GitHub user mgummelt opened a pull request:
https://github.com/apache/spark/pull/14514
document that Mesos cluster mode supports python
update docs to be consistent with SPARK-14645
https://issues.apache.org/jira/browse/SPARK-14645
You can merge this pull request into a
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GitHub user dafrista opened a pull request:
https://github.com/apache/spark/pull/14515
[SPARK-16926] [SQL] Remove partition columns from partition metadata.
## What changes were proposed in this pull request?
This removes partition columns from column metadata of partitions
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Can one of the admins verify this patch?
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private[wor
Github user ajbozarth commented on the issue:
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I forgot to comment, but I did check this out and it runs well, I still
think the link on the app summary is redundant though.
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--- Diff:
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@@ -53,9 +53,11 @@ private[deploy] class DriverRunner(
@volatile pr
Github user yhuai commented on the issue:
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Thanks for reviewing! I am merging this to master and branch 2.0.
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@@ -45,6 +52,18 @@ class DriverRunnerTest extends SparkFunSuite {
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GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/14516
[SPARK-15702][DOCS] Changed programming guide to not reference old
accumulator API in Scala
## What changes were proposed in this pull request?
In the programming guide, the accumulato
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Github user ooq commented on the issue:
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@davies It should be fine right? Now we don't have recursions. We don't
need to force `dictionaryIds` instance outside of `ColumnVector` class to use
that method.
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--- Diff:
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@@ -168,7 +173,24 @@ private[deploy] class DriverRunner(
localJar
Github user BryanCutler commented on the issue:
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screenshot above. it looks like some lines are cutout, but that was just
an artifact of the screenshot, those lines are not modified.
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Looks sane to me, but needs some style updates.
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It's not necessary, but more clear (consistent)
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@davies Makes sense. I'll update the PR.
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@volati
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Thanks for the review @vanzin! Style issues have been fixed and renamed
'Launch' to 'Run' where appropriate.
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -41,7 +41,7 @@ setOldClass("structType")
#'\dontrun{
#' sparkR.session()
#' df <- createDataFrame(faithfu
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -41,7 +41,7 @@ setOldClass("structType")
#'\dontrun{
#' sparkR.session()
#' df <- createDataFrame(faithf
Github user rxin commented on the issue:
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Is this a bug fix? If yes, shouldn't we merge it in 2.0?
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@davies Added some test results with larger number of distinct keys.
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Github user ooq commented on the issue:
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@davies @sameeragarwal I updated more results in the benchmark PR
https://github.com/apache/spark/pull/14266 .
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--- Diff:
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@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foun
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@davies Updated.
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--- Diff:
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@@ -425,6 +430,110 @@ case class AlterTableDropPartitionCommand(
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@rxin Do you think we can revisit this feature and have it in 2.1? Thanks!
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Github user djk121 commented on the issue:
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I'm doing this:
val dataframe = sparkSession.read
.format("com.databricks.spark.csv")
.option("header", "true")
.option("nullValue", "null")
.schema
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GitHub user GregBowyer opened a pull request:
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[SPARK-16931][PYTHON] PySpark APIS for bucketBy and sortBy
## What changes were proposed in this pull request?
API access to allow pyspark to use bucketBy and sortBy in datraframes.
You can
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ping @cloud-fan @hvanhovell Can you look at this if it is making sense for
you? Thanks.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14118
BTW, this problem exists in the external CSV data source as well. The root
cause of https://github.com/databricks/spark-csv/issues/370 is this issue and
also if my understanding is correct, the
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