Location objectif appareil à 78360 Montesson

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='materiel-audiovisuel'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=232

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='78360' AND ville_nom like '%montesson%' 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. 0.0011

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%objectif%appareil%photo%' OR ssrubr_title like '%objectif%appareil%photo%' OR ssrubr_slug like '%objectif%appareil%photo%') AND cate_id='232' 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='78360'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.876298272488 AND ville_longitude_deg<2.423701727512 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='objectif; objectif appareil photo'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='232' AND ssrubr_id='645' AND wish_visu IN (1,6,10) AND wish_cp like '78360%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=232

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='objectif; objectif appareil photo' OR ssrubr_slug='objectif;-objectif-appareil-photo' OR (ssrubr_title like '%objectif; objectif appareil photo%')) AND cate_id='232' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='objectif-appareil-photo' AND cate_id='232'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78360'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.876298272488 AND ville_longitude_deg<2.423701727512 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0077

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.4657397807905 AND ville_longitude_deg<2.8342602192095 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0008

    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((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- 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='232' AND ssrubr_id='645' AND wish_visu IN (1,6,10) AND wish_cp IN (78360,78360,78420,78600,78110,78800,78600,78400,92000,78230,78500,78560,95870,78100,92500,78380,78290,95530,78430,78750,78112,92700,78160,78170,92250,78300,92400,95370,95100,78260,78620,92150,92800,78700,95240,92270,92380,78240,78870,95110,78955,92200,95220,92420,92430,95130,78570,78150,78590,92210,92300,78240,92600,78150,92410,78780,95130,92230,92110,95480,95218,95210,95120,78570,78670,78670,95610,95250,92310,78590,92100,93800,78630,78860,95000,78000,78220,78140,95230,78510,95320,78330,78540,95880,95600,78450,92370,93450,92390,93400,92360,92190,95550,95150,95280,95390,92130,78480,78450,95000,95580,95580,78210,92170,78810,93430,95680,95310,95300,95170,93200,93210,95490,92140,75003,75019,75012,75002,75013,75014,75015,75016,75011,75017,75010,75009,75018,75005,75000,75006,75001,75020,75004,75007,75116,75008,95740,95000,92240,95360,78630,78390,92320,78121,95160,95410,95180,78340,92120,95840,78530,78350,78350,95430,93380,78130,78810,95800,92220,93300,78580,93120,95300,95540,95560,92350,78740,94250,78920,93240,95650,95520,92330,95840,92260,78280,95350,95350,78740,93500,78370,95570,78190,78850,95330,93310,94110,78117,95650,78180,92290,95630,95430,78410,91570,94270,95400,78130,95200,95650,95450,93350,78580,93440,92340,78960,95560,95570,94231,94239,94238,94237,94236,94235,94234,94233,94240,94232,94230) 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 (307043,354451,54579,457299,461859,484644,525341,547641)

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 = 307043 AND W.type_id = 1) OR (W.util_id <> 307043 AND W.type_id = 2)) AND (M.post_util_id = 307043 OR M.dest_util_id = 307043) 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=307043 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 = 354451 AND W.type_id = 1) OR (W.util_id <> 354451 AND W.type_id = 2)) AND (M.post_util_id = 354451 OR M.dest_util_id = 354451) 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=354451 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 = 54579 AND W.type_id = 1) OR (W.util_id <> 54579 AND W.type_id = 2)) AND (M.post_util_id = 54579 OR M.dest_util_id = 54579) 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=54579 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 = 457299 AND W.type_id = 1) OR (W.util_id <> 457299 AND W.type_id = 2)) AND (M.post_util_id = 457299 OR M.dest_util_id = 457299) 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=457299 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 = 461859 AND W.type_id = 1) OR (W.util_id <> 461859 AND W.type_id = 2)) AND (M.post_util_id = 461859 OR M.dest_util_id = 461859) 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=461859 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 = 484644 AND W.type_id = 1) OR (W.util_id <> 484644 AND W.type_id = 2)) AND (M.post_util_id = 484644 OR M.dest_util_id = 484644) 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=484644 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 = 525341 AND W.type_id = 1) OR (W.util_id <> 525341 AND W.type_id = 2)) AND (M.post_util_id = 525341 OR M.dest_util_id = 525341) 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=525341 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 = 547641 AND W.type_id = 1) OR (W.util_id <> 547641 AND W.type_id = 2)) AND (M.post_util_id = 547641 OR M.dest_util_id = 547641) 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=547641 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='78360'

40. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.876298272488 AND ville_longitude_deg<2.423701727512 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.4657397807905 AND ville_longitude_deg<2.8342602192095 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 (645)

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 (54579,547641,525341,484644,461859,457299,354451,307043)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (54579,547641,525341,484644,461859,457299,354451,307043)

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='objectif; objectif appareil photo' OR ssrubr_slug like '%objectif; objectif appareil photo%' OR MATCH (ssrubr_slug) AGAINST ('(+objectif; +objectif +appareil +photo)')) AND sk.ssrubr_id='645' 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 = 232 AND ss.ssrubr_id <> 645 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='645' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

    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 (232) 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. 0.0216

    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. 0.0163

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

53 requetes sql en 0.0678