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Github user sathiyapk commented on the issue:
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I pushed a new commit that addresses @wzhfy review comments..
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Github user WeichenXu123 commented on the issue:
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@ConeyLiu Yes tree aggregate introduce extra shuffle. But it is possible to
improve perf when driver total collecting data size from executors are large
and there're many partitions.
But I
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Github user viirya commented on the issue:
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@juliuszsompolski Thanks for pinging me.
#18931 is an attempt to separate the consume function as it can as
possible. With long chain of any operators, you can have a long consume
function a
Github user sathiyapk commented on a diff in the pull request:
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Github user sathiyapk commented on the issue:
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@gatorsmile thanks for your comments. Here are my thoughts, thanks for
correcting me if i'm wrong. (sorry for the big comment though :))
1. This PR don't change any existing API, it adds a new
Github user szhem commented on a diff in the pull request:
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Github user HyukjinKwon commented on the issue:
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Hi @shaneknapp. I am sorry but it's me again ...
Here, this PR tries to upgrade an R package,
[lintr](https://github.com/jimhester/lintr) for static Code analysis for R,
which is ran vi
Github user mridulm commented on a diff in the pull request:
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@@ -407,4 +407,119 @@ class MemoryStoreSuite
})
assert(m
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})
assert(m
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})
assert(m
Github user HyukjinKwon commented on the issue:
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Ugh.. it failed to install due to permission issue ...
```
Downloading GitHub repo jimhester/lintr@5431140
from URL https://api.github.com/repos/jimhester/lintr/zipball/5431140
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--- Diff: R/pkg/R/column.R ---
@@ -238,8 +238,10 @@ setMethod("between", signature(x = "Column"),
#' @param x a Column.
#' @param dataType a ch
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--- Diff: dev/lint-r.R ---
@@ -24,10 +24,16 @@ if (! library(SparkR, lib.loc = LOCAL_LIB_LOC,
logical.return = TRUE)) {
stop("You should install
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Github user mridulm commented on the issue:
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@viirya @jerryshao To take a step back here.
This specific issue is applicable to window operations and not to shuffle.
In shuffle, you a much larger volume of data written per file
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That's fine. I believe we don't usually need a JIRA for a trivial change
though. Would you mind double checking if there are similar instances in the
PySpark doc?
Also, it'd be great if
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Merged to master.
Thank you @srowen and @dongjoon-hyun.
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@szhem You are correct, currently it fails in the driver itself.
So failures in executor are not seen - since job submission fails.
With this pr, the job submission should succeed - but t
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