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@@ -154,6 +176,24 @@ private[spark] object Config ext
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yea, thanks for the comments! I'll try to fix based on the comments.
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--- Diff: python/pyspark/worker.py ---
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--- Diff: core/src/test/scala/org/apache/spark/SparkContextSuite.scala ---
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LocalSparkCo
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// TODO: We
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Github user HeartSaVioR commented on the issue:
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Retaining versions of state is also relevant to do snapshotting the last
version in files: HDFSBackedStateStoreProvider doesn't snapshot if the version
doesn't exist in loadedMaps. So we may wan
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--- Diff:
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@TomaszGaweda @aalobaidi
Please correct me if I'm missing here.
From every start of batch, state store loads previous version of state so
that it can be read and written. If we unlo
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.intConf
Github user viirya commented on the issue:
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I set up a Spark cluster with 5 nodes on EC2.
```scala
def benchmark(func: () => Unit): Unit = {
val t0 = System.nanoTime()
func()
val t1 = System.nanoTime()
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ok to test
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GitHub user debugger87 reopened a pull request:
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[SPARK-21687][SQL] Spark SQL should set createTime for Hive partition
## What changes were proposed in this pull request?
Set createTime for every hive partition created in Spark SQL,
Github user debugger87 commented on the issue:
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@cxzl25 OK, reopen it
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--- Diff: python/pyspark/ml/feature.py ---
@@ -2582,25 +2582,27 @@ class StopWordsRemover(JavaTransformer,
HasInputCol, HasOutputCol, JavaMLReadabl
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--- Diff:
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@@ -0,0 +1,66 @@
+/*
+ * Licensed t
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@@ -55,6 +56,12 @@ class StreamingQueryManager private
Github user HyukjinKwon commented on the issue:
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Mind fixing the PR title to `[SPARK-24479][SS] Added config for registering
streamingQueryListeners`?
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@henryr 1.0/0.0 also returns null in Spark SQL ...
```
scala> sql("select cast(1.0 as double)/cast(0 as double)").show()
+-+
|(CAST(1.0 AS DOU
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GitHub user arunmahadevan opened a pull request:
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SPARK-24480: Added config for registering streamingQueryListeners
## What changes were proposed in this pull request?
Currently a "StreamingQueryListener" can only be registered
prog
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ping @tdas @jose-torres @HeartSaVioR
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Github user henryr commented on the issue:
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@rxin Other engines are all over the place:
* MySQL doesn't have support for infinity (based on my cursory look) - 1.0
/ 0.0 is written as `null`. Also seems to be true of SQLite.
* Postg
Github user tedyu commented on the issue:
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There is only
target/surefire-reports/TEST-org.apache.spark.sql.kafka010.KafkaMicroBatchV2SourceSuite.xml
under target/surefire-reports
That file doesn't contain test output.
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Github user mengxr commented on the issue:
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@maropu Thanks for updating this PR! It would be easier to maintain the
logic in one place. I think it should be feasible to do everything inside
`canonicalizeType` without modifying `JsonParser` or
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Github user maasg commented on the issue:
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@zsxwing Thanks for dropping by. This patch is about fixing the rate ramp
up when `rowsPerSecond <= rampUpTime`, which makes the Rate Source produce no
data until `rampUpTime` (See
[SPARK-24046](htt
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Github user eric-maynard commented on a diff in the pull request:
https://github.com/apache/spark/pull/21488#discussion_r193549547
--- Diff: external/kafka-0-10-sql/pom.xml ---
@@ -29,7 +29,7 @@
spark-sql-kafka-0-10_2.11
sql-kafka-0-10
-0.10.0.1
+
Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/21319
Here's the commit with my changes to support v2 stats in the visitor, sorry
it took so long for me to find the time!
https://github.com/apache/spark/pull/21503/commits/9d3a11e68bca6c5a56a2be47fb0
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21503
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GitHub user rdblue opened a pull request:
https://github.com/apache/spark/pull/21503
[SPARK-24478][SQL] Move projection and filter push down to physical
conversion
## What changes were proposed in this pull request?
This removes the v2 optimizer rule for push-down and inste
Github user superbobry commented on the issue:
https://github.com/apache/spark/pull/21180
Friendly ping @HyukjinKwon.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/21483
Ah, maybe I rushed to read the JIRA. For 2. there are already single
attribute being loaded `ImageSchema` since all other attributes has an
underscore; however, sure, it should be the best to ex
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