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Github user hhbyyh commented on the issue:
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LGTM. Good fix.
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@sethah To verify the memory issue, you can add one line test code against
current master at here:
```
val modelFutures = ...
// Unpersist training data only when
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retest this please
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thanks, merging to master!
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+#
+# Licensed to the Apache
Github user felixcheung commented on the issue:
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maybe we could also change the test itself to make it more deterministic?
we could first create a new test dataset that avoid having frequency
values, run it through the original
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@@ -146,25 +147,18 @@ class CrossValidator @Since("1.2.0")
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Can you share your test/results with us?
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> Yes, I agree that we eventually should allow client mode including use
cases that directly create SparkContext
Sorry, in your previous comment, it seemed like you were suggesting
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@@ -24,27 +24,29 @@ import
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Thanks. Merging to master.
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> I think we should move the headless service creation into the backend
code - anything essential for the backend to run shouldn't depend on the
submission client/steps.
I agree service
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--- Diff: pom.xml ---
@@ -185,7 +185,7 @@
2.8
1.8
1.0.0
-0.4.0
+0.8.0-SNAPSHOT
--- End diff --
Can we
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@liyinan926:
> Actually given that in our implementations the executors talk to the
driver through a Kubernetes headless service that is only created by the
submission client. None of the
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@vanzin I implemented the enforcement in
https://github.com/apache/spark/pull/19717/commits/44c40b1b7d546e4d214aff78c282c768aa0e3d42.
PTAL. Thanks!
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Each line in the text file is a new row in the
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Checking the presence of `kubernetes.default.svc` is not sufficient as the
driver service must exist. When the submission client is not involved, the
driver itself must create that service
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*/
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retest this please
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@icexelloss I'm sorry for the late response.
Actually I tried to implement prototypes of Pandas UDAF with partial
aggregation and combining existing aggregate functions, but they are still much
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test code:
```
import org.apache.spark.ml.classification._
val df =
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LGTM
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Thank you so much, @cloud-fan !
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Thank you so much, @gatorsmile !
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@srowen
If the default is not correct,I can fix it in this PR by the way.
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+ * Licensed
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Hm, I thought the default would appear in `.../config/package.scala`, but I
don't see it. I'm not actually sure it defaults to 2 anywhere (?) . (@vanzin
does this ring a bell?) I don't think these
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@@ -146,31 +146,34 @@ class CrossValidator @Since("1.2.0")
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https://github.com/apache/spark/pull/19843
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Github user wzhfy commented on a diff in the pull request:
https://github.com/apache/spark/pull/19783#discussion_r155692778
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/FilterEstimationSuite.scala
---
@@ -359,7 +371,7 @@ class
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19927
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