Service dépannage informatique à 95510 Villers-en-arthies

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 filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95510' AND ville_nom like '%villers%en%arthies%' 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. 0.0001

   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='95510'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 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 MATCH (wish_title,wish_desc) AGAINST ('+informatique; depannage informatique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95510%'

15. 0

    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='95510'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0155

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.0970065190362 AND ville_longitude_deg<2.4696534809638 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0339

    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((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- 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 MATCH (wish_desc) AGAINST ('(+informatique; +depannage +informatique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95510,95510,78440,78440,95510,95510,95420,95420,78440,78440,78440,78440,95510,95420,78440,78440,95780,95450,78250,95450,95450,78520,95450,78520,95420,78440,95510,95420,95420,78440,78840,95780,95450,95420,95420,95450,78820,95710,78250,95420,95420,78270,78520,78250,95450,78250,95510,78200,95450,95710,95450,95780,95420,78440,95450,78970,27630,78250,78250,78270,95750,95420,78711,78200,78410,95640,95710,78130,95450,78520,95450,78200,78410,95450,78680,78710,78200,78270,78740,78200,60240,95420,78410,27620,78270,78410,78840,78930,78930,95450,78410,60240,95640,95640,78740,27620,95450,27630,78200,60240,95770,60240,78930,78270,60240,27630,78930,27630,60240,78200,95750,27630,95180,78130,78126,95650,95650,78580,78930,78930,95800,78200,78920,78270,95770,95770,60240,78580,78200,78930,95830,95000,27420,95650,78270,95640,78480,78580,78270,78200,60240,95830,27630,78790,27720,27620,95650,78270,95640,27630,78510,78200,78540,60240,78630,60240,95490,27630,78200,60240,78200,78790,78790,27620,95280,78270,78980,95640,78580,95640,78980,78124,78790,78580,60240,27420,27420) AND type_id=1 GROUP BY wish_id

22. 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 = 116823 AND W.type_id = 1) OR (W.util_id <> 116823 AND W.type_id = 2)) AND (M.post_util_id = 116823 OR M.dest_util_id = 116823) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=116823 AND note_visu IN (1,3,4)

24. 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 = 122464 AND W.type_id = 1) OR (W.util_id <> 122464 AND W.type_id = 2)) AND (M.post_util_id = 122464 OR M.dest_util_id = 122464) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=122464 AND note_visu IN (1,3,4)

26. 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 = 337063 AND W.type_id = 1) OR (W.util_id <> 337063 AND W.type_id = 2)) AND (M.post_util_id = 337063 OR M.dest_util_id = 337063) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=337063 AND note_visu IN (1,3,4)

28. 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 = 353256 AND W.type_id = 1) OR (W.util_id <> 353256 AND W.type_id = 2)) AND (M.post_util_id = 353256 OR M.dest_util_id = 353256) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=353256 AND note_visu IN (1,3,4)

30. 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 = 358934 AND W.type_id = 1) OR (W.util_id <> 358934 AND W.type_id = 2)) AND (M.post_util_id = 358934 OR M.dest_util_id = 358934) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=358934 AND note_visu IN (1,3,4)

32. 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 = 373781 AND W.type_id = 1) OR (W.util_id <> 373781 AND W.type_id = 2)) AND (M.post_util_id = 373781 OR M.dest_util_id = 373781) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=373781 AND note_visu IN (1,3,4)

34. 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 = 541219 AND W.type_id = 1) OR (W.util_id <> 541219 AND W.type_id = 2)) AND (M.post_util_id = 541219 OR M.dest_util_id = 541219) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=541219 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95510'

37. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0189

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.0970065190362 AND ville_longitude_deg<2.4696534809638 HAVING distance <= 50 ORDER BY distance ASC

39. 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)

40. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (353256,122464,373781,358934,541219,337063,116823)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (353256,122464,373781,358934,541219,337063,116823)

42. 0.0002

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=231 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

43. 0.0001

    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

44. 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

45. 0.0001

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

46. 0

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

47. 0.0001

    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

48. 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

49. 0.0009

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

50. 0.0237

    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'

51. 0.0182

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

51 requetes sql en 0.1241