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Overview
| Comment: | Evidence tests for aggregate functions. |
|---|---|
| Timelines: | family | ancestors | descendants | both | trunk |
| Files: | files | file ages | folders |
| SHA1: |
1ab2242b4f2e1d5b6c46ad5955b8dfbe |
| User & Date: | shaneh 2010-09-25 04:03:19.000 |
Context
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2010-11-30
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| 09:50 | Update some evidence marks in slt_lang_dropview.test to account for updated documentation text. check-in: 18a6b7f09c user: dan tags: trunk | |
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2010-09-25
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| 04:03 | Evidence tests for aggregate functions. check-in: 1ab2242b4f user: shaneh tags: trunk | |
|
2010-09-24
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| 18:59 | Update to SLT evidence marks. check-in: 04ea7ef2df user: shaneh tags: trunk | |
Changes
Added test/evidence/slt_lang_aggfunc.test.
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hash-threshold 8
statement ok
CREATE TABLE t1( x INTEGER, y VARCHAR(8) )
statement ok
INSERT INTO t1 VALUES(1,'true')
statement ok
INSERT INTO t1 VALUES(0,'false')
statement ok
INSERT INTO t1 VALUES(NULL,'NULL')
statement ok
CREATE INDEX t1i1 ON t1(x)
skipif sqlite
halt
# count(x), avg(x), sum(x), total(x), min(x), max(x)
# group_concat(x), group_concat(x,y)
# EVIDENCE-OF: R-00466-56349 In any aggregate function that takes a
# single argument, that argument can be preceded by the keyword
# DISTINCT.
query I nosort
SELECT count(DISTINCT x) FROM t1
----
2
query I nosort
SELECT avg(DISTINCT x) FROM t1
----
0
query I nosort
SELECT sum(DISTINCT x) FROM t1
----
1
query I nosort
SELECT total(DISTINCT x) FROM t1
----
1
query I nosort
SELECT min(DISTINCT x) FROM t1
----
0
query I nosort
SELECT max(DISTINCT x) FROM t1
----
1
query T nosort
SELECT group_concat(DISTINCT x) FROM t1
----
1,0
# EVIDENCE-OF: R-00171-59428 In such cases, duplicate elements are
# filtered before being passed into the aggregate function.
# EVIDENCE-OF: R-31453-41389 For example, the function "count(distinct
# X)" will return the number of distinct values of column X instead of
# the total number of non-null values in column X.
statement ok
INSERT INTO t1 VALUES(2,'true')
statement ok
INSERT INTO t1 VALUES(2,'true')
query I nosort
SELECT count(DISTINCT x) FROM t1
----
3
# EVIDENCE-OF: R-20409-33051 The avg() function returns the average
# value of all non-NULL X within a group.
query I nosort
SELECT avg(x) FROM t1
----
1
# EVIDENCE-OF: R-29052-00975 String and BLOB values that do not look
# like numbers are interpreted as 0.
query I nosort
SELECT count(y) FROM t1
----
5
query I nosort
SELECT avg(y) FROM t1
----
0
query I nosort
SELECT sum(y) FROM t1
----
0
query I nosort
SELECT total(y) FROM t1
----
0
query I nosort
SELECT min(y) FROM t1
----
0
query I nosort
SELECT max(y) FROM t1
----
0
query T nosort
SELECT group_concat(y) FROM t1
----
true,false,NULL,true,true
# repeat with DISTINCT
query I nosort
SELECT count(DISTINCT y) FROM t1
----
3
query I nosort
SELECT avg(DISTINCT y) FROM t1
----
0
query I nosort
SELECT sum(DISTINCT y) FROM t1
----
0
query I nosort
SELECT total(DISTINCT y) FROM t1
----
0
query I nosort
SELECT min(DISTINCT y) FROM t1
----
0
query I nosort
SELECT max(DISTINCT y) FROM t1
----
0
query T nosort
SELECT group_concat(DISTINCT y) FROM t1
----
true,false,NULL
# EVIDENCE-OF: R-07535-34995 The result of avg() is always a floating
# point value as long as at there is at least one non-NULL input even if
# all inputs are integers.
query R nosort
SELECT avg(x) FROM t1
----
1.250
query R nosort
SELECT avg(DISTINCT x) FROM t1
----
1.000
# EVIDENCE-OF: R-40597-22164 The result of avg() is NULL if and only if
# there are no non-NULL inputs.
query I nosort label-NULL
SELECT avg(x) FROM t1 WHERE y='null'
----
NULL
query I nosort label-NULL
SELECT avg(DISTINCT x) FROM t1 WHERE y='null'
----
NULL
# EVIDENCE-OF: R-34280-42283 The count(X) function returns a count of
# the number of times that X is not NULL in a group.
query I nosort
SELECT count(x) FROM t1 WHERE y='null'
----
0
query I nosort
SELECT count(DISTINCT x) FROM t1 WHERE y='null'
----
0
query I nosort
SELECT count(x) FROM t1 WHERE y='false'
----
1
query I nosort
SELECT count(DISTINCT x) FROM t1 WHERE y='false'
----
1
# EVIDENCE-OF: R-13776-21310 The count(*) function (with no arguments)
# returns the total number of rows in the group.
query I nosort
SELECT count(*) FROM t1 WHERE y='false'
----
1
# TBD: can DISTINCT be used with *?
statement error
SELECT count(DISTINCT *) FROM t1 WHERE y='false'
# EVIDENCE-OF: R-56088-25150 The group_concat() function returns a
# string which is the concatenation of all non-NULL values of X.
query T nosort
SELECT group_concat(x) FROM t1
----
1,0,2,2
query T nosort
SELECT group_concat(DISTINCT x) FROM t1
----
1,0,2
# EVIDENCE-OF: R-08600-21007 If parameter Y is present then it is used
# as the separator between instances of X.
query T nosort
SELECT group_concat(x,':') FROM t1
----
1:0:2:2
# TBD: DISTINCT can only be used with single parameters
statement error
SELECT group_concat(DISTINCT x,':') FROM t1
# EVIDENCE-OF: R-39910-14723 A comma (",") is used as the separator if Y
# is omitted.
query T nosort
SELECT group_concat(x) FROM t1
----
1,0,2,2
query T nosort
SELECT group_concat(DISTINCT x) FROM t1
----
1,0,2
# EVIDENCE-OF: R-52585-35928 The max() aggregate function returns the
# maximum value of all values in the group.
query I nosort
SELECT max(x) FROM t1
----
2
query I nosort
SELECT max(DISTINCT x) FROM t1
----
2
# TBD: last non-NULL value
# EVIDENCE-OF: R-13053-11096 The maximum value is the value that would
# be returned last in an ORDER BY on the same column.
query I nosort
SELECT x FROM t1 WHERE x NOT NULL ORDER BY x
----
0
1
2
2
query I nosort
SELECT DISTINCT x FROM t1 WHERE x NOT NULL ORDER BY x
----
0
1
2
# EVIDENCE-OF: R-50775-16353 Aggregate max() returns NULL if and only if
# there are no non-NULL values in the group.
query I nosort label-NULL
SELECT max(x) FROM t1 WHERE y='null'
----
NULL
query I nosort label-NULL
SELECT max(DISTINCT x) FROM t1 WHERE y='null'
----
NULL
# EVIDENCE-OF: R-16028-39081 The min() aggregate function returns the
# minimum non-NULL value of all values in the group.
query I nosort
SELECT min(x) FROM t1
----
0
query I nosort
SELECT min(DISTINCT x) FROM t1
----
0
# EVIDENCE-OF: R-30311-39793 The minimum value is the first non-NULL
# value that would appear in an ORDER BY of the column.
query I nosort
SELECT x FROM t1 WHERE x NOT NULL ORDER BY x
----
0
1
2
2
query I nosort
SELECT DISTINCT x FROM t1 WHERE x NOT NULL ORDER BY x
----
0
1
2
# EVIDENCE-OF: R-10396-30188 Aggregate min() returns NULL if and only if
# there are no non-NULL values in the group.
query I nosort label-NULL
SELECT min(x) FROM t1 WHERE y='null'
----
NULL
query I nosort label-NULL
SELECT min(DISTINCT x) FROM t1 WHERE y='null'
----
NULL
# EVIDENCE-OF: R-58261-63259 The sum() and total() aggregate functions
# return sum of all non-NULL values in the group.
query I nosort label-sum
SELECT sum(x) FROM t1
----
5
query I nosort label-sum
SELECT total(x) FROM t1
----
5
query I nosort label-sum-distinct
SELECT sum(DISTINCT x) FROM t1
----
3
query I nosort label-sum-distinct
SELECT total(DISTINCT x) FROM t1
----
3
# EVIDENCE-OF: R-44223-43966 If there are no non-NULL input rows then
# sum() returns NULL but total() returns 0.
query I nosort label-NULL
SELECT sum(x) FROM t1 WHERE y='null'
----
NULL
query I nosort label-NULL
SELECT sum(DISTINCT x) FROM t1 WHERE y='null'
----
NULL
query I nosort label-zero
SELECT total(x) FROM t1 WHERE y='null'
----
0
query I nosort label-zero
SELECT total(DISTINCT x) FROM t1 WHERE y='null'
----
0
# EVIDENCE-OF: R-07734-01023 The result of total() is always a floating
# point value.
query R nosort
SELECT total(x) FROM t1
----
5.000
query R nosort
SELECT total(DISTINCT x) FROM t1
----
3.000
# EVIDENCE-OF: R-19660-56479 The result of sum() is an integer value if
# all non-NULL inputs are integers.
query I nosort label-sum
SELECT sum(x) FROM t1
----
5
query I nosort label-sum-distinct
SELECT sum(DISTINCT x) FROM t1
----
3
# EVIDENCE-OF: R-47496-23053 If any input to sum() is neither an integer
# or a NULL then sum() returns a floating point value which might be an
# approximation to the true sum.
statement ok
INSERT INTO t1 VALUES(4.0,'true')
query R nosort
SELECT sum(x) FROM t1
----
9.000
query R nosort
SELECT sum(DISTINCT x) FROM t1
----
7.000
# TBD-EVIDENCE-OF: R-08904-24719 Sum() will throw an "integer overflow"
# exception if all inputs are integers or NULL and an integer overflow
# occurs at any point during the computation.
statement ok
INSERT INTO t1 VALUES(1<<63,'true');
statement ok
INSERT INTO t1 VALUES(1<<63,'true');
statement ok
INSERT INTO t1 VALUES(-1,'true');
query R nosort
SELECT sum(x) FROM t1
----
query R nosort
SELECT sum(DISTINCT x) FROM t1
----
# TBD-EVIDENCE-OF: R-19553-64528 Total() never throws an integer overflow.
query R nosort
SELECT total(x) FROM t1
----
query R nosort
SELECT total(DISTINCT x) FROM t1
----
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