> On Jan. 5, 2018, 4:32 a.m., Jesús Camacho Rodríguez wrote:
> > ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java
> > Line 50 (original), 50 (patched)
> > <https://reviews.apache.org/r/64900/diff/2/?file=1932081#file1932081line50>
> >
> >     Return value for Grouping function should be Long now, as otherwise we 
> > will not be able to represent some of the possible values.
> 
> Prasanth_J wrote:
>     Hmm.. I thought grouping() function only return 2 values. 1 for 
> aggregated and 0 for non-aggregated. Atleast that's what the javadoc says. 
> Should have been boolean :) Correct me if I am wrong.
> 
> Prasanth_J wrote:
>     I think you are right, I missed this comment in the code
>         // grouping(c1, c2, c3)
>         // is equivalent to
>         // 4 * grouping(c1) + 2 * grouping(c2) + grouping(c3)
>         
>     I will fix it in the next patch.

I was going to write you exactly the same thing, thanks! I think the test that 
I asked for below will be sufficient to validate whether this works as expected 
or not. You can see additional examples of usage in 
groupby_grouping_sets_grouping.q.


> On Jan. 5, 2018, 4:32 a.m., Jesús Camacho Rodríguez wrote:
> > ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java
> > Line 63 (original), 63 (patched)
> > <https://reviews.apache.org/r/64900/diff/2/?file=1932081#file1932081line63>
> >
> >     I think it should be sufficient to check for LONG.
> 
> Prasanth_J wrote:
>     The reason I am checking both INT and LONG here is there are many places 
> in compiler that assumes Int for grouping. I fixed in many places, however 
> there are places where string constansts "0" are initialized for 
> "grouping__id" column, some cases where type inferences returns int, some 
> cases constant folding returns int which became too intrusive of a change. So 
> I handled it here in the UDF. Anyway, we use getLong() to retrieve the value. 
> So I guess it is not a problem? As long as the bitmask is returned as long I 
> think it shouldn't be a problem. I will wait for another test run to confirm 
> this statement :)

If only LONG is used, where do you observe the issue / for which tests? I saw 
that you changed it already in many places, including Calcite, thus it should 
be fine? If you let me know the test, I can help taking a look too. I agree 
that it might not be a problem, but I am not sure in which cases we would end 
up referencing an INT, hence I just want to make sure that we are not masking 
another issue.


- Jesús


-----------------------------------------------------------
This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/64900/#review194829
-----------------------------------------------------------


On Jan. 5, 2018, 3:32 a.m., Prasanth_J wrote:
> 
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/64900/
> -----------------------------------------------------------
> 
> (Updated Jan. 5, 2018, 3:32 a.m.)
> 
> 
> Review request for hive and Jesús Camacho Rodríguez.
> 
> 
> Bugs: HIVE-18359
>     https://issues.apache.org/jira/browse/HIVE-18359
> 
> 
> Repository: hive-git
> 
> 
> Description
> -------
> 
> HIVE-18359: Extend grouping set limits from int to long
> 
> 
> Diffs
> -----
> 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java 8b94d1d 
>   
> ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java 
> 90145e5 
>   ql/src/java/org/apache/hadoop/hive/ql/metadata/VirtualColumn.java 0032305 
>   
> ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveGroupingID.java
>  adcda26 
>   
> ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveExpandDistinctAggregatesRule.java
>  89c5c23 
>   
> ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/HiveGBOpConvUtil.java
>  6f4188c 
>   ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java 28b4cfe 
>   ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java 5a88a96 
>   ql/src/java/org/apache/hadoop/hive/ql/plan/GroupByDesc.java 9d4ad22 
>   ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java 
> cee0e14 
>   ql/src/test/queries/clientpositive/cte_1.q 15d3f06 
>   ql/src/test/queries/clientpositive/groupingset_high_columns.q PRE-CREATION 
>   ql/src/test/results/clientpositive/annotate_stats_groupby.q.out ed3d594 
>   ql/src/test/results/clientpositive/annotate_stats_groupby2.q.out ffcb20f 
>   ql/src/test/results/clientpositive/auto_join25.q.out 063d3ca 
>   ql/src/test/results/clientpositive/cte_1.q.out 9374a32 
>   ql/src/test/results/clientpositive/groupby_cube1.q.out e5ece81 
>   ql/src/test/results/clientpositive/groupby_cube_multi_gby.q.out 9a6457c 
>   ql/src/test/results/clientpositive/groupby_grouping_id3.q.out f13b6e5 
>   ql/src/test/results/clientpositive/groupby_grouping_sets1.q.out d70f065 
>   ql/src/test/results/clientpositive/groupby_grouping_sets2.q.out 453b9f7 
>   ql/src/test/results/clientpositive/groupby_grouping_sets3.q.out be8d20e 
>   ql/src/test/results/clientpositive/groupby_grouping_sets4.q.out 0c6ead9 
>   ql/src/test/results/clientpositive/groupby_grouping_sets5.q.out 0bb12e1 
>   ql/src/test/results/clientpositive/groupby_grouping_sets6.q.out 5b990a1 
>   ql/src/test/results/clientpositive/groupby_grouping_sets_grouping.q.out 
> 1f2f86b 
>   ql/src/test/results/clientpositive/groupby_grouping_sets_limit.q.out 
> b25b0e5 
>   ql/src/test/results/clientpositive/groupby_grouping_window.q.out 32135e4 
>   ql/src/test/results/clientpositive/groupby_rollup1.q.out bc1d8a9 
>   ql/src/test/results/clientpositive/groupby_rollup_empty.q.out 5db3184 
>   ql/src/test/results/clientpositive/groupingset_high_columns.q.out 
> PRE-CREATION 
>   
> ql/src/test/results/clientpositive/infer_bucket_sort_grouping_operators.q.out 
> 5f1d264 
>   ql/src/test/results/clientpositive/limit_pushdown2.q.out cdd221b 
>   ql/src/test/results/clientpositive/llap/cte_1.q.out ddef9db 
>   ql/src/test/results/clientpositive/llap/groupby_rollup_empty.q.out 061b0d7 
>   
> ql/src/test/results/clientpositive/llap/insert_values_orig_table_use_metadata.q.out
>  d135f08 
>   ql/src/test/results/clientpositive/llap/llap_acid.q.out 38889b9 
>   ql/src/test/results/clientpositive/llap/llap_acid_fast.q.out 4a7297d 
>   ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out 
> 39feaec 
>   ql/src/test/results/clientpositive/llap/sysdb.q.out 3bd407b 
>   ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out 39de888 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out 
> 7224d59 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out 
> e6075c7 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id3.q.out 
> da4b81f 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets1.q.out 
> d2b738b 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets2.q.out 
> 1877bba 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets3.q.out 
> 7c9f668 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets4.q.out 
> 6a5e679 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets5.q.out 
> 4d8fa16 
>   ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets6.q.out 
> 5e9e204 
>   
> ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_grouping.q.out
>  b81a0d3 
>   
> ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_limit.q.out
>  e8ca06e 
>   
> ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out 
> 4de6ebb 
>   ql/src/test/results/clientpositive/llap/vector_groupby_rollup1.q.out 
> d1263cd 
>   ql/src/test/results/clientpositive/perf/spark/query18.q.out 88d289c 
>   ql/src/test/results/clientpositive/perf/spark/query22.q.out 15fe441 
>   ql/src/test/results/clientpositive/perf/spark/query27.q.out 627821f 
>   ql/src/test/results/clientpositive/perf/spark/query36.q.out d313337 
>   ql/src/test/results/clientpositive/perf/spark/query5.q.out 14e0bdb 
>   ql/src/test/results/clientpositive/perf/spark/query67.q.out 25d37bd 
>   ql/src/test/results/clientpositive/perf/spark/query70.q.out 862bdb0 
>   ql/src/test/results/clientpositive/perf/spark/query77.q.out 6dcaf7c 
>   ql/src/test/results/clientpositive/perf/spark/query80.q.out 606d23c 
>   ql/src/test/results/clientpositive/perf/spark/query86.q.out 8e159fd 
>   ql/src/test/results/clientpositive/spark/groupby_cube1.q.out fa1480e 
>   ql/src/test/results/clientpositive/spark/groupby_rollup1.q.out 460e7db 
>   ql/src/test/results/clientpositive/spark/limit_pushdown2.q.out f6f0043 
>   ql/src/test/results/clientpositive/tez/multi_count_distinct.q.out 7f7d354 
>   ql/src/test/results/clientpositive/vector_grouping_sets.q.out f08c270 
>   ql/src/test/results/clientpositive/view_cbo.q.out e10cb7a 
> 
> 
> Diff: https://reviews.apache.org/r/64900/diff/2/
> 
> 
> Testing
> -------
> 
> 
> Thanks,
> 
> Prasanth_J
> 
>

Reply via email to