Service dépannage informatique à 31790 Saint-jory

1. 0.0001

   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='depanneur-reparateur'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=231

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('31' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='31790' AND ville_nom like '%saint%jory%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%depannage%informatique%' OR ssrubr_title like '%depannage%informatique%' OR ssrubr_slug like '%depannage%informatique%') AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0002

    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='31790'

12. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.553435678816 AND ville_latitude_deg<43.913164321184 AND ville_longitude_deg>1.1344049960777 AND ville_longitude_deg<1.6322550039223 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='informatique; depannage informatique'

14. 0.0022

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231' AND ssrubr_id='975' AND wish_visu IN (1,6,10) AND wish_cp like '31790%'

15. 0

    SELECT * FROM texte WHERE cate_id=231

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='informatique; depannage informatique' OR ssrubr_slug='informatique;-depannage-informatique' OR (ssrubr_title like '%informatique; depannage informatique%')) AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='depannage-informatique' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='31790'

19. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.553435678816 AND ville_latitude_deg<43.913164321184 AND ville_longitude_deg>1.1344049960777 AND ville_longitude_deg<1.6322550039223 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0056

    SELECT ville_cp, ROUND((((acos(sin((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.283639197041 AND ville_latitude_deg<44.182960802959 AND ville_longitude_deg>0.76101212389839 AND ville_longitude_deg<2.0056478761016 HAVING distance <= 50 ORDER BY distance ASC

21. 0.003

    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((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- 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='231' AND ssrubr_id='975' AND wish_visu IN (1,6,10) AND wish_cp IN (31790,31790,31150,31790,31150,31150,31150,31620,31840,31140,31620,31330,31780,31150,31620,31620,31620,31620,31700,31140,31140,31840,31140,31140,31140,31330,31330,31340,31140,31620,31380,31180,31700,31380,31240,31700,31700,31700,31530,31180,82170,31620,31240,31330,31180,31620,31530,31770,31380,31180,82170,82170,31530,31850,31330,31340,31820,31380,31380,82170,82600,31090,31004,31500,31400,31300,31043,31000,31200,31100,31530,31130,31330,31340,31130,31530,31490,31170,31380,82370,31340,82600,31380,31380,31530,82170,31490,31340,31340,31850,31340,82370,31590,31330,82600,31380,82170,82370,82370,31530,31590,31880,31830,31530,82170) 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 (20124,113182,63880,137833,13937,288097,296507,355107,413032,487021,497337,142527)

23. 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 = 20124 AND W.type_id = 1) OR (W.util_id <> 20124 AND W.type_id = 2)) AND (M.post_util_id = 20124 OR M.dest_util_id = 20124) 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=20124 AND note_visu IN (1,3,4)

25. 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 = 113182 AND W.type_id = 1) OR (W.util_id <> 113182 AND W.type_id = 2)) AND (M.post_util_id = 113182 OR M.dest_util_id = 113182) 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=113182 AND note_visu IN (1,3,4)

27. 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 = 63880 AND W.type_id = 1) OR (W.util_id <> 63880 AND W.type_id = 2)) AND (M.post_util_id = 63880 OR M.dest_util_id = 63880) 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=63880 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 = 137833 AND W.type_id = 1) OR (W.util_id <> 137833 AND W.type_id = 2)) AND (M.post_util_id = 137833 OR M.dest_util_id = 137833) 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=137833 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 = 13937 AND W.type_id = 1) OR (W.util_id <> 13937 AND W.type_id = 2)) AND (M.post_util_id = 13937 OR M.dest_util_id = 13937) 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=13937 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 = 288097 AND W.type_id = 1) OR (W.util_id <> 288097 AND W.type_id = 2)) AND (M.post_util_id = 288097 OR M.dest_util_id = 288097) 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=288097 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 = 296507 AND W.type_id = 1) OR (W.util_id <> 296507 AND W.type_id = 2)) AND (M.post_util_id = 296507 OR M.dest_util_id = 296507) 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=296507 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 = 355107 AND W.type_id = 1) OR (W.util_id <> 355107 AND W.type_id = 2)) AND (M.post_util_id = 355107 OR M.dest_util_id = 355107) 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=355107 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 = 413032 AND W.type_id = 1) OR (W.util_id <> 413032 AND W.type_id = 2)) AND (M.post_util_id = 413032 OR M.dest_util_id = 413032) 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=413032 AND note_visu IN (1,3,4)

41. 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 = 487021 AND W.type_id = 1) OR (W.util_id <> 487021 AND W.type_id = 2)) AND (M.post_util_id = 487021 OR M.dest_util_id = 487021) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=487021 AND note_visu IN (1,3,4)

43. 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 = 497337 AND W.type_id = 1) OR (W.util_id <> 497337 AND W.type_id = 2)) AND (M.post_util_id = 497337 OR M.dest_util_id = 497337) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=497337 AND note_visu IN (1,3,4)

45. 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 = 142527 AND W.type_id = 1) OR (W.util_id <> 142527 AND W.type_id = 2)) AND (M.post_util_id = 142527 OR M.dest_util_id = 142527) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=142527 AND note_visu IN (1,3,4)

47. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='31790'

48. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.553435678816 AND ville_latitude_deg<43.913164321184 AND ville_longitude_deg>1.1344049960777 AND ville_longitude_deg<1.6322550039223 HAVING distance <= 20 ORDER BY distance ASC

49. 0.0044

    SELECT ville_cp, ROUND((((acos(sin((43.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.283639197041 AND ville_latitude_deg<44.182960802959 AND ville_longitude_deg>0.76101212389839 AND ville_longitude_deg<2.0056478761016 HAVING distance <= 50 ORDER BY distance ASC

50. 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 (975)

51. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (13937,142527,413032,288097,137833,113182,497337,355107,296507,63880,20124,487021)

52. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (13937,142527,413032,288097,137833,113182,497337,355107,296507,63880,20124,487021)

53. 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='informatique; depannage informatique' OR ssrubr_slug like '%informatique; depannage informatique%' OR MATCH (ssrubr_slug) AGAINST ('(+informatique; +depannage +informatique)')) AND sk.ssrubr_id='975' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 = 231 AND ss.ssrubr_id <> 975 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='975' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0

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

57. 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

58. 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 (231) ORDER BY ssrubr_order ASC

59. 0.0009

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

60. 0.0236

    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'

61. 0.0168

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

61 requetes sql en 0.0667