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[SPARK-17150][SQL] Support SQL generation for inline tables
## What changes were proposed in this pull request?
This patch adds support for SQL generation for inline tables. With this, it
Github user viirya commented on the issue:
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--- Diff: R/pkg/R/functions.R ---
@@ -2276,9 +2276,8 @@ setMethod("n_distinct", signature(x = "Column"),
countDistinct(x, ...)
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14155#discussion_r75424795
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
---
@@ -97,16 +92,17 @@ case class
Github user zjffdu commented on the issue:
https://github.com/apache/spark/pull/14639
@shivaram @felixcheung @sun-rui My previous commit didn't resolve the
issue. It succeeded just due to it already download spark in cache dir.
I push another commit to fix the issue. Overall,
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14705#discussion_r75424491
--- Diff: R/pkg/R/functions.R ---
@@ -832,7 +827,10 @@ setMethod("kurtosis",
#' The function by default returns the last values it sees. It will
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -727,6 +730,7 @@ dropTempView <- function(viewName) {
#' @param source The name of external data source
Github user sun-rui commented on the issue:
https://github.com/apache/spark/pull/14639
I think there may be a simpler solution. Just as my comment in the JIRA,
"EXISTING_SPARKR_BACKEND_PORT" env variable can be checked, instead of getting
the whole spark conf from JVM into R.
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -514,9 +519,10 @@ setMethod("registerTempTable",
#'
#' Insert the contents of a SparkDataFrame into a
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14705#discussion_r75424346
--- Diff: R/pkg/R/DataFrame.R ---
@@ -999,9 +1008,10 @@ setMethod("dim",
#' Collects all the elements of a SparkDataFrame and coerces them
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -603,8 +611,9 @@ setMethod("persist",
#' Mark this SparkDataFrame as non-persistent, and remove all blocks for
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -2759,31 +2793,27 @@ setMethod("dropna",
dataFrame(sdf)
})
+#' @param
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -120,8 +120,9 @@ setMethod("schema",
#'
#' Print the logical and physical Catalyst plans to the console
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -1273,12 +1271,15 @@ setMethod("round",
#' bround
#'
#' Returns the value of the column `e` rounded
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14705#discussion_r75424295
--- Diff: R/pkg/R/functions.R ---
@@ -1335,7 +1336,7 @@ setMethod("rtrim",
#' @note sd since 1.6.0
setMethod("sd",
signature(x =
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -1848,7 +1850,7 @@ setMethod("upper",
#' @note var since 1.6.0
setMethod("var",
signature(x
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2114,20 +2116,22 @@ setMethod("pmod", signature(y = "Column"),
#' @rdname approxCountDistinct
#' @name
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2676,6 +2679,11 @@ setMethod("format_string", signature(format =
"character", x = "Column"),
#' representing
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2702,19 +2710,21 @@ setMethod("from_unixtime", signature(x = "Column"),
#' [12:05,12:10) but not in
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2766,6 +2776,10 @@ setMethod("window", signature(x = "Column"),
#' NOTE: The position is not zero based, but 1
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -3115,6 +3166,11 @@ setMethod("dense_rank",
#'
#' This is equivalent to the LAG function in SQL.
#'
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Github user zjffdu commented on the issue:
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@vanzin Could you help review it ?
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Github user zjffdu commented on the issue:
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@felixcheung In what of case user was expecting `1 -> 1.0 (numeric)`,
because internally SparkConf use string for both key and value.
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--- Diff: R/pkg/R/mllib.R ---
@@ -620,11 +625,12 @@ setMethod("predict", signature(object =
"KMeansModel"),
#' predictions on new data, and
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3187,6 +3221,7 @@ setMethod("histogram",
#' @param x A SparkDataFrame
#' @param url JDBC database url of
Github user petermaxlee commented on the issue:
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cc @cloud-fan too
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3003,9 +3036,10 @@ setMethod("str",
#' Returns a new SparkDataFrame with columns dropped.
#' This is a
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -2464,8 +2489,10 @@ setMethod("unionAll",
#' Union two or more SparkDataFrames. This is equivalent to `UNION
Github user petermaxlee commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/FunctionRegistry.scala
---
@@ -161,7 +161,6 @@ object FunctionRegistry {
GitHub user petermaxlee opened a pull request:
https://github.com/apache/spark/pull/14708
[SPARK-17149][SQL] array.sql for testing array related functions
## What changes were proposed in this pull request?
This patch creates array.sql in SQLQueryTestSuite for testing array
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14705#discussion_r75423643
--- Diff: R/pkg/R/mllib.R ---
@@ -917,14 +922,14 @@ setMethod("spark.lda", signature(data =
"SparkDataFrame"),
# Returns a summary of the AFT
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/generics.R ---
@@ -735,6 +752,8 @@ setGeneric("between", function(x, bounds) {
standardGeneric("between") })
setGeneric("cast",
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--- Diff: R/pkg/R/mllib.R ---
@@ -504,14 +504,15 @@ setMethod("summary", signature(object =
"IsotonicRegressionModel"),
#' Users can call
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -917,14 +922,14 @@ setMethod("spark.lda", signature(data =
"SparkDataFrame"),
# Returns a summary of the AFT
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14705
@shivaram BTW do you mind if I ask if we have R style guidelines somewhere
please? I remember I made a PR for R referencing only the other codes. It seems
it is also missing in
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/14699
I haven't exhaustively test out configs, not sure always coercing to string
might be limiting, in certain cases (eg. user was expecting `1` -> `1.0`
(numeric) but now `1` -> `"1"` (character)
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14705#discussion_r75421912
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1202,6 +1215,7 @@ setMethod("toRDD",
#' Groups the SparkDataFrame using the specified columns, so we can run
Github user gatorsmile commented on the issue:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultinomialLogisticRegression.scala
---
@@ -0,0 +1,611 @@
+/*
+ * Licensed to the
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultinomialLogisticRegression.scala
---
@@ -0,0 +1,619 @@
+/*
+ * Licensed to the
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--- Diff:
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---
@@ -0,0 +1,619 @@
+/*
+ * Licensed to the
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/MultinomialLogisticRegressionSuite.scala
---
@@ -0,0 +1,1001 @@
+/*
+ * Licensed
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/MultinomialLogisticRegressionSuite.scala
---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/14703
LGTM
Thanks - I'll merge if no more comments in a bit.
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Github user gurvindersingh commented on the issue:
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@ajbozarth I have changed the information part when `reverseproxyUrl` is
defined. Regarding accessing worker logs it is still working for me when
worker, master and application are on
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala ---
@@ -189,11 +228,35 @@ class ChiSqSelector @Since("1.3.0") (
*/
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--- Diff:
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@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
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--- Diff:
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---
@@ -0,0 +1,1016 @@
+/*
+ * Licensed
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/14452
@davies Thanks for comment.
This is proposed to reuse common subquery results in the query plan. For
example,
WITH cte as (SELECT * FROM src) SELECT * FROM cte a JOIN cte b
Github user ericl commented on the issue:
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On jenkins, it seems sometimes one block manager will fail to register. The
only clue from the logs is
```
16/08/18 18:54:25.796 netty-rpc-connection-0 INFO TransportClientFactory:
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+/*
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Github user gatorsmile commented on the issue:
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: ) Then, it becomes very straightforward to combine
`CreateDataSourceTableCommand` and `CreateDataSourceTableAsSelectCommand` into
the same node.
Now, let me check the data flow of
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+/*
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Github user yimuxi commented on the issue:
https://github.com/apache/spark/pull/14700
@hvanhovell yes, I have tested it.
For I'm now doing the spark unit tests in our server with the AArch64
architecture , and maybe due to the problem of openjdk(the unaligned field in
the
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14676
I've backported this (along with range function).
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r75416875
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultinomialLogisticRegression.scala
---
@@ -0,0 +1,619 @@
+/*
+ * Licensed to the
Github user mallman commented on the issue:
https://github.com/apache/spark/pull/14690
That looks great!
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Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r75416580
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultinomialLogisticRegression.scala
---
@@ -0,0 +1,619 @@
+/*
+ * Licensed to the
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14690
not yet, but I can make one right after
https://github.com/apache/spark/pull/14155 is merged
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14676
thanks, merging to master!
@petermaxlee do you mind send a new PR for 2.0? thanks!
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Github user mallman commented on the issue:
https://github.com/apache/spark/pull/14690
@cloud-fan O... how exciting! Is there a PR?
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14467
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