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caggs_scaled.sql
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70 lines (60 loc) · 2.17 KB
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DROP TABLE if exists ticks CASCADE;
DROP view if exists ohlc_1m CASCADE;
CREATE TABLE ticks
( time TIMESTAMP NOT NULL,
symbol varchar,
price decimal,
volume int);
SELECT create_hypertable('ticks', 'time', chunk_time_interval => INTERVAL '1 day');
CREATE MATERIALIZED VIEW ohlc_1m
WITH (timescaledb.continuous,
timescaledb.materialized_only = false) AS
SELECT time_bucket('1m', time) as bucket,
symbol,
FIRST(price, time) as open,
MAX(price) as high,
MIN(price) as low,
LAST(price, time) as close,
SUM(volume) as volume,
MIN(time) as open_time,
MAX(time) as close_time
FROM ticks
GROUP BY 1, 2
WITH DATA;
SELECT add_continuous_aggregate_policy('ohlc_1m',
start_offset => INTERVAL '1 month',
end_offset => INTERVAL '1 minute',
schedule_interval => INTERVAL '1 minute');
CREATE MATERIALIZED VIEW ohlc_1h
WITH (timescaledb.continuous,
timescaledb.materialized_only = false) AS
SELECT time_bucket('1h', time) as bucket,
symbol,
FIRST(price, time) as open,
MAX(price) as high,
MIN(price) as low,
LAST(price, time) as close,
SUM(volume) as volume,
MIN(time) as open_time,
MAX(time) as close_time
FROM ticks
GROUP BY 1, 2
WITH DATA;
SELECT add_continuous_aggregate_policy('ohlc_1h',
start_offset => INTERVAL '1 month',
end_offset => INTERVAL '1 hour',
schedule_interval => INTERVAL '1 minute');
INSERT INTO ticks
SELECT time, 'SYMBOL', (random()*30)::int, 100*(random()*10)::int
FROM generate_series(TIMESTAMP '2000-01-01 00:00:00',
TIMESTAMP '2000-01-01 00:00:00' + INTERVAL '50 seconds',
INTERVAL '1 second') AS time;
TABLE ohlc_1m ORDER BY bucket DESC LIMIT 1;
TABLE ohlc_1h ORDER BY bucket DESC LIMIT 1;
INSERT INTO ticks
SELECT time, 'SYMBOL', (random()*30)::int, 100*(random()*10)::int
FROM generate_series(TIMESTAMP '2000-01-01 00:01:00',
TIMESTAMP '2000-01-01 00:01:00' + INTERVAL '1 hour',
INTERVAL '1 second') AS time;
TABLE ohlc_1m ORDER BY bucket DESC LIMIT 1;
TABLE ohlc_1h ORDER BY bucket DESC LIMIT 1;