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6b566a2d35
Test files in testdata/workloads/functional-query/queries/QueryTest
are parsed by test_file_parser.py, which used to ignore everything
before the first ==== line as a file header. This change fixes all
affected files.
This change also modifies the test file parser to forbid headers
starting with what looks like a subsection title ('----'), which
should prevent the reintroduction of similar errors in the future.
Change-Id: Iaa1bc5ffd02782e24289c7843dcb35401c334519
Reviewed-on: http://gerrit.cloudera.org:8080/2220
Reviewed-by: Lars Volker <lv@cloudera.com>
Tested-by: Internal Jenkins
373 lines
9.1 KiB
Plaintext
373 lines
9.1 KiB
Plaintext
====
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---- QUERY
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# count(distinct)
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select count(distinct smallint_col, tinyint_col)
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from alltypesagg
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---- RESULTS
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90
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct bool_col)
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from alltypesagg
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---- RESULTS
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2
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct int_col)
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from alltypesagg
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---- RESULTS
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999
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct float_col)
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from alltypesagg
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---- RESULTS
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999
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct double_col)
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from alltypesagg
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---- RESULTS
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999
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct string_col)
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from alltypesagg
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---- RESULTS
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1000
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct date_string_col)
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from alltypesagg
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---- RESULTS
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10
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---- TYPES
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bigint
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====
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---- QUERY
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select count(distinct timestamp_col)
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from alltypesagg
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---- RESULTS
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10000
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---- TYPES
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bigint
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====
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---- QUERY
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# count(distinct) w/ grouping and non-distinct count()
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select tinyint_col, count(distinct smallint_col), count(smallint_col)
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from alltypesagg group by 1
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---- RESULTS
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2,10,1000
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3,10,1000
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NULL,9,1800
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4,10,1000
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8,10,1000
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5,10,1000
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9,10,1000
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7,10,1000
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1,10,1000
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6,10,1000
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---- TYPES
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tinyint, bigint, bigint
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====
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---- QUERY
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# count(distinct) w/ grouping and non-distinct count()
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select tinyint_col, count(distinct int_col, smallint_col), count(smallint_col)
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from alltypesagg group by 1
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---- RESULTS
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2,100,1000
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3,100,1000
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NULL,90,1800
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4,100,1000
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8,100,1000
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5,100,1000
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9,100,1000
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7,100,1000
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1,100,1000
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6,100,1000
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---- TYPES
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tinyint, bigint, bigint
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====
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---- QUERY
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# count(distinct) and sum(distinct) w/ grouping and non-distinct count()
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select tinyint_col, count(distinct smallint_col), sum(distinct smallint_col),
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count(smallint_col)
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from alltypesagg group by 1
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---- RESULTS
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2,10,470,1000
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3,10,480,1000
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NULL,9,450,1800
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4,10,490,1000
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8,10,530,1000
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5,10,500,1000
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9,10,540,1000
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7,10,520,1000
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1,10,460,1000
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6,10,510,1000
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---- TYPES
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tinyint, bigint, bigint, bigint
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====
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---- QUERY
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# count(distinct) and sum(distinct) w/ grouping; distinct in min() and max()
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# ignored
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select tinyint_col, count(distinct smallint_col), sum(distinct smallint_col),
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count(smallint_col), min(distinct int_col), max(distinct float_col)
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from alltypesagg group by 1
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---- RESULTS
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2,10,470,1000,2,1091.199951171875
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3,10,480,1000,3,1092.300048828125
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NULL,9,450,1800,10,1089
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4,10,490,1000,4,1093.400024414062
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8,10,530,1000,8,1097.800048828125
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5,10,500,1000,5,1094.5
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9,10,540,1000,9,1098.900024414062
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7,10,520,1000,7,1096.699951171875
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1,10,460,1000,1,1090.099975585938
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6,10,510,1000,6,1095.599975585938
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---- TYPES
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tinyint, bigint, bigint, bigint, int, float
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====
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---- QUERY
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# count distinct order by the same agg expr
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select count(distinct id) as count_id from alltypessmall order by count_id limit 100
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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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# count distinct order by a diff agg expr
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select count(distinct id) as sum_id from alltypessmall order by max(distinct id)
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limit 100
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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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# distinct *
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select distinct *
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from alltypesagg
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where id < 20
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---- RESULTS
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6,true,6,6,6,60,6.599999904632568,60.59999999999999,'01/01/10','6',2010-01-01 00:06:00.150000000,2010,1,1
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14,true,4,14,14,140,15.39999961853027,141.4,'01/01/10','14',2010-01-01 00:14:00.910000000,2010,1,1
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18,true,8,18,18,180,19.79999923706055,181.8,'01/01/10','18',2010-01-01 00:18:01.530000000,2010,1,1
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19,false,9,19,19,190,20.89999961853027,191.9,'01/01/10','19',2010-01-01 00:19:01.710000000,2010,1,1
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1,false,1,1,1,10,1.100000023841858,10.1,'01/01/10','1',2010-01-01 00:01:00,2010,1,1
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2,true,2,2,2,20,2.200000047683716,20.2,'01/01/10','2',2010-01-01 00:02:00.100000000,2010,1,1
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0,true,NULL,NULL,NULL,NULL,NULL,NULL,'01/01/10','0',2010-01-01 00:00:00,2010,1,1
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7,false,7,7,7,70,7.699999809265137,70.7,'01/01/10','7',2010-01-01 00:07:00.210000000,2010,1,1
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9,false,9,9,9,90,9.899999618530273,90.89999999999999,'01/01/10','9',2010-01-01 00:09:00.360000000,2010,1,1
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11,false,1,11,11,110,12.10000038146973,111.1,'01/01/10','11',2010-01-01 00:11:00.550000000,2010,1,1
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3,false,3,3,3,30,3.299999952316284,30.3,'01/01/10','3',2010-01-01 00:03:00.300000000,2010,1,1
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15,false,5,15,15,150,16.5,151.5,'01/01/10','15',2010-01-01 00:15:01.500000000,2010,1,1
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10,true,NULL,10,10,100,11,101,'01/01/10','10',2010-01-01 00:10:00.450000000,2010,1,1
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17,false,7,17,17,170,18.70000076293945,171.7,'01/01/10','17',2010-01-01 00:17:01.360000000,2010,1,1
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5,false,5,5,5,50,5.5,50.5,'01/01/10','5',2010-01-01 00:05:00.100000000,2010,1,1
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10,true,NULL,10,10,100,11,101,'01/01/10','10',2010-01-01 00:10:00.450000000,2010,1,NULL
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8,true,8,8,8,80,8.800000190734863,80.8,'01/01/10','8',2010-01-01 00:08:00.280000000,2010,1,1
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13,false,3,13,13,130,14.30000019073486,131.3,'01/01/10','13',2010-01-01 00:13:00.780000000,2010,1,1
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12,true,2,12,12,120,13.19999980926514,121.2,'01/01/10','12',2010-01-01 00:12:00.660000000,2010,1,1
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16,true,6,16,16,160,17.60000038146973,161.6,'01/01/10','16',2010-01-01 00:16:01.200000000,2010,1,1
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4,true,4,4,4,40,4.400000095367432,40.4,'01/01/10','4',2010-01-01 00:04:00.600000000,2010,1,1
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0,true,NULL,NULL,NULL,NULL,NULL,NULL,'01/01/10','0',2010-01-01 00:00:00,2010,1,NULL
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---- TYPES
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int, boolean, tinyint, smallint, int, bigint, float, double, string, string, timestamp, int, int, int
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====
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---- QUERY
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# distinct w/ explicit select list
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select distinct bool_col, tinyint_col
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from alltypesagg
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---- RESULTS
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false,1
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false,3
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false,5
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false,7
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false,9
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true,2
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true,4
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true,6
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true,8
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true,NULL
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---- TYPES
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boolean, tinyint
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====
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---- QUERY
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# test count distinct with nulls w/o groupby
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select count(distinct NULL) from alltypesagg
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---- RESULTS
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0
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---- TYPES
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bigint
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====
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---- QUERY
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# test count distinct with nulls w/o groupby
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select count(distinct int_col, NULL) from alltypesagg
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---- RESULTS
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0
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---- TYPES
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bigint
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====
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---- QUERY
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# test count distinct with nulls and groupby
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select tinyint_col, count(distinct NULL) from alltypesagg group by tinyint_col
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order by tinyint_col limit 10
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---- RESULTS
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1,0
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2,0
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3,0
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4,0
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5,0
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6,0
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7,0
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8,0
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9,0
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NULL,0
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---- TYPES
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tinyint, bigint
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====
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---- QUERY
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select tinyint_col, count(distinct int_col, NULL) from alltypesagg group by tinyint_col
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order by tinyint_col limit 10
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---- RESULTS
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1,0
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2,0
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3,0
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4,0
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5,0
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6,0
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7,0
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8,0
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9,0
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NULL,0
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---- TYPES
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tinyint, bigint
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====
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---- QUERY
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# make sure we still return the NULL group even though NULLs are not added to COUNT
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select tinyint_col, count(distinct tinyint_col, NULL) from alltypesagg group by tinyint_col
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order by tinyint_col limit 10
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---- RESULTS
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1,0
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2,0
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3,0
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4,0
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5,0
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6,0
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7,0
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8,0
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9,0
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NULL,0
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---- TYPES
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tinyint, bigint
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====
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---- QUERY
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# test join on inline views containing distinct aggregates to make sure
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# the aggregation info reports the correct tuple ids (from the 2nd phase
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# distinct aggregation) for the inline-view expression substitution
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select t1.c, t2.c from
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(select count(distinct int_col) as c from functional.alltypestiny) t1 inner join
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(select count(distinct bigint_col) as c from functional.alltypestiny) t2 on (t1.c = t2.c)
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---- RESULTS
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2,2
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---- TYPES
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bigint, bigint
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====
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---- QUERY
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# Test distinct + non-distinct aggregates without group by and having clause (IMPALA-845)
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# alltypessmall has 100 non-null values for bigint_col, expect a single result
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select count(distinct tinyint_col) from functional.alltypessmall
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having count(bigint_col) > 99
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---- RESULTS
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10
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---- TYPES
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bigint
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====
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---- QUERY
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# Test distinct + non-distinct aggregates without group by and having clause (IMPALA-845)
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# alltypessmall has 100 non-null values for bigint_col, expect an empty result
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select count(distinct tinyint_col) from functional.alltypessmall
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having count(bigint_col) > 100
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---- RESULTS
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---- TYPES
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bigint
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====
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---- QUERY
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# Regression test for COUNT(ALL ) with no group-by and other distinct agg. IMPALA-862
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select count(*), COUNT(distinct 1) from alltypesagg where false
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---- RESULTS
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0,0
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---- TYPES
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bigint, bigint
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====
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---- QUERY
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# Regression test for COUNT(ALL ) with no group-by and other distinct agg. IMPALA-862
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select count(tinyint_col), sum(distinct int_col) from alltypesagg
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---- RESULTS
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9000,499500
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---- TYPES
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bigint, bigint
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====
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---- QUERY
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# Regression test for COUNT(ALL ) with no group-by and other distinct agg. IMPALA-862
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select count(*), COUNT(distinct 1) from alltypesagg
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---- RESULTS
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11000,1
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---- TYPES
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bigint, bigint
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====
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---- QUERY
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# Test distinct + non-distinct aggregation with intermediate tuples (IMPALA-1247).
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select avg(int_col), count(int_col), avg(distinct bigint_col)
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from functional.alltypes
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---- RESULTS
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4.5,7300,45
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---- TYPES
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double, bigint, double
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====
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---- QUERY
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# Test distinct + non-distinct aggregation with intermediate tuples (IMPALA-1247).
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select bool_col, avg(int_col), count(int_col), avg(distinct bigint_col)
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from functional.alltypes
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group by bool_col
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order by bool_col
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---- RESULTS
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false,5,3650,50
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true,4,3650,40
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---- TYPES
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boolean, double, bigint, double
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====
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---- QUERY
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# Test rewriting count(distinct) into NDV() via a query option.
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set appx_count_distinct=true;
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select count(distinct int_col), count(distinct float_col), count(distinct string_col)
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from alltypesagg
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---- RESULTS
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957,1016,963
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---- TYPES
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bigint, bigint, bigint
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====
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---- QUERY
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# Large (more than 1 regular batches) distinct with multiple group by keys.
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SELECT COUNT(*) FROM
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(SELECT COUNT(DISTINCT p_partkey)
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FROM tpch_parquet.part GROUP BY p_brand, p_type, p_size) v
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---- RESULTS
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123039
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---- TYPES
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bigint
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====
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