partition Data and query Partitioned Table (location-temp dataset)

Author: ptyadana

Advanced SQL for Data Science - Time Series/02.01.Modeling Time Series Data - Partitioning Data.sql

@@ -79,3 +79,12 @@ CREATE TABLE time_series.location_temp_p12 PARTITION OF time_series.location_tem
 CREATE INDEX idx_loc_temp_p12 ON time_series.location_temp_p12(event_time);
 
 
+--------- Copy original data to newly created Partitioned Table ------------
+INSERT INTO time_series.location_temp_p(
+	event_time, event_hour, temp_celcius, location_id
+)
+(
+SELECT event_time, EXTRACT(HOUR FROM event_time), temp_celcius, location_id
+	FROM time_series.location_temp
+);
+

Advanced SQL for Data Science - Time Series/02.02.Modeling Time Series Data - Querying Partitioned Table.sql

@@ -9,13 +9,13 @@ WHERE event_time BETWEEN '2019-03-05' AND '2019-03-06'
 GROUP BY location_id;
 
 
--- 2) partitioned version on new table: cost 166.23
+-- 2) partitioned version on new table: cost 37964.20
 EXPLAIN SELECT location_id, AVG(temp_celcius)
 FROM time_series.location_temp_p
 WHERE event_time BETWEEN '2019-03-05' AND '2019-03-06'
 GROUP BY location_id;
 
--- 3) partitioned version on new table using event hour: cost 78.52
+-- 3) partitioned version on new table using event hour: cost 14,449.74
 EXPLAIN SELECT location_id, AVG(temp_celcius)
 FROM time_series.location_temp_p
 WHERE event_hour BETWEEN 0 AND 4