Github user rxin commented on the pull request:
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cc @cloud-fan
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Github user viirya commented on the pull request:
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yeah, looks like it is.
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Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10870#issuecomment-173796866
Thank you! @cloud-fan @rxin @viirya .
Then, should we change the current conf name? The current name sounds like
covering both writing and reading.
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Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala
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@@ -164,11 +164,42 @@ case class Join(
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Github user adrian-wang commented on the pull request:
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When the parser calls the constructor, how can we get the schema of tables?
We need schema to build project list and conditions.
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Github user holdenk commented on the pull request:
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cc @JoshRosen
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Github user gliptak commented on the pull request:
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@srowen This built locally.
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Github user ajbozarth commented on the pull request:
https://github.com/apache/spark/pull/10873#issuecomment-173785874
![screen shot 2016-01-21 at 4 06 59
pm](https://cloud.githubusercontent.com/assets/13952758/12501164/170fa6a8-c06f-11e5-969d-58cf253f9a4a.png)
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Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala
---
@@ -462,6 +462,32 @@ object HiveTypeCoercion {
Github user rxin commented on the pull request:
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Thanks - I've merged this in master.
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Github user holdenk commented on the pull request:
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code wise this looks fine, do we have before/after screen shots handy?
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Github user rxin commented on the pull request:
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I will add this to the review queue. But to be honest this API is super
hard to design and I am not sure if there is an easy solution. The priority is
also not very high
Github user sameeragarwal commented on the pull request:
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@hvanhovell added, thanks!
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Github user yanboliang commented on the pull request:
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@sun-rui Thanks for your comments. There is a ```cov``` implementation at
stats.R with different signature:
```R
setMethod("cov",
signature(x =
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[SPARK-12961][Core] Prevent snappy-java memory leak
JIRA: https://issues.apache.org/jira/browse/SPARK-12961
To prevent memory leak in snappy-java, just call the method once and cache
the
GitHub user Wenpei opened a pull request:
https://github.com/apache/spark/pull/10874
[SPARK-5865] [WIP] [API DOC] Add doc warnings for methods that return local
data structures
@rxin @srowen
I work out note message for rdd.take function, please help to review.
If it's
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Can one of the admins verify this patch?
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/sources/BucketedWriteSuite.scala
---
@@ -183,4 +186,25 @@ class BucketedWriteSuite extends
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
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@@ -104,6 +105,9 @@ trait CheckAnalysis {
Github user rxin commented on the pull request:
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Actually now i think about it - maybe we should just have a constructor for
Join that the parser calls, and the constructor just creates a normal join with
the right
Github user andygrove commented on a diff in the pull request:
https://github.com/apache/spark/pull/10865#discussion_r50498238
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
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@@ -406,7 +406,7 @@ object JavaTypeInference {
Github user gatorsmile commented on the pull request:
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@sameeragarwal I just saw it. Thank you! I will do the code changes after
this is merged.
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Github user sun-rui commented on the pull request:
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LGTM
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
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@@ -1463,4 +1463,24 @@ class SQLQuerySuite extends QueryTest
Github user felixcheung commented on the pull request:
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@srowen it's good - I agree asking the caller to retry stop() or even put
it in a loop is too far off. It might happen when someone is running from
spark-shell or
Github user rxin commented on the pull request:
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I think the bucketing config should only impact read path, not write path?
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Github user thomastechs commented on the pull request:
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This fix would be executed in similar consistent way it has been fixed in
SparkContext.stop() .I think this is fine.
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Github user davies commented on the pull request:
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LGTM, merging this into master, thanks!
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Github user gatorsmile commented on the pull request:
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Yeah, I am learning your PR. @cloud-fan I am thinking if we should have
two functions for `getBucketSpec`? Something like `getBucketReadingSpec` and
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--- Diff: core/src/main/scala/org/apache/spark/rpc/netty/Dispatcher.scala
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@@ -175,7 +175,7 @@ private[netty] class Dispatcher(nettyEnv: NettyRpcEnv)
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retest this please
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Github user gatorsmile commented on the pull request:
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Yeah, that is a good idea! Will make a try
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retest this please.
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Github user cloud-fan commented on the pull request:
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No, it will impact write path:
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala#L466
and
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LGTM
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Github user cloud-fan commented on the pull request:
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I think this config should not impact write path logically, how about we
use `maybeBucketSpec` instead of `getBucketSpec` in write path?
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Github user sun-rui commented on the pull request:
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@yanboliang, we can have different methods for a generic function. You can
try something like follows:
```
setGeneric("cov", function(x, ...)
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[SPARK-12962] [SQL] [PySpark] PySpark support covar_samp and covar_pop
PySpark support ```covar_samp``` and ```covar_pop```.
cc @rxin @davies @marmbrus
You can merge this pull request
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> Test build #49860 has finished for PR 10854 at commit 39f21de.
>
> This patch fails from timeout after a configured wait of `250m`.
> This patch merges
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10854#issuecomment-173825728
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10868#issuecomment-173677271
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https://github.com/apache/spark/pull/10868#issuecomment-173677523
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