three travel - Search results

travels" from the past to future, vacuuming does one more task (in addition to freeing page space). It finds pretty old and "cold" tuples (which are visible in all snapshots and are unlikely to change

travel class "fare_condition" (the column contains three unique values) and type of the flight

traveled table. Specify two trigger arguments: the actual names of the start_date and stop_date columns. Optionally, you can specify one to three

traveling salesman problem ( TSP ). Possible query plans are encoded as integer strings. Each string represents the join order from one relation of the query to the next. For example, the join tree

travel classes: SELECT s2.aircraft_code, string_agg (s2.fare_conditions || '(' || s2.num::text || ')', ', ') as fare_conditions FROM ( SELECT s.aircraft_code, s.fare_conditions, count(*) as num FROM seats s GROUP BY s.aircraft

travel classes: SELECT s2.aircraft_code, string_agg (s2.fare_conditions || '(' || s2.num::text || ')', ', ') as fare_conditions FROM ( SELECT s.aircraft_code, s.fare_conditions, count(*) as num FROM seats s GROUP BY s.aircraft

travel classes depends on the model of the aircraft ( aircrafts ) performing the flight. It is assumed that every aircraft model has only one cabin configuration. Database schema does not check that seat numbers in boarding

three values. The second of these fields should be written to a file named backup_label in the root directory of the backup. The third field should be written to a file named tablespace