Timesacledb Test Demo Data Run

Timesacledb installation or use of Docker, for test data need to be downloaded in advance

Start Timesacledb

Using a GIS-enabled mirror, you need to use

docker run -d --name timescaledb -p 5432:5432 timescale/timescaledb-postgis

Preparation environment

• Download test data

https://timescaledata.blob.core.windows.net/datasets/nyc_data.tar.gz

• Create DATABASE && Extended load Timesacledb

CREATE DATABASE nyc_data;\c nyc_dataCREATE EXTENSION IF NOT EXISTS timescaledb CASCADE;

Loading data

• Import schema

psql -U postgres -d nyc_data -h localhost < nyc_data.sql

• Import data

psql -U postgres -d nyc_data -h localhost -c "\COPY rides FROM nyc_data_rides.csv CSV"

Run a query

• Basic Query

SELECT date_trunc(‘day‘, pickup_datetime) as day, avg(fare_amount) FROM rides WHERE passenger_count > 1 AND pickup_datetime < ‘2016-01-08‘ GROUP BY day ORDER BY day;SELECT date_trunc(‘day‘, pickup_datetime) as day, COUNT(*) FROM rides GROUP BY day ORDER BY day LIMIT 5;

• Time series Query

SELECT time_bucket(‘5 minute‘, pickup_datetime) AS five_min, count(*) FROM rides WHERE pickup_datetime < ‘2016-01-01 02:00‘ GROUP BY five_min ORDER BY five_min;

System data

Query details

• View Timesacledb's work through explain

EXPLAIN SELECT * FROM rides;

GIS Query

• Let Nyc_data support GIS

CREATE EXTENSION postgis;ALTER TABLE rides ADD COLUMN pickup_geom geometry(POINT,2163);ALTER TABLE rides ADD COLUMN dropoff_geom geometry(POINT,2163);

• Generate GEO data (a bit slow, take some time)

UPDATE rides SET pickup_geom = ST_Transform(ST_SetSRID(ST_MakePoint(pickup_longitude,pickup_latitude),4326),2163);UPDATE rides SET dropoff_geom = ST_Transform(ST_SetSRID(ST_MakePoint(dropoff_longitude,dropoff_latitude),4326),2163);

• GIS Query

SELECT time_bucket(‘30 minutes‘, pickup_datetime) AS thirty_min, COUNT(*) AS near_times_sq  FROM rides  WHERE ST_Distance(pickup_geom, ST_Transform(ST_SetSRID(ST_MakePoint(-73.9851,40.7589),4326),2163)) < 400    AND pickup_datetime < ‘2016-01-01 14:00‘  GROUP BY thirty_min ORDER BY thirty_min;

• System-generated data
  

Description

总的来说简单，同时具有时序数据库的特点，对于我们来说不需要关注数据多的时候性能的问题，还是很不错的，对于ha 以及集群功能还有待研究

Resources

Https://docs.timescale.com/v0.9/tutorials/tutorial-hello-nyc
Https://docs.timescale.com/v0.9/getting-started/installation/mac/installation-homebrew

Timesacledb Test Demo Data Run