Location chaînes neige à 78130 Mureaux

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='5' AND cate_title_slug='outillage-mecanique-automobile'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78130' AND ville_nom like '%mureaux%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%chaine%a%neige%' OR ssrubr_title like '%chaine%a%neige%' OR ssrubr_slug like '%chaine%a%neige%') AND cate_id='227' 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='78130'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.6593539337662 AND ville_longitude_deg<2.2073060662338 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chaine neige; chaine a neige'

14. 0.0035

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227' AND ssrubr_id='725' AND wish_visu IN (1,6,10) AND wish_cp like '78130%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='chaine neige; chaine a neige' OR ssrubr_slug='chaine-neige;-chaine-a-neige' OR (ssrubr_title like '%chaine neige; chaine a neige%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chaine-a-neige' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78130'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.6593539337662 AND ville_longitude_deg<2.2073060662338 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0168

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.2483839280719 AND ville_longitude_deg<2.6182760719281 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((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- 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='5' AND cate_id='227' AND ssrubr_id='725' AND wish_visu IN (1,6,10) AND wish_cp IN (78130,78130,78920,78410,78540,78630,78130,78480,78250,78410,78510,78670,78670,78250,78580,78740,78250,78250,78740,78410,78580,95180,78630,78820,78126,78250,95000,95450,78410,78410,78570,78955,78580,78580,78680,95800,95450,78124,95280,78121,78440,78300,95450,78250,78240,78260,78970,78570,95490,78780,78240,78124,78440,78440,95650,95450,78810,95000,78810,78440,78440,95450,78440,95000,78440,78580,78440,78700,78770,78930,95450,78850,95450,78100,95650,95610,78930,78112,95450,78450,95650,95650,95450,78650,78440,78770,78230,78860,78750,78600,78520,95520,78620,78770,95450,78640,78930,95300,78440,78440,78770,78110,95510,95450,78770,78160,78200,78711,78200,78600,78930,78450,95650,78590,78770,95310,78560,78930,78790,78790,95300,95420,78650,95450,78370,95450,78520,78360,95450,78640,78870,78340,78640,78770,78590,95830,78640,95510,78430,95220,78930,78930,95830,95480,78490,78200,95530,95510,78790,95370,78500,78400,78290,78380,95420,95420,95640,95640,78520,95640,78330,78790,78420,95300,95810,78490,78910,95450,95420,78390,78200,78910,95240,78200,78790,78150) 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 (71936,183233,287608,397435,330287,243055,470894,428445)

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 = 71936 AND W.type_id = 1) OR (W.util_id <> 71936 AND W.type_id = 2)) AND (M.post_util_id = 71936 OR M.dest_util_id = 71936) 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=71936 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 = 183233 AND W.type_id = 1) OR (W.util_id <> 183233 AND W.type_id = 2)) AND (M.post_util_id = 183233 OR M.dest_util_id = 183233) 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=183233 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 = 287608 AND W.type_id = 1) OR (W.util_id <> 287608 AND W.type_id = 2)) AND (M.post_util_id = 287608 OR M.dest_util_id = 287608) 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=287608 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 = 397435 AND W.type_id = 1) OR (W.util_id <> 397435 AND W.type_id = 2)) AND (M.post_util_id = 397435 OR M.dest_util_id = 397435) 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=397435 AND note_visu IN (1,3,4)

31. 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 = 330287 AND W.type_id = 1) OR (W.util_id <> 330287 AND W.type_id = 2)) AND (M.post_util_id = 330287 OR M.dest_util_id = 330287) 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=330287 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 = 243055 AND W.type_id = 1) OR (W.util_id <> 243055 AND W.type_id = 2)) AND (M.post_util_id = 243055 OR M.dest_util_id = 243055) 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=243055 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 = 470894 AND W.type_id = 1) OR (W.util_id <> 470894 AND W.type_id = 2)) AND (M.post_util_id = 470894 OR M.dest_util_id = 470894) 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=470894 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 = 428445 AND W.type_id = 1) OR (W.util_id <> 428445 AND W.type_id = 2)) AND (M.post_util_id = 428445 OR M.dest_util_id = 428445) 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=428445 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78130'

40. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.6593539337662 AND ville_longitude_deg<2.2073060662338 HAVING distance <= 20 ORDER BY distance ASC

41. 0.015

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.2483839280719 AND ville_longitude_deg<2.6182760719281 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (725)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (428445,470894,243055,397435,71936,330287,287608,183233)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (428445,470894,243055,397435,71936,330287,287608,183233)

45. 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='chaine neige; chaine a neige' OR ssrubr_slug like '%chaine neige; chaine a neige%' OR MATCH (ssrubr_slug) AGAINST ('(+chaine +neige; +chaine +a +neige)')) AND sk.ssrubr_id='725' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 0.0003

    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 = 5 AND ss.cate_id = 227 AND ss.ssrubr_id <> 725 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='725' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

50. 0.0003

    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 (227) ORDER BY ssrubr_order ASC

51. 0.001

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

52. 0.0248

    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'

53. 0.0199

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

53 requetes sql en 0.0969