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--- Diff:
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---
@@ -51,10 +51,12 @@ case class
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/19295
Sorry, we do not expect users to add rules before our internal optimizer
rules finish, as I explained above. To avoid the potential issues, I suggest to
close it.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3308,12 +3306,12 @@ def test_vectorized_udf_invalid_length(self):
from pyspark.sql.functions
Github user shaneknapp commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2183,29 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function
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[SPARK-22120][SQL] TestHiveSparkSession.reset() should clean out Hive
warehouse directory
## What changes were proposed in this pull request?
During TestHiveSparkSession.reset(), which is
Github user brad-kaiser commented on a diff in the pull request:
https://github.com/apache/spark/pull/19041#discussion_r140841617
--- Diff: core/src/main/scala/org/apache/spark/RecoverCacheShutdown.scala
---
@@ -0,0 +1,234 @@
+/*
+ * Licensed to the Apache Software
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--- Diff:
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---
@@ -51,10 +51,12 @@ case class
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3344,6 +3342,22 @@ def test_vectorized_udf_wrong_return_type(self):
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--- Diff: python/pyspark/worker.py ---
@@ -80,14 +77,12 @@ def wrap_pandas_udf(f, return_type):
arrow_return_type = toArrowType(return_type)
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2183,29 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2183,29 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python
Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -546,10 +574,88 @@ object KMeans {
.run(data)
}
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -260,7 +269,8 @@ class KMeans @Since("1.5.0") (
maxIter -> 20,
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--- Diff:
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@@ -546,10 +574,88 @@ object KMeans {
.run(data)
}
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--- Diff:
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@@ -546,10 +574,88 @@ object KMeans {
.run(data)
}
Github user gatorsmile commented on the issue:
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Thanks! Merged to master.
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -40,20 +40,29 @@ import org.apache.spark.util.random.XORShiftRandom
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -71,6 +71,15 @@ private[clustering] trait KMeansParams extends Params
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/serializers.py ---
@@ -246,15 +243,9 @@ def cast_series(s, t):
def loads(self, obj):
"""
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2183,29 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python
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retest this please
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--- Diff:
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@@ -742,53 +703,150 @@ private[history] object FsHistoryProvider {
Github user sethah commented on the issue:
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@yanboliang Yeah, I saw the discussion and it seems to me the reason was:
there would be too much code duplication. Sure, it's true that there would be
code duplication, but to me that's a reason to
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--- Diff:
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@@ -720,75 +634,218 @@ private[history] class
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--- Diff:
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---
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@@ -422,208 +457,101 @@ private[history] class
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[SPARK-22119] Add cosine distance to KMeans
## What changes were proposed in this pull request?
Currently, KMeans assumes the only possible distance measure to be used is
the Euclidean.
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@@ -422,208 +457,101 @@ private[history] class
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--- Diff:
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@@ -624,7 +639,9 @@ class FsHistoryProviderSuite extends
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--- Diff:
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@@ -0,0 +1,86 @@
+/*
+ * Licensed to the Apache Software
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LGTM
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--- Diff:
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@@ -456,6 +456,40 @@ class DataFrameReader
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--- Diff:
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@@ -94,7 +96,9 @@ private[scheduler] class TaskSetBlacklist(val conf:
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--- Diff:
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@@ -838,7 +840,7 @@ private[spark] class TaskSetManager(
if
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@caneGuy thanks for working on this, looks very reasonable to me, I am
going to take a closer look at a couple of details. But can you make a couple
of updates in the meantime:
1) Can you
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@holdenk Could you let me know where we meet similar issue in the
fulltests? AFAIK, we test functions in ```e1071``` only when it was installed
on that node, like following:
```
if
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Jenkins, test this please.
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--- Diff:
core/src/test/scala/org/apache/spark/storage/MemoryStoreSuite.scala ---
@@ -407,4 +407,119 @@ class MemoryStoreSuite
})
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--- Diff:
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@@ -407,4 +407,119 @@ class MemoryStoreSuite
})
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@@ -407,4 +407,119 @@ class MemoryStoreSuite
})
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--- Diff: docs/sql-programming-guide.md ---
@@ -1460,6 +1460,13 @@ that these options will be deprecated in future
release as more optimizations ar
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--- Diff:
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---
@@ -115,21 +115,46 @@ object TypeCoercion {
*
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2677,4 +2677,142 @@ class SQLQuerySuite extends QueryTest with
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2677,4 +2677,142 @@ class SQLQuerySuite extends QueryTest with
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ping @cloud-fan & @michal-databricks
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskInfo.scala ---
@@ -93,6 +104,8 @@ class TaskInfo(
def running: Boolean =
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--- Diff:
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@@ -456,6 +456,40 @@ class DataFrameReader private[sql](sparkSession:
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+/*
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@jerryshao
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@@ -93,6 +104,8 @@ class TaskInfo(
def running: Boolean =
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskInfo.scala ---
@@ -66,6 +66,13 @@ class TaskInfo(
*/
var finishTime: Long = 0
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@HyukjinKwon @viirya Could you review this PR? Thanks! :)
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[SPARK-22112][PYSPARK] Add an API to create a DataFrame from RDD[String]
storing CSV
## What changes were proposed in this pull request?
We added a method to the scala API for creating a
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--- Diff: docs/sql-programming-guide.md ---
@@ -1553,6 +1553,7 @@ options.
## Upgrading From Spark SQL 2.2 to 2.3
- Since Spark 2.3, the
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@squito Could you help review this?
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[SPARK-21539][CORE] Add latest failure reason for task set blacklist
## What changes were proposed in this pull request?
This patch add latest failure reason for task set blacklist.Which can be
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@@ -1287,3 +1288,33 @@ object
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