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eedaaecc46
This patch allows using custom origin's in CAGGs, for instance:
time_bucket_ng('7 days', day, '2000-01-03' :: date) AS bucket
For weekly buckets this allows the user to choose what should be considered
the beginning of the week - Sunday or Monday. Also by shifting the origin
one second forward or backward user can tweak the inclusiveness of the
buckets.
This works for date's, timestamp's and timestamptz's. The bucket size is
considered variable-sized in all these cases. CAGGs on top of distributed
hypertables, compressed hypertables and compressed distributed hypertables
are supported as well.
Additionally, this patch does several small refactorings. Firstly, it makes
sure that experimental features of CAGGs will be tested in both Debug and
Release builds. This was previously overlooked. Secondly, it renames the tests
so that a person who is working on experimental features in CAGGs will be able
to easily execute all the related tests: `TESTS='exp_cagg_*' make installcheck`
Last but not least the patch refactors is_valid_bucketing_function() and
renames it to function_allowed_in_cagg_definition(). The reason to do it in
this patch is that otherwise, the logic of the function gets rather confusing
which complicates code review.
fix
109 lines
3.5 KiB
SQL
109 lines
3.5 KiB
SQL
-- This file and its contents are licensed under the Timescale License.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-TIMESCALE for a copy of the license.
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-- Make sure experimental immutable function with 2 arguments can be used in caggs.
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-- Functions with 3 arguments and/or stable functions are currently not supported in caggs.
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CREATE TABLE conditions(
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day DATE NOT NULL,
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city text NOT NULL,
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temperature INT NOT NULL);
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SELECT create_hypertable(
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'conditions', 'day',
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chunk_time_interval => INTERVAL '1 day'
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);
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INSERT INTO conditions (day, city, temperature) VALUES
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('2021-06-14', 'Moscow', 26),
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('2021-06-15', 'Moscow', 22),
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('2021-06-16', 'Moscow', 24),
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('2021-06-17', 'Moscow', 24),
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('2021-06-18', 'Moscow', 27),
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('2021-06-19', 'Moscow', 28),
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('2021-06-20', 'Moscow', 30),
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('2021-06-21', 'Moscow', 31),
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('2021-06-22', 'Moscow', 34),
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('2021-06-23', 'Moscow', 34),
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('2021-06-24', 'Moscow', 34),
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('2021-06-25', 'Moscow', 32),
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('2021-06-26', 'Moscow', 32),
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('2021-06-27', 'Moscow', 31);
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CREATE MATERIALIZED VIEW conditions_summary_weekly
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WITH (timescaledb.continuous) AS
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SELECT city,
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timescaledb_experimental.time_bucket_ng('7 days', day) AS bucket,
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MIN(temperature),
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MAX(temperature)
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FROM conditions
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GROUP BY city, bucket;
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SELECT to_char(bucket, 'YYYY-MM-DD'), city, min, max
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FROM conditions_summary_weekly
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ORDER BY bucket;
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DROP TABLE conditions CASCADE;
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-- Make sure seconds, minutes, and hours can be used with caggs ('origin' is not
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-- currently supported in caggs).
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CREATE TABLE conditions(
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tstamp TIMESTAMP NOT NULL,
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city text NOT NULL,
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temperature INT NOT NULL);
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SELECT create_hypertable(
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'conditions', 'tstamp',
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chunk_time_interval => INTERVAL '1 day'
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);
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INSERT INTO conditions (tstamp, city, temperature) VALUES
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('2021-06-14 12:30:00', 'Moscow', 26),
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('2021-06-14 12:30:10', 'Moscow', 22),
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('2021-06-14 12:30:20', 'Moscow', 24),
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('2021-06-14 12:30:30', 'Moscow', 24),
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('2021-06-14 12:30:40', 'Moscow', 27),
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('2021-06-14 12:30:50', 'Moscow', 28),
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('2021-06-14 12:31:10', 'Moscow', 30),
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('2021-06-14 12:31:20', 'Moscow', 31),
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('2021-06-14 12:31:30', 'Moscow', 34),
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('2021-06-14 12:31:40', 'Moscow', 34),
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('2021-06-14 12:31:50', 'Moscow', 34),
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('2021-06-14 12:32:00', 'Moscow', 32),
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('2021-06-14 12:32:10', 'Moscow', 32),
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('2021-06-14 12:32:20', 'Moscow', 31);
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CREATE MATERIALIZED VIEW conditions_summary_30sec
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WITH (timescaledb.continuous) AS
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SELECT city,
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timescaledb_experimental.time_bucket_ng('30 seconds', tstamp) AS bucket,
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MIN(temperature),
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MAX(temperature)
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FROM conditions
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GROUP BY city, bucket;
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CREATE MATERIALIZED VIEW conditions_summary_1min
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WITH (timescaledb.continuous) AS
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SELECT city,
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timescaledb_experimental.time_bucket_ng('1 minute', tstamp) AS bucket,
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MIN(temperature),
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MAX(temperature)
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FROM conditions
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GROUP BY city, bucket;
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CREATE MATERIALIZED VIEW conditions_summary_1hour
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WITH (timescaledb.continuous) AS
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SELECT city,
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timescaledb_experimental.time_bucket_ng('1 hour', tstamp) AS bucket,
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MIN(temperature),
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MAX(temperature)
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FROM conditions
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GROUP BY city, bucket;
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SELECT city, to_char(bucket, 'YYYY-MM-DD HH:mi:ss'), min, max FROM conditions_summary_30sec ORDER BY bucket;
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SELECT city, to_char(bucket, 'YYYY-MM-DD HH:mi:ss'), min, max FROM conditions_summary_1min ORDER BY bucket;
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SELECT city, to_char(bucket, 'YYYY-MM-DD HH:mi:ss'), min, max FROM conditions_summary_1hour ORDER BY bucket;
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DROP TABLE conditions CASCADE;
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