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--- Diff: pom.xml ---
@@ -185,6 +185,10 @@
2.8
1.8
1.0.0
+
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1557,6 +1557,9 @@ def replace(self, to_replace, value=None,
subset=None):
For
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[SPARK-23268][SQL][followup] Reorganize packages in data source V2
## What changes were proposed in this pull request?
This is a followup of https://github.com/apache/spark/pull/20435.
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[SPARK-23336][BUILD] Upgrade snappy-java to 1.1.4
## What changes were proposed in this pull request?
This PR upgrade snappy-java to 1.1.4. release notes:
- Fix a 1% performance
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[SPARK-23334][SQL][PYTHON] Fix pandas_udf with return type StringType() to
handle str type properly in Python 2.
## What changes were proposed in this pull request?
In Python 2, when
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@@ -86,6 +86,9 @@ case class RowDataSourceScanExec(
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[SPARK-23335][SQL] Should not convert to double when there is an Integraâ¦
â¦l value in BinaryArithmetic which will loss precison
## What changes were proposed in this pull request?
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FYI, I am trying to make a minor release of cloudpickle to match with this
to deduplicate our efforts. We put many efforts to find and backport bug fixes
here. :-).
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--- Diff: python/pyspark/sql/functions.py ---
@@ -1705,10 +1705,12 @@ def unhex(col):
@ignore_unicode_prefix
@since(1.5)
def length(col):
Github user cloud-fan commented on the issue:
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By default `simpleString` is defined as `s"$nodeName $argString".trim`, if
we overwrite `nodeName` in some node, we should also overwrite `argString`,
otherwise we may have duplicated information
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thanks, merging to master/2.3!
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--- Diff: python/pyspark/sql/tests.py ---
@@ -2186,7 +2186,7 @@ def test_replace(self):
# replace with subset specified with one column
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cc @BryanCutler @icexelloss @HyukjinKwon
Could you help me double-check this?
Since seems like this happens only in Python 2 environment, Jenkins will
skip the tests.
And let me know if
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To me, yup.
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Github user gengliangwang commented on the issue:
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The proposal sounds good to me ð
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--- Diff: python/pyspark/sql/types.py ---
@@ -1694,6 +1694,21 @@ def from_arrow_schema(arrow_schema):
for field in arrow_schema])
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package
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for field in arrow_schema])
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Any idea when this will be merged into master? We could use this since we
are ditching sqoop ð
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Github user HyukjinKwon commented on the issue:
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Hmm .. why not addressing
https://github.com/apache/spark/pull/18555#discussion_r126293557? I think that
comment makes sense.
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Github user danielvdende commented on the issue:
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@Stephan202 thanks for pointing out those docs issues, just pushed the
changes :-).
@gatorsmile @dongjoon-hyun would you have a chance to take a look at this
again?
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@@ -327,6 +327,14 @@ object TypeCoercion {
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--- Diff: python/pyspark/sql/tests.py ---
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res =
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res =
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3920,6 +3920,14 @@ def test_vectorized_udf_null_string(self):
res = df.select(str_f(col('str')))
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3920,6 +3920,14 @@ def test_vectorized_udf_null_string(self):
res = df.select(str_f(col('str')))
Github user cloud-fan commented on the issue:
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For doing pushdown at logical or physical phase, I don't have a strong
preference. I think at logical phase we should try our best to push down
data-size-reduction operators(like filter,
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Github user DaimonPl commented on the issue:
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So if it's not going to be included in `2.3.0` maybe we could change
`spark.sql.nestedSchemaPruning.enabled` to default `true` ? I hope that this
time this PR could be finalized at the early stage
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Github user GaalDornick commented on the issue:
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Sorry for abandoning this. Micheal Armburst had indicated to me that this
should be really be a Spark package, and not part of Spark itself. So, it is
unlikely that this will get merged. I
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--- Diff: dev/deps/spark-deps-hadoop-2.6 ---
@@ -182,7 +182,7 @@ slf4j-api-1.7.16.jar
slf4j-log4j12-1.7.16.jar
snakeyaml-1.15.jar
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Retest this please.
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--- Diff: python/pyspark/serializers.py ---
@@ -230,6 +230,9 @@ def create_array(s, t):
s =
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[SPARK-23340][BUILD] Update ORC to 1.4.2
## What changes were proposed in this pull request?
This PR updates Apache ORC dependencies to 1.4.2 released on January 23rd.
Apache ORC
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Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/20387
> For safety, I wanna keep it unchanged, and start something new for data
source v2 only.
I disagree.
* **#20476 addresses a bug caused by the new implementation that is not a
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