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d05f73f415
I used some ideas from Alex Leblang's abandoned patch: https://gerrit.cloudera.org/#/c/137/ in order to run .test files through HS2. The advantage of using Impyla is that much of the code will be reusable for any Python client implementing the standard Python dbapi and does not require us implementing yet another thrift client. This gives us better coverage of non-trivial result sets from HS2, including handling of NULLs, error logs and more interesting result sets than the basic HS2 tests. I added HS2 coverage to TestQueries, which has a reasonable variety of queries and covers the data types in alltypes. I also added TestDecimalQueries, TestStringQuery and TestCharFormats to get coverage of DECIMAL, CHAR and VARCHAR that aren't in alltypes. Coverage of results sets with NULLs was limited so I added a couple of queries. Places where results differ from Beeswax: * Impyla is a Python dbapi client so must convert timestamps into python datetime objects, which only have microsecond precision. Therefore result timestamps within nanosecond precision are truncated. * The HS2 interface reports the NULL type as BOOLEAN as a workaround for IMPALA-914. * The Beeswax interface reported VARCHAR as STRING, but HS2 reports VARCHAR. I dealt with different results by adding additional result sections so that the expected differences between the clients/protocols were explicit. Limitations: * Not all of the same methods are implemented as for beeswax, so some tests that have more complicated interactions with the client will not work with HS2 yet. * We don't have a way to get the affected row count for inserts. I also simplified the ImpalaConnection API by removing some unnecessary methods and moved some generic methods to the base class. Testing: * Confirmed that it detected IMPALA-7588 by re-applying the buggy patch. * Ran exhaustive and CentOS6 tests. Change-Id: I9908ccc4d3df50365be8043b883cacafca52661e Reviewed-on: http://gerrit.cloudera.org:8080/11546 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
527 lines
13 KiB
Plaintext
527 lines
13 KiB
Plaintext
====
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---- QUERY
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# join between three tables, extra join predicates, extra scan predicates, nulls in joins
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# cols
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# (alltypesagg.tinyint_col contains nulls instead of 0s)
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select x.smallint_col, x.id, x.tinyint_col, c.id, x.int_col, x.float_col, c.string_col
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from (
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select a.smallint_col smallint_col, a.tinyint_col tinyint_col, a.day day,
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a.int_col int_col, a.month month,
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b.float_col float_col, b.id id
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from (
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select *
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from alltypesagg a
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where month=1
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) a
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join alltypessmall b
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on (a.smallint_col = b.id)
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) x
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join alltypessmall c on (x.tinyint_col = c.id)
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where x.day=1
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and x.int_col > 899
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and x.float_col > 4.5
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and c.string_col < '7'
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and x.int_col + x.float_col + cast(c.string_col as float) < 1000
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---- RESULTS
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15,15,5,5,915,5.5,'5'
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16,16,6,6,916,6.599999904632568,'6'
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31,31,1,1,931,6.599999904632568,'1'
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32,32,2,2,932,7.699999809265137,'2'
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33,33,3,3,933,8.800000190734863,'3'
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34,34,4,4,934,9.899999618530273,'4'
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41,41,1,1,941,6.599999904632568,'1'
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42,42,2,2,942,7.699999809265137,'2'
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43,43,3,3,943,8.800000190734863,'3'
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44,44,4,4,944,9.899999618530273,'4'
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5,5,5,5,905,5.5,'5'
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55,55,5,5,955,5.5,'5'
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56,56,6,6,956,6.599999904632568,'6'
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6,6,6,6,906,6.599999904632568,'6'
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65,65,5,5,965,5.5,'5'
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66,66,6,6,966,6.599999904632568,'6'
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81,81,1,1,981,6.599999904632568,'1'
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82,82,2,2,982,7.699999809265137,'2'
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83,83,3,3,983,8.800000190734863,'3'
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84,84,4,4,984,9.899999618530273,'4'
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91,91,1,1,991,6.599999904632568,'1'
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---- TYPES
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smallint, int, tinyint, int, int, float, string
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====
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---- QUERY
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# Same join as above, but subquery on the RHS
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select x.smallint_col, x.id, x.tinyint_col, c.id, x.int_col, x.float_col, c.string_col
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from alltypessmall c
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join
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(
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select a.smallint_col smallint_col, a.tinyint_col tinyint_col, a.day day,
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a.int_col int_col, a.month month,
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b.float_col float_col, b.id id
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from alltypessmall b
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join
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(
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select *
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from alltypesagg a
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where month=1
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) a
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on (a.smallint_col = b.id)
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) x
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on (x.tinyint_col = c.id)
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where x.day=1
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and x.int_col > 899
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and x.float_col > 4.5
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and c.string_col < '7'
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and x.int_col + x.float_col + cast(c.string_col as float) < 1000
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---- RESULTS
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15,15,5,5,915,5.5,'5'
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16,16,6,6,916,6.599999904632568,'6'
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31,31,1,1,931,6.599999904632568,'1'
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32,32,2,2,932,7.699999809265137,'2'
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33,33,3,3,933,8.800000190734863,'3'
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34,34,4,4,934,9.899999618530273,'4'
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41,41,1,1,941,6.599999904632568,'1'
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42,42,2,2,942,7.699999809265137,'2'
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43,43,3,3,943,8.800000190734863,'3'
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44,44,4,4,944,9.899999618530273,'4'
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5,5,5,5,905,5.5,'5'
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55,55,5,5,955,5.5,'5'
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56,56,6,6,956,6.599999904632568,'6'
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6,6,6,6,906,6.599999904632568,'6'
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65,65,5,5,965,5.5,'5'
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66,66,6,6,966,6.599999904632568,'6'
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81,81,1,1,981,6.599999904632568,'1'
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82,82,2,2,982,7.699999809265137,'2'
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83,83,3,3,983,8.800000190734863,'3'
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84,84,4,4,984,9.899999618530273,'4'
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91,91,1,1,991,6.599999904632568,'1'
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---- TYPES
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smallint, int, tinyint, int, int, float, string
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====
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---- QUERY
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# aggregate without group by
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select *
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from (
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select count(*), count(tinyint_col), min(tinyint_col), max(tinyint_col),
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sum(tinyint_col), avg(tinyint_col)
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from (
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select * from alltypesagg
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) a
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) b
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---- RESULTS
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11000,9000,1,9,45000,5
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---- TYPES
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bigint, bigint, tinyint, tinyint, bigint, double
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====
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---- QUERY
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# aggregate with group-by, having
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select *
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from (
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select int_col % 7 c1, count(*) c2, avg(int_col) c3
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from (
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select * from alltypesagg where day is not null
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) a
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group by 1
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having avg(int_col) > 500 or count(*) = 10
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) b
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where c1 is not null
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and c2 > 10
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---- RESULTS
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4,1430,501
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5,1430,502
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0,1420,500.5
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---- TYPES
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int, bigint, double
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====
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---- QUERY
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# subquery with aggregation and order by/limit, as left-hand side of join;
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# having clause in subquery is transfered to merge agg step in distrib plan
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select *
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from (
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select int_col, count(*)
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from alltypessmall
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where month = 1
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group by int_col
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having count(*) > 2
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order by count(*) desc, int_col limit 5
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) t1
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join alltypes t2 on (t1.int_col = t2.id)
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where month = 1
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---- RESULTS
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0,3,0,true,0,0,0,0,0,0,'01/01/09','0',2009-01-01 00:00:00,2009,1
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1,3,1,false,1,1,1,10,1.100000023841858,10.1,'01/01/09','1',2009-01-01 00:01:00,2009,1
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2,3,2,true,2,2,2,20,2.200000047683716,20.2,'01/01/09','2',2009-01-01 00:02:00.100000000,2009,1
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3,3,3,false,3,3,3,30,3.299999952316284,30.3,'01/01/09','3',2009-01-01 00:03:00.300000000,2009,1
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4,3,4,true,4,4,4,40,4.400000095367432,40.4,'01/01/09','4',2009-01-01 00:04:00.600000000,2009,1
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---- DBAPI_RESULTS
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0,3,0,true,0,0,0,0,0,0,'01/01/09','0',2009-01-01 00:00:00,2009,1
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1,3,1,false,1,1,1,10,1.100000023841858,10.1,'01/01/09','1',2009-01-01 00:01:00,2009,1
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2,3,2,true,2,2,2,20,2.200000047683716,20.2,'01/01/09','2',2009-01-01 00:02:00.100000,2009,1
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3,3,3,false,3,3,3,30,3.299999952316284,30.3,'01/01/09','3',2009-01-01 00:03:00.300000,2009,1
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4,3,4,true,4,4,4,40,4.400000095367432,40.4,'01/01/09','4',2009-01-01 00:04:00.600000,2009,1
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---- TYPES
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int, bigint, int, boolean, tinyint, smallint, int, bigint, float, double, string, string, timestamp, int, int
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====
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---- QUERY
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select distinct *
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from (
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select bool_col, tinyint_col, count(*)
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from alltypesagg
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group by bool_col, tinyint_col
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having bool_col = true
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) x
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where tinyint_col < 6
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---- RESULTS
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true,2,1000
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true,4,1000
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---- TYPES
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boolean, tinyint, bigint
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====
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---- QUERY
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# distinct w/ explicit select list
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select *
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from (
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select distinct bool_col, tinyint_col
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from (
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select * from alltypesagg where tinyint_col < 7
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) y
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) x
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where bool_col = true
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---- RESULTS
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true,2
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true,4
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true,6
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---- TYPES
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boolean, tinyint
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====
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---- QUERY
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# semi-join on string
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select *
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from (
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select d.*
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from DimTbl d left semi join JoinTbl j on (j.test_name = d.name)
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) x
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where x.name > 'Name1'
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---- RESULTS
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1002,'Name2',94611
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1003,'Name3',94612
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1004,'Name4',94612
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1005,'Name5',94613
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1006,'Name6',94613
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---- TYPES
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bigint, string, int
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====
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---- QUERY
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select j.*, d.*
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from (
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select *
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from JoinTbl a
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) j
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left outer join
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(
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select *
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from DimTbl b
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) d
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on (j.test_name = d.name)
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where j.test_id <= 1006
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---- RESULTS
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1001,'Name1',94611,5000,1001,'Name1',94611
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1002,'Name2',94611,5000,1002,'Name2',94611
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1003,'Name3',94611,5000,1003,'Name3',94612
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1004,'Name4',94611,5000,1004,'Name4',94612
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1005,'Name5',94611,5000,1005,'Name5',94613
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1006,'Name16',94612,15000,NULL,'NULL',NULL
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1006,'Name16',94612,5000,NULL,'NULL',NULL
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1006,'Name16',94616,15000,NULL,'NULL',NULL
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1006,'Name16',94616,5000,NULL,'NULL',NULL
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1006,'Name6',94616,15000,1006,'Name6',94613
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1006,'Name6',94616,5000,1006,'Name6',94613
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---- TYPES
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bigint, string, int, int, bigint, string, int
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====
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---- QUERY
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# TODO: If we apply predicate on d, the result will be incorrect. This is a general
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# predicate evaluation issue.
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#
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select j.*, d.*
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from (
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select *
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from JoinTbl a
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) j
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left outer join
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(
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select *
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from DimTbl b
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) d
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on (j.test_name = d.name)
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where j.test_id <= 1006
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---- RESULTS
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1001,'Name1',94611,5000,1001,'Name1',94611
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1002,'Name2',94611,5000,1002,'Name2',94611
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1003,'Name3',94611,5000,1003,'Name3',94612
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1004,'Name4',94611,5000,1004,'Name4',94612
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1005,'Name5',94611,5000,1005,'Name5',94613
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1006,'Name16',94612,15000,NULL,'NULL',NULL
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1006,'Name16',94612,5000,NULL,'NULL',NULL
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1006,'Name16',94616,15000,NULL,'NULL',NULL
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1006,'Name16',94616,5000,NULL,'NULL',NULL
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1006,'Name6',94616,15000,1006,'Name6',94613
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1006,'Name6',94616,5000,1006,'Name6',94613
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---- TYPES
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bigint, string, int, int, bigint, string, int
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====
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---- QUERY
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# Constant selects in subqueries
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select * from (select 1, 2) x
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---- RESULTS
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1,2
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---- TYPES
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tinyint, tinyint
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====
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---- QUERY
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# Constant selects in subqueries
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select * from (select y from (select 1 y) a where y < 10) b
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---- RESULTS
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1
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---- TYPES
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tinyint
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====
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---- QUERY
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# Constant selects in subqueries
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select * from (select 1 union all select 2 union all select * from (select 3) y) x
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---- RESULTS
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1
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2
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3
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---- TYPES
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tinyint
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====
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---- QUERY
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# Join on inline views made up of unions of constant selects
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select * from
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(select 1 a, 2 b union all select 1 a, 2 b) x
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inner join
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(select 1 a, 3 b union all select 1 a, 2 b) y on x.a = y.a
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inner join
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(select 1 a, 3 b union all select 1 a, 3 b) z on z.b = y.b
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---- RESULTS
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1,2,1,3,1,3
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1,2,1,3,1,3
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1,2,1,3,1,3
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1,2,1,3,1,3
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---- TYPES
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tinyint, tinyint, tinyint, tinyint, tinyint, tinyint
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====
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---- QUERY
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# Semi and inner join on a table and on inline views made up of constant selects
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select x.date_string_col, z.* from functional.alltypessmall x
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left semi join
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(select 1 a, 3 b union all select 1 a, 3 b) y on y.a = x.id
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inner join
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(select 1 a, 3 b union all select 1 a, 3 b) z on z.b = x.id + 2
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---- RESULTS
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'01/01/09',1,3
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'01/01/09',1,3
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---- TYPES
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string, tinyint, tinyint
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====
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---- QUERY
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# Values statement in subqueries
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select * from (values(1, 2), (3, 4)) x
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---- RESULTS
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1,2
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3,4
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---- TYPES
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TINYINT, TINYINT
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====
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---- QUERY
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# Values statement in subqueries
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select * from (select y from (values(1 as y), (11)) a where y < 10) b
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---- RESULTS
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1
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---- TYPES
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TINYINT
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====
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---- QUERY
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# Values statement in subqueries with union
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select * from (values(1), (2) union all select * from (values(3)) y) x
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---- RESULTS
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1
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2
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3
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---- TYPES
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TINYINT
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====
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---- QUERY
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# Join on inline views made up of values statements
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select * from
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(values(1 a, 2 b), (1, 2)) x
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inner join
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(values(1 a, 3 b), (1, 2)) y on x.a = y.a
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inner join
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(values(1 a, 3 b), (1, 3)) z on z.b = y.b
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---- RESULTS
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1,2,1,3,1,3
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1,2,1,3,1,3
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1,2,1,3,1,3
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1,2,1,3,1,3
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---- TYPES
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TINYINT, TINYINT, TINYINT, TINYINT, TINYINT, TINYINT
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====
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---- QUERY
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# Semi and inner join on a table and on inline views made up of values statements
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select x.date_string_col, z.* from functional.alltypessmall x
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left semi join
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(values(1 a, 3 b), (1, 3)) y on y.a = x.id
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inner join
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(values(1 a, 3 b), (1, 3)) z on z.b = x.id + 2
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---- RESULTS
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'01/01/09',1,3
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'01/01/09',1,3
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---- TYPES
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STRING, TINYINT, TINYINT
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====
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---- QUERY
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# Select constant with unreferenced aggregate in subquery
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select 1 from (select count(*) from functional.alltypessmall) x
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---- RESULTS
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1
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---- TYPES
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tinyint
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====
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---- QUERY
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# Select constant with unreferenced distinct aggregate in subquery
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select 1 from (select count(distinct tinyint_col) from functional.alltypessmall) x
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---- RESULTS
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1
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---- TYPES
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tinyint
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====
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---- QUERY
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# Select aggregate from unreferenced aggregate in subquery
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select count(*) from (select count(*) from functional.alltypessmall) x
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---- RESULTS
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1
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---- TYPES
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bigint
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====
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---- QUERY
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# Select * from aggregate in subquery
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select * from (select count(*) from functional.alltypessmall) x
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---- RESULTS
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100
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---- TYPES
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bigint
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====
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---- QUERY
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# Select from aliased aggregate in subquery
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select c from (select count(*) c from functional.alltypessmall) x
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---- RESULTS
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100
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---- TYPES
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bigint
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====
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---- QUERY
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# Select aggregate from aliased aggregate in subquery
|
|
select count(c) from (select count(*) c from functional.alltypessmall) x
|
|
---- RESULTS
|
|
1
|
|
---- TYPES
|
|
bigint
|
|
====
|
|
---- QUERY
|
|
# Select aggregate from aggregate of basetable column in subquery
|
|
select count(1) from (select count(tinyint_col) from functional.alltypessmall) x
|
|
---- RESULTS
|
|
1
|
|
---- TYPES
|
|
bigint
|
|
====
|
|
---- QUERY
|
|
# Select aggregate from aggregate in subquery with group by
|
|
select count(1) from
|
|
(select count(*) from functional.alltypessmall group by tinyint_col) x
|
|
---- RESULTS
|
|
10
|
|
---- TYPES
|
|
bigint
|
|
====
|
|
---- QUERY
|
|
# Regression test for IMPALA-812
|
|
select bool_col, count(*) from
|
|
(select bool_col FROM ( SELECT bool_col FROM alltypessmall t ) t WHERE bool_col ) t
|
|
group by 1
|
|
---- RESULTS
|
|
true,50
|
|
---- TYPES
|
|
boolean, bigint
|
|
====
|
|
---- QUERY
|
|
# Test that tuple ids from semi-joined table refs are not added in an
|
|
# IsNullPredicate expr; inline view with left semi join between a base table
|
|
# and an inline view (IMPALA-1526)
|
|
select t1.int_col
|
|
from alltypestiny t1 left join
|
|
(select coalesce(t1.year, 384) as int_col
|
|
from alltypesagg t1
|
|
where t1.bigint_col in
|
|
(select day as int_col from alltypesagg where t1.id = day)) t2
|
|
on t2.int_col = t1.month
|
|
where t1.month is not null
|
|
---- RESULTS: VERIFY_IS_EQUAL_SORTED
|
|
0
|
|
1
|
|
0
|
|
1
|
|
0
|
|
1
|
|
0
|
|
1
|
|
---- TYPES
|
|
INT
|
|
====
|
|
---- QUERY
|
|
# Test that tuple ids from semi-joined table refs are not added in
|
|
# an IsNullPredicate expr; inline view with right semi join between
|
|
# two inline views (IMPALA-1526)
|
|
select distinct t1.int_col
|
|
from alltypestiny t1 left join
|
|
(select coalesce(t3.int_col, 384) as int_col
|
|
from (select int_col from alltypes) t1
|
|
right semi join (select int_col from alltypesagg) t3 on t1.int_col = t3.int_col) t2
|
|
on t2.int_col = t1.month
|
|
where t1.month is not null
|
|
---- RESULTS: VERIFY_IS_EQUAL_SORTED
|
|
0
|
|
1
|
|
---- TYPES
|
|
INT
|
|
====
|
|
---- QUERY
|
|
# Regression test for IMPALA-1528
|
|
SELECT t2.int_col is NULL FROM alltypesagg t1
|
|
LEFT JOIN (SELECT COALESCE(76, -937, -981) AS int_col FROM alltypestiny) t2
|
|
ON (t2.int_col) = (t1.year) limit 1
|
|
---- RESULTS
|
|
true
|
|
---- TYPES
|
|
boolean
|
|
====
|
|
---- QUERY
|
|
# IMPALA-1987: Equi-join predicates of outer joins contain TupleIsNullPredicate exprs.
|
|
select t1.int_col, t2.int_col, t3.id
|
|
from alltypestiny t1 left outer join
|
|
(select coalesce(int_col, 384) as int_col from alltypestiny) t2
|
|
on t1.int_col = t2.int_col
|
|
left outer join
|
|
(select 0 as id from alltypestiny) t3
|
|
on t1.int_col = t3.id
|
|
order by 1 limit 5
|
|
---- RESULTS
|
|
0,0,0
|
|
0,0,0
|
|
0,0,0
|
|
0,0,0
|
|
0,0,0
|
|
---- TYPES
|
|
INT,INT,TINYINT
|
|
====
|