Github user jiangxb1987 commented on the issue:
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IMO it should be fine to not provide output directory if you are not using
absolute output paths, I also don't think we should always create absolute
output paths in
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@@ -63,9 +74,22 @@ private[parquet]
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+/*
+ * Licensed to the Apache
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@brkyvz
1. we can add this test later.
2. as discussed offline, this method is only to generate the expression and
is not responsible for checking whether the expression has watermarks.
Github user mallman commented on the issue:
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> Oh crap. I know what happened here. I've been updating some of the unit
tests locally, and I've been running changes against these modified tests. I'll
fix this and push a commit.
This
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+/*
+ *
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@BryanCutler Do you have more comments? I can check it out now but don't
want to review at the same time.
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@@ -303,16 +302,17 @@ object CrossValidatorModel extends
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@@ -159,12 +159,15 @@ class CrossValidatorSuite
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@@ -160,11 +160,13 @@ class TrainValidationSplitSuite
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala ---
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -255,18 +257,30 @@ def _fit(self, dataset):
randCol = self.uid + "_rand"
df =
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thanks @vanzin
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--- Diff: python/pyspark/ml/tuning.py ---
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# See the License for the specific language governing permissions and
#
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--- Diff: python/pyspark/ml/tuning.py ---
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randCol = self.uid + "_rand"
df =
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--- Diff: python/pyspark/ml/tests.py ---
@@ -836,6 +836,27 @@ def test_save_load_simple_estimator(self):
loadedModel =
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# See the License for the specific language governing permissions and
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--- Diff: python/pyspark/ml/tests.py ---
@@ -836,6 +836,27 @@ def test_save_load_simple_estimator(self):
loadedModel =
Github user maryannxue commented on the issue:
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Thank you, @wzhfy, very much for the comments! I have made corresponding
changes in my latest commit.
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Github user mridulm commented on the issue:
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+CC @weiqingy
Can you try this PR with SHC and see if it works ?
That is, remove your current workaround for SPARK-21549 from SHC and try
writing to hbase with a spark version patched with
GitHub user zsxwing opened a pull request:
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[SPARK-22094][SS]processAllAvailable should check the query state
## What changes were proposed in this pull request?
`processAllAvailable` should also check the query state and if the
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Github user ajbozarth commented on the issue:
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For me it's definitely the UI that doesn't work and the SHS that does, I''
see if I can recreate and screenshot the js error I'm getting for you
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--- Diff:
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@@ -544,20 +544,39 @@ private[spark] class MemoryStore(
}
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+/*
+ * Licensed to the Apache
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>Test build #82051 has finished for PR 16578 at commit 00ab80c.
>
> * This patch fails Spark unit tests.
> * This patch merges cleanly.
> * This patch adds no public classes.
Github user HyukjinKwon commented on the issue:
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retest this please
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@MLNick: Do you have the bandwith to revisit this? I'm open to refactoring
to a more plug-gable approach if we've got the review bandwidth for it.
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@brkyvz @zsxwing thank you for reviewing. I have merged it to master!
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ping @gatorsmile @cloud-fan @rxin
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@@ -0,0 +1,77 @@
+/*
+ *
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2142,18 +2159,26 @@ def udf(f=None, returnType=StringType()):
| 8| JOHN DOE|
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@cenyuhai This is an optimize for physical plan, and your case can be
optimized.
```SQL
select dt,
geohash_of_latlng,
sum(mt_cnt),
sum(ele_cnt),
round(sum(mt_cnt) *
GitHub user squito opened a pull request:
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[SPARK-21928][CORE] Set classloader on SerializerManager's private kryo
## What changes were proposed in this pull request?
We have to make sure that SerializerManager's private instance of
Github user mridulm commented on the issue:
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@szhem Did you try this patch with sql ?
A cursory look at
`org.apache.spark.sql.execution.datasources.FileFormatWriter` and
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LGTM: Would love to see the following things a bit more buttoned up in a
follow up PR:
1. Tests on join + aggregation and aggregation + join
2. A better, safer, more understandable
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Merging to 2.1.
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--- Diff: python/pyspark/sql/dataframe.py ---
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