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--- Diff: R/pkg/R/mllib.R ---
@@ -605,6 +701,69 @@ setMethod("spark.survreg", signature(data =
"SparkDataFrame", formula = "formula
Github user cloud-fan commented on the issue:
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retest this please
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--- Diff: R/pkg/R/generics.R ---
@@ -1279,6 +1279,19 @@ setGeneric("spark.naiveBayes", function(data,
formula, ...) { standardGeneric("s
#' @export
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--- Diff: R/pkg/R/mllib.R ---
@@ -632,3 +642,159 @@ setMethod("predict", signature(object =
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@@ -0,0 +1,115 @@
+/*
+ * Licensed
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has this change be documented to spark on mesos guide?
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Github user nsyca commented on the issue:
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@dongjoon-hyun, My apologies on the terse comment I put in previously.
There is nothing wrong with the ```full outer join``` with ```using``` What I
tried to explain is the ```using``` is a
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--- Diff: R/pkg/R/generics.R ---
@@ -152,9 +146,9 @@ setGeneric("getNumPartitions", function(x) {
standardGeneric("getNumPartitions")
# @export
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--- Diff: R/pkg/R/mllib.R ---
@@ -533,6 +628,24 @@ setMethod("write.ml", signature(object =
"KMeansModel", path = "character"),
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--- Diff: R/pkg/R/generics.R ---
@@ -152,9 +146,9 @@ setGeneric("getNumPartitions", function(x) {
standardGeneric("getNumPartitions")
# @export
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cc @cloud-fan
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Github user yucai commented on the issue:
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@hvanhovell thanks very much for the advice, yes, I will post the benchmark
results first.
And it is WIP, I will post a generated codes, but kindly not review the
codes details at present, I am
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GitHub user JoshRosen reopened a pull request:
https://github.com/apache/spark/pull/7625
[WIP] [skip ci] Fuzz testing in Spark SQL
[skip ci]
This is a WIP pull request for some expression fuzz testing code that I'm
working on as part of a
hackathon. I'm creating this
Github user andreweduffy commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
---
@@ -703,6 +703,16 @@ class
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--- Diff:
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---
@@ -0,0 +1,115 @@
+/*
+ * Licensed
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--- Diff:
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Github user dbtsai commented on the issue:
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Maybe we could move the shared code `MultiClassSummarizer`,
`LogisticAggregator` and `LogisticCostFun` into
`LogisticRegressionUtils.scala`?
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Github user dongjoon-hyun commented on the issue:
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Hi, @davies .
Could you review this PR about `Timestamp precision` again?
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--- Diff:
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@@ -0,0 +1,626 @@
+/*
+ * Licensed to the
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Github user dongjoon-hyun commented on the issue:
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Hi, @rxin .
Could you review this PR about `PushDownPredicate`?
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Github user dongjoon-hyun commented on the issue:
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Could you give us some examples we miss incorrectly here? We had better
discuss on more concrete examples for other audiences.
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Github user tedyu commented on the issue:
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@hvanhovell
As Martin said in JIRA:
* Add the index column to A' - this time starting at 200, as there are
already entries with id's from 0 to 199 (here, monotonicallyInreasingID( 200 )
Github user holdenk commented on a diff in the pull request:
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--- Diff: python/pyspark/context.py ---
@@ -173,9 +173,8 @@ def _do_init(self, master, appName, sparkHome, pyFiles,
environment, batchSize,
#
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[SPARK-17068][SQL] Make view-usage visible during analysis [WIP]
## What changes were proposed in this pull request?
This PR adds a field to subquery alias in order to make the usage of
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@ericl this looks pretty good. I left a few comments
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -122,6 +122,44 @@ class SQLQuerySuite extends QueryTest with
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@@ -0,0 +1,115 @@
+/*
+ *
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@@ -0,0 +1,115 @@
+/*
+ *
Github user gatorsmile commented on the issue:
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@dongjoon-hyun The root cause is not in the optimizer rule
`EliminateOuterJoin`. Your fix will reduce the chances we can eliminate the
outer-join. This is not a right fix. The existing way we
Github user rxin commented on a diff in the pull request:
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https://github.com/apache/spark/pull/14656#discussion_r74853965
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -122,6 +122,44 @@ class SQLQuerySuite extends QueryTest with
Github user ericl commented on a diff in the pull request:
https://github.com/apache/spark/pull/14656#discussion_r74853782
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/TableValuedFunctionSuite.scala ---
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software
Github user ericl commented on a diff in the pull request:
https://github.com/apache/spark/pull/14656#discussion_r74853793
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TableValuedFunctions.scala
---
@@ -0,0 +1,115 @@
+/*
--- End diff --
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14580
@hvanhovell The output schema is different. They are not equivalent. Thus,
the existing way to handle `using/natural joins` is wrong. We need to introduce
new join types.
Let me show
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/14155#discussion_r74852722
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -689,4 +689,38 @@ class HiveDDLSuite
))
}
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/14656#discussion_r74852451
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/TableValuedFunctionSuite.scala ---
@@ -0,0 +1,61 @@
+/*
+ * Licensed to the Apache Software
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14656
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14506
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