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streaming flaky test. Jenkins retest this please
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ok to test
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Can one of the admins verify this patch?
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GitHub user piaozhexiu opened a pull request:
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[SPARK-6909][SQL] Remove Hive Shim code
This is a follow-up on #6393. I am removing the following files in this PR.
```
./sql/hive/v0.13.1/src/main/scala/org/apache/spark/sql/hive/Shim13.s
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Github user rxin commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/context.py ---
@@ -196,7 +199,7 @@ def _inferSchema(self, rdd, samplingRatio=None):
"can not infer
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Jenkins, retest this please.
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Github user pwendell commented on the pull request:
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BTW - this is also important to do soon because of the fact that we publish
snapshot releases now from both master and 1.4 branches.
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@vanzin just updated to the newest RC. I kept racing with changes that were
getting back-ported, so I gave up until the branch stabilized a bit.
We can do it ea
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Github user davies commented on a diff in the pull request:
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--- Diff: python/run-tests ---
@@ -142,11 +142,11 @@ fi
echo "Testing with Python version:"
$PYSPARK_PYTHON --version
-run_core_tests
+#
Github user davies commented on a diff in the pull request:
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--- Diff: python/run-tests ---
@@ -70,13 +70,13 @@ function run_core_tests() {
function run_sql_tests() {
echo "Run sql tests ..."
+
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -653,9 +627,11 @@ def describe(self, *cols):
@ignore_unicode_prefix
@since(1.3)
def
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--- Diff: python/pyspark/sql/context.py ---
@@ -378,39 +378,12 @@ def parquetFile(self, *paths):
jdf = self._ssql_ctx.parquetFile(jpaths)
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--- Diff: python/pyspark/sql/context.py ---
@@ -359,18 +365,12 @@ def registerDataFrameAsTable(self, df, tableName):
else:
raise V
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"can not infe
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Github user eggsby commented on the pull request:
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Fixed the pyspark examples and the Class.forName classloading in the test
suites.
I've been having trouble running these integration tests on my laptop,
apologie
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Github user harishreedharan commented on the pull request:
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Looks like it failed one of the new tests. Merging master into this branch
and fixing style now.
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Github user eggsby commented on the pull request:
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Figured it out, that was a package local reference - I actually missed some
string based classloading using the old package names.
Working on a fix now.
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Github user yhuai commented on the pull request:
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I will merge it once it passes tests.
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--- Diff:
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
@@ -443,9 +466,27 @@ private[spark] class ExecutorAllocationManager(
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@@ -443,9 +466,27 @@ private[spark] class ExecutorAllocationManager(
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@srowen
I think in all system, we want make physical memory to be more
controllable.
We use spark on yarn, we always encounter direct buffer is out of control
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Github user eggsby commented on the pull request:
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Hm, not sure where `parquet.ParquetRelation` in
[SQLContext](https://github.com/eggsby/spark/blob/e80e09e8515a9c3f4fc9d4aefcdf0a8015f43679/sql/core/src/main/scala/org/apac
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@liancheng The `Commands using SerDe provided in --jars` test is failing in
`CliSuite`, but I was not able to reproduce this locally. Do you know what's
wrong?
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retest this please
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Github user cloud-fan commented on the pull request:
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I agree this change can make things simple and actually I have tried to do
it before... But think about `AttributeReference.withName`, it won't have
effect as the tree
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GitHub user WangTaoTheTonic opened a pull request:
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[Minor]make the launcher project name consistent with others
I found this by chance while building spark and think it is better to keep
its name consistent with other sub-projects (Spark Pro
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -1083,6 +1083,21 @@ class DataFrame private[sql](
}
/**
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Jenkins, retest this please.
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Github user eggsby commented on the pull request:
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Whoops, looks like I just missed one package name replacement somehow.
I force pushed a fix and flattened the history. Ready to test again :)
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Github user JoshRosen commented on the pull request:
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@potix2, yep, that's the right set of versions to test against. In the
top-level test runner script, I think that we can check whether those versions
are installed (u
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Github user Sephiroth-Lin commented on the pull request:
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@vanzin I have tested again, and below is the result of final status when
we use yarn to kill the application:
\ | YARN UI | Driver Log | AppMaster L
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Github user AmplabJenkins commented on the pull request:
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Github user potix2 commented on the pull request:
https://github.com/apache/spark/pull/4269#issuecomment-108163829
@JoshRosen Should we define the list of supported python versions in a test
script?
I found the below versions in a current python/run-tests.
* 2.6
* 3.4
Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/6493#issuecomment-108163514
Actually I got it.
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