Github user MLnick commented on the issue:
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@yanboliang will you be reviving this PR?
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/14749
[SPARK-17182][SQL] Mark Collect as non-deterministic
## What changes were proposed in this pull request?
This PR marks the abstract class `Collect` as non-deterministic since the
results
Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/9183
@MLnick I think this is an important feature to make ML pipeline handle
large datasets elegantly. I will update/send a new PR soon and looking forward
that you can help to review. Thanks!
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Github user GraceH commented on the issue:
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Thanks @srowen
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Github user GraceH commented on the issue:
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@sprite331. According to my understanding, this patch tries to catch
certain exceptions when the user introducing dynamic allocation. One quick
solution is to disable dynamic allocation if possible, w
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14537
why do we infer schema for tables? Table schema should be persisted to
metastore when it was created.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14531#discussion_r75660683
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala ---
@@ -75,18 +81,52 @@ case class CreateTableLikeCommand(
Github user mpjlu commented on a diff in the pull request:
https://github.com/apache/spark/pull/14597#discussion_r75661562
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala ---
@@ -189,11 +227,20 @@ class ChiSqSelector @Since("1.3.0") (
*/
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14735#discussion_r75661714
--- Diff: R/pkg/R/mllib.R ---
@@ -1027,7 +1009,7 @@ setMethod("spark.gaussianMixture", signature(data =
"SparkDataFrame", formula =
#' @export
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14735#discussion_r75661739
--- Diff: R/pkg/R/mllib.R ---
@@ -499,11 +505,11 @@ setMethod("predict", signature(object =
"IsotonicRegressionModel"),
#' @export
#' @note sum
Github user felixcheung commented on the issue:
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@shivaram any more thought? I'll merge since we should have this to be
ready for CRAN.
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LGTM
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Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/14663
Ah right, good point. Actually I realised that the doc in
`ml.feature.StandardScaler` needs updating for `withMean`:
```
/**
* Whether to center the data with mean before scaling
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/14735#discussion_r75664196
--- Diff: R/pkg/R/mllib.R ---
@@ -1027,7 +1009,7 @@ setMethod("spark.gaussianMixture", signature(data =
"SparkDataFrame", formula =
#' @export
#
Github user felixcheung commented on a diff in the pull request:
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--- Diff: docs/configuration.md ---
@@ -1752,6 +1752,13 @@ showDF(properties, numRows = 200, truncate = FALSE)
Executable for executing R scripts
Github user felixcheung commented on the issue:
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Could you open a JIRA on this and add more info on why this is needed and
can't use `SPARKR_DRIVER_R`?
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+ @yanboliang for R `spark.gaussianMixture`
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Does this work with Spark Standalone?
"yarn-client" is actually deprecated:
https://github.com/apache/spark/blob/9f37d4eac28dd179dd523fa7d645be97bb52af9c/core/src/main/scala/org/apac
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Github user felixcheung commented on the issue:
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looks good to me.
do we need to consider case? is "a1" the same as "A1"?
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Github user viirya commented on the issue:
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@hvanhovell as I know, a temporary table will be resolved as arbitrary
logical plan, instead of `LeafNode` that the statistics of a query plan is
based on. I think it will cause problem, doesn't it?
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/14750
[SPARK-17183][SQL] put hive serde table schema to table properties like
data source table
## What changes were proposed in this pull request?
For data source tables, we will put its tabl
Github user HyukjinKwon commented on the issue:
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[Here](https://gist.github.com/HyukjinKwon/4a7e0848173d045fd6faf3e3030f62db)
before this PR and
[here](https://gist.github.com/HyukjinKwon/1a5be83ae77633550e2ab15a2f6883a3)
after this PR. It s
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Github user pwoody commented on a diff in the pull request:
https://github.com/apache/spark/pull/14733#discussion_r75672675
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
---
@@ -125,12 +129,37 @@ case class InMemoryTableScanE
Github user cloud-fan commented on the issue:
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cc @yhuai @gatorsmile
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Github user HyukjinKwon commented on the issue:
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Hm, yea, I think we should take that into account as
`spark.sql.caseSensitive` is `false` by default. I will take a look at R as
well and will fix this up tomorrow. Thank you for reviewing @feli
Github user felixcheung commented on the issue:
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ah, thanks for running the tests. yea, I don't think we fare well on
Windows.
I don't know if the Spark Jenkins support Windows or that we check it works
before releasing.
We should
Github user felixcheung commented on the issue:
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any more thought? I'd like to merge to facilitate more R mllib work.
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GitHub user witgo opened a pull request:
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[WIP][SPARK-17184][[CORE]]Replace ByteBuf with InputStream
## What changes were proposed in this pull request?
The size of ByteBuf can not be greater than 2G, should be replaced by
InputStre
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Github user tgravescs commented on the issue:
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No, it all gets including into one assembly jar used by the nodemanagers
(/spark-${project.version}-yarn-shuffle.jar)
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/14752
[SPARK-17186][SQL] remove catalog table type INDEX
## What changes were proposed in this pull request?
Actually Spark SQL doesn't support index, the catalog table type `INDEX` is
from Hi
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Github user cloud-fan commented on the issue:
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cc @yhuai @gatorsmile
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