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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
736 lines
16 KiB
Plaintext
736 lines
16 KiB
Plaintext
====
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---- QUERY
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## Test the distinctpcsa aggregate function on all col types with group by
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#select
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# tinyint_col,
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# distinctpcsa(id),
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# distinctpcsa(bool_col),
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# distinctpcsa(smallint_col),
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# distinctpcsa(int_col),
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# distinctpcsa(bigint_col),
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# distinctpcsa(float_col),
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# distinctpcsa(double_col),
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# distinctpcsa(string_col),
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# distinctpcsa(timestamp_col)
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#from alltypesagg
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#group by tinyint_col
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#order by tinyint_col
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#limit 100
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#---- TYPES
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#tinyint, string, string, string, string, string, string, string, string, string
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#---- RESULTS
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#1,'1101','82','87','142','136','137','124','117','1149'
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#2,'1162','82','88','137','137','153','134','117','926'
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#3,'1125','82','86','146','153','145','133','117','967'
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#4,'1031','82','87','143','140','134','143','117','1031'
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#5,'1175','82','87','146','140','156','145','117','1009'
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#6,'1077','82','86','146','146','151','139','117','988'
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#7,'1213','82','88','146','148','139','148','117','1101'
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#8,'1137','82','87','145','139','156','133','117','1077'
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#9,'998','82','87','140','143','148','130','117','1101'
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#NULL,'1162','82','87','151','136','146','140','117','1031'
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#====
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#---- QUERY
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## Test the distinctpcsa aggregate function on all col types without group by
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#select
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# distinctpcsa(id),
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# distinctpcsa(bool_col),
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# distinctpcsa(tinyint_col),
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# distinctpcsa(smallint_col),
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# distinctpcsa(int_col),
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# distinctpcsa(bigint_col),
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# distinctpcsa(float_col),
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# distinctpcsa(double_col),
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# distinctpcsa(string_col),
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# distinctpcsa(timestamp_col)
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#from alltypesagg
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#---- TYPES
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#string, string, string, string, string, string, string, string, string, string
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#---- RESULTS
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#'3744','82','88','172','1832','1089','1077','1009','988','9817'
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#====
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#---- QUERY
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## Test the distinctpc aggregate function on all col types with group by
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#select
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# tinyint_col,
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# distinctpc(id),
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# distinctpc(bool_col),
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# distinctpc(smallint_col),
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# distinctpc(int_col),
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# distinctpc(bigint_col),
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# distinctpc(float_col),
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# distinctpc(double_col),
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# distinctpc(string_col),
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# distinctpc(timestamp_col)
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#from alltypesagg
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#group by tinyint_col
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#order by tinyint_col
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#limit 100
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#---- TYPES
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#tinyint, string, string, string, string, string, string, string, string, string
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#---- RESULTS
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#1,'1089','1','11','120','70','99','96','82','1125'
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#2,'1043','1','11','105','94','88','92','82','886'
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#3,'1043','1','11','105','107','106','81','82','906'
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#4,'1009','1','9','109','108','103','97','165','977'
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#5,'1009','1','9','109','122','96','123','165','988'
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#6,'977','1','12','101','112','98','119','165','956'
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#7,'977','1','12','101','95','118','99','165','1227'
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#8,'1043','1','8','107','85','100','124','82','1149'
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#9,'1043','1','8','107','88','96','91','82','1125'
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#NULL,'1089','1','6','119','86','119','93','82','998'
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#====
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#---- QUERY
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## Test the distinctpc aggregate function on all col types without group by
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#select
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# distinctpc(id),
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# distinctpc(bool_col),
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# distinctpc(tinyint_col),
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# distinctpc(smallint_col),
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# distinctpc(int_col),
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# distinctpc(bigint_col),
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# distinctpc(float_col),
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# distinctpc(double_col),
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# distinctpc(string_col),
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# distinctpc(timestamp_col)
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#from alltypesagg
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#---- TYPES
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#string, string, string, string, string, string, string, string, string, string
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#---- RESULTS
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#'2647','3','3','122','1323','1295','1101','1031','1077','11930'
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#====
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#---- QUERY
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## Test the distinctpc aggregate function on empty table
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#select distinctpc(field) from EmptyTable
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#---- TYPES
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#string
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#---- RESULTS
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#'0'
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#====
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# no grouping exprs, cols contain nulls except for bool cols
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select count(bool_col), min(bool_col), max(bool_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, boolean, boolean
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---- RESULTS
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10000,false,true
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====
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---- QUERY
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# no grouping exprs, cols contain nulls
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select count(*), count(tinyint_col), min(tinyint_col), max(tinyint_col), sum(tinyint_col),
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avg(tinyint_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, tinyint, tinyint, bigint, double
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---- RESULTS
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10000,9000,1,9,45000,5
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====
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---- QUERY
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select count(*), count(smallint_col), min(smallint_col), max(smallint_col), sum(smallint_col),
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avg(smallint_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, smallint, smallint, bigint, double
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---- RESULTS
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10000,9900,1,99,495000,50
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====
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---- QUERY
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select count(*), count(int_col), min(int_col), max(int_col), sum(int_col), avg(int_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, int, int, bigint, double
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---- RESULTS
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10000,9990,1,999,4995000,500
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====
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---- QUERY
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select count(*), count(bigint_col), min(bigint_col), max(bigint_col), sum(bigint_col),
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avg(bigint_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, bigint, bigint, bigint, double
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---- RESULTS
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10000,9990,10,9990,49950000,5000
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====
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---- QUERY
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select count(*), count(float_col), min(float_col), max(float_col), sum(float_col),
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avg(float_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, float, float, double, double
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---- RESULTS
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10000,9990,1.100000023841858,1098.900024414062,5494499.999767542,549.9999999767309
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====
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---- QUERY
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select count(*), count(double_col), min(double_col), max(double_col), sum(double_col),
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avg(double_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, double, double, double, double
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---- RESULTS
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10000,9990,10.1,10089.9,50449500,5050
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====
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---- QUERY
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select count(*), min(string_col), max(string_col), min(date_string_col),
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max(date_string_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, string, string, string, string
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---- RESULTS
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10000,'0','999','01/01/10','01/10/10'
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#====
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#---- QUERY
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# TODO: figure out why I'm getting a diff on the avg(timestamp_col) expr
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# 2010-01-05 20:47:11.705094575
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#select min(timestamp_col), max(timestamp_col), avg(timestamp_col) from alltypesagg$TABLE
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#---- TYPES
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#timestamp, timestamp, timestamp
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#---- RESULTS
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#2010-01-01 00:00:00,2010-01-10 18:02:05.100000000,2010-01-05 20:47:11.705086469
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====
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---- QUERY
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# grouping by different data types, with NULLs
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select tinyint_col, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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tinyint, bigint
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---- RESULTS
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,1000
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====
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---- QUERY
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# grouping by different data types, with NULLs, grouping expr missing from select list
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select bool_col,min(bool_col),max(bool_col) from alltypesagg$TABLE group by 1
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---- TYPES
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boolean,boolean,boolean
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---- RESULTS
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false,false,false
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true,true,true
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE group by tinyint_col
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---- TYPES
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bigint
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---- RESULTS
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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====
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---- QUERY
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select smallint_col % 10, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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smallint, bigint
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---- RESULTS
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0,900
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,100
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE group by smallint_col % 10
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---- TYPES
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bigint
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---- RESULTS
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100
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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900
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====
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---- QUERY
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select int_col % 10, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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int, bigint
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---- RESULTS
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0,990
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,10
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE group by int_col % 10
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---- TYPES
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bigint
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---- RESULTS
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10
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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1000
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990
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====
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---- QUERY
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select bigint_col % 100, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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bigint, bigint
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---- RESULTS
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0,990
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10,1000
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20,1000
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30,1000
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40,1000
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50,1000
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60,1000
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70,1000
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80,1000
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90,1000
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NULL,10
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE group by bigint_col % 100
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---- TYPES
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bigint
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---- RESULTS
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10
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1000
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|
1000
|
|
1000
|
|
1000
|
|
1000
|
|
1000
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1000
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1000
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1000
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990
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====
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---- QUERY
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select date_string_col, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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string, bigint
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---- RESULTS
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'01/01/10',1000
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'01/02/10',1000
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'01/03/10',1000
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'01/04/10',1000
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'01/05/10',1000
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'01/06/10',1000
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'01/07/10',1000
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'01/08/10',1000
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'01/09/10',1000
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'01/10/10',1000
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE group by date_string_col
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---- TYPES
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bigint
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---- RESULTS
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1000
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1000
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1000
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|
1000
|
|
1000
|
|
1000
|
|
1000
|
|
1000
|
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1000
|
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1000
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====
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---- QUERY
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# grouping by multiple exprs, with nulls
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select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg$TABLE
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where day = 1 group by 1, 2
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---- TYPES
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tinyint, smallint, bigint
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---- RESULTS
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0,0,120
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0,1,90
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0,2,90
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1,0,90
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1,1,120
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1,2,90
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2,0,90
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2,1,90
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2,2,120
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NULL,0,30
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NULL,1,30
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NULL,2,30
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NULL,NULL,10
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====
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---- QUERY
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select count(*) from alltypesagg$TABLE
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where day = 1 group by tinyint_col % 3, smallint_col % 3
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---- TYPES
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bigint
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---- RESULTS
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10
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120
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120
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120
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30
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30
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30
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|
90
|
|
90
|
|
90
|
|
90
|
|
90
|
|
90
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====
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---- QUERY
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# same result as previous query
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select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg$TABLE where day = 1 group by 2, 1
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---- TYPES
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tinyint, smallint, bigint
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---- RESULTS
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0,0,120
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0,1,90
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0,2,90
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1,0,90
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1,1,120
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1,2,90
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2,0,90
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2,1,90
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2,2,120
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NULL,0,30
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NULL,1,30
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NULL,2,30
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NULL,NULL,10
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====
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---- QUERY
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select tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col, count(*)
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from alltypesagg$TABLE
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where date_string_col = '01/01/10' or date_string_col = '01/02/10'
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group by 1, 2, 3, 4, 5
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---- TYPES
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tinyint, smallint, int, bigint, string, bigint
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---- RESULTS
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0,0,0,0,'01/01/10',400
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0,0,0,0,'01/02/10',400
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1,1,1,0,'01/01/10',500
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1,1,1,0,'01/02/10',500
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NULL,0,0,0,'01/01/10',90
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|
NULL,0,0,0,'01/02/10',90
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|
NULL,NULL,0,0,'01/01/10',9
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|
NULL,NULL,0,0,'01/02/10',9
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NULL,NULL,NULL,NULL,'01/01/10',1
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NULL,NULL,NULL,NULL,'01/02/10',1
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====
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---- QUERY
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|
select count(*)
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from alltypesagg$TABLE
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where date_string_col = '01/01/10' or date_string_col = '01/02/10'
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group by tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col
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|
---- TYPES
|
|
bigint
|
|
---- RESULTS
|
|
1
|
|
1
|
|
400
|
|
400
|
|
500
|
|
500
|
|
9
|
|
9
|
|
90
|
|
90
|
|
====
|
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---- QUERY
|
|
# no grouping cols, no matching rows
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select count(*), min(tinyint_col), max(tinyint_col), sum(tinyint_col), avg(tinyint_col)
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|
from alltypesagg$TABLE
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|
where tinyint_col = -1
|
|
---- TYPES
|
|
bigint, tinyint, tinyint, bigint, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
select count(*), min(smallint_col), max(smallint_col), sum(smallint_col), avg(smallint_col)
|
|
from alltypesagg$TABLE
|
|
where smallint_col = -1
|
|
---- TYPES
|
|
bigint, smallint, smallint, bigint, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
select count(*), min(int_col), max(int_col), sum(int_col), avg(int_col)
|
|
from alltypesagg$TABLE
|
|
where int_col = -1
|
|
---- TYPES
|
|
bigint, int, int, bigint, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
select count(*), min(bigint_col), max(bigint_col), sum(bigint_col), avg(bigint_col)
|
|
from alltypesagg$TABLE
|
|
where bigint_col = -1
|
|
---- TYPES
|
|
bigint, bigint, bigint, bigint, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
select count(*), min(float_col), max(float_col), sum(float_col), avg(float_col)
|
|
from alltypesagg$TABLE
|
|
where float_col < -1.0
|
|
---- TYPES
|
|
bigint, float, float, double, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
select count(*), min(double_col), max(double_col), sum(double_col), avg(double_col)
|
|
from alltypesagg$TABLE
|
|
where double_col < -1.0
|
|
---- TYPES
|
|
bigint, double, double, double, double
|
|
---- RESULTS
|
|
0,NULL,NULL,NULL,NULL
|
|
====
|
|
---- QUERY
|
|
# HAVING clauses over all aggregation functions, plus compound HAVING clauses
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select int_col % 7, count(*), max(int_col) from alltypesagg$TABLE group by 1
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---- TYPES
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int, bigint, int
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---- RESULTS
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0,1420,994
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1,1430,995
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2,1430,996
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3,1430,997
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4,1430,998
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5,1430,999
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6,1420,993
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NULL,10,NULL
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====
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---- QUERY
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select int_col % 7, count(*) from alltypesagg$TABLE group by 1 having max(int_col) > 991
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---- TYPES
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int, bigint
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---- RESULTS
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0,1420
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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6,1420
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====
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---- QUERY
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select int_col % 7, count(*) from alltypesagg$TABLE group by 1
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having max(int_col) > 991 and count(*) > 1420
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---- TYPES
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int, bigint
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---- RESULTS
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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====
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---- QUERY
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select int_col % 7, count(*) from alltypesagg$TABLE group by 1
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having min(int_col) < 7
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---- TYPES
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int, bigint
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---- RESULTS
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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6,1420
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====
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---- QUERY
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select int_col % 7, count(*) from alltypesagg$TABLE group by 1
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having min(int_col) < 7 and count(*) > 1420
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---- TYPES
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int, bigint
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---- RESULTS
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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====
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---- QUERY
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select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
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---- TYPES
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int, bigint, bigint
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---- RESULTS
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0,1420,710710
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1,1430,712140
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2,1430,713570
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3,1430,715000
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4,1430,716430
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5,1430,717860
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6,1420,709290
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NULL,10,NULL
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====
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---- QUERY
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select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
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having sum(int_col) >= 715000
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---- TYPES
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int, bigint, bigint
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---- RESULTS
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3,1430,715000
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4,1430,716430
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5,1430,717860
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====
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---- QUERY
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select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
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having sum(int_col) >= 715000 or count(*) > 1420
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---- TYPES
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int, bigint, bigint
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---- RESULTS
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1,1430,712140
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2,1430,713570
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3,1430,715000
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4,1430,716430
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5,1430,717860
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====
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---- QUERY
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select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
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having sum(int_col) is null
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---- TYPES
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int, bigint, bigint
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---- RESULTS
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NULL,10,NULL
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====
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---- QUERY
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select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
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---- TYPES
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int, bigint, double
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---- RESULTS
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0,1420,500.5
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1,1430,498
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2,1430,499
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3,1430,500
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4,1430,501
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5,1430,502
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6,1420,499.5
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NULL,10,NULL
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====
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---- QUERY
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select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
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having avg(int_col) > 500
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---- TYPES
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int, bigint, double
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---- RESULTS
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0,1420,500.5
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4,1430,501
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5,1430,502
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====
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---- QUERY
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select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
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having avg(int_col) > 500 or count(*) = 10
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---- TYPES
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int, bigint, double
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---- RESULTS
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0,1420,500.5
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4,1430,501
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5,1430,502
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NULL,10,NULL
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====
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---- QUERY
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select timestamp_col, count(*) from alltypesagg$TABLE
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group by timestamp_col having timestamp_col < cast('2010-01-01 01:05:20' as timestamp)
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---- TYPES
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timestamp, bigint
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---- RESULTS
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2010-01-01 00:00:00,1
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2010-01-01 00:01:00,1
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2010-01-01 00:02:00.100000000,1
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2010-01-01 00:03:00.300000000,1
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2010-01-01 00:04:00.600000000,1
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2010-01-01 00:05:00.100000000,1
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2010-01-01 00:06:00.150000000,1
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2010-01-01 00:07:00.210000000,1
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2010-01-01 00:08:00.280000000,1
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2010-01-01 00:09:00.360000000,1
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2010-01-01 00:10:00.450000000,1
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2010-01-01 00:11:00.550000000,1
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2010-01-01 00:12:00.660000000,1
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2010-01-01 00:13:00.780000000,1
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2010-01-01 00:14:00.910000000,1
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2010-01-01 00:15:01.500000000,1
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2010-01-01 00:16:01.200000000,1
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2010-01-01 00:17:01.360000000,1
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2010-01-01 00:18:01.530000000,1
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2010-01-01 00:19:01.710000000,1
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2010-01-01 00:20:01.900000000,1
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2010-01-01 00:21:02.100000000,1
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2010-01-01 00:22:02.310000000,1
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2010-01-01 00:23:02.530000000,1
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2010-01-01 00:24:02.760000000,1
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2010-01-01 00:25:03,1
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2010-01-01 00:26:03.250000000,1
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2010-01-01 00:27:03.510000000,1
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2010-01-01 00:28:03.780000000,1
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2010-01-01 00:29:04.600000000,1
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2010-01-01 00:30:04.350000000,1
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2010-01-01 00:31:04.650000000,1
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2010-01-01 00:32:04.960000000,1
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2010-01-01 00:33:05.280000000,1
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2010-01-01 00:34:05.610000000,1
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2010-01-01 00:35:05.950000000,1
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2010-01-01 00:36:06.300000000,1
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2010-01-01 00:37:06.660000000,1
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2010-01-01 00:38:07.300000000,1
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2010-01-01 00:39:07.410000000,1
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2010-01-01 00:40:07.800000000,1
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2010-01-01 00:41:08.200000000,1
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2010-01-01 00:42:08.610000000,1
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2010-01-01 00:43:09.300000000,1
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2010-01-01 00:44:09.460000000,1
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2010-01-01 00:45:09.900000000,1
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2010-01-01 00:46:10.350000000,1
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2010-01-01 00:47:10.810000000,1
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2010-01-01 00:48:11.280000000,1
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2010-01-01 00:49:11.760000000,1
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2010-01-01 00:50:12.250000000,1
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2010-01-01 00:51:12.750000000,1
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2010-01-01 00:52:13.260000000,1
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2010-01-01 00:53:13.780000000,1
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2010-01-01 00:54:14.310000000,1
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2010-01-01 00:55:14.850000000,1
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2010-01-01 00:56:15.400000000,1
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2010-01-01 00:57:15.960000000,1
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2010-01-01 00:58:16.530000000,1
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2010-01-01 00:59:17.110000000,1
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2010-01-01 01:00:17.700000000,1
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2010-01-01 01:01:18.300000000,1
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2010-01-01 01:02:18.910000000,1
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2010-01-01 01:03:19.530000000,1
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2010-01-01 01:04:20.160000000,1
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====
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