Service dépannage informatique à 30420 Calvisson

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='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('30' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='30420' AND ville_nom like '%calvisson%' 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 '%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. 0.0002

   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='30420'

12. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.603435678816 AND ville_latitude_deg<43.963164321184 AND ville_longitude_deg>3.9341968981891 AND ville_longitude_deg<4.4324631018109 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0002

    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 '30420%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=231

16. 0.0002

    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='30420'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.603435678816 AND ville_latitude_deg<43.963164321184 AND ville_longitude_deg>3.9341968981891 AND ville_longitude_deg<4.4324631018109 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.333639197041 AND ville_latitude_deg<44.232960802959 AND ville_longitude_deg>3.5604918746907 AND ville_longitude_deg<4.8061681253093 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0032

    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((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- 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 (30420,30420,30111,30870,30114,30980,30114,30250,30870,30670,30250,30250,30250,30980,30121,34400,30310,30250,30920,30660,30620,30820,30600,30730,30250,30620,30250,34400,34160,30250,34400,30250,30540,30730,34400,34400,34160,30250,30250,30730,30470,30620,34400,34160,30600,30260,30260,34590,30260,30640,30730,30260,34160,34160,30740,34400,30730,34160,34160,30260,30000,30900,34160,30510,34160,30730,34160,34160,34400,30260,34130,30132,30190,30260,30260,30220,30260,30190,34160,30350,34400,34160,30190,34130,30260,34670,30260,30260,30350,34670,30190,34160,30128,34160,34130,30190) 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 (6725,288388,428990,146114,546549)

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 = 6725 AND W.type_id = 1) OR (W.util_id <> 6725 AND W.type_id = 2)) AND (M.post_util_id = 6725 OR M.dest_util_id = 6725) 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=6725 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 = 288388 AND W.type_id = 1) OR (W.util_id <> 288388 AND W.type_id = 2)) AND (M.post_util_id = 288388 OR M.dest_util_id = 288388) 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=288388 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 = 428990 AND W.type_id = 1) OR (W.util_id <> 428990 AND W.type_id = 2)) AND (M.post_util_id = 428990 OR M.dest_util_id = 428990) 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=428990 AND note_visu IN (1,3,4)

29. 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 = 146114 AND W.type_id = 1) OR (W.util_id <> 146114 AND W.type_id = 2)) AND (M.post_util_id = 146114 OR M.dest_util_id = 146114) 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=146114 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 = 546549 AND W.type_id = 1) OR (W.util_id <> 546549 AND W.type_id = 2)) AND (M.post_util_id = 546549 OR M.dest_util_id = 546549) 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=546549 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='30420'

34. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.603435678816 AND ville_latitude_deg<43.963164321184 AND ville_longitude_deg>3.9341968981891 AND ville_longitude_deg<4.4324631018109 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((43.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.18333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.333639197041 AND ville_latitude_deg<44.232960802959 AND ville_longitude_deg>3.5604918746907 AND ville_longitude_deg<4.8061681253093 HAVING distance <= 50 ORDER BY distance ASC

36. 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)

37. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (6725,546549,428990,146114,288388)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (6725,546549,428990,146114,288388)

39. 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

40. 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

41. 0.0001

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

42. 0.0001

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

43. 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

44. 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

45. 0.0016

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

46. 0.0328

    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'

47. 0.0193

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

47 requetes sql en 0.079