Github user dbtsai commented on the issue:
https://github.com/apache/spark/pull/17736
LGTM. Thanks. @cloud-fan @rxin this fixes our production jobs when we port
our applications from 1.6 to 2.0. I think it's a important bug fix. Thanks.
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Github user facaiy commented on the issue:
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I scanned split critical of sklearn and xgboost.
1. sklearn
count all continuous values and split at mean value.
commit 5147fd09c6a063188efde444f47bd006fa5f95f0
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Can one of the admins verify this patch?
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GitHub user unsleepy22 opened a pull request:
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[SPARK-20422][Spark Core] Worker registration retries should be configurable
## What changes were proposed in this pull request?
make prolonged registration retries configurable
##
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17737
cc @srowen, @holdenk, @felixcheung, @map222 and @zero323 who were in
related PRs.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -337,26 +381,39 @@ def isin(self, *cols):
return Column(jc)
# order
-
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/bitwiseExpressions.scala
---
@@ -86,7 +86,7 @@ case class
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -251,15 +286,16 @@ def __iter__(self):
# string methods
_rlike_doc = """
-
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Column.scala ---
@@ -1008,7 +1009,7 @@ class Column(val expr: Expression) extends Logging {
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -337,26 +381,39 @@ def isin(self, *cols):
return Column(jc)
# order
-
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -288,8 +324,16 @@ def __iter__(self):
>>> df.filter(df.name.endswith('ice$')).collect()
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -527,7 +584,7 @@ def _test():
.appName("sql.column tests")\
.getOrCreate()
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -337,26 +381,39 @@ def isin(self, *cols):
return Column(jc)
# order
-
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -269,17 +305,17 @@ def __iter__(self):
[Row(age=2, name=u'Alice')]
"""
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/column.py ---
@@ -269,17 +305,17 @@ def __iter__(self):
[Row(age=2, name=u'Alice')]
"""
--- End diff
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
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--- Diff: python/pyspark/sql/column.py ---
@@ -185,17 +185,52 @@ def __contains__(self, item):
"in a string column or
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Github user wzhfy commented on the issue:
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@gatorsmile Hive treats comment simply as a key in the string-string
parameter map, while spark extracts comment from the map as a field in
`CatalogTable`. So the question is, should spark consider
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[SPARK-20442][PYTHON][DOCS] Fill up documentations for functions in Column
API in PySpark
## What changes were proposed in this pull request?
This PR proposes to fill up the
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Github user viirya commented on the issue:
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Let's see if it breaks any existing tests.
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cc @dbtsai @hvanhovell
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GitHub user viirya opened a pull request:
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[SPARK-20399][SQL][WIP] Can't use same regex pattern between 1.6 and 2.x
due to unescaped sql string in parser
## What changes were proposed in this pull request?
The new SQL parser is
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17708
I have the same question as Reynold asked in the mailing list. Doesn't
common sub expression elimination already address this issue?
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17540
This PR will change the Spark UI.
For a simple query `Seq(1 -> "a").toDF("i", "j").write.parquet("/tmp/a")`,
previously the SQL tab of Spark UI will show
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala
---
@@ -111,6 +111,11 @@ case class
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala ---
@@ -197,7 +211,11 @@ class CatalogImpl(sparkSession: SparkSession)
Github user zero323 commented on a diff in the pull request:
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--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -1546,6 +1546,40 @@ test_that("string operators", {
expect_equal(collect(select(df3,
Github user zero323 commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -3745,3 +3745,55 @@ setMethod("collect_set",
jc <- callJStatic("org.apache.spark.sql.functions",
Github user zero323 commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -3745,3 +3745,55 @@ setMethod("collect_set",
jc <- callJStatic("org.apache.spark.sql.functions",
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--- Diff: R/pkg/R/functions.R ---
@@ -3745,3 +3745,55 @@ setMethod("collect_set",
jc <- callJStatic("org.apache.spark.sql.functions",
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Github user uncleGen closed the pull request at:
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--- Diff:
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@@ -135,7 +139,8 @@ class
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@@ -135,7 +139,8 @@ class
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@@ -135,7 +139,8 @@ class
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@@ -101,6 +103,36 @@ abstract class
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Thanks for the info @srowen - this should be better now.
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3642,3 +3642,58 @@ setMethod("checkpoint",
df <- callJMethod(x@sdf, "checkpoint",
Github user zero323 commented on a diff in the pull request:
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -308,6 +308,21 @@ numCyl <- summarize(groupBy(carsDF, carsDF$cyl), count
= n(carsDF$cyl))
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3642,3 +3642,58 @@ setMethod("checkpoint",
df <- callJMethod(x@sdf, "checkpoint", as.logical(eager))
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3642,3 +3642,58 @@ setMethod("checkpoint",
df <- callJMethod(x@sdf, "checkpoint", as.logical(eager))
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@@ -135,7 +139,8 @@ class
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@@ -101,6 +103,36 @@ abstract class
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--- Diff: docs/streaming-kinesis-integration.md ---
@@ -216,3 +216,7 @@ de-aggregate records during consumption.
- If no Kinesis checkpoint info exists
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--- Diff: docs/streaming-kinesis-integration.md ---
@@ -216,3 +216,7 @@ de-aggregate records during consumption.
- If no Kinesis checkpoint info exists
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--- Diff:
sql/core/src/test/resources/sql-tests/inputs/describe-table-after-alter-table.sql
---
@@ -0,0 +1,29 @@
+CREATE TABLE table_with_comment
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/17712
Why use a map? That's super unstructured and easy to break ...
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--- Diff: docs/streaming-kinesis-integration.md ---
@@ -216,3 +216,7 @@ de-aggregate records during consumption.
- If no Kinesis checkpoint info exists
Github user wangmiao1981 commented on the issue:
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@felixcheung I just came back from vacation. I will make changes now.
Thanks!
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Github user vijoshi commented on the issue:
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Thanks, I tried this out - looks like doing a `rm(".sparkRsession",
envir=SparkR:::.sparkREnv)` is a way to prevent the infinite loop situation. If
I need to setup an active binding for
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--- Diff:
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@@ -0,0 +1,162 @@
+-- Automatically generated
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