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@hvanhovell Could you look at the PR please.
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[SPARK-24858][SQL] Avoid unnecessary parquet footer reads
## What changes were proposed in this pull request?
Currently the same Parquet footer is read twice in the function
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/WorkerOffer.scala
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@@ -21,4 +21,10 @@ package org.apache.spark.scheduler
* Represents
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Github user wangyum commented on the issue:
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Teradata has `PARTITION BY RANGE_N` option in CREATE TABLE SQL statement.
But SELECT SQL statement not seen in other systems.
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Github user MaxGekk commented on the issue:
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> is the purpose of this API is to have a int instead of struct
Basically, yes. All those methods `simpleString()`, `catalogString()`,
`sql()` return `struct< ... : ...>` which is
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> Does the alternative code I posted above work in that case?
> You can use struct.map(field => s"${quoteIdentifier(field.name)}
${field.dataType.sql}").mkString(",") in the application code
Github user szyszy commented on a diff in the pull request:
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--- Diff:
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@@ -249,6 +259,10 @@ private[spark] class Client(
Github user HyukjinKwon commented on the issue:
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@BryanCutler, this takes longer then I thought. Will complete my review
till this week. For clarification, still no objection about merging it in
orthogonally with my review.
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@@ -0,0 +1,150 @@
+/*
+ * Licensed to the
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Github user gatorsmile commented on the issue:
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@mallman Could we move the changes made in `ParquetReadSupport.scala` to a
separate PR? Then, we can merge this PR very quickly.
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GitHub user koertkuipers opened a pull request:
https://github.com/apache/spark/pull/21818
[SPARK-24860][SQL] Support setting of partitionOverWriteMode in output
options for writing DataFrame
## What changes were proposed in this pull request?
Besides spark setting
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--- Diff:
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@@ -50,6 +50,7 @@ private[spark] class TaskDescription(
val
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--- Diff: core/src/test/scala/org/apache/spark/SparkContextSuite.scala ---
@@ -627,6 +627,48 @@ class SparkContextSuite extends SparkFunSuite with
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@@ -1055,6 +1055,64 @@ class DAGSchedulerSuite extends
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/WorkerOffer.scala
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@@ -21,4 +21,10 @@ package org.apache.spark.scheduler
* Represents
Github user HyukjinKwon commented on the issue:
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Ah, I misunderstood then. Thing is, `fromDDL` was added because it's needed
other APIs rather then it's own purpose. I wonder how commonly it will be used
to be honest. I haven't seen such
Github user mn-mikke commented on a diff in the pull request:
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@@ -3805,3 +3799,332 @@ object ArrayUnion
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--- Diff: python/pyspark/serializers.py ---
@@ -184,27 +184,67 @@ def loads(self, obj):
raise NotImplementedError
-class
Github user cloud-fan commented on the issue:
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I don't have a good idea, cc @gatorsmile
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--- Diff: docs/running-on-yarn.md ---
@@ -121,6 +121,40 @@ To use a custom metrics.properties for the application
master and executors, upd
Use
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@@ -306,9 +318,14 @@ private[yarn] class
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@@ -17,7 +17,7 @@
package
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--- Diff: docs/running-on-yarn.md ---
@@ -121,6 +121,40 @@ To use a custom metrics.properties for the application
master and executors, upd
Use
Github user gengliangwang commented on a diff in the pull request:
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--- Diff:
external/avro/src/main/scala/org/apache/spark/sql/avro/CatalystDataToAvro.scala
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the
Github user arunmahadevan commented on the issue:
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@jose-torres, addressed initial comments.
@tdas, can you also take a look when possible ?
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[SPARK-24861][SS] create corrected temp directories in RateSourceSuite
## What changes were proposed in this pull request?
`RateSourceSuite` may leave garbage files under
Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -400,12 +400,12 @@ hintStatement
fromClause
:
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@@ -440,19 +440,36 @@ class Analyzer(
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About the ResourceTypeValidator: The reason why this class seems complex is
that it is capable of printing "smart" error messages like they are described
in the scaladoc.
When you define memory
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LGTM
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@cloud-fan i created
[SPARK-24860](https://issues.apache.org/jira/browse/SPARK-24860) for this
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Github user MaxGekk commented on the issue:
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> Unless there is some other compelling reason for introducing this which I
have missed; I am -1 on introducing this change.
I would like to describe one class of use cases which you don't
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1349,6 +1339,48 @@ class DAGScheduler(
s"longer
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+1 I'm going to merge, thanks @hthuynh2
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1386,29 +1418,90 @@ class DAGScheduler(
)
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#21729 has been merged @hthuynh2 can you update this one?
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> Thing is, fromDDL was added because it's needed other APIs rather then
it's own purpose.
The `toDDL` function can be reused from `SHOW CREATE TABLE` too:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -3349,20 +3385,20 @@ class Dataset[T] private[sql](
}
}
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -160,6 +160,13 @@ abstract class
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