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88101bc90e
"distinctpc" and "distinctpcsa". We've gathered statistics on an internal dataset (all columns) which is part of our regression data. It's roughly 400mb, ~100 columns, int/bigint/string type. On Hive, it took roughly 64sec. On this Impala implementation, it took 35sec. By adding inline to hash-util.h (which we don't), we can achieve 24~26sec. Change-Id: Ibcba3c9512b49e8b9eb0c2fec59dfd27f14f84c3
669 lines
14 KiB
Plaintext
669 lines
14 KiB
Plaintext
# 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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# 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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# 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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# 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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# 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
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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$TABLE
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---- TYPES
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bigint, bigint, tinyint, tinyint, bigint, double
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---- RESULTS
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10000,9000,1,9,45000,5
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====
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select count(*), count(smallint_col), min(smallint_col), max(smallint_col), sum(smallint_col),
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avg(smallint_col)
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from alltypesagg$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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select count(*), count(int_col), min(int_col), max(int_col), sum(int_col), avg(int_col)
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from alltypesagg$TABLE
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---- TYPES
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bigint, bigint, int, int, bigint, double
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---- RESULTS
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10000,9990,1,999,4995000,500
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====
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select count(*), count(bigint_col), min(bigint_col), max(bigint_col), sum(bigint_col),
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avg(bigint_col)
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from alltypesagg$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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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$TABLE
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---- TYPES
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bigint, bigint, float, float, double, double
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---- RESULTS
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10000,9990,1.100000023841858,1098.900024414062,5494499.999767542,549.9999999767309
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====
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select count(*), count(double_col), min(double_col), max(double_col), sum(double_col),
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avg(double_col)
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from alltypesagg$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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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$TABLE
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---- TYPES
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bigint, string, string, string, string
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---- RESULTS
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10000,'0','999','01/01/10','01/10/10'
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====
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select min(timestamp_col), max(timestamp_col), avg(timestamp_col) from alltypesagg$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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# grouping by different data types, with NULLs
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select tinyint_col, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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tinyint, bigint
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---- RESULTS
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,1000
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====
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# grouping by different data types, with NULLs, grouping expr missing from select list
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select count(*) from alltypesagg$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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select smallint_col % 10, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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smallint, bigint
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---- RESULTS
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0,900
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,100
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====
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select count(*) from alltypesagg$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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select int_col % 10, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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int, bigint
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---- RESULTS
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0,990
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1,1000
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2,1000
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3,1000
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4,1000
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5,1000
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6,1000
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7,1000
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8,1000
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9,1000
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NULL,10
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====
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select count(*) from alltypesagg$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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select bigint_col % 100, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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bigint, bigint
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---- RESULTS
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0,990
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10,1000
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20,1000
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30,1000
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40,1000
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50,1000
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60,1000
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70,1000
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80,1000
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90,1000
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NULL,10
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====
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select count(*) from alltypesagg$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
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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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select date_string_col, count(*) from alltypesagg$TABLE group by 1
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---- TYPES
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string, bigint
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---- RESULTS
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'01/01/10',1000
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'01/02/10',1000
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'01/03/10',1000
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'01/04/10',1000
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'01/05/10',1000
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'01/06/10',1000
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'01/07/10',1000
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'01/08/10',1000
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'01/09/10',1000
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'01/10/10',1000
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====
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select count(*) from alltypesagg$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
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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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# grouping by multiple exprs, with nulls
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select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg$TABLE
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where day = 1 group by 1, 2
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---- TYPES
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tinyint, smallint, bigint
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---- RESULTS
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0,0,120
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0,1,90
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0,2,90
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1,0,90
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1,1,120
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1,2,90
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2,0,90
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2,1,90
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2,2,120
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NULL,0,30
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NULL,1,30
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NULL,2,30
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NULL,NULL,10
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====
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select count(*) from alltypesagg$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
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90
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90
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90
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90
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90
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====
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# same result as previous query
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select tinyint_col % 3, smallint_col % 3, count(*) from alltypesagg$TABLE where day = 1 group by 2, 1
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---- TYPES
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tinyint, smallint, bigint
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---- RESULTS
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0,0,120
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0,1,90
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0,2,90
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1,0,90
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1,1,120
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1,2,90
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2,0,90
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2,1,90
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2,2,120
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NULL,0,30
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NULL,1,30
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NULL,2,30
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NULL,NULL,10
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====
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select tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col, count(*)
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from alltypesagg$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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select count(*)
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from alltypesagg$TABLE
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where date_string_col = '01/01/10' or date_string_col = '01/02/10'
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group by tinyint_col % 2, smallint_col % 2, int_col % 2, bigint_col % 2, date_string_col
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---- TYPES
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bigint
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---- RESULTS
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1
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1
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400
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400
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500
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500
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9
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9
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90
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90
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====
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# no grouping cols, no matching rows
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select count(*), min(tinyint_col), max(tinyint_col), sum(tinyint_col), avg(tinyint_col)
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from alltypesagg$TABLE
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where tinyint_col = -1
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---- TYPES
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bigint, tinyint, tinyint, bigint, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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select count(*), min(smallint_col), max(smallint_col), sum(smallint_col), avg(smallint_col)
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from alltypesagg$TABLE
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where smallint_col = -1
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---- TYPES
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bigint, smallint, smallint, bigint, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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select count(*), min(int_col), max(int_col), sum(int_col), avg(int_col)
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from alltypesagg$TABLE
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where int_col = -1
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---- TYPES
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bigint, int, int, bigint, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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select count(*), min(bigint_col), max(bigint_col), sum(bigint_col), avg(bigint_col)
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from alltypesagg$TABLE
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where bigint_col = -1
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---- TYPES
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bigint, bigint, bigint, bigint, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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select count(*), min(float_col), max(float_col), sum(float_col), avg(float_col)
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from alltypesagg$TABLE
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where float_col < -1.0
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---- TYPES
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bigint, float, float, double, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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select count(*), min(double_col), max(double_col), sum(double_col), avg(double_col)
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from alltypesagg$TABLE
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where double_col < -1.0
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---- TYPES
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bigint, double, double, double, double
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---- RESULTS
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0,NULL,NULL,NULL,NULL
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====
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# HAVING clauses over all aggregation functions, plus compound HAVING clauses
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select int_col % 7, count(*), max(int_col) from alltypesagg$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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select int_col % 7, count(*) from alltypesagg$TABLE group by 1 having max(int_col) > 991
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---- TYPES
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int, bigint
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---- RESULTS
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0,1420
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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6,1420
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====
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select int_col % 7, count(*) from alltypesagg$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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select int_col % 7, count(*) from alltypesagg$TABLE group by 1
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having min(int_col) < 7
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---- TYPES
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int, bigint
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---- RESULTS
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1,1430
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2,1430
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3,1430
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4,1430
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5,1430
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6,1420
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====
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select int_col % 7, count(*) from alltypesagg$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
|
|
====
|
|
select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
|
|
---- TYPES
|
|
int, bigint, bigint
|
|
---- RESULTS
|
|
0,1420,710710
|
|
1,1430,712140
|
|
2,1430,713570
|
|
3,1430,715000
|
|
4,1430,716430
|
|
5,1430,717860
|
|
6,1420,709290
|
|
NULL,10,NULL
|
|
====
|
|
select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
|
|
having sum(int_col) >= 715000
|
|
---- TYPES
|
|
int, bigint, bigint
|
|
---- RESULTS
|
|
3,1430,715000
|
|
4,1430,716430
|
|
5,1430,717860
|
|
====
|
|
select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
|
|
having sum(int_col) >= 715000 or count(*) > 1420
|
|
---- TYPES
|
|
int, bigint, bigint
|
|
---- RESULTS
|
|
1,1430,712140
|
|
2,1430,713570
|
|
3,1430,715000
|
|
4,1430,716430
|
|
5,1430,717860
|
|
====
|
|
select int_col % 7, count(*), sum(int_col) from alltypesagg$TABLE group by 1
|
|
having sum(int_col) is null
|
|
---- TYPES
|
|
int, bigint, bigint
|
|
---- RESULTS
|
|
NULL,10,NULL
|
|
====
|
|
select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
|
|
---- TYPES
|
|
int, bigint, double
|
|
---- RESULTS
|
|
0,1420,500.5
|
|
1,1430,498
|
|
2,1430,499
|
|
3,1430,500
|
|
4,1430,501
|
|
5,1430,502
|
|
6,1420,499.5
|
|
NULL,10,NULL
|
|
====
|
|
select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
|
|
having avg(int_col) > 500
|
|
---- TYPES
|
|
int, bigint, double
|
|
---- RESULTS
|
|
0,1420,500.5
|
|
4,1430,501
|
|
5,1430,502
|
|
====
|
|
select int_col % 7, count(*), avg(int_col) from alltypesagg$TABLE group by 1
|
|
having avg(int_col) > 500 or count(*) = 10
|
|
---- TYPES
|
|
int, bigint, double
|
|
---- RESULTS
|
|
0,1420,500.5
|
|
4,1430,501
|
|
5,1430,502
|
|
NULL,10,NULL
|
|
====
|
|
select timestamp_col, count(*) from alltypesagg$TABLE
|
|
group by timestamp_col having timestamp_col < cast('2010-01-01 01:05:20' as timestamp)
|
|
---- TYPES
|
|
timestamp, bigint
|
|
---- RESULTS
|
|
2010-01-01 00:00:00,1
|
|
2010-01-01 00:01:00,1
|
|
2010-01-01 00:02:00.100000000,1
|
|
2010-01-01 00:03:00.300000000,1
|
|
2010-01-01 00:04:00.600000000,1
|
|
2010-01-01 00:05:00.100000000,1
|
|
2010-01-01 00:06:00.150000000,1
|
|
2010-01-01 00:07:00.210000000,1
|
|
2010-01-01 00:08:00.280000000,1
|
|
2010-01-01 00:09:00.360000000,1
|
|
2010-01-01 00:10:00.450000000,1
|
|
2010-01-01 00:11:00.550000000,1
|
|
2010-01-01 00:12:00.660000000,1
|
|
2010-01-01 00:13:00.780000000,1
|
|
2010-01-01 00:14:00.910000000,1
|
|
2010-01-01 00:15:01.500000000,1
|
|
2010-01-01 00:16:01.200000000,1
|
|
2010-01-01 00:17:01.360000000,1
|
|
2010-01-01 00:18:01.530000000,1
|
|
2010-01-01 00:19:01.710000000,1
|
|
2010-01-01 00:20:01.900000000,1
|
|
2010-01-01 00:21:02.100000000,1
|
|
2010-01-01 00:22:02.310000000,1
|
|
2010-01-01 00:23:02.530000000,1
|
|
2010-01-01 00:24:02.760000000,1
|
|
2010-01-01 00:25:03,1
|
|
2010-01-01 00:26:03.250000000,1
|
|
2010-01-01 00:27:03.510000000,1
|
|
2010-01-01 00:28:03.780000000,1
|
|
2010-01-01 00:29:04.600000000,1
|
|
2010-01-01 00:30:04.350000000,1
|
|
2010-01-01 00:31:04.650000000,1
|
|
2010-01-01 00:32:04.960000000,1
|
|
2010-01-01 00:33:05.280000000,1
|
|
2010-01-01 00:34:05.610000000,1
|
|
2010-01-01 00:35:05.950000000,1
|
|
2010-01-01 00:36:06.300000000,1
|
|
2010-01-01 00:37:06.660000000,1
|
|
2010-01-01 00:38:07.300000000,1
|
|
2010-01-01 00:39:07.410000000,1
|
|
2010-01-01 00:40:07.800000000,1
|
|
2010-01-01 00:41:08.200000000,1
|
|
2010-01-01 00:42:08.610000000,1
|
|
2010-01-01 00:43:09.300000000,1
|
|
2010-01-01 00:44:09.460000000,1
|
|
2010-01-01 00:45:09.900000000,1
|
|
2010-01-01 00:46:10.350000000,1
|
|
2010-01-01 00:47:10.810000000,1
|
|
2010-01-01 00:48:11.280000000,1
|
|
2010-01-01 00:49:11.760000000,1
|
|
2010-01-01 00:50:12.250000000,1
|
|
2010-01-01 00:51:12.750000000,1
|
|
2010-01-01 00:52:13.260000000,1
|
|
2010-01-01 00:53:13.780000000,1
|
|
2010-01-01 00:54:14.310000000,1
|
|
2010-01-01 00:55:14.850000000,1
|
|
2010-01-01 00:56:15.400000000,1
|
|
2010-01-01 00:57:15.960000000,1
|
|
2010-01-01 00:58:16.530000000,1
|
|
2010-01-01 00:59:17.110000000,1
|
|
2010-01-01 01:00:17.700000000,1
|
|
2010-01-01 01:01:18.300000000,1
|
|
2010-01-01 01:02:18.910000000,1
|
|
2010-01-01 01:03:19.530000000,1
|
|
2010-01-01 01:04:20.160000000,1
|
|
==== |