Location barres de toit à 78570 Andrésy

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='78570' AND ville_nom like '%andresy%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%barres%de%toit%' OR ssrubr_title like '%barres%de%toit%' OR ssrubr_slug like '%barres%de%toit%') AND cate_id='227' 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. 0.0003

    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='78570'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>1.7926026854937 AND ville_longitude_deg<2.3407373145063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='barres de toit'

14. 0.0035

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227' AND ssrubr_id='870' AND wish_visu IN (1,6,10) AND wish_cp like '78570%'

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='barres de toit' OR ssrubr_slug='barres-de-toit' OR (ssrubr_title like '%barres de toit%')) 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='barres-de-toit' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78570'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>1.7926026854937 AND ville_longitude_deg<2.3407373145063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.3814958054235 AND ville_longitude_deg<2.7518441945765 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((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- 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='870' AND wish_visu IN (1,6,10) AND wish_cp IN (78570,78570,78260,78780,78700,78570,95000,78955,95280,95610,78510,95000,78300,95490,78480,78670,78670,95000,78540,78600,95180,78600,95800,95220,95300,78740,95480,95310,95650,95370,95530,95520,78740,78500,78100,78230,78360,78240,95300,78630,95650,95240,78130,78110,78240,95450,95250,78130,78112,95650,78750,78630,78420,95450,78920,78250,78560,95430,95650,95650,95130,78800,95550,95150,95870,95130,78410,78250,95450,78400,78250,78620,78160,95300,95740,78580,95540,92000,95450,78430,95110,78250,78250,78380,78290,95300,95320,95100,95120,78410,95630,95430,95450,78121,92500,78590,95810,78870,78810,95450,95390,95830,78860,95840,95840,92700,95830,95450,78580,78410,78820,95600,95210,95218,78450,78170,95760,78810,95680,78580,92250,95560,92270,95450,92400,95810,78590,78250,78126,95230,78450,95810,78150,95580,95580,95450,78124,78410,78410,78440,78580,95450,95690,92150,92800,92600,92380,92230,93800,78150,78440,92300,95880,95450,92200,78124,95450,78850,95620,92420,92430,95810,95570,78440,78330,78680,95810,95640,95640,95690,78440,95640,95290,95450,92210,95590,95560,92110,95170,95640,95690,78340,95450,95160,78970,92410,95690,95640) 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 (162904,165638,243055,294890,234871,292671,20385,527546)

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 = 162904 AND W.type_id = 1) OR (W.util_id <> 162904 AND W.type_id = 2)) AND (M.post_util_id = 162904 OR M.dest_util_id = 162904) 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=162904 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 = 165638 AND W.type_id = 1) OR (W.util_id <> 165638 AND W.type_id = 2)) AND (M.post_util_id = 165638 OR M.dest_util_id = 165638) 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=165638 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 = 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 <> ''

28. 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)

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 = 294890 AND W.type_id = 1) OR (W.util_id <> 294890 AND W.type_id = 2)) AND (M.post_util_id = 294890 OR M.dest_util_id = 294890) 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=294890 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 = 234871 AND W.type_id = 1) OR (W.util_id <> 234871 AND W.type_id = 2)) AND (M.post_util_id = 234871 OR M.dest_util_id = 234871) 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=234871 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 = 292671 AND W.type_id = 1) OR (W.util_id <> 292671 AND W.type_id = 2)) AND (M.post_util_id = 292671 OR M.dest_util_id = 292671) 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=292671 AND note_visu IN (1,3,4)

35. 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 = 20385 AND W.type_id = 1) OR (W.util_id <> 20385 AND W.type_id = 2)) AND (M.post_util_id = 20385 OR M.dest_util_id = 20385) 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=20385 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 = 527546 AND W.type_id = 1) OR (W.util_id <> 527546 AND W.type_id = 2)) AND (M.post_util_id = 527546 OR M.dest_util_id = 527546) 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=527546 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='78570'

40. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>1.7926026854937 AND ville_longitude_deg<2.3407373145063 HAVING distance <= 20 ORDER BY distance ASC

41. 0.015

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.3814958054235 AND ville_longitude_deg<2.7518441945765 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 (870)

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 (243055,234871,294890,292671,162904,527546,165638,20385)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (243055,234871,294890,292671,162904,527546,165638,20385)

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='barres de toit' OR ssrubr_slug like '%barres de toit%' OR MATCH (ssrubr_slug) AGAINST ('(+barres +de +toit)')) AND sk.ssrubr_id='870' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 5 AND ss.cate_id = 227 AND ss.ssrubr_id <> 870 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='870' 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. 0.0001

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

50. 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 (227) ORDER BY ssrubr_order ASC

51. 0.0011

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

52. 0.026

    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. 0.0181

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

53 requetes sql en 0.0941