[GitHub] [spark] SparkQA commented on pull request #30080: [SPARK-33175][K8S] Detect duplicated mountPaths and stop at Spark side

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[GitHub] [spark] kjmrknsn opened a new pull request #30082: [MINOR][DOCS][EXAMPLE] Fix the Python manual_load_options_csv example

2020-10-17 Thread GitBox


kjmrknsn opened a new pull request #30082:
URL: https://github.com/apache/spark/pull/30082


   ### What changes were proposed in this pull request?
   This pull request changes the `sep` parameter's value from `:` to `;` in the 
example of `examples/src/main/python/sql/datasource.py`. This code snippet is 
shown on the Spark SQL Guide documentation. The `sep` parameter's value should 
be `;` since the data in 
https://github.com/apache/spark/blob/master/examples/src/main/resources/people.csv
 is separated by `;`.
   
   
   ### Why are the changes needed?
   To fix the example code so that it can be executed properly.
   
   
   ### Does this PR introduce _any_ user-facing change?
   Yes.
   This code snippet is shown on the Spark SQL Guide documentation: 
https://spark.apache.org/docs/latest/sql-data-sources-load-save-functions.html#manually-specifying-options
   
   
   ### How was this patch tested?
   By building the documentation and checking the Spark SQL Guide documentation 
manually in the local environment.



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[GitHub] [spark] SparkQA commented on pull request #30080: [SPARK-33175][K8S] Detect duplicated mountPaths and fail at Spark side

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[GitHub] [spark] kjmrknsn opened a new pull request #30081: [MINOR][DOCS] Fix the link to the pickle module page in RDD Programming Guide

2020-10-17 Thread GitBox


kjmrknsn opened a new pull request #30081:
URL: https://github.com/apache/spark/pull/30081


   ### What changes were proposed in this pull request?
   This pull request changes the link to the pickle module page from 
https://docs.python.org/2/library/pickle.html to 
https://docs.python.org/3/library/pickle.html in RDD Programming Guide.
   
   
   ### Why are the changes needed?
   Since Python 2 is no longer supported and it is preferable to refer to the 
pickle module page of Python 3.
   
   
   ### Does this PR introduce _any_ user-facing change?
   Yes.
   Before: the `Pickle` link's destination page was 
https://docs.python.org/2/library/pickle.html
   After: the `Pickle` link's destination page is 
https://docs.python.org/3/library/pickle.html
   
   
   ### How was this patch tested?
   By building the documentation site and check the link's destination page is 
changed correctly in the local environment.



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[GitHub] [spark] SparkQA commented on pull request #30080: [SPARK-33175][K8S] Detect duplicated mountPaths and fail at Spark side

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[GitHub] [spark] dongjoon-hyun opened a new pull request #30080: [SPARK-33175][K8S] Detect duplicated mountPaths and fail at Spark side

2020-10-17 Thread GitBox


dongjoon-hyun opened a new pull request #30080:
URL: https://github.com/apache/spark/pull/30080


   ### What changes were proposed in this pull request?
   
   If there is a conflict on `mountPath`, the pod is created and repeats the 
following error messages and keeps running.
   ```
   $ k get pod -l 'spark-role in (driver,executor)'
   NAMEREADY   STATUSRESTARTS   AGE
   tpcds   1/1 Running   0  4m20s
   ```
   
   ```
   20/10/18 05:09:26 WARN ExecutorPodsSnapshotsStoreImpl: Exception when 
notifying snapshot subscriber.
   io.fabric8.kubernetes.client.KubernetesClientException: Failure executing: 
POST at: 
https://2fba95910afd97c73b9a74acc07e0167.sk1.us-west-2.eks.amazonaws.com/api/v1/namespaces/default/pods.
 Message: Pod "tpcds-exec-1" is invalid: 
spec.containers[0].volumeMounts[1].mountPath: Invalid value: "/data1": must be 
unique. Received status: Status(apiVersion=v1, code=422, 
details=StatusDetails(causes=[StatusCause(field=spec.containers[0].volumeMounts[1].mountPath,
 message=Invalid value: "/data1": must be unique, reason=FieldValueInvalid, 
additionalProperties={})], group=null, kind=Pod, name=tpcds-exec-1, 
retryAfterSeconds=null, uid=null, additionalProperties={}), kind=Status, 
message=Pod "tpcds-exec-1" is invalid: 
spec.containers[0].volumeMounts[1].mountPath: Invalid value: "/data1": must be 
unique, metadata=ListMeta(_continue=null, remainingItemCount=null, 
resourceVersion=null, selfLink=null, additionalProperties={}), reason=Invalid, 
status=Failure, additionalProperties={}).
   We had better fail at Spark side.
   ```
   
   ### Why are the changes needed?
   
   
   
   ### Does this PR introduce _any_ user-facing change?
   
   
   
   ### How was this patch tested?
   
   



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[GitHub] [spark] dongjoon-hyun closed pull request #30073: [SPARK-33170][SQL] Add SQL config to control fast-fail behavior in FileFormatWriter

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dongjoon-hyun closed pull request #30073:
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[GitHub] [spark] imback82 opened a new pull request #30079: [SPARK-33174][SQL] Migrate DROP TABLE to use UnresolvedTableOrView to resolve the identifier

2020-10-17 Thread GitBox


imback82 opened a new pull request #30079:
URL: https://github.com/apache/spark/pull/30079


   
   
   ### What changes were proposed in this pull request?
   
   This PR proposes to migrate `DROP TABLE` to use `UnresolvedTableOrView` to 
resolve the table/view identifier. This allows consistent resolution rules 
(temp view first, etc.) to be applied for both v1/v2 commands. More info about 
the consistent resolution rule proposal can be found in 
[JIRA](https://issues.apache.org/jira/browse/SPARK-29900) or [proposal 
doc](https://docs.google.com/document/d/1hvLjGA8y_W_hhilpngXVub1Ebv8RsMap986nENCFnrg/edit?usp=sharing).
   
   ### Why are the changes needed?
   
   
   The current behavior is not consistent between v1 and v2 commands when 
resolving a temp view.
   In v2, the `t` in the following example is resolved to a table:
   ```scala
   sql("CREATE TABLE testcat.ns.t (id bigint) USING foo")
   sql("CREATE TEMPORARY VIEW t AS SELECT 2")
   sql("USE testcat.ns")
   sql("DROP TABLE t") // 't' is resolved to testcat.ns.t
   ```
   whereas in v1, the `t` is resolved to a temp view:
   ```scala
   sql("CREATE DATABASE test")
   sql("CREATE TABLE spark_catalog.test.t (id bigint) USING csv")
   sql("CREATE TEMPORARY VIEW t AS SELECT 2")
   sql("USE spark_catalog.test")
   sql("DROP TABLE t") // 't' is resolved to a temp view
   ```
   
   ### Does this PR introduce _any_ user-facing change?
   
   After this PR, for v2, `DROP TABLE t` is resolved to a temp view `t` instead 
of `testcat.ns.t`, consistent with v1 behavior.
   
   ### How was this patch tested?
   
   Added a new test
   



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[GitHub] [spark] viirya commented on pull request #30078: [SPARK-26646][TEST][PySpark][2.4] Fix flaky test: pyspark.mllib.tests.test_streaming_algorithms StreamingLogisticRegressionWithSGDTests.test_t

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   cc @dongjoon-hyun 



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[GitHub] [spark] viirya commented on pull request #30020: [SPARK-33123][TESTS] Ignore `GitHub Action file` change in Amplab Jenkins

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viirya commented on pull request #30020:
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   Hi @williamhyun would you like to quickly update the comment of 
`determine_modules_for_files` 
(https://github.com/apache/spark/pull/30020#pullrequestreview-506989673) so I 
can merge this? Thanks.



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[GitHub] [spark] viirya commented on pull request #30075: [SPARK-33131][SQL][2.4] Fix grouping sets with having clause can not resolve qualified col name

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   Created #30078.



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[GitHub] [spark] viirya opened a new pull request #30078: [SPARK-26646][TEST][PySpark][2.4] Fix flaky test: pyspark.mllib.tests.test_streaming_algorithms StreamingLogisticRegressionWithSGDTests.test_t

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viirya opened a new pull request #30078:
URL: https://github.com/apache/spark/pull/30078


   
   
   ### What changes were proposed in this pull request?
   
   
   This is backport of SPARK-26646 to branch-2.4 to fix flaky test in the 
branch.
   
   ### Why are the changes needed?
   
   
   The test 
pyspark.mllib.tests.StreamingLogisticRegressionWithSGDTests.test_training_and_prediction
 looks sometimes flaky.
   
   ```
   Traceback (most recent call last):
 File "/home/runner/work/spark/spark/python/pyspark/mllib/tests.py", line 
1492, in test_training_and_prediction
   self._eventually(condition, timeout=180.0)
 File "/home/runner/work/spark/spark/python/pyspark/mllib/tests.py", line 
133, in _eventually
   lastValue = condition()
 File "/home/runner/work/spark/spark/python/pyspark/mllib/tests.py", line 
1487, in condition
   self.assertGreater(errors[1] - errors[-1], 0.3)
   AssertionError: -0.07006 not greater than 0.3
   ```
   
   The predict stream can possibly be consumed to the end before the input 
stream. When it happens, the model improvement is not high as expected and 
causes test failed. This patch tries to increase number of batches of streams. 
This won't increase test time because we have a timeout there.
   
   ### Does this PR introduce _any_ user-facing change?
   
   
   No
   
   ### How was this patch tested?
   
   
   Unit test



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[GitHub] [spark] viirya commented on pull request #30075: [SPARK-33131][SQL][2.4] Fix grouping sets with having clause can not resolve qualified col name

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viirya commented on pull request #30075:
URL: https://github.com/apache/spark/pull/30075#issuecomment-711043630


   Ok, let me backport #23586 to branch-2.4.



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