Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153506241
Yep, confirmed and reproduced. If we just wanted to address that bug, we
could do something like #9447, but I think the broader set of changes here are
a good idea.
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153504624
There was a problem in my test-selection regex... trying again.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153503203
I tried with master, it did failed with the sam exception:
```
[info] *** 1 TEST FAILED ***
[error] Failed: Total 6, Failed 1, Errors 0, Passed 5
[erro
Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153501959
So, you tried `TungstenAggregationQueryWithControlledFallbackSuite` and it
did not fail?
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Github user JoshRosen commented on the pull request:
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@davies, @yhuai: I tried taking two sample regression test queries that you
listed here and putting them into AggregationQuerySuite, which should
automatically trigger
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Github user JoshRosen commented on the pull request:
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I filed https://issues.apache.org/jira/browse/SPARK-11486 to describe the
String aggregation bug.
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Github user davies commented on the pull request:
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Will add that into this PR, working on it.
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Github user JoshRosen commented on the pull request:
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What do you think about adding a dedicated regression test for that one
case as part of a separate PR? I'll try that now.
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153485327
Maybe `sqlContext.range(10).selectExpr("id", "repeat(id, 20) as
s").groupBy("s").agg($"s")` is a better case.
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Github user yhuai commented on the pull request:
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@JoshRosen The cause is that if the buffer is an empty one (e.g. we do not
have agg function or all agg functions do not use any buffer slot), the
initialInputBufferOffset
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153466959
This failure could be reproduce by
```
sqlContext.range(N).selectExpr("id", "repeat(id, 20) as
s").groupBy("s").max("id").count()
```
Maybe related t
Github user JoshRosen commented on the pull request:
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I _do_ think that the change in this patch makes sense, but I'd like to
really get to the bottom of why the old code malfunctioned.
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@davies: in the stacktrace that you posted, it looks like it's failing when
trying to update a string column when extracting a partial aggregate result
from an input r
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43787218
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/UnsafeFixedWidthAggregationMapSuite.scala
---
@@ -291,28 +278,27 @@ class UnsafeFixedWidth
Github user yhuai commented on the pull request:
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@JoshRosen @davies has a case to reproduce that problem
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@JoshRosen When the grouping key is StringType, but no column in buffer,
then got:
```
java.lang.UnsupportedOperationException
at
org.apache.spark.sql.cat
Github user JoshRosen commented on the pull request:
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Do you remember what the symptoms were? Just curious.
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--- Diff:
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---
@@ -291,28 +278,27 @@ class UnsafeFixedWidthAgg
Github user davies commented on the pull request:
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@JoshRosen I meant the old implementation of switching, it's broken in
master (not 1.5 branch), had not figured out the root cause.
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--- Diff:
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---
@@ -291,28 +278,27 @@ class UnsafeFixedWidthAgg
Github user davies commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -762,15 +679,7 @@ class TungstenAggregatio
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
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---
@@ -291,28 +278,27 @@ class UnsafeFixedWidth
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
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---
@@ -291,28 +278,27 @@ class UnsafeFixedWidth
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/UnsafeKVExternalSorter.java
---
@@ -142,6 +142,10 @@ public void insertKV(UnsafeRow key, Un
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -473,24 +473,28 @@ class TungstenAggreg
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43785059
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -762,15 +679,7 @@ class TungstenAggrega
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43784097
--- Diff:
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
---
@@ -386,6 +386,18 @@ public void insertKVRecord(Obj
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153440260
@davies, the block comment at the top of `TungstenAggregationIterator` is
now out-of-date; do you mind updating it to reflect the new behavior?
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> Currently, the old one is broken, I'd to remove that one.
@davies, are you referring to the old Aggregate1 interface or the old
implementation of sort fallba
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ping @yhuai @JoshRosen
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After some benchmark, realized that using hashcode as prefix in timsort
will cause regression in timsort and snappy compression (especially for
aggregation after join, th
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Github user davies commented on the pull request:
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Currently, the old one is broken, I'd to remove that one. The new should be
as fast as the old one in worst case, I think we don't need a configuration for
this.
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--- Diff:
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@@ -860,45 +844,48 @@ void growAndRehash() {
resizeStartTime = Sys
Github user viirya commented on the pull request:
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Besides, as we discussed in #9067, should we add a configuration for
turning on/off this feature? This feature may not always have performance gain.
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