Github user HyukjinKwon commented on the issue:
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To be honest, I know a super hacky funny workaround I use sometimes but ..
want to know if there is any easy way or cleaner way ..
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Github user viirya commented on the issue:
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Oh. I see. After looking at the source file at that time:
Github user cloud-fan commented on the issue:
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Thanks! Since it's a small change, we can do it in future
whole-stage-codegen-related PRs.
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Github user viirya commented on the issue:
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Ok. I think it should be safe to revert this.
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Github user cloud-fan commented on the issue:
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It's different from `evaluateRequiredVariables`,
`evaluateRequiredVariables` pulls out the code to be evaluated and put it in
the beginning of the generated code. However here we just clear the
Github user cenyuhai commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/Exchange.scala
---
@@ -109,3 +109,67 @@ case class ReuseExchange(conf: SQLConf)
Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -109,3 +109,67 @@ case class ReuseExchange(conf: SQLConf)
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--- Diff:
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@@ -109,3 +109,67 @@ case class ReuseExchange(conf: SQLConf)
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Github user squito commented on the issue:
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thanks for the reviews @cloud-fan @HyukjinKwon @ueshin . I've updated the
PR to address all the comments, I believe
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Github user cenyuhai commented on a diff in the pull request:
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--- Diff:
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@@ -93,13 +94,18 @@
private
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--- Diff:
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@@ -87,4 +96,113 @@ class
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--- Diff:
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---
@@ -355,9 +361,31 @@ class
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--- Diff:
core/src/main/scala/org/apache/spark/status/AppStatusListener.scala ---
@@ -727,8 +769,8 @@ private[spark] class AppStatusListener(
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--- Diff: core/src/main/scala/org/apache/spark/status/LiveEntity.scala ---
@@ -40,8 +41,8 @@ private[spark] abstract class LiveEntity {
Github user viirya commented on the issue:
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Although touching ML codes, this is related to SQL. cc @cloud-fan
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3166,6 +3166,92 @@ def test_filtered_frame(self):
self.assertTrue(pdf.empty)
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3348,18 +3385,6 @@ def test_vectorized_udf_null_string(self):
res =
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3166,6 +3166,92 @@ def test_filtered_frame(self):
self.assertTrue(pdf.empty)
Github user icexelloss commented on the issue:
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As a side question, is there an easy way to run coverage reports with
pyspark tests?
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--- Diff:
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@@ -93,9 +93,9 @@ class JobProgressListener(conf: SparkConf) extends
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GitHub user viirya opened a pull request:
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[SPARK-22538][SQL] SQLTransformer should not unpersist possibly cached
input dataset
## What changes were proposed in this pull request?
`SQLTransformer.transform` unpersists input dataset
Github user viirya commented on the issue:
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Also update the UI images in the PR description?
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--- Diff:
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@@ -0,0 +1,168 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -93,9 +93,9 @@ class JobProgressListener(conf: SparkConf)
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--- Diff:
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@@ -93,13 +94,18 @@
private
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@@ -87,4 +96,113 @@ class
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--- Diff:
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@@ -337,6 +341,8 @@ class
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--- Diff:
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@@ -105,13 +108,23 @@
*/
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@@ -30,6 +30,7 @@ import
Github user WeichenXu123 commented on the issue:
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My local test passed. This test failure looks like test system issue.
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Github user gczsjdy commented on the issue:
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Actually, the time gap is O(number of mappers * shuffle partitions). In
this case, number of mappers is not very large, while users are more likely to
get slowed down when they run on a big data
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -961,6 +961,15 @@ object SQLConf {
.booleanConf
Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -105,6 +105,41 @@ abstract class Expression extends
Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -105,6 +105,41 @@ abstract class Expression extends
Github user DazhuangSu commented on the issue:
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@gatorsmile @dongjoon-hyun
Could you give me some advice please?
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Github user maropu commented on the issue:
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Probably, I feel we better track the changes of actual bytecode size
statistics (e.g, `maxCodeSize`) in tpcds, so I'll check later.
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Github user viirya commented on the issue:
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Also from the numbers provided by @maropu, looks no significant regression.
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Seems a good approach that saves us much effort to add similar codes for
many expressions.
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Github user felixcheung commented on the issue:
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how is this coming? it will be good to fix this in 2.2?
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Github user viirya commented on the issue:
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It is correct that we evaluate the variables before generating codes for
bound attributes. The variables' codes are clear and won't be evaluated twice.
Here this is a safety guard that
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@onursatici Could you please close it?
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I like this approach. Does this pr solve the same issue in #18641? or,
orthogonal? Anyway, I checked the TPCDS perf with this current pr:
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Thanks! Merged to master.
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1838,12 +1852,21 @@ class SparkContext(config: SparkConf) extends
Logging {
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@@ -287,8 +300,8 @@ private
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Github user vishnusram commented on the issue:
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Thanks Kwon. It worked
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Github user cloud-fan commented on the issue:
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for example, `spark.range(10).select('id + 1 as 'i).filter('i + 'i < 4)`.
When the filter opetator consumes input, it already pre-evalute `i`, and `'id +
1` is only evaluated once, IIUC.
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Github user hvanhovell commented on the issue:
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Doesn't this break the `Partitioner` contract? Rows for the same key will
now map to multiple partitions.
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@@ -372,23 +381,18 @@
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cc @marmbrus
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[SPARK-22544][SS]FileStreamSource should use its own hadoop conf to call
globPathIfNecessary
## What changes were proposed in this pull request?
Pass the FileSystem created using the
Github user viirya commented on the issue:
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If one variable is used as input to many expressions?
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cc @cloud-fan for review.
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LGTM
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