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Github user actuaryzhang commented on the issue:
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One other change I could make is to change `variancePower` and `linkPower`
to `var.power` and `link.power` to be consistent with `statmod`. But l would
like to get your feedback on this new des
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/16541
is it a performance improvement? there is no difference in the benchmark
results
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--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -1339,6 +1339,11 @@ test_that("column functions", {
expect_equal(collect(select(df, bro
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[SPARK-19881][SQL] Support Dynamic Partition Inserts params with SET command
## What changes were proposed in this pull request?
Since Spark 2.0.0, `SET` commands do not pass the valu
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Thanks! LGTM. Merging to master and 2.1.
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[SPARK-19439][PYSPARK][SQL] PySpark's registerJavaFunction Should Support
UDAFs
## What changes were proposed in this pull request?
Support register Java UDAFs in PySpark so that user can u
Github user asfgit closed the pull request at:
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*/
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*/
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*/
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Thanks! Merging to master and 2.1.
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great work! merging to master!
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val fs =
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--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
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expect_equal(collect(select(df, bro
Github user zjffdu commented on the issue:
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@ptkool Please help the title to include the JIRA Id so that it can be
linked to jira automatically.
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so
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--- Diff:
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@@ -324,14 +324,22 @@ object TypeCoercion {
/
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LGTM
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Github user felixcheung commented on the issue:
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Sure - it's a single columns called `features` so I'm fine with it as a
parameter.
I'm not sure about `inputCol` though, it's a different nomenclature in R
that is different from the rest of
Github user felixcheung commented on the issue:
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awesome!
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Github user zdove commented on the issue:
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Thank you for your reply.
I consider that the code you have changed don't involve about SparkConf. If
you don't change the default SparkConf file then Spark will not recognize the
parameter spark.
Github user viirya commented on the issue:
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oh, the PR description is not correct now. Can you update it too?
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--- Diff: R/pkg/inst/tests/testthat/test_sparkSQL.R ---
@@ -1342,28 +1342,52 @@ test_that("column functions", {
df <- read.json(mapTypeJsonPath)
Github user tejasapatil commented on a diff in the pull request:
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.stringConf
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Github user actuaryzhang commented on the issue:
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@felixcheung OK, new implementation of # 3. Now works in two ways:
1. `family = "tweedie"` + `variancePower` + `linkPower`
2. When `statmod` is available, `tweedie()`
Please tak
Github user viirya commented on the issue:
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LGTM except for a minor comment.
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--- Diff:
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@@ -164,9 +176,12 @@ private[window] final class
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Github user f7753 commented on the issue:
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@tgravescs Sorry for so late to reply, I am really sorry for that.
I haven't use external shuffle, I need to rebase the code to recent
release and retest it. Iâll rebase it on executor shuffl
Github user viirya commented on the issue:
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Btw, since it is a change to SQL code. Better to add `[SQL]` to the title.
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ok, great, could you update PR title and JIRA title then.
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case (
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Github user uncleGen commented on the issue:
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cc @zsxwing
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Github user f7753 commented on the issue:
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@zdove please refer to `org.apache.spark.SparkConf`, spark load all
parameter you set on the file spark-defaults by scripts when JVM process start
and filter those contains "spark", then add them to S
Github user ioana-delaney commented on a diff in the pull request:
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--- Diff:
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.booleanConf
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Github user tejasapatil commented on the issue:
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@carlos-verdes : Thanks for the information. This is moved under an
umbrella jira (SPARK-19256) which has a proposal :
https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshv
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Github user gatorsmile commented on the issue:
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CBO should be part of planning, right? The result of CBO should be
executable plans. IMO, all the CBO rules should be moved the planner. The
current optimizer is just rule-based.
![scre
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