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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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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 and parallel universes. For example, in the original history of the database, suppose you dropped a critical table at 5:15PM on Tuesday evening, but didn't realize your mistake until Wednesday noon. Unfazed

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

three-letter code ( airport_code ) and has a name ( airport_name ). There is no separate entity for the city, but there is a city name ( city ) to identify the airports of the same city

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 and parallel universes. For example, in the original history of the database, suppose you dropped a critical table at 5:15PM on Tuesday evening, but didn't realize your mistake until Wednesday noon. Unfazed

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 and parallel universes. For example, in the original history of the database, suppose you dropped a critical table at 5:15PM on Tuesday evening, but didn't realize your mistake until Wednesday noon. Unfazed

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