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impala/testdata/workloads/functional-query/queries/QueryTest/inline-view-limit.test
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
# limit in subquery
select count(*) from (select * from alltypessmall limit 10) a
---- TYPES
BIGINT
---- RESULTS
10
====
---- QUERY
# order by/limit in subquery, followed by addititional selection predicate;
# predicate is not applied in subquery
select id, bool_col, tinyint_col, smallint_col, int_col, bigint_col, float_col, double_col, date_string_col, string_col, timestamp_col, year, month
from (select id, bool_col, tinyint_col, smallint_col, int_col, bigint_col, float_col, double_col, date_string_col, string_col, timestamp_col, year, month from alltypessmall order by id limit 10) a
where bool_col = true
---- TYPES
INT, BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, FLOAT, DOUBLE, STRING, STRING, TIMESTAMP, INT, INT
---- RESULTS
0,true,0,0,0,0,0,0,'01/01/09','0',2009-01-01 00:00:00,2009,1
2,true,2,2,2,20,2.200000047683716,20.2,'01/01/09','2',2009-01-01 00:02:00.100000000,2009,1
4,true,4,4,4,40,4.400000095367432,40.4,'01/01/09','4',2009-01-01 00:04:00.600000000,2009,1
6,true,6,6,6,60,6.599999904632568,60.6,'01/01/09','6',2009-01-01 00:06:00.150000000,2009,1
8,true,8,8,8,80,8.800000190734863,80.8,'01/01/09','8',2009-01-01 00:08:00.280000000,2009,1
====
---- QUERY
# order by/limit in subquery, followed by addititional selection predicate;
# variant w/ join
select id, bool_col, tinyint_col, smallint_col, int_col, bigint_col, float_col, double_col, date_string_col, string_col, timestamp_col, year, month
from (
select a.* from alltypessmall a join alltypessmall using (id)
order by a.id limit 10
) a
where bool_col = true
---- TYPES
INT, BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, FLOAT, DOUBLE, STRING, STRING, TIMESTAMP, INT, INT
---- RESULTS
0,true,0,0,0,0,0,0,'01/01/09','0',2009-01-01 00:00:00,2009,1
2,true,2,2,2,20,2.200000047683716,20.2,'01/01/09','2',2009-01-01 00:02:00.100000000,2009,1
4,true,4,4,4,40,4.400000095367432,40.4,'01/01/09','4',2009-01-01 00:04:00.600000000,2009,1
6,true,6,6,6,60,6.599999904632568,60.6,'01/01/09','6',2009-01-01 00:06:00.150000000,2009,1
8,true,8,8,8,80,8.800000190734863,80.8,'01/01/09','8',2009-01-01 00:08:00.280000000,2009,1
====
---- QUERY
# join against subquery with limit creates a merge fragment that applies the limit
select alltypes.id, a.id
from alltypes
join (select id from alltypessmall order by id limit 10) a using (id)
---- TYPES
INT, INT
---- RESULTS: VERIFY_IS_EQUAL_SORTED
0,0
1,1
2,2
3,3
4,4
5,5
6,6
7,7
8,8
9,9
====
---- QUERY
# join against subquery with limit;
# predicate pushdown is prevented in presence of order by/limit clause; variant w/ join
select alltypes.id, a.id
from alltypes
join (
select a.id, a.bool_col
from alltypessmall a join alltypessmall using (id)
order by a.id limit 10
) a using (id)
where a.bool_col = true order by a.id limit 5
---- TYPES
INT, INT
---- RESULTS
0,0
2,2
4,4
6,6
8,8
====
---- QUERY
# IMPALA-2926: Test query plan with a select node that processes multiple row batches
# but filters no rows.
select count(*) from (
select id from
(select id from alltypes limit 7300) v1
where id >= 0) v2
---- RESULTS
7300
---- TYPES
bigint
====
---- QUERY
# Test that limit is enforced by select node.
select id, bool_col, tinyint_col, smallint_col, int_col, bigint_col, float_col,
double_col, date_string_col, string_col, timestamp_col, year, month from
(select * from alltypes order by id limit 20) t1 where int_col < 100 limit 5
---- 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
2,true,2,2,2,20,2.200000047683716,20.2,'01/01/09','2',2009-01-01 00:02:00.100000000,2009,1
3,false,3,3,3,30,3.299999952316284,30.3,'01/01/09','3',2009-01-01 00:03:00.300000000,2009,1
4,true,4,4,4,40,4.400000095367432,40.4,'01/01/09','4',2009-01-01 00:04:00.600000000,2009,1
---- TYPES
INT, BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, FLOAT, DOUBLE, STRING, STRING, TIMESTAMP, INT, INT
====