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Github user hhbyyh commented on the issue:
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Yes, I think local test is enough for both correctness and performance.
For consistency with old LDA, just some manual local test would be
sufficient. You may well just use the LDA example
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/group.py ---
@@ -192,7 +193,66 @@ def pivot(self, pivot_col, values=None):
jgd = self._jgd.pivot(pivot_col)
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@WeichenXu123 would you be able to take an initial look at this?
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@kalvinnchau I'm running Hadoop 2.6 on a DC/OS cluster with Mesos 1.4.0
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--- Diff: python/pyspark/sql/group.py ---
@@ -192,7 +193,67 @@ def pivot(self, pivot_col, values=None):
jgd = self._jgd.pivot(pivot_col)
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@srowen @thunterdb any more thoughts on this?
how about @sethah @yanboliang @jkbradley?
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[SQL][WIP] Fix FlatMapGroupsInR's child distribution when grouping
attributes are empty
## What changes were proposed in this pull request?
Looks like
Github user akopich commented on the issue:
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@jkbradley, thank you!
- Correctness: in order to test the equivalence of two versions of
`submitMiniBatch` I have to bring both of them into the scope... One solution
would be to derive a
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Github user zsxwing commented on the issue:
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Thanks! Merging to master.
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@HyukjinKwon Yeah, wait me few minutes. Thanks.
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--- Diff:
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@@ -394,7 +394,11 @@ case class FlatMapGroupsInRExec(
override def
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LGTM mind opening a JIRA?
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From the stacktrace posted in the JIRA, the problematic code is:
/* 151 */ comp = agg_bufValue.compare(smj_value3);
`agg_bufValue` is a `long` but `smj_value3` is a
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Github user rekhajoshm commented on the issue:
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@viirya You are correct, i am on latest master, and i did not get it yet.
This PR was to have a defensive condition. As, if this happens only under
certain unique data/flow, this is the one
Github user felixcheung commented on a diff in the pull request:
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--- Diff:
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@@ -394,7 +394,11 @@ case class FlatMapGroupsInRExec(
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I think we don't want to add such defensive condition and avoid the
logtrace. Without that, we don't know the problem is happened. We should
identify the issue and fix it if it is really there,
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Github user srowen commented on the issue:
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I think the argument for it if anything is that it's a) deprecated, so
should kinda be optional to build, and b) this would simply be consistent with
how other external/* modules are handled. For
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--- Diff:
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@@ -697,7 +697,14 @@ class CodegenContext {
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Github user viirya commented on the issue:
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Ok. The added test works to verify this is an issue. See the test result of
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Github user cloud-fan commented on the issue:
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hmm, it's not a bug fix but a nice-to-have feature, do we want this in
spark 2.2?
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[SPARK-21785][SQL]Support create table from a parquet file schema
## Support create table from a parquet file schema
As described in jira:
```sql
CREATE EXTERNAL TABLE IF NOT EXISTS
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@@ -462,31 +462,54 @@ final class OnlineLDAOptimizer extends
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[WIP][SS][MINOR] "keyWithIndexToNumValues" -> "keyWithIndexToValue"
## What changes were proposed in this pull request?
This PR changes `keyWithIndexToNumValues` to `keyWithIndexToValue`.
Github user viirya commented on a diff in the pull request:
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@@ -519,3 +519,18 @@ case class CoGroup(
Github user icexelloss commented on the issue:
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I pushed a new commit addressing the comments. Let me scan through the
comments again. I think there are some comments around worker.py not being
addressed yet.
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@@ -26,6 +26,25 @@ import
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--- Diff:
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---
@@ -0,0 +1,99 @@
+/*
+ *
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[SPARK-22196][Core] Combine multiple input splits into a HadoopPartition
## What changes were proposed in this pull request?
Spark native read path allows tuning the partition size based
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retest this please
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https://github.com/apache/spark/pull/19083
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/18704
thanks, merging to master!
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r142586820
--- Diff: python/pyspark/worker.py ---
@@ -74,17 +74,35 @@ def wrap_udf(f, return_type):
def wrap_pandas_udf(f, return_type):
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