GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/21126
[SPARK-24050][SS] Calculate input / processing rates correctly for
DataSourceV2 streaming sources
## What changes were proposed in this pull request?
In some streaming queries, the input and
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retest this please
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--- Diff:
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---
@@ -664,53 +662,52 @@ object
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/union.sql ---
@@ -35,6 +35,11 @@ FROM (SELECT col AS col
SELECT col
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--- Diff:
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---
@@ -111,6 +111,14 @@ object TypeCoercion {
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--- Diff:
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---
@@ -664,53 +662,52 @@ object
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--- Diff:
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---
@@ -782,8 +782,12 @@ object GeneralizedLinearRegression
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--- Diff:
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---
@@ -495,8 +495,8 @@ class
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--- Diff:
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---
@@ -495,8 +495,8 @@ class
Github user dbtsai commented on the issue:
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Why do you want to add this? Once we have mean, it's easy to compute sum.
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--- Diff:
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@@ -507,7 +507,8 @@ class
Github user dongjoon-hyun commented on the issue:
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@rdblue . Could you fix the remaining `KafkaMicroBatchSourceSuite.scala`,
too?
```scala
[error]
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--- Diff:
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@@ -794,4 +794,17 @@ class CachedTableSuite extends QueryTest with
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--- Diff:
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@@ -55,56 +42,38 @@ object InMemoryRelation {
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Github user kiszk commented on the issue:
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I think that one memory block in each iteration is more representative with
having possibility of megamorphism. This is because in the typicalusages in
Spark, a data structure is actually dominated
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LGTM
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--- Diff:
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@@ -89,8 +91,13 @@ case class DataSource(
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--- Diff:
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@@ -0,0 +1,43 @@
+/*
+ * Licensed
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@@ -213,6 +215,25 @@ case class
Github user viirya commented on the issue:
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Don't forget to update PR description too. :)
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--- Diff:
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@@ -217,33 +295,32 @@ class StringIndexerModel (
@Since("1.4.0")
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lgtm
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Github user viirya commented on the issue:
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One question I have is, how do users know if a model (e.g. KMeansModel
after this change) supports pmml & internal formats? I did a search on the
current docs, but didn't find any info.
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retest this please
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Github user dedunumax commented on the issue:
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Having sum as a basic statistic will make the API user-friendly. I'm
thinking about implementing other functions as well. Do you think it is not
worth to implement this?
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LGTM
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Github user efimpoberezkin commented on the issue:
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@jose-torres Hi Jose, could you review and tell me if we need more tests or
a single one will do? Also is it fine to assert status after every stream
action?
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ping
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LGTM
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@@ -155,31 +125,76 @@ case class InMemoryRelation(
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@rdblue
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@@ -79,26 +80,56 @@ private[feature] trait StringIndexerBase extends
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jenkins retest this please.
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@@ -736,12 +736,22 @@ object EliminateSorts extends
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retest this please
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ok to test
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Can one of the admins verify this patch?
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/20980#discussion_r183374589
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
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@@ -1255,8 +1255,64 @@ case class
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