Pharmacy in Chelmsford

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

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Types of companies

2SELECT * FROM `locality` WHERE url = 'chelmsford-eng' LIMIT 1
1SELECT * FROM `region` WHERE id = 1 LIMIT 1
0SELECT * FROM `category` WHERE url = 'pharmacy' LIMIT 1
8SELECT COUNT(*) FROM `category_item` WHERE locality_id = 1616 AND category_id = 29
1SELECT * FROM category_item INNER JOIN item ON category_item.item_id = item.id WHERE category_item.locality_id = 1616 AND category_item.category_id = 29 ORDER BY item.name LIMIT 0,24
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0SELECT * FROM `photos` WHERE `item_id` IN ('73327','266347','73323','78474')
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0SELECT * FROM `category` WHERE id IN ('1','29','4') LIMIT 3
1SELECT locality_id, category_id FROM `category_item` WHERE locality_id = 1616 GROUP BY locality_id, category_id
4SELECT * 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','42','43','44','45','46','47','48','49','50','51','52','53','54','55','58','60','61','62','63','64','65','67','68','69','70','71','74','75','77','78','79','81','83','84','85','88','89') ORDER BY name
0SELECT * FROM counts where updated="2020-10-28" and table_name like 'news'
0SELECT * FROM counts where updated="2020-10-28" and table_name like 'news'
1SELECT * FROM `category` ORDER BY name
3SELECT * 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
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
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
3SELECT * 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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3SELECT * FROM `item` WHERE `id` IN ('132347','432291','919932','153389','146651','912130','926211','453463','306498','199970','481732','441969')
0SELECT * FROM `region` WHERE id IN ('3','4','1') LIMIT 3
1SELECT * FROM `locality` WHERE id IN ('10141','11893','7974','11086','8335','2359','4833','117','6940','3497') LIMIT 10
0SELECT * FROM `photos` WHERE `item_id` IN ('132347','146651','153389','199970','306498','432291','441969','453463','481732','912130','919932','926211')
1SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('132347','146651','153389','199970','306498','432291','441969','453463','481732','912130','919932','926211')
0SELECT * FROM `category` WHERE id IN ('1','14','26','27','44','16','11','33','39','4','64','75') LIMIT 12
0SELECT * FROM counts where updated="2020-10-28" and table_name like 'locality'
0SELECT MIN(id) FROM `locality`
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1SELECT * FROM `region` WHERE id IN ('1') LIMIT 1
1SELECT * FROM counts where updated="2020-10-28" and table_name like 'locality'
1SELECT * FROM counts where updated="2020-10-28" and table_name like 'item'
1SELECT * FROM counts where updated="2020-10-28" and table_name like 'reviews'
1SELECT * FROM counts where updated="2020-10-28" and table_name like 'photos'