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--- Diff: python/pyspark/ml/fpm.py ---
@@ -243,3 +244,75 @@ def setParams(self, minSupport=0.3, minConfidence=0.8,
itemsCol="items",
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--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
@@ -1504,15 +1504,16 @@ test_that("column functions", {
expect_equal(result, "cba")
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Will resolve comments today @mccheah
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Hi, @cloud-fan . If this PR is still valid, could you resolve the conflicts?
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ok, let us know if you have more information on this
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I filed an issue in Scala community about the interface changes, and they
said those REPL apis are intended to be private.
https://github.com/scala/bug/issues/10913
Being said that, they
Github user jerryshao commented on the issue:
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Simply making these fields publicly accessible seems a little weird from
Spark's side. Maybe we can use reflection instead.
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LGTM
Thanks! Merged to master
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Scala 2.11.12 cannot be built against with current Spark, due to some
method changes in REPL. We have tried internally.
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From my understanding, that option is only available with G1GC, which is
not really a good fit for spark (forget the exact details but something about
humongous allocations which are common with all
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> is this effectively dead code at this point?
yes, thats right. this PR by itself is not useful. Its a step towards
https://github.com/apache/spark/pull/21451
This is a good
Github user squito commented on a diff in the pull request:
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*
* This method will
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Github user advancedxy commented on the issue:
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> I think the best way to do it is to make the shuffle writer responsible
for incrementing the epoch within its task, the same way the data source writer
does currently.
Yeah,
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LGTM pending Jenkins.
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Jenkins, retest this please.
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Thanks, sounds good.
Let me retrigger the build just for checking again.
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@maropu @gatorsmile Do you have any comment/suggestion for this PR? Thanks.
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Jenkins, test this please
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ok to test
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> Basically LGTM, but I'm wondering what if the expr2 is not like a format
string?
The same as Hive:
```sql
spark-sql> SELECT format_number(12332.123456, 'abc');
abc12332
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/taskcontext.py ---
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TaskAttemptID.
"""
return
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--- Diff: docs/running-on-mesos.md ---
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information on Spark config
Github user HyukjinKwon commented on the issue:
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@felixcheung yup. I was just looking at this PR out of my curiosity. I
don't currently have an env to test Mesos.
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@vanzin and @jerryshao, thanks you so much.
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Summary of key changes (WIP; notes to self):
> Summary of changes:
>
> - Introduce a new `UploadStream` RPC which is sent to push a large
payload as a stream (in contrast,
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// Exclude rules for 2.4.x
lazy val v24excludes =
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Basically LGTM, but I'm wondering what if the `expr2` is not like a format
string?
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oh, I meant I was wondering if you could have some time to give another try
by fixing it in worker side. You could revert the current approach in your PR
and try the fix in worker side.
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@ifilonenko ping on this patch?
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Github user mccheah commented on a diff in the pull request:
https://github.com/apache/spark/pull/20697#discussion_r191957294
--- Diff:
resource-managers/kubernetes/integration-tests/scripts/setup-integration-test-env.sh
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+#!/usr/bin/env bash
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+#
GitHub user huaxingao opened a pull request:
https://github.com/apache/spark/pull/21465
[SPARK-24333][ML][PYTHON]Add fit with validation set to spark.ml GBT:
Python API
## What changes were proposed in this pull request?
Add validationIndicatorCol and validationTol to
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