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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
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--- Diff:
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+/*
+ * Licensed to the
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[SPARK-18251][SQL] the type of Dataset can't be Option of non-flat type
## What changes were proposed in this pull request?
For input object of non-flat type, we can't encode it to row
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The failed unit test seems not related to our change here.
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@hvanhovell Thanks for that catch! I'll fix that too.
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Github user HyukjinKwon commented on the issue:
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Thank you!!!
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Can one of the admins verify this patch?
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--- Diff:
streaming/src/test/java/org/apache/spark/streaming/JavaAPISuite.java ---
@@ -1244,7 +1244,15 @@ public void testCountByValue() {
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Github user ScrapCodes commented on the issue:
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You are right @marmbrus , I am sorry for not actually doing the proper
comparison.
Only after seeing the code I realized, we use `consumer.poll(0)` not for
pulling records but to
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No, doing it in stages over years doesn't change the drawback, and just
makes this more confusing. I agree with fixing this where performance may
matter, or, fixing these issues when code is being
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HDFS folks internally indicated this is likely the right change. Let's
leave it for a bit before committing.
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Github user cloud-fan commented on the issue:
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shall we update the document of `DataSource.partitionColumns`? `When this
ist is empty, the relation is unpartitioned.` this is wrong now, the relation
can be partitioned even if
Github user shiv4nsh closed the pull request at:
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@zsxwing should the title include SPARK-18529 per your comment on the JIRA?
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@shiv4nsh you will have to close this PR
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
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@@ -306,12 +307,18 @@ class KMeans @Since("1.5.0") (
Github user hvanhovell commented on the issue:
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Could you also fix (the actual problem):
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala#L123
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cc @yhuai @mallman @ericl
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[SPARK-18507][SQL] HiveExternalCatalog.listPartitions should only call
getTable once
## What changes were proposed in this pull request?
HiveExternalCatalog.listPartitions should only
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--- Diff:
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@@ -42,15 +42,51 @@ trait ExpressionEvalHelper
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@@ -137,7 +137,8 @@ private[sql] case class
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--- Diff:
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@@ -159,7 +159,11 @@ class DataFrameReader private[sql](sparkSession:
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cc @hvanhovell @gatorsmile
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cc @hvanhovell @rxin @srowen @gatorsmile @windpiger
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[SPARK-18436][SQL] isin causing SQL syntax error with JDBC
## What changes were proposed in this pull request?
`in(empty seq)` is invalid in some data source. Since `in(empty seq)` is
Github user ZakariaHili commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
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@@ -306,12 +307,19 @@ class KMeans @Since("1.5.0") (
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
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@@ -321,12 +329,15 @@ class KMeans @Since("1.5.0") (
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https://github.com/apache/spark/pull/13909#discussion_r89082742
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -42,15 +42,51 @@ trait ExpressionEvalHelper
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15968#discussion_r89082612
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -71,11 +71,7 @@ statement
| createTableHeader ('('
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