Service garde chien à 10120 Saint-pouange

1. 0.0002

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='garde-d-animaux'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=45

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('10' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='10120' AND ville_nom like '%saint%pouange%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%garde%animaux%' OR ssrubr_title like '%garde%animaux%' OR ssrubr_slug like '%garde%animaux%') AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0003

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='10120'

12. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.053435678816 AND ville_latitude_deg<48.413164321184 AND ville_longitude_deg>3.7133031841369 AND ville_longitude_deg<4.2533568158631 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chien; pet sitter; petsitter; garde animaux'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp like '10120%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug='chien;-pet-sitter;-petsitter;-garde-animaux' OR (ssrubr_title like '%chien; pet sitter; petsitter; garde animaux%')) AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='garde-animaux' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='10120'

19. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.053435678816 AND ville_latitude_deg<48.413164321184 AND ville_longitude_deg>3.7133031841369 AND ville_longitude_deg<4.2533568158631 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0047

    SELECT ville_cp, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.783639197041 AND ville_latitude_deg<48.682960802959 AND ville_longitude_deg>3.308257139136 AND ville_longitude_deg<4.658402860864 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0078

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp IN (10120,10120,10190,10120,10320,10320,10440,10120,10190,29190,29590,10320,10440,10430,10190,10800,10120,10320,10320,10300,10190,10320,10800,10420,10320,10800,10450,10800,10320,10300,10300,10800,10800,10190,10800,10190,10190,10000,10320,10320,10800,10800,10800,10320,10320,10800,10600,10320,10150,10600,10320,10390,10160,10800,10410,10150,10320,10190,10800,10130,10130,10800,10150,10190,10600,10180,10130,10130,10190,10410,10160,10600,10410,10260,10160,10130,10190,10150,10410,10260,10350,10270,10160,10390,10600,10600,10350,10270,10190,10150,10130,10600,10190,10160,10270,10260,10270,10270,10260,10130,10210,10260,10160,10130) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (16601,78530,130856,183031,265734,300910,310980,127423,359002)

23. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 16601 AND W.type_id = 1) OR (W.util_id <> 16601 AND W.type_id = 2)) AND (M.post_util_id = 16601 OR M.dest_util_id = 16601) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=16601 AND note_visu IN (1,3,4)

25. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 78530 AND W.type_id = 1) OR (W.util_id <> 78530 AND W.type_id = 2)) AND (M.post_util_id = 78530 OR M.dest_util_id = 78530) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=78530 AND note_visu IN (1,3,4)

27. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 130856 AND W.type_id = 1) OR (W.util_id <> 130856 AND W.type_id = 2)) AND (M.post_util_id = 130856 OR M.dest_util_id = 130856) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=130856 AND note_visu IN (1,3,4)

29. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 183031 AND W.type_id = 1) OR (W.util_id <> 183031 AND W.type_id = 2)) AND (M.post_util_id = 183031 OR M.dest_util_id = 183031) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=183031 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 265734 AND W.type_id = 1) OR (W.util_id <> 265734 AND W.type_id = 2)) AND (M.post_util_id = 265734 OR M.dest_util_id = 265734) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=265734 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 300910 AND W.type_id = 1) OR (W.util_id <> 300910 AND W.type_id = 2)) AND (M.post_util_id = 300910 OR M.dest_util_id = 300910) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=300910 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 310980 AND W.type_id = 1) OR (W.util_id <> 310980 AND W.type_id = 2)) AND (M.post_util_id = 310980 OR M.dest_util_id = 310980) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=310980 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 127423 AND W.type_id = 1) OR (W.util_id <> 127423 AND W.type_id = 2)) AND (M.post_util_id = 127423 OR M.dest_util_id = 127423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=127423 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 359002 AND W.type_id = 1) OR (W.util_id <> 359002 AND W.type_id = 2)) AND (M.post_util_id = 359002 OR M.dest_util_id = 359002) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=359002 AND note_visu IN (1,3,4)

41. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='10120'

42. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.053435678816 AND ville_latitude_deg<48.413164321184 AND ville_longitude_deg>3.7133031841369 AND ville_longitude_deg<4.2533568158631 HAVING distance <= 20 ORDER BY distance ASC

43. 0.0041

    SELECT ville_cp, ROUND((((acos(sin((48.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.783639197041 AND ville_latitude_deg<48.682960802959 AND ville_longitude_deg>3.308257139136 AND ville_longitude_deg<4.658402860864 HAVING distance <= 50 ORDER BY distance ASC

44. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id IN (951)

45. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (183031,359002,265734,310980,78530,16601,300910,127423,130856)

46. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (183031,359002,265734,310980,78530,16601,300910,127423,130856)

47. 0.0002

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug like '%chien; pet sitter; petsitter; garde animaux%' OR MATCH (ssrubr_slug) AGAINST ('(+chien; +pet +sitter; +petsitter; +garde +animaux)')) AND sk.ssrubr_id='951' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 0.0002

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 3 AND ss.cate_id = 45 AND ss.ssrubr_id <> 951 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='951' AND actu_niveau=0 ORDER BY actu_ordre DESC

50. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

51. 0.0002

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

52. 0.0002

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (45) ORDER BY ssrubr_order ASC

53. 0.0011

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

54. 0.0219

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

55. 0.0164

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

55 requetes sql en 0.0674