[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
LGTM - merging to master! Thanks!


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
The code didn't respect the ordering because the analyzer adds a project on 
top; this is for cases where you sort by a column that is not in the final 
projection. We could also pattern match on that, but I don't think we should be 
adding too much magic.

Let me merge this, and we can pick this up if it ever becomes an issue 
again.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
ok there were a couple of similar issues such as in-set-operations query 9, 
group-analytics.sql.out query 21 and 22


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
H - apparently the ORDER BY is not the top node in that plan... Lemme 
check


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
ok so here is an example of output I'm not sure is correct:

in-order-by

-- !query 17
SELECT Count(DISTINCT( t1a )),
   t1b
FROM   t1
WHERE  t1h NOT IN (SELECT t2h
   FROM   t2
   where t1a = t2a
   order by t2d DESC nulls first
   )
GROUP  BY t1a,
  t1b
ORDER  BY t1b DESC nulls last
-- !query 17 schema
struct
-- !query 17 output
1   10
1   10
1   16
1   6
1   8
1   NULL

That is the "new" output with your change but it doesn't actually match 
what you'd expect from that query (it isn't t1b DESC) which would be

1   16
1   10
1   10
1   8
1   6
1   NULL


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-03 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
@robbinspg yeah let's use the approach that I suggested. That at least 
makes sure we won't have to fix this again.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-03-01 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
@hvanhovell So I backed out the changes in this PR, implemented your change 
to SQLQueryTestSuite.getNormalizedResult, regenerated the golden results files 
and the tests all pass on my x86 and big endian platforms.

results files that were changed:
sql/core/src/test/resources/sql-tests/results/group-analytics.sql.out

sql/core/src/test/resources/sql-tests/results/order-by-nulls-ordering.sql.out

sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-joins.sql.out

sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-order-by.sql.out

sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/in-set-operations.sql.out

sql/core/src/test/resources/sql-tests/results/subquery/in-subquery/not-in-joins.sql.out


So, should I abandon this PR and go with your solution? I can submit your 
change in a PR along with updated results files if you want.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-28 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
A small follow-up (I got the code to run). We could use the following in 
`SQLQueryTestSuite.getNormalizedResult`:
```scala
  val baseDf = session.sql(sql)
  val (df, isSorted) = baseDf.logicalPlan match {
case Sort(ordering, true, child) =>
  val sort = Sort(ordering ++ child.output.map(SortOrder(_, 
Ascending)), true, child)
  (Dataset.ofRows(session, sort), true)
case _ =>
  (baseDf, false)
  }

  val schema = df.schema
  // Get answer, but also get rid of the #1234 expression ids that show 
up in explain plans
  val answer = 
df.queryExecution.hiveResultString().map(_.replaceAll("#\\d+", "#x"))

  // If the output is not pre-sorted, sort it.
  if (isSorted) (schema, answer) else (schema, answer.sorted)
```

If I run this, it also changes results in the following files:

- group-analytics.sql.out
- in-set-operations.sql.out
- order-by-nulls-ordering.sql.out


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-28 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
I have just taken a look at this. Modifying the sort does not really help. 
I am fine with this approach.

LGTM


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-28 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
I think that the current "order if not currently ordered" in the test suite 
is good for checking the set of results for unordered queries.

If ordered at all then the results should be deterministic given the input 
data and query are part of the test otherwise it is a bad test. So... I think 
this PR is the way to go.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/17039
  
@hvanhovell Is that possible the SQL queries are used to verify the 
behavior of ORDER BY? Do you think we should explicitly leave a comment to say 
SQLQueryTestSuite will not be used for this goal?


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
How about the more pragmatic approach. I think relation algebra only 
guarantees ordering when an order by is the top level operation. Why not just 
check that, and if we find one, add all output columns to the order by?


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/17039
  
The major issue is we do not know the original intention of users' query. 
The query might purposely check whether the result set is sorted or not. Thus, 
the existing test suite design is conservative to avoid adding any sort as long 
as users specify the ORDER BY clause. For example, 
```SQL
SELECT c1, c2, sum(c1) FROM tab1 GROUP BY c1, c2 ORDER BY c1, c2
```
In the above example, although the order by clause does not contain all the 
columns, the result set is always sorted. Thus, our test suite should not sort 
it.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/17039
  
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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/17039
  
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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/17039
  
**[Test build #73508 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/73508/testReport)**
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[`4a4d7ad`](https://github.com/apache/spark/commit/4a4d7ad4b349e49dc4cb81235f796e360dd183f8).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/17039
  
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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
Jenkins retest please


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-27 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
@gatorsmile  I'm glad it wasn't just me that found it complex ;-)

I've modified the patch to remove an unnecessary change as that query was 
not ordered and the test suite code handles that case.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-25 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/17039
  
@hvanhovell I made a try and just realized it might be hard to 
automatically detect whether it is a complete sort and respect the predefined 
sort order. The order by clauses could be complex expressions and the output 
attributes of queries might be the alias of complex expressions too. Thus, 
maybe we still can keep the existing conservative way (i.e., as long as the 
test query specifies the order-by clauses, we expect the query result have 
deterministic orders)



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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-24 Thread robbinspg
Github user robbinspg commented on the issue:

https://github.com/apache/spark/pull/17039
  
@hvanhovell @gatorsmile  I agree that would be a better solution however I 
don't know how to achieve that being unfamiliar with this code.


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-23 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/17039
  
@hvanhovell Yes! This is caused by partial sort + duplication values on the 
sorted columns. Since all these result sets are pretty small, maybe another 
idea is to sort the whole result when we found duplication values on the sorted 
columns? 


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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-23 Thread hvanhovell
Github user hvanhovell commented on the issue:

https://github.com/apache/spark/pull/17039
  
@robbinspg `SQLQueryTestQuite` checks if the result is sorted, if it isn't 
the results get sorted. The problem with this sort check is that it does not 
check if the output is completely sorted, and thus causing test failures when 
rows have the same ordering. The current PR fixes issues with the current 
tests, but it does not guarantee that this won't happen again. Perhaps it is an 
idea to make a modification to the `SQLQueryTestQuite.getNormalizedResult`, 
that always does a complete sort (while respecting the predefined sort order)?



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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-23 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/17039
  
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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

2017-02-23 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/17039
  
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[GitHub] spark issue #17039: [SPARK-19710][SQL][TESTS] Fix ordering of rows in query ...

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