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ef48f65e76
This is the first set of changes required to start getting our functional test infrastructure moved from JUnit to Python. After investigating a number of option, I decided to go with a python test executor named py.test (http://pytest.org/). It is very flexible, open source (MIT licensed), and will enable us to do some cool things like parallel test execution. As part of this change, we now use our "test vectors" for query test execution. This will be very nice because it means if load the "core" dataset you know you will be able to run the "core" query tests (specified by --exploration_strategy when running the tests). You will see that now each combination of table format + query exec options is treated like an individual test case. this will make it much easier to debug exactly where something failed. These new tests can be run using the script at tests/run-tests.sh
206 lines
5.2 KiB
Plaintext
206 lines
5.2 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$TABLE
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---- TYPES
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bigint
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---- RESULTS
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100
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====
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---- QUERY
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select count(distinct bool_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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2
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====
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---- QUERY
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select count(distinct int_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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1000
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====
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---- QUERY
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select count(distinct float_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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1000
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====
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---- QUERY
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select count(distinct double_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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1000
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====
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---- QUERY
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select count(distinct string_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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1000
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====
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---- QUERY
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select count(distinct string_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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1000
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====
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---- QUERY
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select count(distinct timestamp_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint
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---- RESULTS
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10000
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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$TABLE group by 1
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---- TYPES
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tinyint, bigint, bigint
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---- RESULTS
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1,10,1000
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2,10,1000
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3,10,1000
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4,10,1000
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5,10,1000
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6,10,1000
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7,10,1000
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8,10,1000
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9,10,1000
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NULL,10,900
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====
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---- QUERY
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# count(distinct) w/ grouping and non-distinct count()
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select tinyint_col, count(distinct int_col, smallint_col), count(smallint_col)
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from alltypesagg$TABLE group by 1
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---- TYPES
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tinyint, bigint, bigint
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---- RESULTS
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1,100,1000
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2,100,1000
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3,100,1000
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4,100,1000
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5,100,1000
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6,100,1000
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7,100,1000
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8,100,1000
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9,100,1000
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NULL,100,900
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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$TABLE group by 1
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---- TYPES
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tinyint, bigint, bigint, bigint
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---- RESULTS
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1,10,460,1000
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2,10,470,1000
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3,10,480,1000
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4,10,490,1000
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5,10,500,1000
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6,10,510,1000
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7,10,520,1000
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8,10,530,1000
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9,10,540,1000
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NULL,10,450,900
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====
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---- QUERY
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# count(distinct) and sum(distinct) w/ grouping; distinct in min() and max()
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# ignored
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select tinyint_col, count(distinct smallint_col), sum(distinct smallint_col),
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count(smallint_col), min(distinct int_col), max(distinct float_col)
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from alltypesagg$TABLE group by 1
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---- TYPES
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tinyint, bigint, bigint, bigint, int, float
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---- RESULTS
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1,10,460,1000,1,1090.099975585938
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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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4,10,490,1000,4,1093.400024414062
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5,10,500,1000,5,1094.5
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6,10,510,1000,6,1095.599975585938
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7,10,520,1000,7,1096.699951171875
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8,10,530,1000,8,1097.800048828125
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9,10,540,1000,9,1098.900024414062
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NULL,10,450,900,10,1089
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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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---- TYPES
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bigint
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---- RESULTS
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100
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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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---- TYPES
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bigint
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---- RESULTS
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100
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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$TABLE
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where id < 20
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---- TYPES
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int, int, int, int, boolean, tinyint, smallint, int, bigint, float, double, string, string, timestamp
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---- RESULTS
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2010,1,1,0,true,NULL,NULL,NULL,NULL,NULL,NULL,'01/01/10','0',2010-01-01 00:00:00
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2010,1,1,1,false,1,1,1,10,1.100000023841858,10.1,'01/01/10','1',2010-01-01 00:01:00
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2010,1,1,10,true,NULL,10,10,100,11,101,'01/01/10','10',2010-01-01 00:10:00.450000000
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2010,1,1,11,false,1,11,11,110,12.10000038146973,111.1,'01/01/10','11',2010-01-01 00:11:00.550000000
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2010,1,1,12,true,2,12,12,120,13.19999980926514,121.2,'01/01/10','12',2010-01-01 00:12:00.660000000
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2010,1,1,13,false,3,13,13,130,14.30000019073486,131.3,'01/01/10','13',2010-01-01 00:13:00.780000000
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2010,1,1,14,true,4,14,14,140,15.39999961853027,141.4,'01/01/10','14',2010-01-01 00:14:00.910000000
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2010,1,1,15,false,5,15,15,150,16.5,151.5,'01/01/10','15',2010-01-01 00:15:01.500000000
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2010,1,1,16,true,6,16,16,160,17.60000038146973,161.6,'01/01/10','16',2010-01-01 00:16:01.200000000
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2010,1,1,17,false,7,17,17,170,18.70000076293945,171.7,'01/01/10','17',2010-01-01 00:17:01.360000000
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2010,1,1,18,true,8,18,18,180,19.79999923706055,181.8,'01/01/10','18',2010-01-01 00:18:01.530000000
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2010,1,1,19,false,9,19,19,190,20.89999961853027,191.9,'01/01/10','19',2010-01-01 00:19:01.710000000
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2010,1,1,2,true,2,2,2,20,2.200000047683716,20.2,'01/01/10','2',2010-01-01 00:02:00.100000000
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2010,1,1,3,false,3,3,3,30,3.299999952316284,30.3,'01/01/10','3',2010-01-01 00:03:00.300000000
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2010,1,1,4,true,4,4,4,40,4.400000095367432,40.4,'01/01/10','4',2010-01-01 00:04:00.600000000
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2010,1,1,5,false,5,5,5,50,5.5,50.5,'01/01/10','5',2010-01-01 00:05:00.100000000
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2010,1,1,6,true,6,6,6,60,6.599999904632568,60.6,'01/01/10','6',2010-01-01 00:06:00.150000000
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2010,1,1,7,false,7,7,7,70,7.699999809265137,70.7,'01/01/10','7',2010-01-01 00:07:00.210000000
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2010,1,1,8,true,8,8,8,80,8.800000190734863,80.8,'01/01/10','8',2010-01-01 00:08:00.280000000
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2010,1,1,9,false,9,9,9,90,9.899999618530273,90.90000000000001,'01/01/10','9',2010-01-01 00:09:00.360000000
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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$TABLE
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---- TYPES
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boolean, tinyint
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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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====
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