Plumber in Oxford

The current catalog of companies that belong to the category - Plumber. We will help you find any company in Oxford (England). You can find reviews, addresses and phone numbers, and also add your organization to the directory.

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Types of companies

0SELECT * FROM `locality` WHERE url = 'oxford-eng' LIMIT 1
0SELECT * FROM `region` WHERE id = 1 LIMIT 1
0SELECT * FROM `category` WHERE url = 'plumber' LIMIT 1
14SELECT COUNT(*) FROM `category_item` WHERE locality_id = 5947 AND category_id = 20
7SELECT * FROM category_item INNER JOIN item ON category_item.item_id = item.id WHERE category_item.locality_id = 5947 AND category_item.category_id = 20 ORDER BY item.name LIMIT 0,24
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1SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('267069','267152','267088','267073','264991','446331','267074','267059','445341','181633','403941','267269','267071','181522','267189')
0SELECT * FROM `category` WHERE id IN ('1','8','11','20') LIMIT 4
2SELECT locality_id, category_id FROM `category_item` WHERE locality_id = 5947 GROUP BY locality_id, category_id
1SELECT * FROM `category` WHERE `id` IN ('1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','51','52','53','54','55','58','59','60','61','62','63','64','65','66','67','68','69','72','74','75','77','78','79','80','82','83','84','85','88','89','92','96') ORDER BY name
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'news'
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'news'
1SELECT * FROM `category` ORDER BY name
1SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
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0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
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0SELECT * FROM `photos` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `photos`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 1
7SELECT * FROM `item` WHERE `id` IN ('910195','749845','927250','302375','645368','173895','475934','682938','872690','941491','148262','471611')
0SELECT * FROM `region` WHERE id IN ('1','4') LIMIT 2
0SELECT * FROM `locality` WHERE id IN ('4942','3740','6959','729','1088','4833','5894','6586','4578','11593') LIMIT 10
0SELECT * FROM `photos` WHERE `item_id` IN ('148262','173895','302375','471611','475934','645368','682938','749845','872690','910195','927250','941491')
1SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('148262','173895','302375','471611','475934','645368','682938','749845','872690','910195','927250','941491')
0SELECT * FROM `category` WHERE id IN ('1','4','10','16','56','86','69','17') LIMIT 8
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'locality'
0SELECT MIN(id) FROM `locality`
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0SELECT * FROM `region` WHERE id IN ('1') LIMIT 1
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'locality'
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'item'
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'reviews'
0SELECT * FROM counts where updated="2020-09-23" and table_name like 'photos'