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--- Diff:
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@@ -483,6 +484,64 @@ object OrcReadBenchmark {
}
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@@ -483,6 +484,64 @@ object OrcReadBenchmark {
}
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}
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Retest this please.
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--- Diff:
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@@ -93,41 +97,76 @@ object DecimalPrecision
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@@ -136,10 +137,52 @@ object DecimalType extends AbstractDataType {
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala ---
@@ -89,7 +89,7 @@ class UDFSuite extends QueryTest with SharedSQLContext {
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--- Diff:
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@@ -419,7 +419,7 @@ package object config {
private[spark] val
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--- Diff: docs/configuration.md ---
@@ -150,6 +152,7 @@ of the most common options to set are:
Amount of memory to use for the driver
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--- Diff: docs/configuration.md ---
@@ -58,6 +58,8 @@ The following format is accepted:
1t or 1tb (tebibytes = 1024 gibibytes)
1p or 1pb
Github user bdrillard commented on the issue:
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Is there a consensus on the preferred behavior here? This issue would also
be a blocker to encoders for Spark-Avro in Spark 2.3.0 that @marmbrus mentions
in #20085.
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@@ -1237,47 +1342,91 @@ case class
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--- Diff: python/pyspark/sql/catalog.py ---
@@ -256,27 +258,58 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
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--- Diff: python/pyspark/sql/context.py ---
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returnType=StringType()):
>>>
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--- Diff: python/pyspark/sql/context.py ---
@@ -204,15 +206,31 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
Github user ajbozarth commented on the issue:
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Thanks for updating the first one, but I stand by the second. The UI should
be consistent and in the previous use of this feature it persisted so it should
here, even if it's not necessary every
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@@ -2773,4 +2773,22 @@ class SQLQuerySuite extends QueryTest with
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[SPARK-23078] [CORE] allow Spark Thrift Server to run in Kubernetes Cluster
mode
## What changes were proposed in this pull request?
allow Spark Thrift Server to run in Kubernetes Cluster
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retest this please
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Thanks @MLnick, I will be glad if you can continue it.
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Because I don't have the environment to continue this work, I will close
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Because I don't have the environment to continue this work, I will close
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Because I don't have the environment to continue this work, I will close
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Because I don't have the environment to continue this work, I will close
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Because I don't have the environment to continue this work, I will close
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[SPARK-23080][SQL] Improve error message for built-in functions
## What changes were proposed in this pull request?
When a user puts the wrong number of parameters in a function, an
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I think that a lazy buffer allocation can not thoroughly solve this problem
because UnsafeSorterSpillReader has BufferedFileInputStream witch will allocate
off heap memory.
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@@ -483,6 +484,64 @@ object OrcReadBenchmark {
}
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}
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[SPARK-23079] Fix query constraints propagation with aliases
## What changes were proposed in this pull request?
Previously, PR #19201 fix the problem of non-converging constraints.
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ok to test
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sorry @gatorsmile, but I can't follow you. Why do you say it is different
from the doc? I can't see any difference, sorry. May you explain me please?
Thanks.
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Github user mpjlu commented on the issue:
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This is another case.
Table 1 shows the improvement of random tree algorithm with sparse
expression. We can see that when we use sparse expression, I/O can be reduced
by 61% and total run time
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2773,4 +2773,22 @@ class SQLQuerySuite extends QueryTest with
Github user gatorsmile commented on the issue:
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@mgaido91 At least it is different from the doc
https://docs.microsoft.com/en-us/sql/t-sql/data-types/precision-scale-and-length-transact-sql
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Github user rvesse commented on the issue:
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@vanzin @ArtRand Thanks for the initial reviews, I have refactored the
patch based on comments so should hopefully be in a better state now. I was
able to also add some unit test coverage for this
Github user mpjlu commented on the issue:
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![image](https://user-images.githubusercontent.com/13826327/34948104-2fa1982a-fa47-11e7-9312-f1935cca758b.png)
This is one of my test results.
Now, I am not working on Spark MLLIB, and don't
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Thanks! Merged to master/2.3
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@@ -170,21 +170,24 @@ final class OneVsRestModel private[ml] (
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Thanks! Merged to master/2.3
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--- Diff: python/pyspark/sql/catalog.py ---
@@ -256,27 +258,58 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
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--- Diff: python/pyspark/sql/context.py ---
@@ -204,15 +206,31 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
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--- Diff: python/pyspark/sql/context.py ---
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>>>
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[SPARK-23029] [DOCS] Specifying default units of configuration entries
## What changes were proposed in this pull request?
This PR completes the docs, specifying the default units assumed in
Github user MLnick commented on the issue:
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@mpjlu could you post the actual results of test runs (timing numbers and
shuffle data)?
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@mpjlu could you post the actual results of test runs (timing numbers and
shuffle data)?
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
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https://github.com/apache/spark/pull/19872#discussion_r161496487
--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19872#discussion_r161498689
--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19872#discussion_r161505033
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/PythonUDF.scala
---
@@ -15,12 +15,31 @@
* limitations under the
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