68 lines
1.6 KiB
Markdown
68 lines
1.6 KiB
Markdown
# timescaledb
|
|
|
|
<https://github.com/timescale/timescaledb>
|
|
|
|
## Test
|
|
|
|
### Récup datas
|
|
|
|
```bash
|
|
ssh grab-4
|
|
docker exec -t client-demo-postgres-1 pg_dump -Fc -U postgres -d postgres -f /tmp/backup_postgres.dump
|
|
docker cp client-demo-postgres-1:/tmp/backup_postgres.dump /tmp/backup_postgres.dump
|
|
exit
|
|
|
|
cd /tmp
|
|
scp grab-4:/tmp/backup_postgres.dump .
|
|
pg_restore -c -x -t mesure -d postgres -h localhost -U postgres -W backup_postgres.dump
|
|
pg_restore -c -x -I mesure_idx1 -d postgres -h localhost -U postgres -W backup_postgres.dump
|
|
pg_restore -c -x -I mesure_idx2 -d postgres -h localhost -U postgres -W backup_postgres.dump
|
|
```
|
|
|
|
### Création d'une hypertable
|
|
|
|
```sql
|
|
CREATE TABLE mesure_ng (
|
|
"date" TIMESTAMPTZ,
|
|
id_captation INT NOT NULL,
|
|
valeur float4 NOT NULL,
|
|
) WITH (
|
|
tsdb.hypertable,
|
|
timescaledb.segmentby = 'id_captation',
|
|
timescaledb.orderby='time DESC'
|
|
)
|
|
|
|
INSERT INTO mesure_ng ("date", id_captation, valeur)
|
|
SELECT "date", id_captation, valeur
|
|
FROM mesure
|
|
```
|
|
|
|
### Ex. de requête
|
|
|
|
```sql
|
|
SELECT
|
|
time_bucket('1 hour', "date") AS heure,
|
|
round(
|
|
average(
|
|
time_weight('linear', "date", valeur)
|
|
)
|
|
) AS moyenne_conso,
|
|
COUNT(*) AS nombre_de_mesures
|
|
FROM
|
|
mesure_ng
|
|
WHERE
|
|
"date" BETWEEN '2026-03-01 00:00:00' AND '2026-03-31 23:59:59'
|
|
and id_captation = 59 -- puissance PAC
|
|
GROUP BY
|
|
heure
|
|
ORDER BY
|
|
heure;
|
|
```
|
|
|
|
### Continuous aggregates (WIP)
|
|
|
|
<https://www.tigerdata.com/docs/use-timescale/latest/continuous-aggregates/create-a-continuous-aggregate>
|
|
|
|
* CREATE MATERIALIZED VIEW
|
|
* SELECT add_continuous_aggregate_policy
|
|
* supprimer les "vieilles" données de mesure_ng |