decided to revert this
for avoiding any regression and blocking the release of Spark 2.3.
cc @sameeragarwal @dongjoon-hyun @cloud-fan
Github user gatorsmile commented on the issue:
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Just FYI, https://github.com/apache/spark/pull/20536 is reverting the conf
`convertMetastoreOrc` back `false`. However, we still can turn it on by default
in 2.3 after we fix the regression.
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I'd fix this in 2.3, and 2.2.1 as well.
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Github user BryanCutler commented on the issue:
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@HyukjinKwon would it be good to update this PR to match the upcoming 4.3
release you are working on? If the code is the same, then just updating the
title/description so it is clear
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Retest this please
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Github user hvanhovell commented on the issue:
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@wujianping10043419 this change is too trivial to merge, I am sorry. The
main reason for not merging is because this will mess up the git blame for the
given code, which is sometimes very useful
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LGTM pending passing run of that HiveDDLSuite test
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retest this please
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Sure, I will do it.
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@liufengdb Can you verify this one?
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I'm going to backport this to 2.2 since it's a correctness bug.
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I see. I removed `spark.sql.hive.convertMetastoreOrc` and Hive ORC table
stuff from this PR accordingly. We can add that later if we fix the regresson
of `convertMetastoreOrc/Parquet`.
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Github user gatorsmile commented on the issue:
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LGTM Thanks! Merged to master/2.3
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Oh, I thought in this way, @tgravescs .
- For ORC files, the parameter names (ORC/Hive) are the same as we see
https://github.com/apache/spark/pull/20517 .
- For Hive tables, we don't
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--- Diff:
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@@ -190,9 +190,13 @@ object FileFormatWriter
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@@ -1001,11 +996,18 @@ private[spark] object RandomForest extends
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@@ -931,7 +925,8 @@ private[spark] object RandomForest extends Logging {
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--- Diff: python/pyspark/sql/types.py ---
@@ -1730,7 +1730,28 @@ def _check_series_convert_timestamps_internal(s,
timezone):
# TODO: handle
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Merged to branch-2.3.
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[SPARK-23319][TESTS][FOLLOWUP] Fix a test for Python 3 without pandas.
## What changes were proposed in this pull request?
This is a followup pr of #20487.
When importing module
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@HyukjinKwon You can include the fix #20538 or backport it after this is
merged. It's up to you.
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--- Diff:
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@@ -20,6 +20,7 @@
import javax.annotation.Nullable;
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Yea, will deal with it. Thanks for the reminder!
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--- Diff:
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@@ -745,4 +763,27 @@ private[spark] class CosineDistanceMeasure
Github user heary-cao commented on the issue:
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@srowen,
if you don't set the spark.testing for true, the default value for
spark.port.maxRetries is not 100, but 16,
so in verifyServicePort function,
actualPort should be <=
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Yup, now the codes of branch "0.4.x" in cloudpickle is the same with the
current PR. Was thinking of letting you know after 0.4.3. Please give me few
days ... :-).
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Sounds good! No rush, I'll keep an eye out for the release
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--- Diff: python/pyspark/sql/types.py ---
@@ -1730,7 +1730,28 @@ def _check_series_convert_timestamps_internal(s,
timezone):
# TODO: handle
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LGTM.
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https://github.com/apache/spark/pull/20537
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Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/20537
cc @felixcheung @BryanCutler @ueshin @HyukjinKwon
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Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/20537
This is pretty important bug fix that we should try to get in Spark
2.3...Thanks @felixcheung for reporting this!
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