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Csaba Ringhofer 9355b25e11 IMPALA-10662: Change EE tests to return the same results for HS2 as Beeswax 
In EE tests HS2 returned results with smaller precision than Beeswax for
FLOAT/DOUBLE/TIMESTAMP types. These differences are not inherent to the
HS2 protocol - the results are returned with full precision in Thrift
and lose precision during conversion in client code.

This patch changes to conversion in HS2 to match Beeswax and removes
test section DBAPI_RESULTS that was used to handle the differences:
- float/double: print method is changed from str() to ":.16".format()
- timestamp: impyla's cursor is created with convert_types=False to
             avoid conversion to datetime.datetime (which has only
             microsec precision)

Note that FLOAT/DOUBLE are still different in impala-shell, this change
only deals with EE tests.

Testing:
- ran the changed tests

Change-Id: If69ae90c6333ff245c2b951af5689e3071f85cb2
Reviewed-on: http://gerrit.cloudera.org:8080/17325
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2021-04-20 22:21:32 +00:00

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====
---- QUERY
# Uncorrelated IN subquery
select a.id, a.int_col, a.string_col
from alltypessmall a
where a.id in (select id from alltypestiny where bool_col = false)
and a.id < 5
---- RESULTS
1,1,'1'
3,3,'3'
---- TYPES
INT, INT, STRING
====
---- QUERY
# Uncorrelated IN subquery with IS NOT NULL predicate
select a.id, a.int_col, a.string_col
from alltypes a
where a.int_col in (select int_col from alltypesagg where int_col is not null)
and a.id < 5
---- RESULTS
1,1,'1'
2,2,'2'
3,3,'3'
4,4,'4'
---- TYPES
INT, INT, STRING
====
---- QUERY
# Uncorrelated IN subquery with IS NULL predicate (empty result)
select a.id, a.int_col, a.string_col
from alltypes a
where a.id in (select int_col from alltypesagg where int_col is null)
and a.id < 5
---- RESULTS
---- TYPES
INT, INT, STRING
====
---- QUERY
# Uncorrelated NOT IN subquery
select id, year, month
from alltypessmall
where id not in (select id from alltypestiny where bool_col = false)
and id < 5
---- RESULTS
0,2009,1
2,2009,1
4,2009,1
---- TYPES
INT, INT, INT
====
---- QUERY
# Uncorrelated NOT IN subquery that returns only null values
select id
from alltypestiny
where int_col not in (select int_col from alltypesagg where int_col is null)
and id < 10
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Uncorrelated NOT IN subquery that returns null and non-null values
select id
from alltypestiny
where int_col not in (select int_col from alltypesagg)
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Uncorrelated NOT IN subquery that returns an empty set
# (result should include all the tuples of the outer)
select id, int_col
from alltypestiny
where int_col not in (select int_col from alltypesagg where id < 0)
order by id
---- RESULTS
0,0
1,1
2,0
3,1
4,0
5,1
6,0
7,1
---- TYPES
INT, INT
====
---- QUERY
# Outer with nulls and an uncorrelated NOT IN subquery that returns an empty set
# (result should include NULLs in int_col)
select id, int_col
from alltypesagg
where int_col not in (select int_col from alltypestiny where id < 0)
and id < 5
order by id
---- RESULTS
0,NULL
0,NULL
1,1
2,2
3,3
4,4
---- TYPES
INT, INT
====
---- QUERY
# Outer with NULLS and an uncorrelated NOT IN
select id
from alltypesagg
where int_col is null and
int_col not in (select int_col from alltypestiny)
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Outer with NULLS and an uncorrelated NOT IN subquery that returns an empty set
select id, int_col
from alltypesagg
where int_col is null and
int_col not in (select int_col from alltypestiny where id < 0)
and id < 10
order by id
---- RESULTS
0,NULL
0,NULL
---- TYPES
INT, INT
====
---- QUERY
# Correlated IN subquery
select s.id, s.bool_col, s.int_col, s.date_string_col
from alltypessmall s
where s.id in (select id from alltypestiny t where t.int_col = s.int_col)
and s.bool_col = false
---- RESULTS
1,false,1,'01/01/09'
---- TYPES
INT, BOOLEAN, INT, STRING
====
---- QUERY
# Correlated NOT IN subquery
select s.id, s.bool_col, s.int_col
from alltypessmall s
where s.id not in
(select id
from alltypestiny t
where s.int_col = t.int_col and t.bool_col = false)
and s.id < 5
order by s.id
---- RESULTS
0,true,0
2,true,2
3,false,3
4,true,4
---- TYPES
INT, BOOLEAN, INT
====
---- QUERY
# Correlated NOT IN subquery that returns an empty set
# (results should include all the tuples of the outer that pass
# the remaining predicates)
select id, int_col
from alltypestiny t
where t.int_col not in
(select int_col from alltypes a where t.id = a.id and a.bigint_col < 0)
and id < 5
order by id
---- RESULTS
0,0
1,1
2,0
3,1
4,0
---- TYPES
INT, INT
====
---- QUERY
# Correlated NOT IN subquery that returns nulls
select id, int_col
from alltypestiny t
where t.int_col not in
(select int_col from alltypesagg a where int_col is null and a.id = t.id)
order by id
---- RESULTS
1,1
2,0
3,1
4,0
5,1
6,0
7,1
---- TYPES
INT, INT
====
---- QUERY
# Outer with nulls and a correlated NOT IN subquery that returns null and
# non-null values
select id, int_col
from alltypesagg a
where a.int_col not in
(select int_col from alltypesagg b where a.id = b.id)
and id < 10
---- RESULTS
---- TYPES
INT, INT
====
---- QUERY
# Outer with nulls and a correlated NOT IN subquery that does not return nulls
select id, int_col
from alltypesagg a
where int_col not in
(select int_col from alltypestiny t where a.id = t.id)
and bigint_col = 10
order by id
---- RESULTS
1001,1
2001,1
3001,1
4001,1
5001,1
6001,1
7001,1
8001,1
9001,1
---- TYPES
INT, INT
====
---- QUERY
# Correlated NOT IN subquery that returns an empty set
select id, int_col, bigint_col
from alltypesagg a
where int_col not in
(select int_col from alltypestiny t where a.id = t.id and t.bigint_col < 0)
and bigint_col = 10
order by id
---- RESULTS
1,1,10
1001,1,10
2001,1,10
3001,1,10
4001,1,10
5001,1,10
6001,1,10
7001,1,10
8001,1,10
9001,1,10
---- TYPES
INT, INT, BIGINT
====
---- QUERY
# Outer that has only nulls, correlated NOT IN subquery
select id, int_col, bigint_col
from alltypesagg a
where int_col not in (select int_col from alltypesagg t where a.id = t.id)
and int_col is null
---- RESULTS
---- TYPES
INT, INT, BIGINT
====
---- QUERY
# Correlated NOT IN subquery (IMPALA-1297)
select count(distinct id)
from alltypesagg t1
where t1.day not in
(select tt1.tinyint_col as tinyint_col_1
from alltypesagg tt1
where t1.smallint_col = tt1.smallint_col)
---- RESULTS
8200
---- TYPES
BIGINT
====
---- QUERY
# Correlated EXISTS subquery
select count(*)
from alltypestiny t
where exists (select * from alltypessmall s where t.int_col = s.int_col)
and id < 4
---- RESULTS
4
---- TYPES
BIGINT
====
---- QUERY
# Correlated NOT EXISTS subquery
select id, int_col
from alltypessmall t
where not exists (select 1 from alltypestiny s where t.id = s.id)
and month = 1 and int_col < 5
order by id
---- RESULTS
10,0
11,1
12,2
13,3
14,4
20,0
21,1
22,2
23,3
24,4
---- TYPES
INT, INT
====
---- QUERY
# Uncorrelated EXISTS
select id
from alltypestiny t
where exists (select 1 from alltypessmall where bool_col = false)
and bool_col = true
order by id
---- RESULTS
0
2
4
6
---- TYPES
INT
====
---- QUERY
# Uncorrelated EXISTS that returns an empty set
select 1
from alltypestiny t
where exists (select null from alltypessmall where id < 0)
and t.id > 0
---- RESULTS
---- TYPES
TINYINT
====
---- QUERY
# Uncorrelated NOT EXISTS
select id
from alltypestiny t
where not exists (select 1 from alltypessmall where bool_col = false)
and bool_col = true
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Uncorrelated NOT EXISTS that returns an empty set
select 1
from alltypestiny t
where not exists (select null from alltypessmall where id < 0)
and t.id > 0
---- RESULTS
1
1
1
1
1
1
1
---- TYPES
TINYINT
====
---- QUERY
# Uncorrelated aggregate subquery
select count(*) from
alltypessmall t
where t.id < (select max(id) from alltypestiny)
and t.bool_col = true
---- RESULTS
4
---- TYPES
BIGINT
====
---- QUERY
# Uncorrelated aggregate subquery with count
select id, int_col, year, month
from alltypessmall
where int_col = (select count(*) from alltypestiny)
order by id
---- RESULTS
8,8,2009,1
18,8,2009,1
33,8,2009,2
43,8,2009,2
58,8,2009,3
68,8,2009,3
83,8,2009,4
93,8,2009,4
---- TYPES
INT, INT, INT, INT
====
---- QUERY
# Correlated aggregate subquery
select id, int_col, year, month
from alltypessmall s
where s.int_col = (select count(*) from alltypestiny t where s.id = t.id)
order by id
---- RESULTS
1,1,2009,1
10,0,2009,1
20,0,2009,1
25,0,2009,2
35,0,2009,2
45,0,2009,2
50,0,2009,3
60,0,2009,3
70,0,2009,3
75,0,2009,4
85,0,2009,4
95,0,2009,4
---- TYPES
INT, INT, INT, INT
====
---- QUERY
# Multiple subquery predicates
select id, bool_col, int_col, date_string_col
from alltypessmall s
where s.id in (select id from alltypestiny where bool_col = true)
and exists
(select *
from alltypesagg g
where s.int_col = g.int_col and g.bigint_col < 100)
and s.int_col < (select count(*) from alltypes where month = 1)
---- RESULTS
2,true,2,'01/01/09'
4,true,4,'01/01/09'
6,true,6,'01/01/09'
---- TYPES
INT, BOOLEAN, INT, STRING
====
---- QUERY
# Multiple nesting levels
select month, count(*)
from alltypessmall s
where id in
(select id
from alltypestiny t
where t.int_col <
(select min(int_col)
from alltypesagg a
where a.bool_col = false and exists
(select * from alltypes b where b.id = a.id)))
group by month
---- RESULTS
1,4
---- TYPES
INT, BIGINT
====
---- QUERY
# Multiple tables in outer select block and in subqueries
select t.id, t.month, t.year
from alltypestiny t left outer join alltypessmall s
on s.id = t.id
where t.int_col <
(select avg(a.int_col) * 2
from alltypesagg a left outer join alltypes b
on a.bigint_col = b.bigint_col
where a.id = t.id and b.int_col < 10)
order by t.id
---- RESULTS
1,1,2009
2,2,2009
3,2,2009
4,3,2009
5,3,2009
6,4,2009
7,4,2009
---- TYPES
INT, INT, INT
====
---- QUERY
# Subquery in the WITH clause
with t as
(select *
from alltypessmall
where id in
(select id
from alltypestiny
where bool_col = false))
select id, month, year from t where t.int_col =
(select count(*) from alltypestiny where id < 5)
---- RESULTS
5,1,2009
---- TYPES
INT, INT, INT
====
---- QUERY
# Subquery in an inline view
select s.id, s.year
from alltypessmall s left outer join
(select *
from alltypestiny t
where t.id in (select id from alltypesagg)) b
on (s.id = b.id)
where s.int_col < (select max(int_col) from alltypes) and s.id < 10
order by s.id
---- RESULTS
0,2009
1,2009
2,2009
3,2009
4,2009
5,2009
6,2009
7,2009
8,2009
---- TYPES
INT, INT
====
---- QUERY
# Subquery returning a decimal
select id, double_col
from alltypestiny
where double_col < (select min(d3) from functional.decimal_tbl)
order by id
---- RESULTS
0,0
2,0
4,0
6,0
---- TYPES
INT, DOUBLE
====
---- QUERY
# Compare a decimal with the result of a subquery
select d1, d2, d3
from functional.decimal_tbl
where d3 < (select max(double_col) from alltypestiny)
---- RESULTS
1234,2222,1.2345678900
---- TYPES
DECIMAL, DECIMAL, DECIMAL
====
---- QUERY
# Subquery returning a date
select id, timestamp_col
from alltypestiny
where timestamp_col <= (select max(date_col)
from functional.date_tbl)
order by id;
---- RESULTS
0,2009-01-01 00:00:00
1,2009-01-01 00:01:00
2,2009-02-01 00:00:00
3,2009-02-01 00:01:00
4,2009-03-01 00:00:00
5,2009-03-01 00:01:00
6,2009-04-01 00:00:00
7,2009-04-01 00:01:00
---- TYPES
INT, TIMESTAMP
====
---- QUERY
# Compare a date with the result of a subquery
select date_col
from functional.date_tbl
where date_col >= DATE '1400-01-01' AND date_col >= (select max(timestamp_col)
from alltypestiny);
---- RESULTS
2017-11-28
2018-12-31
2017-11-28
9999-12-31
9999-12-01
9999-12-31
2017-11-28
---- TYPES
DATE
====
---- QUERY
# Distinct in the outer select block
select distinct bool_col
from alltypestiny t
where 1 < (select count(*) from alltypessmall)
---- RESULTS
false
true
---- TYPES
BOOLEAN
====
---- QUERY
# Distinct with an unqualified star in the outer select block
select distinct *
from alltypestiny t
where 1 < (select avg(distinct id) from alltypessmall)
and id < 2
---- RESULTS
0,true,0,0,0,0,0,0,'01/01/09','0',2009-01-01 00:00:00,2009,1
1,false,1,1,1,10,1.100000023841858,10.1,'01/01/09','1',2009-01-01 00:01:00,2009,1
---- TYPES
INT, BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, FLOAT, DOUBLE, STRING, STRING, TIMESTAMP, INT, INT
====
---- QUERY
# Aggregate subquery in an IS NULL predicate
select count(*)
from alltypestiny
where (select max(int_col) from alltypesagg where int_col is null) is null
---- RESULTS
8
---- TYPES
BIGINT
====
---- QUERY
# Aggregate subquery in an IS NOT NULL predicate
select count(*)
from alltypestiny
where (select max(int_col) from alltypesagg where int_col is null) is not null
---- RESULTS
0
---- TYPES
BIGINT
====
---- QUERY
# Correlated aggregate subquery in an IS NULL predicate
select id, bool_col
from alltypestiny t
where (select sum(int_col) from alltypesagg g where t.id = g.id) is null
order by id
---- RESULTS
0,true
---- TYPES
INT, BOOLEAN
====
---- QUERY
# Correlated aggregate subquery in an IS NOT NULL predicate
select id, bool_col
from alltypestiny t
where (select sum(int_col) from alltypesagg g where t.id = g.id) is not null
order by id
---- RESULTS
1,false
2,true
3,false
4,true
5,false
6,true
7,false
---- TYPES
INT, BOOLEAN
====
---- QUERY
# Function with a scalar subquery
select count(*)
from alltypestiny t
where
zeroifnull((select max(int_col) from alltypesagg where int_col is null)) = 0
---- RESULTS
8
---- TYPES
BIGINT
====
---- QUERY
# Function with a scalar subquery
select id
from alltypestiny t
where
nullifzero((select min(id) from alltypesagg where int_col is null)) is null
and id < 5
order by id
---- RESULTS
0
1
2
3
4
---- TYPES
INT
====
---- QUERY
# Between predicate with subqueries
select id from alltypessmall
where id between
(select min(bigint_col) from alltypestiny) and
(select max(bigint_col) from alltypestiny)
order by id
---- RESULTS
0
1
2
3
4
5
6
7
8
9
10
---- TYPES
INT
====
---- QUERY
# Correlated EXISTS subquery with an analytic function and a group by clause
select id, int_col
from alltypesagg a
where exists
(select id, sum(int_col) over (partition by bool_col)
from alltypes b
where a.id = b.id and b.bigint_col < 100
group by id, int_col, bool_col
order by id)
and id < 5
order by id
---- RESULTS
0,NULL
0,NULL
1,1
2,2
3,3
4,4
---- TYPES
INT, INT
====
---- QUERY
# Correlated NOT EXISTS subquery with analytic function and group by
select id, int_col from alltypestiny t
where not exists
(select id, sum(int_col) over (partition by bool_col)
from alltypesagg a where bool_col = false and t.id = a.int_col
group by id, int_col, bool_col having sum(id) = 1)
order by id, int_col
---- RESULTS
0,0
2,0
3,1
4,0
5,1
6,0
7,1
---- TYPES
INT, INT
====
---- QUERY
# Testing a crash in the buffered tuple stream related to IMPALA-1306.
SELECT COUNT(t1.id) AS int_col_1
FROM alltypes t1
WHERE t1.month IN
(SELECT tt1.tinyint_col AS tinyint_col_1
FROM alltypes tt1
WHERE t1.month = tt1.tinyint_col)
AND EXISTS
(SELECT MIN(tt1.tinyint_col) AS tinyint_col_1
FROM alltypestiny tt1)
AND
(SELECT t1.year AS int_col_1
FROM alltypes t1
ORDER BY t1.year ASC LIMIT 1) = t1.id
---- RESULTS
1
---- TYPES
BIGINT
====
---- QUERY
# Testing a crash in the buffered tuple stream related to IMPALA-1306.
SELECT COUNT(t1.id) AS int_col_1
FROM alltypestiny t1
WHERE t1.month IN
(SELECT tt1.tinyint_col AS tinyint_col_1
FROM alltypes tt1
WHERE t1.month = tt1.tinyint_col)
AND EXISTS
(SELECT MIN(tt1.tinyint_col) AS tinyint_col_1
FROM alltypestiny tt1)
AND
(SELECT t1.year AS int_col_1
FROM alltypes t1
ORDER BY t1.year ASC LIMIT 1) = t1.id
---- RESULTS
0
---- TYPES
BIGINT
====
---- QUERY
# Regression test for IMPALA-1318.
select count(t1.c) over () from
(select max(int_col) c from alltypestiny) t1
where t1.c not in
(select sum(t1.smallint_col) from alltypes t1)
---- RESULTS
1
---- TYPES
BIGINT
====
---- QUERY
# Regression test for IMPALA-1348.
select count(*)
FROM alltypesagg t1
WHERE day IS NOT NULL
AND t1.int_col NOT IN
(SELECT tt1.month AS tinyint_col_1
FROM alltypesagg tt1
LEFT JOIN alltypestiny tt2 ON tt2.year = tt1.id
AND t1.bigint_col = tt2.smallint_col)
---- RESULTS
10000
---- TYPES
BIGINT
====
---- QUERY
# WITH definition containing a subquery is used in a UNION
WITH foo AS (SELECT 1 FROM alltypestiny WHERE int_col IN (SELECT 1))
SELECT * FROM foo
UNION SELECT * FROM foo
---- RESULTS
1
---- TYPES
TINYINT
====
---- QUERY
# Regression test for IMPALA-1365
WITH foo AS (SELECT 1 FROM alltypestiny WHERE int_col IN (SELECT 1))
SELECT * FROM (SELECT * FROM foo UNION SELECT * FROM foo) bar
---- RESULTS
1
---- TYPES
TINYINT
====
---- QUERY
# UNION of query with subquery and various other queries
SELECT 1 FROM ALLTYPESTINY WHERE 1 = (SELECT 1)
UNION VALUES (2)
UNION ALL SELECT 3
---- RESULTS
1
2
3
---- TYPES
TINYINT
====
---- QUERY
# Correlated NOT EXISTS subquery with an aggregate function (IMPALA-1550)
SELECT t1.bigint_col
FROM alltypestiny t1
WHERE NOT EXISTS
(SELECT SUM(smallint_col) AS int_col
FROM alltypestiny
WHERE t1.date_string_col = string_col AND t1.timestamp_col = timestamp_col)
GROUP BY t1.bigint_col
---- RESULTS
---- TYPES
BIGINT
====
---- QUERY
# Correlated EXISTS subquery with an aggregate function (IMPALA-1550)
SELECT t1.bigint_col
FROM alltypestiny t1
WHERE EXISTS
(SELECT SUM(smallint_col) AS int_col
FROM alltypestiny
WHERE t1.date_string_col = string_col AND t1.timestamp_col = timestamp_col)
GROUP BY t1.bigint_col
---- RESULTS
0
10
---- TYPES
BIGINT
====
---- QUERY
# Correlated EXISTS subquery with a having clause (IMPALA-2734)
SELECT 1
FROM alltypestiny t1
WHERE EXISTS
(SELECT 1
FROM alltypestiny t2
WHERE t1.id = t2.id AND t1.int_col = t2.int_col
GROUP BY t2.id
HAVING count(1) = 1)
---- RESULTS
1
1
1
1
1
1
1
1
---- TYPES
TINYINT
====
---- QUERY
# EXISTS subquery containing ORDER BY, LIMIT, and OFFSET (IMPALA-6934)
SELECT count(*)
FROM alltypestiny t
WHERE EXISTS
(SELECT id
FROM alltypestiny
WHERE id < 5
ORDER BY id LIMIT 10 OFFSET 6)
---- RESULTS
0
====
---- QUERY
# Uncorrelated subquery in binary predicate that returns scalar value at runtime
SELECT id FROM alltypessmall
WHERE int_col =
(SELECT int_col
FROM alltypessmall
WHERE id = 1)
ORDER BY id
---- RESULTS
1
11
21
26
36
46
51
61
71
76
86
96
---- TYPES
INT
====
---- QUERY
# Uncorrelated subquery in arithmetic expr that returns scalar value at runtime
SELECT id FROM alltypessmall
WHERE int_col =
3 * (SELECT int_col
FROM alltypessmall
WHERE id = 1)
ORDER BY id
---- RESULTS
3
13
23
28
38
48
53
63
73
78
88
98
---- TYPES
INT
====
---- QUERY
# Uncorrelated subquery in binary predicate that returns no rows.
SELECT id FROM alltypessmall
WHERE int_col =
(SELECT int_col
FROM alltypessmall
WHERE id = -123)
ORDER BY id
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Uncorrelated subquery in arithmetic expr that returns no rows.
SELECT id FROM alltypessmall
WHERE int_col =
3 * (SELECT int_col
FROM alltypessmall
WHERE id = -123)
ORDER BY id
---- RESULTS
---- TYPES
INT
====
---- QUERY
# Uncorrelated subquery in binary predicate that returns multiple rows
SELECT id FROM alltypessmall
WHERE int_col =
(SELECT int_col
FROM alltypessmall)
ORDER BY id
---- RESULTS
---- CATCH
Subquery must not return more than one row:
====
---- QUERY
# Uncorrelated subquery in arithmetic expr that returns multiple rows
SELECT id FROM alltypessmall
WHERE int_col =
3 * (SELECT int_col
FROM alltypessmall)
ORDER BY id
---- RESULTS
---- CATCH
Subquery must not return more than one row:
====
---- QUERY
# Uncorrelated subquery in binary predicate that returns scalar value at runtime
SELECT count(id) FROM alltypes
WHERE int_col =
(SELECT int_col
FROM alltypessmall
WHERE id = 1)
---- RESULTS
730
---- TYPES
BIGINT
====
---- QUERY
# Uncorrelated subquery in arithmetic expr that returns scalar value at runtime
SELECT count(id) FROM alltypes
WHERE int_col =
3 * (SELECT int_col
FROM alltypessmall
WHERE id = 1)
---- RESULTS
730
---- TYPES
BIGINT
====
---- QUERY
# Subquery that returns more than one row
SELECT a FROM (values(1 a),(2),(3)) v
WHERE a = (SELECT x FROM (values(1 x),(2),(3)) v)
---- RESULTS
---- CATCH
Subquery must not return more than one row:
====
---- QUERY
# Subquery that returns more than one row
# The error message must not reveal the definition of functional.alltypes_view
SELECT id FROM alltypes
WHERE id = (SELECT bigint_col FROM functional.alltypes_view)
---- RESULTS
---- CATCH
Subquery must not return more than one row: SELECT bigint_col FROM functional.alltypes_view
====
---- QUERY
# Runtime scalar subquery with offset.
select count(*) from alltypes
where 7 = (select id from alltypestiny
order by id limit 8 offset 7)
---- RESULTS
7300
---- TYPES
BIGINT
====
---- QUERY
# IMPALA-7108: Select from an inline view that returns a single row.
select count(*) from alltypes
where int_col = (select f.id from (
select * from alltypes order by 1 limit 1) f)
---- RESULTS
730
---- TYPES
BIGINT
====
---- QUERY
# Basic scalar in select list
select id, 1+(select min(id) from alltypessmall)
from alltypestiny
order by id
---- RESULTS
0,1
1,1
2,1
3,1
4,1
5,1
6,1
7,1
---- TYPES
INT, BIGINT
====
---- QUERY
# No aggregate however limit 1
select id, 1+(select id from alltypessmall where id=0 group by id limit 1)
from alltypestiny
order by id
---- RESULTS
0,1
1,1
2,1
3,1
4,1
5,1
6,1
7,1
---- TYPES
INT, BIGINT
====
---- QUERY
# outer join
select s.id, (select count(id) from alltypes) from alltypestiny t
left outer join alltypessmall s on t.id = s.id where s.bool_col
order by id
---- RESULTS
0,7300
2,7300
4,7300
6,7300
---- TYPES
INT, BIGINT
====
---- QUERY
# correlated scalar currently unsupported
select id, (select count(id) from alltypessmall where id=t.id)
from alltypestiny t
order by id
---- RESULTS
---- CATCH
A correlated scalar subquery is not supported in the expression:
====
---- QUERY
# Uncorrelated Scalar Aggregate in select list combined with aggregation in parent query
select
max(a.id),
(select max(id) from alltypestiny),
(select min(id) from alltypestiny)
from alltypessmall a
---- RESULTS
99,7,0
---- TYPES
INT, INT, INT
====
---- QUERY
# Empty tables or false predicate should result in NULLs
# Count aggregates on empty return 0
select id,
(select sum(f2) from emptytable),
(select count(id) from alltypestiny where id > 100)
from alltypestiny
order by id
---- RESULTS
0,NULL,0
1,NULL,0
2,NULL,0
3,NULL,0
4,NULL,0
5,NULL,0
6,NULL,0
7,NULL,0
---- TYPES
INT, BIGINT, BIGINT
====
---- QUERY
# nested subquery over a view with an outer predicate on the subquery column
select count(id) from
(select id,
(select count(*) as cnt from alltypestiny where int_col
<= (select max(int_col) from functional.alltypes_view)) as c from dimtbl) T
where t.c <10
---- RESULTS
10
---- TYPES
BIGINT
====
---- QUERY
# Empty tables should result in NULLs
select id, id in (select min(id) from alltypessmall)
from alltypestiny
order by id
---- RESULTS
0,true
1,false
2,false
3,false
4,false
5,false
6,false
7,false
---- TYPES
INT, BOOLEAN
====
---- QUERY
# With a join in the subquery
select id,
(select count(*) from alltypessmall join alltypestiny using (id))
from alltypestiny
order by id
---- RESULTS
0,8
1,8
2,8
3,8
4,8
5,8
6,8
7,8
---- TYPES
INT, BIGINT
====
---- QUERY
# EXISTS predicates are handled at plantime so we need to special case their rewrites
select id,
exists (select max(id) from dimtbl)
from alltypestiny
order by id
---- RESULTS
0,true
1,true
2,true
3,true
4,true
5,true
6,true
7,true
---- TYPES
INT, BOOLEAN
====
---- QUERY
# Multiple levels of exists
SELECT id,
NOT EXISTS (SELECT MAX(f2) FROM emptytable),
EXISTS (SELECT MAX(id) FROM DIMTBL WHERE EXISTS (SELECT MAX(id) FROM alltypestiny)),
(SELECT 1
FROM alltypestiny t1
WHERE EXISTS
(SELECT 1
FROM alltypestiny t2
WHERE t1.id = t2.id AND t1.int_col = t2.int_col
GROUP BY t2.id
HAVING count(1) = 1) LIMIT 1)
FROM alltypessmall WHERE id < 2
---- RESULTS
0,false,true,1
1,false,true,1
---- TYPES
INT, BOOLEAN, BOOLEAN, TINYINT
====
---- QUERY
# Having with subquery
select id, sum(int_col+smallint_col)
from alltypestiny group by id
having sum(int_col+smallint_col) in
(select sum(int_col) from alltypessmall group by id)
order by id
---- RESULTS
0,0
1,2
2,0
3,2
4,0
5,2
6,0
7,2
---- TYPES
INT, BIGINT
====
---- QUERY
# Having with not in subquery with nested having
select id, sum(int_col+smallint_col)
from alltypestiny group by id
having sum(int_col+smallint_col) not in
(select sum(int_col) from alltypessmall group by id having
sum(int_col) < 2)
order by id
---- RESULTS
1,2
3,2
5,2
7,2
---- TYPES
INT, BIGINT
====
---- QUERY
# Having with subquery with join and subquery in where
select id, sum(int_col)
from alltypestiny
where id in (select id from alltypestiny where id % 2 = 0)
group by id having sum(int_col) in
(select sum(a.int_col) from alltypessmall a, alltypestiny b where
a.id = b.id and b.int_col != 1 group by a.id)
order by id
---- RESULTS
0,0
2,0
4,0
6,0
---- TYPES
INT, BIGINT
====
---- QUERY
# Having with subquery with subquery in select
select id, sum(int_col)
from alltypestiny
group by id having sum(int_col) >
(select min(int_col)+(select min(int_col) from alltypessmall)
from alltypestiny)
order by id
---- RESULTS
1,1
3,1
5,1
7,1
---- TYPES
INT, BIGINT
====
---- QUERY
# Having with exists subquery
select id, sum(int_col+smallint_col)
from alltypestiny group by id
having not exists
(select sum(int_col) from alltypessmall group by id)
order by id
---- RESULTS
---- TYPES
INT, BIGINT
====
---- QUERY
# Subquery in having and where clauses
select id, sum(int_col) from alltypestiny where
id > (select min(id)+1 from alltypessmall) group by id
having sum(int_col) in (select sum(int_col) from alltypessmall group by id)
order by id
---- RESULTS
2,0
3,1
4,0
5,1
6,0
7,1
---- TYPES
INT, BIGINT
====
---- QUERY
# Having subquery with a runtime scalar error
select id, sum(int_col) from alltypestiny where
id > (select min(id)+1 from alltypessmall) group by id
having sum(int_col) >= (select sum(int_col) from alltypessmall group by id)
order by id
---- RESULTS
---- CATCH
Subquery must not return more than one row:
====
---- QUERY
# Basic IN subquery in OR predicate.
# Crafted so that each branch of the OR matches a handful of rows.
select id, timestamp_col from alltypes
where (timestamp_col between '2009-04-13' and '2009-04-14') or
id in (select int_col from alltypestiny)
---- TYPES
INT, TIMESTAMP
---- RESULTS
0,2009-01-01 00:00:00
1,2009-01-01 00:01:00
1020,2009-04-13 02:00:05.400000000
1021,2009-04-13 02:01:05.400000000
1022,2009-04-13 02:02:05.410000000
1023,2009-04-13 02:03:05.430000000
1024,2009-04-13 02:04:05.460000000
1025,2009-04-13 02:05:05.500000000
1026,2009-04-13 02:06:05.550000000
1027,2009-04-13 02:07:05.610000000
1028,2009-04-13 02:08:05.680000000
1029,2009-04-13 02:09:05.760000000
====
---- QUERY
# Subquery in OR predicate inside non-trivial expression.
# Crafted so that each branch of the OR matches a few rows.
select year, id, int_col, string_col, date_string_col
from alltypes
where (int_col = 9 and date_string_col > '12/31/00') or
(year = 2010 and date_string_col > '12/28/10' and
string_col in (select min(string_col) from alltypestiny))
---- TYPES
INT, INT, INT, STRING, STRING
---- RESULTS
2009,3649,9,'9','12/31/09'
2010,7270,0,'0','12/29/10'
2010,7280,0,'0','12/30/10'
2010,7290,0,'0','12/31/10'
2010,7299,9,'9','12/31/10'
====
---- QUERY
# Subquery in HAVING clause.
# Crafted so that each branch of the OR matches one row.
select year, month, min(id)
from alltypes
group by year, month
having (year = 2010 and month > 11) or
min(id) in (select int_col from alltypestiny)
---- TYPES
INT, INT, INT
---- RESULTS
2010,12,6990
2009,1,0
====
---- QUERY
# Comparator-based subquery with correlated predicate in disjunction.
select id from alltypes t
where id % 1234 = 0 or
t.id <= (select min(id) from alltypesagg g where t.int_col = g.int_col)
---- TYPES
INT
---- RESULTS
6170
2468
4936
1234
0
1
2
3
4
5
6
7
8
9
3702
====
---- QUERY
# Subquery that only returns NULL values. The IN predicate should always
# evaluate to false in this case, because the hand-picked values have a null 'int_col'.
select id, int_col from alltypes t
where t.id = 42 or t.int_col IN (
select int_col from alltypesagg where id in (1000,2000,3000,4000))
---- TYPES
INT, INT
---- RESULTS
42,2
====
---- QUERY
# IMPALA-9949: subquery in select list that returns 0 rows results in NULLs.
select id, (select min(int_col) from alltypes having min(int_col) < 0)
from alltypestiny
---- RESULTS
0,NULL
1,NULL
2,NULL
3,NULL
4,NULL
5,NULL
6,NULL
7,NULL
---- TYPES
INT, INT
====
---- QUERY
# IMPALA-1270: test that distinct subquery is executable and returns correct results.
select id from alltypestiny
where int_col in (select int_col from alltypes where id % 2 = 0)
---- RESULTS
0
2
4
6
---- TYPES
INT
====
---- QUERY
# IMPALA-1270: test that distinct subquery with anti join is executable and
# returns correct results.
select id from alltypestiny
where int_col not in (select int_col from alltypes where id % 2 = 0)
---- RESULTS
1
3
5
7
---- TYPES
INT
====
---- QUERY
# IMPALA-1270: test that subquery with no join predicates is executable and
# returns correct results. A limit is added by the planner.
select id from alltypestiny
where exists (select int_col from alltypes where id % 2 = 0)
---- RESULTS
0
1
2
3
4
5
6
7
---- TYPES
INT
====
---- QUERY
# IMPALA-1270: test subquery with multiple join predicates with distinct
# added returns correct results.
select count(*) from alltypesagg t1
where int_col in (
select int_col from alltypes t2
where t1.bool_col = t2.bool_col and id is not null);
---- RESULTS
90
---- TYPES
BIGINT
====
---- QUERY
# IMPALA-1270: test subquery with aggregate function returns correct results.
select id from alltypesagg t1
where int_col in (
select count(*)
from alltypes t2
group by int_col, tinyint_col)
---- RESULTS
730
730
1730
1730
2730
2730
3730
3730
4730
4730
5730
5730
6730
6730
7730
7730
8730
8730
9730
9730
---- TYPES
INT
====
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