chain_id , store_id, chain_name, chain_mobile, chain_telephone, chain_contacter, chain_lng, chain_lat, chain_district_info, chain_district_id, chain_address, chain_opening_hours, chain_close_hours, chain_traffic_line, chain_img, chain_time SELECT *, (round(6378.138 * 2 * asin(sqrt(pow(sin( (chain_lat * pi() / 180 - #{params.lat} * pi() / 180) / 2), 2) + cos(chain_lat * pi() / 180) * cos(#{params.lat} * pi() / 180) * pow(sin( (chain_lng * pi() / 180 - #{params.lng} * pi() / 180) / 2), 2))) * 1000)) as distance FROM shop_chain_base chain_id IN #{chain_id} HAVING distance < #{params.distance} ORDER BY distance ASC select count(1) from ( SELECT *, (round(6378.138 * 2 * asin(sqrt(pow(sin( (chain_lat * pi() / 180 - #{params.lat} * pi() / 180) / 2), 2) + cos(chain_lat * pi() / 180) * cos(#{params.lat} * pi() / 180) * pow(sin( (chain_lng * pi() / 180 - #{params.lng} * pi() / 180) / 2), 2))) * 1000)) as distance FROM shop_chain_base chain_id IN #{chain_id} HAVING distance < #{params.distance} ORDER BY distance ASC ) as tmp SELECT *, calculated_distance as distance FROM ( SELECT *, (round(6378.138 * 2 * asin(sqrt( pow(sin((chain_lat * pi() / 180 - #{params.lat} * pi() / 180) / 2), 2) + cos(chain_lat * pi() / 180) * cos( #{params.lat} * pi() / 180) * pow(sin((chain_lng * pi() / 180 - #{params.lng} * pi() / 180) / 2), 2))) * 1000)) as calculated_distance FROM shop_chain_base ) AS temp store_id=#{params.store_id} HAVING distance < #{params.distance} ORDER BY distance ASC select count(1) from ( SELECT *, calculated_distance as distance FROM ( SELECT *, (round(6378.138 * 2 * asin(sqrt( pow(sin((chain_lat * pi() / 180 - #{params.lat} * pi() / 180) / 2), 2) + cos(chain_lat * pi() / 180) * cos( #{params.lat} * pi() / 180) * pow(sin((chain_lng * pi() / 180 - #{params.lng} * pi() / 180) / 2), 2))) * 1000)) as calculated_distance FROM shop_chain_base ) AS temp store_id=#{params.store_id} HAVING distance < #{params.distance} ORDER BY distance ASC ) as tmp