docker-compose_PG.yml

@@ -1,7 +0,0 @@
-services:
-  timescaledb:
-    image: postgres:18
-    ports:
-      - 5432:5432
-    environment:
-      - POSTGRES_PASSWORD=postgres

notes.md

@@ -8,7 +8,8 @@
 
 ```bash
 ssh grab-4
-docker exec client-demo-postgres-1 pg_dump -Fc -U postgres postgres > /tmp/backup_postgres.dump
+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
@@ -24,11 +25,11 @@ pg_restore -c -x -I mesure_idx2 -d postgres -h localhost -U postgres -W  backup_
 CREATE TABLE mesure_ng (
   "date" TIMESTAMPTZ,
   id_captation INT NOT NULL,
-  valeur float4 NOT NULL
+  valeur float4 NOT NULL,
 ) WITH (
   tsdb.hypertable,
   timescaledb.segmentby = 'id_captation',
-  timescaledb.orderby='date DESC'
+  timescaledb.orderby='time DESC'
 )
 
 INSERT INTO mesure_ng ("date", id_captation, valeur)
@@ -36,11 +37,6 @@ INSERT INTO mesure_ng ("date", id_captation, valeur)
     FROM mesure
 ```
 
-### Compression des données (stockage en colonnes)
-
-`SELECT add_columnstore_policy('mesure_ng', INTERVAL '15 days')`
-
-
 ### Ex. de requête
 
 ```sql
@@ -63,50 +59,10 @@ ORDER BY
   heure;
 ```
 
-### Exploit
-
-```sql
-SELECT *
-FROM timescaledb_information.chunks
-WHERE hypertable_name = 'mesure_ng'
-```
-
-`SELECT * FROM timescaledb_information.jobs`
-
 ### Continuous aggregates (WIP)
 
 <https://www.tigerdata.com/docs/use-timescale/latest/continuous-aggregates/create-a-continuous-aggregate>
 
 * CREATE MATERIALIZED VIEW
-* CALL add_continuous_aggregate_policy
-* supprimer les "vieilles" données de mesure_ng (add_retention_policy ?)
-
-#### Exemples
-
-##### Gauges
-
-CREATE MATERIALIZED VIEW sensor_hourly
-WITH (timescaledb.continuous)
-AS
-SELECT
-    time_bucket('1 hour', time) AS bucket,
-    sensor_id,
-    average(
-      time_weight('linear', "date", valeur)
-    ) AS moyenne_temporelle,
-    percentile_agg(value) AS pct
-FROM sensor_data
-GROUP BY bucket, sensor_id;
-
-Puis
-
-SELECT
-    bucket,
-    sensor_id,
-    approx_percentile(0.95, pct) AS p95,
-    approx_percentile(0.99, pct) AS p99
-FROM sensor_hourly;
-
-##### Index
-
-delta(counter_agg(time, value))
+* SELECT add_continuous_aggregate_policy
+* supprimer les "vieilles" données de mesure_ng