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OK, close it.
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@ConeyLiu I just saw extra codes/logics are added. Maybe close it first?
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@kiszk Does this look good to you?
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cc @rednaxelafx Do you have a bandwidth to review this?
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ping @cloud-fan
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`SPARK-15474 ` is zero row. The above case is zero column. Are they the
same issues?
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Github user dongjoon-hyun commented on the issue:
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Thank you for review, @gatorsmile .
1. The test case was added at #15898 (SPARK-18457). I guess Parquet returns
`null`, but we had better have explicit test cases. I will try to
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ok to test
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We can save an empty DataFrame as an ORC table, but we are unable to fetch
it from the table.
```Scala
val rddNoCols = sparkContext.parallelize(1 to 10).map(_ => Row.empty)
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Also LGTM
Regarding the test case you posted, does Parquet return `null` or `empty
string`?
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Github user shaneknapp commented on the issue:
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yeah, this makes sense. i don't think we've officially supported 2.6 in a
while, esp for tests and i'd be ok w/removing the backports. this makes for a
much clearer exit case.
@rxin
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Thank you for review, @cloud-fan !
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looks good, no new dependencies introduced, just upgrading. cc @srowen to
double check. Thanks!
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Hi @ArtRand - Based on my testing and interpretation of the code,
```SPARK_DRIVER_MEMORY``` has no affect on MesosClusterDispatcher. Heap size
always winds up being set to ```-Xmx1G``` (the
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cc @JoshRosen, @holdenk and @shaneknapp, could you take a look and see if
makes sense please?
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[SPARK-22302][INFRA] Remove manual backports for subprocess and print
explicit message for < Python 2.7
## What changes were proposed in this pull request?
Seems there is a mistake
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+/*
+
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--- Diff: docs/running-on-mesos.md ---
@@ -501,23 +503,74 @@ See the [configuration page](configuration.html) for
information on Spark config
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--- Diff: python/pyspark/sql/session.py ---
@@ -414,6 +415,43 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
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@@ -180,6 +180,56 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
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Hi @gatorsmile, if we can combine the two traverse, this should be simplify
the code not complicate. However, this can't get big performance improvement.
And I can close it if this change
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BTW, https://github.com/apache/spark/pull/19459#discussion_r145034007 looks
missed :).
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Hello @pmackles, thanks for this. It would be set to the value of
`SPARK_DRIVER_MEMORY` by default correct? What to you think about introducing a
new envvar (`SPARK_DISPATCHER_MEMORY`) so that it
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--- Diff: python/pyspark/sql/session.py ---
@@ -414,6 +415,39 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
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LGTM except one comment, thanks for working on it!
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LGTM
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--- Diff: python/pyspark/sql/session.py ---
@@ -414,6 +415,39 @@ def _createFromLocal(self, data, schema):
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LGTM!
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Can one of the admins verify this patch?
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Github user susanxhuynh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19437#discussion_r145287767
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackendUtil.scala
---
@@ -170,9 +175,119 @@
Github user susanxhuynh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19437#discussion_r145290625
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackendUtil.scala
---
@@ -170,9 +175,119 @@
Github user susanxhuynh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19437#discussion_r145290603
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackendUtil.scala
---
@@ -170,9 +175,119 @@
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