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99f7a2122f
As a future replacement for time_bucket(), time_bucket_ng() should support seconds, minutes, and hours. This patch adds this support. The implementation is the same as for time_bucket(). Timezones are not yet supported.
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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