Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/22960
Ur, maybe, I'm not clear to the point. The refactoring scope of this PR is
limited to the new tests here.
```
test("from_csv uses DDL strings for defining a schema - java")
Github user HyukjinKwon commented on the issue:
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Please describe manual tests and how it relates to actual usecase.
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Yes. It would be great if we do that in this PR.
When I did the similar thing for ORC (`port tests from Parquet to ORC`,
`port from old ORC to new ORC`). I received the same comments.
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2230,6 +2237,32 @@ setMethod("from_json", signature(x = "Column",
schema = "characterOrstructType")
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -319,6 +319,27 @@ setMethod("acos",
column(jc)
})
+#' @details
+#'
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2230,6 +2237,32 @@ setMethod("from_json", signature(x = "Column",
schema = "characterOrstructType")
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Github user HyukjinKwon commented on the issue:
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Sorry, why was this change required? I don't see
https://github.com/apache/spark/pull/20944#issuecomment-379525776 is addressed
Can you elaborate please? Why do we make `org.apache.derby` as
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -147,6 +147,30 @@ getDefaultSqlSource <- function() {
l[["spark.sql.sources.default"]]
}
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -147,6 +147,30 @@ getDefaultSqlSource <- function() {
l[["spark.sql.sources.default"]]
}
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -172,15 +196,17 @@ getDefaultSqlSource <- function() {
createDataFrame <- function(data, schema = NULL,
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -147,6 +147,30 @@ getDefaultSqlSource <- function() {
l[["spark.sql.sources.default"]]
}
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -147,6 +147,30 @@ getDefaultSqlSource <- function() {
l[["spark.sql.sources.default"]]
}
Github user MaxGekk commented on the issue:
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> Sorry, but Porting seems to be not the best way to do this.
I saw a bunch of common code in `Csv`/`JsonExpressionsSuite`,
`Csv`/`JsonFunctionsSuite` and `Csv`/`JsonSuite`. I just didn't
Github user MaxGekk commented on a diff in the pull request:
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--- Diff:
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@@ -86,4 +86,82 @@ class CsvFunctionsSuite extends QueryTest with
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Github user MaxGekk commented on the issue:
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@cloud-fan @HyukjinKwon May I ask you to have a look at this PR.
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@HyukjinKwon Are you ok with the changes?
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Github user dongjoon-hyun commented on the issue:
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Since the issue is closed, this PR will be closed at the next infra clean
ups.
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+1 for the decision and closing it.
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I see. Thank you for the clear decision, @rxin ! I'll close the issue as
`Won't Fix`.
And, could you close this PR, @reggert ?
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LGTM
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Thanks for the example. I didn't even know that was possible in earlier
versions. I just looked it up: looks like Scala 2.11 rewrites for
comprehensions into map, filter, and flatMap.
That
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Hi, @rxin , @srowen , @dbtsai , @felixcheung , @gatorsmile , @cloud-fan .
I know this was not a recommended style, but there really exists users with
this issue. And, from Spark
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -387,6 +387,14 @@ abstract class RDD[T: ClassTag](
preservesPartitioning = true)
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@@ -387,6 +387,14 @@ abstract class RDD[T: ClassTag](
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Thank you, @wangyum and @cloud-fan .
Merged to master.
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@@ -411,7 +410,29 @@ abstract class Catalog {
tableName: String,
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Could you review this, @gatorsmile ?
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -530,6 +530,8 @@ Here are the details of all the sources in Spark.
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Could you rebase this once again, @MaxGekk ?
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Could you review this, @gatorsmile and @cloud-fan ?
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@vanzin you are right! I appreciate the help with this one. I will cut a
patch in the AM after testing on a large scale cluster job that is taking from
IBM MQ and ETLing data and shipping off to
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Looks good. I or someone else should take a closer look before getting this
in.
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Retest this please
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@@ -262,25 +262,39 @@ object AppendColumns {
def
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LGTM
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gental ping @jiangxb1987
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[SPARK-25947][SQL] Reduce memory usage in ShuffleExchangeExec by selecting
only the sort columns
## What changes were proposed in this pull request?
When sorting rows,
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def
Github user vanzin commented on the issue:
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Is this a problem in master at all?
The data is serialized with `JacksonMessageWriter`, which seems to be
configured properly:
```
private[v1] class JacksonMessageWriter extends
Github user HyukjinKwon commented on the issue:
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I wonder how important it is. I know `spark-csv` at Databricks supported
different quote modes and that's gone when we ported that into Spark - the root
cause was due to replacing the library
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Github user HyukjinKwon commented on the issue:
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They should be documented in API doc like `DataFrameReader.scala`. For
site, we should avoid doc duplication - It's a general issue to document
options.
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--- Diff: docs/configuration.md ---
@@ -266,6 +266,40 @@ of the most common options to set are:
Only has effect in Spark standalone mode or Mesos
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Only has effect in Spark standalone mode or Mesos
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@@ -266,6 +266,40 @@ of the most common options to set are:
Only has effect in Spark standalone mode or Mesos
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--- Diff: docs/configuration.md ---
@@ -266,6 +266,40 @@ of the most common options to set are:
Only has effect in Spark standalone mode or Mesos
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--- Diff: docs/configuration.md ---
@@ -266,6 +266,40 @@ of the most common options to set are:
Only has effect in Spark standalone mode or Mesos
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--- Diff: docs/monitoring.md ---
@@ -202,6 +202,28 @@ Security options for the Spark History Server are
covered more detail in the
applications
Github user HyukjinKwon commented on the issue:
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So far, the regressions tests are passed and newly added test for R
optimization is verified locally. Let me fix CRAN test and some nits.
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Looks good. I or someone else should take a closer look before getting this
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Github user jianjianjiao commented on the issue:
https://github.com/apache/spark/pull/22926
@AmplabJenkins Could you please find someone to review this? I believe
this is a bug in Spark UI. Thanks.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22960
Merged build finished. Test PASSed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/22960
Test PASSed.
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Test PASSed.
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