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Modify tests to make more platform agnostic

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When testing on Windows these tests were returning differences
because of floating point (sql_query_results_*) differences and
because the cost was trivially higher (insert_single). Here we
remove the costs since it was not relevant to the regressions we
want to detect. Further we truncate the floating point averages
to 8 decimal places; enough to see significant differences.
This commit is contained in:
Rob Kiefer 2017-12-06 17:21:02 -05:00 committed by RobAtticus
parent 0e76b5fa05
commit 00a096f2f6
5 changed files with 192 additions and 192 deletions
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48
test/expected/insert_single.out
View File

@ -307,42 +307,42 @@ SELECT * FROM "3dim";
(3 rows)
-- test that explain works
EXPLAIN
EXPLAIN (COSTS FALSE)
INSERT INTO "3dim" VALUES('2017-01-21T09:00:01', 32.9, 'green', 'nyc'),
('2017-01-21T09:00:47', 27.3, 'purple', 'la') RETURNING *;
QUERY PLAN
--------------------------------------------------------------------------------
Custom Scan (HypertableInsert) (cost=0.00..0.03 rows=2 width=80)
-> Insert on "3dim" (cost=0.00..0.03 rows=2 width=80)
-> Custom Scan (ChunkDispatch) (cost=0.00..0.03 rows=2 width=80)
-> Values Scan on "*VALUES*" (cost=0.00..0.03 rows=2 width=80)
QUERY PLAN
---------------------------------------------
Custom Scan (HypertableInsert)
-> Insert on "3dim"
-> Custom Scan (ChunkDispatch)
-> Values Scan on "*VALUES*"
(4 rows)
EXPLAIN
EXPLAIN (COSTS FALSE)
WITH "3dim_insert" AS (
INSERT INTO "3dim" VALUES('2017-01-21T09:01:44', 19.3, 'black', 'la') RETURNING time, temp
), regular_insert AS (
INSERT INTO regular_table VALUES('2017-01-21T10:00:51', 14.3) RETURNING time, temp
) INSERT INTO "1dim" (SELECT time, temp FROM "3dim_insert" UNION SELECT time, temp FROM regular_insert);
QUERY PLAN
---------------------------------------------------------------------------------------------------
Custom Scan (HypertableInsert) (cost=0.09..0.12 rows=2 width=16)
-> Insert on "1dim" (cost=0.09..0.12 rows=2 width=16)
QUERY PLAN
------------------------------------------------------------------------------
Custom Scan (HypertableInsert)
-> Insert on "1dim"
CTE 3dim_insert
-> Custom Scan (HypertableInsert) (cost=0.00..0.01 rows=1 width=80)
-> Insert on "3dim" (cost=0.00..0.01 rows=1 width=80)
-> Custom Scan (ChunkDispatch) (cost=0.00..0.01 rows=1 width=80)
-> Result (cost=0.00..0.01 rows=1 width=80)
-> Custom Scan (HypertableInsert)
-> Insert on "3dim"
-> Custom Scan (ChunkDispatch)
-> Result
CTE regular_insert
-> Insert on regular_table (cost=0.00..0.01 rows=1 width=16)
-> Result (cost=0.00..0.01 rows=1 width=16)
-> Custom Scan (ChunkDispatch) (cost=0.07..0.09 rows=2 width=16)
-> Unique (cost=0.07..0.09 rows=2 width=16)
-> Sort (cost=0.07..0.08 rows=2 width=16)
-> Insert on regular_table
-> Result
-> Custom Scan (ChunkDispatch)
-> Unique
-> Sort
Sort Key: "3dim_insert"."time", "3dim_insert".temp
-> Append (cost=0.00..0.06 rows=2 width=16)
-> CTE Scan on "3dim_insert" (cost=0.00..0.02 rows=1 width=16)
-> CTE Scan on regular_insert (cost=0.00..0.02 rows=1 width=16)
-> Append
-> CTE Scan on "3dim_insert"
-> CTE Scan on regular_insert
(17 rows)
-- test prepared statement INSERT

30
test/expected/sql_query_results_optimized.out
View File

@ -271,12 +271,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Index Scan using _hyper_1_1_chunk_time_plain on _hyper_1_1_chunk
(8 rows)
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:30 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:30 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:30 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:30 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
@ -293,12 +293,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Index Scan using _hyper_1_1_chunk_time_plain on _hyper_1_1_chunk
(8 rows)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:00 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:00 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:00 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:00 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
@ -315,12 +315,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Index Scan using _hyper_1_1_chunk_time_plain on _hyper_1_1_chunk
(8 rows)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:30 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:30 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:30 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:30 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time) t, avg(series_0), min(series_1), avg(series_2)

30
test/expected/sql_query_results_unoptimized.out
View File

@ -278,12 +278,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Seq Scan on _hyper_1_1_chunk
(9 rows)
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:30 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:30 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:30 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:30 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
@ -301,12 +301,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Seq Scan on _hyper_1_1_chunk
(9 rows)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:00 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:00 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:00 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:00 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
@ -324,12 +324,12 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
-> Seq Scan on _hyper_1_1_chunk
(9 rows)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
t | avg | min | avg
--------------------------+---------+-------+------------------
Wed Dec 31 21:32:30 1969 | 19975 | 29950 | 141.332930657636
Wed Dec 31 21:31:30 1969 | 19919.5 | 29890 | 141.136445455771
t | avg_trunc1 | min | avg_trunc2
--------------------------+----------------+-------+--------------
Wed Dec 31 21:32:30 1969 | 19975.00000000 | 29950 | 141.33293065
Wed Dec 31 21:31:30 1969 | 19919.50000000 | 29890 | 141.13644545
(2 rows)
EXPLAIN (costs off) SELECT time_bucket('1 minute', time) t, avg(series_0), min(series_1), avg(series_2)

6
test/sql/include/sql_query_results.sql
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@ -124,18 +124,18 @@ FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
EXPLAIN (costs off) SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time, INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
EXPLAIN (costs off) SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, avg(series_0), min(series_1), avg(series_2)
SELECT time_bucket('1 minute', time - INTERVAL '30 seconds') + INTERVAL '30 seconds' t, trunc(avg(series_0)::numeric, 8) as avg_trunc1, min(series_1), trunc(avg(series_2)::numeric, 8) as avg_trunc2
FROM hyper_1 GROUP BY t ORDER BY t DESC limit 2;

4
test/sql/insert_single.sql
View File

@ -70,11 +70,11 @@ SELECT * FROM test.show_constraints('_timescaledb_internal._hyper_7_16_chunk');
SELECT * FROM "3dim";
-- test that explain works
EXPLAIN
EXPLAIN (COSTS FALSE)
INSERT INTO "3dim" VALUES('2017-01-21T09:00:01', 32.9, 'green', 'nyc'),
('2017-01-21T09:00:47', 27.3, 'purple', 'la') RETURNING *;
EXPLAIN
EXPLAIN (COSTS FALSE)
WITH "3dim_insert" AS (
INSERT INTO "3dim" VALUES('2017-01-21T09:01:44', 19.3, 'black', 'la') RETURNING time, temp
), regular_insert AS (