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--- Diff: docs/configuration.md ---
@@ -1664,6 +1664,14 @@ Apart from these, the following properties are also
available, and may be useful
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I changed input column format. Please check again.
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Github user a-roberts commented on the issue:
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The benchmark used is HiBench 5 which works with Spark 1.6, I expect there
will be HiBench 6 officially available soon with [Spark 2
support](https://github.com/intel-hadoop/HiBench/pull/337)
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[SPARK-18250] [SQL] Minor fixes to UTF8String
## What changes were proposed in this pull request?
A few minor changes to utf8 string which were observed in the code.
## How was
Github user HyukjinKwon commented on the issue:
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cc @marmbrus, could you please take a look? This is the one schema
verification we talked when adding `to_json` .
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--- Diff:
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@@ -143,6 +143,15 @@ class CSVFileFormat
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@@ -487,6 +487,21 @@ case class
GitHub user HyukjinKwon opened a pull request:
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[SPARK-18246][SQL] Throws an exception before execution for unsupported
types in Json, CSV and text functionailities
## What changes were proposed in this pull request?
This PR
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Github user mridulm commented on the issue:
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Looks good to me, some minor queries and comments.
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/UIData.scala ---
@@ -197,8 +196,32 @@ private[spark] object UIData {
shuffleWriteMetrics:
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/UIData.scala ---
@@ -197,8 +196,32 @@ private[spark] object UIData {
shuffleWriteMetrics:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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// To avoid UI cruft,
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@yanboliang @jkbradley Could you please make a review?
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@@ -885,8 +885,8 @@ private[spark] object JsonProtocol {
if (json ==
Github user vijoshi commented on the issue:
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@ajbozarth @srowen - for your review if possible.
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Github user 1236897 commented on the issue:
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actually, I face the issue that "RpcEnv already stopped" when i call
sparkContxt.stop in the end of the program. I add the spark1.6 through maven
pom. could i know how to fix this issue ?
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+1 on UseStringDeduplication ! Though jdk8 specific
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I plan to push my work tonight.
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Merging in master/branch-2.1.
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Merging in master/branch-2.1.
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Jenkins, retest this please
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Github user rxin commented on the issue:
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LGTM pending Jenkins.
But note that we might remove the idea of staging directory for writes
completely in the future, when we do
https://issues.apache.org/jira/browse/SPARK-15691
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Github user MLnick commented on a diff in the pull request:
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--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala ---
@@ -1076,4 +1240,15 @@ object Matrices {
Github user srowen commented on the issue:
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Aside: if this and other processes see a lot of memory used by duplicate
strings then maybe we should recommend trying -XX+UseStringDeduplication for a
related and automatic win.
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Github user rxin commented on the issue:
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@gatorsmile can we take this to the finish line? This actually does not
impact hash at all since it's only here for testing.
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Github user rxin commented on the issue:
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I took a look at this again tonight, in the context of consolidating this
with Hive. I think doing it through callback is actually not ideal, as
callbacks are harder to trace. In 2.2 we should make
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@@ -30,11 +30,7 @@ import
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cc @cloud-fan, @ericl, and @mallman
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GitHub user rxin opened a pull request:
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[SPARK-18244][SQL] Rename partitionProviderIsHive ->
tracksPartitionsInCatalog
## What changes were proposed in this pull request?
This patch renames partitionProviderIsHive to
Github user cjjnjust commented on the issue:
https://github.com/apache/spark/pull/15172
The configuration part is now ready.
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Github user viirya commented on a diff in the pull request:
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Github user viirya commented on the issue:
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@frreiss Thanks for explanation!
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Github user viirya commented on the issue:
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Making sense. I think we can collect all matched partitions for all given
specs. And do if exists check during the collecting. And then drop the distinct
partitions.
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Github user gatorsmile commented on the issue:
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When the partition specs have `equal to` only, our implementation first
checks all before starting the actual drop. See the
Github user viirya commented on the issue:
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No. The first spec will drop the partition and the second spec will be
failed.
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Github user gatorsmile commented on the issue:
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Let us think this more carefully. In the following case, in which the
partition specs have the overlapping range
```Scala
sql("ALTER TABLE sales DROP PARTITION (quarter <= 3), PARTITION
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15704#discussion_r86296370
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
---
@@ -204,6 +207,40 @@ class AstBuilder extends
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15704#discussion_r86296115
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
@@ -418,27 +419,56 @@ case class AlterTableRenamePartitionCommand(
Github user mridulm commented on a diff in the pull request:
https://github.com/apache/spark/pull/15741#discussion_r86296072
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala ---
@@ -271,8 +271,12 @@ class OpenHashSet[@specialized(Long, Int) T:
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