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If it is going to get merged to `branch-2.3` the `since` tags need to be
`2.3.0` again
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private final ArrowVectorAccessor
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--- Diff: python/pyspark/sql/udf.py ---
@@ -213,6 +213,10 @@ def register(self, name, f, returnType=None):
`returnType` can be optionally
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2231,6 +2239,16 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
... return
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--- Diff: python/pyspark/sql/tests.py ---
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self.assertRaisesRegexp(AnalysisException, "Can
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--- Diff: python/pyspark/sql/functions.py ---
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>>> import random
>>>
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thanks, merging to master/2.3!
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@gatorsmile, I am sorry i don't know why I missed this comment ..
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Thank you for review, I will close this list. I'm going to use a script to
monitor the health of the Master process.
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I want to be clear, there are ways to support this which don't break on
executor restart which is why the hard block. Resilience is a first class
concept for Spark and we can't abandon it to
Github user holdenk commented on the issue:
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I think this is important functionality, however the current PR will break
in the event of executor restart and that isn't acceptable. I'm -1 on this
until that issue is fixed.
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--- Diff: python/pyspark/context.py ---
@@ -1023,6 +1032,35 @@ def getConf(self):
conf.setAll(self._conf.getAll())
return conf
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Merged to master and branch-2.3.
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[SPARK-23122][PYSPARK][FOLLOW-UP] Update the docs for UDF Registration
## What changes were proposed in this pull request?
This PR is to update the docs for UDF registration
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@@ -55,164 +43,82 @@ public void close() {
if
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I kind of agree with @CodingCat , I think we have plenty of third-party
monitoring tools to monitor the availability of Master process, it is not so
necessary to expose here in Master UI.
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--- Diff: dev/lint-python ---
@@ -35,11 +35,10 @@ compile_status="${PIPESTATUS[0]}"
# Get pep8 at runtime so that we don't rely on it being
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LGTM
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Ping @jiangxb1987 could you help review this?thanks too much!
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Merging to master/2.3, thanks for the fix!
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Will do it after 2.3 release
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--- Diff: docs/sql-programming-guide.md ---
@@ -580,6 +580,9 @@ default local Hive metastore (using Derby) for you.
Unlike the `createOrReplaceT
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Thank you for review and confirming, @viirya !
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[SPARK-20129][Core] JavaSparkContext should use SparkContext.getOrCreate
## What changes were proposed in this pull request?
Using SparkContext getOrCreate() instead of recreating new sc in
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Github user viirya commented on the issue:
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This is an old code comment we should remove it before. Thanks for fixing
it. LGTM
On Jan 22, 2018 11:20 AM, "Dongjoon Hyun" wrote:
> cc
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Github user rekhajoshm commented on a diff in the pull request:
https://github.com/apache/spark/pull/20338#discussion_r162838933
--- Diff: dev/tox.ini ---
@@ -13,7 +13,7 @@
# See the License for the specific language governing permissions and
# limitations under the
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/20346
Thank you for review and approval, @HyukjinKwon !
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