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Github user viirya commented on the issue:
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When the condition is satisfied and we know children of Union have same
partitioning, this goes to let the first partition of union result includes
first partitions of children RDDs, and 2nd, 3rd
Github user sabanas commented on the issue:
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@cloud-fan thanks for the feedback, I fixed accordingly.
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Github user icexelloss commented on the issue:
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@HyukjinKwon Thanks for the review! I will address the comments shortly.
And yes, I will work on bounded windows on top of this PR.
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Github user mgaido91 commented on the issue:
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@daniel-shields do you want to open a PR for that? I'll leave this PR open
as it is a more general fix so we can go on with the long-term discussion here
in this PR. Do you agree with this
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> In aggregation we are replacing a needed shuffle with gathering only the
needed rows from the other partitions.
I don't know what this means actually. If we decided we don't need a
Github user DazhuangSu commented on a diff in the pull request:
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--- Diff:
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@@ -510,40 +511,86 @@ case class
Github user TomaszGaweda commented on the issue:
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@HeartSaVioR IMHO we should consider new state provider such as RocksDB,
like Flink and Databricks Delta did. It is not a direct fix, but will improve
latency and memory consumption, maybe
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Github user mgaido91 commented on the issue:
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@viirya I may be wrong, but I am not sure about the performance improvement
brought by this. The goal here is to avoid a shuffle after the `union` operator
(when it is followed by operators
Github user mgaido91 commented on the issue:
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> Because they have same partitioning, for example, I suppose that first
partitions of all RDDs are located at the same place?
I really don't think so.
In aggregation we are
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Github user cxzl25 commented on the issue:
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**Modify the partition will lose createTime.**
Reading the hive partitions ignores createTime when converting the
CatalogTablePartition, it will also be lost when modifying partitions.
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[SPARK-15064][ML] Locale support in StopWordsRemover
## What changes were proposed in this pull request?
Add locale support for `StopWordsRemover`.
## How was this patch
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Seems fine so far to me otherwise
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@HyukjinKwon Yeah, that is also what I thought at the first glance. :)
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--- Diff: python/pyspark/tests.py ---
@@ -1291,27 +1291,31 @@ def test_pipe_unicode(self):
result = rdd.pipe('cat').collect()
Github user HyukjinKwon commented on the issue:
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So .. @e-dorigatti, mind if I ask to elaborate and describe the current
approach within `fail_on_stopiteration`? Seems we will handle UDFs in worker
side and RDD APIs (which takes a function
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retest this please
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4096,6 +4080,43 @@ def foo(df):
def foo(k, v, w):
return k
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@cloud-fan This is removed of WIP and can be review now. Please take a look
when you are available, as supposed that you'll be busy in this week. Thanks.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/ForeachWriter.scala
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@@ -20,10 +20,48 @@ package org.apache.spark.sql
import
Github user HyukjinKwon commented on the issue:
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Hm, I thought we could do almost all of it in worker side but I just took a
closer look and just understood
https://github.com/apache/spark/pull/21467#issuecomment-393907314.
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@@ -1291,27 +1291,31 @@ def test_pipe_unicode(self):
result = rdd.pipe('cat').collect()
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--- Diff:
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@@ -268,3 +269,40 @@ object PhysicalAggregation {
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--- Diff:
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@@ -0,0 +1,173 @@
+/*
+ * Licensed to the
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@jose-torres is it good to go?
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@@ -84,7 +86,36 @@ class StopWordsRemover @Since("1.5.0")
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@@ -231,7 +231,7 @@ class
Github user HeartSaVioR commented on the issue:
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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
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Hi, @jiangxb1987 , can you explain more for what is `barrier scheduling` in
spark and elaborate an example which would only works with `barrier
scheduling`( but could not work under current spark
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--- Diff: python/pyspark/ml/feature.py ---
@@ -2582,25 +2582,27 @@ class StopWordsRemover(JavaTransformer,
HasInputCol, HasOutputCol, JavaMLReadabl
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ok to test
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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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Mind fixing the PR title to `[SPARK-24479][SS] Added config for registering
streamingQueryListeners`?
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@@ -0,0 +1,66 @@
+/*
+ * Licensed
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,
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@cxzl25 OK, reopen it
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--- Diff:
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@@ -1099,6 +1099,17 @@ object SQLConf {
.intConf
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Nice, LGTM.
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https://github.com/apache/spark/pull/20915
thanks, merging to master!
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21502
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GitHub user mgaido91 opened a pull request:
https://github.com/apache/spark/pull/21502
[SPARK-22575][SQL] Add destroy to Dataset
## What changes were proposed in this pull request?
In the Dataset API we may acquire resources which we cannot deallocate.
This happens for
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