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https://github.com/timescale/timescaledb.git
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777c599a34
There is a bug in `width_bucket()` causing an overflow and subsequent NaN value as a result of dividing with `+inf`. The NaN value is interpreted as an integer and hence generates an index out of range for the buckets. This commit fixes this by generating an error rather than segfaulting for bucket indexes that are out of range.
79 lines
2.8 KiB
SQL
79 lines
2.8 KiB
SQL
-- This file and its contents are licensed under the Apache License 2.0.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-APACHE for a copy of the license.
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-- table 1
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CREATE TABLE "hitest1"(key real, val varchar(40));
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-- insertions
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INSERT INTO "hitest1" VALUES(0, 'hi');
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INSERT INTO "hitest1" VALUES(1, 'sup');
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INSERT INTO "hitest1" VALUES(2, 'hello');
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INSERT INTO "hitest1" VALUES(3, 'yo');
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INSERT INTO "hitest1" VALUES(4, 'howdy');
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INSERT INTO "hitest1" VALUES(5, 'hola');
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INSERT INTO "hitest1" VALUES(6, 'ya');
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INSERT INTO "hitest1" VALUES(1, 'sup');
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INSERT INTO "hitest1" VALUES(2, 'hello');
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INSERT INTO "hitest1" VALUES(1, 'sup');
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-- table 2
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CREATE TABLE "hitest2"(name varchar(30), score integer, qualify boolean);
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-- insertions
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INSERT INTO "hitest2" VALUES('Tom', 6, TRUE);
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INSERT INTO "hitest2" VALUES('Mary', 4, FALSE);
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INSERT INTO "hitest2" VALUES('Jaq', 3, FALSE);
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INSERT INTO "hitest2" VALUES('Jane', 10, TRUE);
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-- standard 2 bucket
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SELECT histogram(key, 0, 9, 2) FROM hitest1;
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-- standard multi-bucket
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SELECT histogram(key, 0, 9, 5) FROM hitest1;
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-- standard 3 bucket
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SELECT val, histogram(key, 0, 7, 3) FROM hitest1 GROUP BY val ORDER BY val;
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-- standard element beneath lb
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SELECT histogram(key, 1, 7, 3) FROM hitest1;
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-- standard element above ub
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SELECT histogram(key, 0, 3, 3) FROM hitest1;
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-- standard element beneath and above lb and ub, respectively
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SELECT histogram(key, 1, 3, 2) FROM hitest1;
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-- standard 1 bucket
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SELECT histogram(key, 1, 3, 1) FROM hitest1;
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-- standard 2 bucket
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SELECT qualify, histogram(score, 0, 10, 2) FROM hitest2 GROUP BY qualify ORDER BY qualify;
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-- standard multi-bucket
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SELECT qualify, histogram(score, 0, 10, 5) FROM hitest2 GROUP BY qualify ORDER BY qualify;
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-- check number of buckets is constant
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\set ON_ERROR_STOP 0
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select histogram(i,10,90,case when i=1 then 1 else 1000000 end) FROM generate_series(1,100) i;
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\set ON_ERROR_STOP 1
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CREATE TABLE weather (
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time TIMESTAMPTZ NOT NULL,
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city TEXT,
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temperature FLOAT,
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PRIMARY KEY(time, city)
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);
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-- There is a bug in width_bucket() causing a NaN as a result, so we
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-- check that it is not causing a crash in histogram().
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SELECT * FROM create_hypertable('weather', 'time', 'city', 3);
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INSERT INTO weather VALUES
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('2023-02-10 09:16:51.133584+00','city1',10.4),
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('2023-02-10 11:16:51.611618+00','city1',10.3),
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('2023-02-10 06:58:59.999999+00','city1',10.3),
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('2023-02-10 01:58:59.999999+00','city1',10.3),
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('2023-02-09 01:58:59.999999+00','city1',10.3),
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('2023-02-10 08:58:59.999999+00','city1',10.3),
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('2023-03-23 06:12:02.73765+00 ','city1', 9.7),
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('2023-03-23 06:12:06.990998+00','city1',11.7);
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-- This will currently generate an error.
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\set ON_ERROR_STOP 0
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SELECT histogram(temperature, -1.79769e+308, 1.79769e+308,10) FROM weather GROUP BY city;
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\set ON_ERROR_STOP 1
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