Companies in Caslan, Canada
List of companies in Caslan, Alberta: find addresses, phone numbers, email, social networks, photos, customer reviews and more.
List of companies in Caslan, Alberta: find addresses, phone numbers, email, social networks, photos, customer reviews and more.
0 | SELECT * FROM `locality` WHERE url = 'caslan-ab' LIMIT 1 |
1 | UPDATE locality SET weather = '{\"date\":\"2024-04-27\",\"data\":{\"2024-04-27\":{\"01\":{\"temp\":3,\"pressure\":1017,\"humidity\":45,\"icon\":\"02n\",\"wind\":4},\"04\":{\"temp\":2,\"pressure\":1018,\"humidity\":43,\"icon\":\"04n\",\"wind\":5},\"07\":{\"temp\":1,\"pressure\":1018,\"humidity\":50,\"icon\":\"04d\",\"wind\":5},\"10\":{\"temp\":4,\"pressure\":1016,\"humidity\":43,\"icon\":\"04d\",\"wind\":6},\"13\":{\"temp\":9,\"pressure\":1013,\"humidity\":44,\"icon\":\"04d\",\"wind\":6},\"16\":{\"temp\":10,\"pressure\":1011,\"humidity\":49,\"icon\":\"04d\",\"wind\":6},\"19\":{\"temp\":10,\"pressure\":1009,\"humidity\":55,\"icon\":\"04d\",\"wind\":5},\"22\":{\"temp\":8,\"pressure\":1008,\"humidity\":67,\"icon\":\"04n\",\"wind\":5}},\"2024-04-28\":{\"01\":{\"temp\":8,\"pressure\":1006,\"humidity\":68,\"icon\":\"04n\",\"wind\":5},\"04\":{\"temp\":7,\"pressure\":1005,\"humidity\":83,\"icon\":\"04n\",\"wind\":5},\"07\":{\"temp\":7,\"pressure\":1005,\"humidity\":85,\"icon\":\"10d\",\"wind\":4},\"10\":{\"temp\":7,\"pressure\":1005,\"humidity\":80,\"icon\":\"10d\",\"wind\":5},\"13\":{\"temp\":12,\"pressure\":1002,\"humidity\":57,\"icon\":\"04d\",\"wind\":3},\"16\":{\"temp\":11,\"pressure\":1001,\"humidity\":57,\"icon\":\"04d\",\"wind\":2},\"19\":{\"temp\":11,\"pressure\":1001,\"humidity\":61,\"icon\":\"04d\",\"wind\":3},\"22\":{\"temp\":8,\"pressure\":1001,\"humidity\":73,\"icon\":\"04n\",\"wind\":2}},\"2024-04-29\":{\"01\":{\"temp\":7,\"pressure\":1002,\"humidity\":77,\"icon\":\"04n\",\"wind\":3},\"04\":{\"temp\":4,\"pressure\":1003,\"humidity\":88,\"icon\":\"04n\",\"wind\":2},\"07\":{\"temp\":4,\"pressure\":1003,\"humidity\":89,\"icon\":\"04d\",\"wind\":3},\"10\":{\"temp\":6,\"pressure\":1004,\"humidity\":82,\"icon\":\"04d\",\"wind\":4},\"13\":{\"temp\":7,\"pressure\":1004,\"humidity\":73,\"icon\":\"04d\",\"wind\":5},\"16\":{\"temp\":4,\"pressure\":1006,\"humidity\":92,\"icon\":\"10d\",\"wind\":5},\"19\":{\"temp\":4,\"pressure\":1008,\"humidity\":94,\"icon\":\"10d\",\"wind\":5},\"22\":{\"temp\":3,\"pressure\":1009,\"humidity\":97,\"icon\":\"10d\",\"wind\":6}}}}' WHERE id = 14275 LIMIT 1 |
0 | SELECT * FROM `region` WHERE id = 168 LIMIT 1 |
2 | SELECT * FROM `item` WHERE `locality_id` = 14275 ORDER BY count_views LIMIT 12 |
0 | SELECT * FROM `region` WHERE id IN ('168') LIMIT 1 |
0 | SELECT * FROM `locality` WHERE id IN ('14275') LIMIT 1 |
1 | SELECT * FROM `photos` WHERE `item_id` IN ('261128','261112','261019','261186','261127','261052','261377','261364','261072','261090') |
0 | SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('261128','261112','261019','261186','261127','261052','261377','261364','261072','261090') |
0 | SELECT * FROM `category` WHERE id IN ('96','167','106','107','108','109','97','98','99') LIMIT 9 |
1 | SELECT * FROM `reviews` WHERE `status` = 1 AND `locality_id` = 14275 AND `date` < '2024-04-27 04:10:19' ORDER BY `date` DESC LIMIT 3 |
3 | SELECT locality_id, category_id FROM `category_item` WHERE locality_id = 14275 GROUP BY locality_id, category_id |
0 | SELECT * FROM `category` WHERE `id` IN ('96','97','98','99','106','107','108','109','167') ORDER BY name |
0 | SELECT * FROM counts where updated="2024-04-27" and table_name like 'news' |
0 | SELECT * FROM counts where updated="2024-04-27" and table_name like 'news' |
1 | SELECT * FROM `category` ORDER BY name |
4 | SELECT * FROM `item` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `item`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 4 |
0 | SELECT * FROM `region` WHERE id IN ('178','174') LIMIT 2 |
0 | SELECT * FROM `locality` WHERE id IN ('17618','16088','16107','17900') LIMIT 4 |
1 | SELECT * FROM `photos` WHERE `item_id` IN ('316248','316249','316250','316251') |
1 | SELECT * FROM `locality` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `locality`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 7 |
0 | SELECT * FROM `region` WHERE id IN ('168') LIMIT 1 |