Location garage (stockage) à 93370 Montfermeil

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='5' AND cate_title_slug='box-stockage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=79

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('93' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93370' AND ville_nom like '%montfermeil%' 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 '%stockage%en%garage%' OR ssrubr_title like '%stockage%en%garage%' OR ssrubr_slug like '%stockage%en%garage%') AND cate_id='79' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0001

   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='93370'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.2930597328734 AND ville_longitude_deg<2.8402802671266 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='garage; stockage en garage'

14. 0.0015

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79' AND ssrubr_id='510' AND wish_visu IN (1,6,10) AND wish_cp like '93370%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=79

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='garage; stockage en garage' OR ssrubr_slug='garage;-stockage-en-garage' OR (ssrubr_title like '%garage; stockage en garage%')) AND cate_id='79' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='stockage-en-garage' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93370'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.2930597328734 AND ville_longitude_deg<2.8402802671266 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.8826384337256 AND ville_longitude_deg<3.2507015662744 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0017

    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((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- 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='79' AND ssrubr_id='510' AND wish_visu IN (1,6,10) AND wish_cp IN (93370,93370,93190,93470,77181,93390,77500,93220,93320,93340,93410,93460,77181,93270,93360,77270,77177,93250,93160,93330,77420,93290,77410,93600,93110,77360,93140,94170,77186,94350,93130,93420,94120,77200,94360,77185,93000,77400,94420,93150,93700,77400,94130,93260,93230,77184,77290,94500,77600,77410,77183,77090,93100,77400,77400,77410,77400,77600,77600,77410,94300,93350,93170,77400,77340,95700,94430,94340,77600,94210,94100,94340,93500,94410,77410,95500,93440,77400,93310,95500,77680,95500,77410,94490,94880,94510,94880,77990,95140,94160,77290,95500,77164,77410,93300,93120,77600,77144,95400,94220,93240,77450,77700,77144,77230,94700,77135,77990,95380,95190,77230,94000,94370,94380,77600,77230,95380,94140,93210,93200,77450,94380,95720,77410,94205,94200,77410,93380,77330,95380,77410,77700,75011,75006,75007,75008,75009,75116,75020,75019,75002,75018,75017,75015,75014,75013,75012,75005,75010,75001,75016,95380,75000,75003,75004,77230,77700,93400,77230,94470,94270,95400,95200,93450,92390,95360,93430,77230,77230,94400,77450,77230,94460,77450,77410,95410,77165,95350,94800,95720,94600,95470,94440,95440,77450,77700,77230,77230,95190,77150,77150,77165,77165,95170,77174,94250,92110,77450,77230,95380,94450,77165,77450,77450,93800,95880,77700,92230,94320) 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 (63657,126748,205377,343091,364310,374094,380960)

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 = 63657 AND W.type_id = 1) OR (W.util_id <> 63657 AND W.type_id = 2)) AND (M.post_util_id = 63657 OR M.dest_util_id = 63657) 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=63657 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 = 126748 AND W.type_id = 1) OR (W.util_id <> 126748 AND W.type_id = 2)) AND (M.post_util_id = 126748 OR M.dest_util_id = 126748) 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=126748 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 = 205377 AND W.type_id = 1) OR (W.util_id <> 205377 AND W.type_id = 2)) AND (M.post_util_id = 205377 OR M.dest_util_id = 205377) 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=205377 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 = 343091 AND W.type_id = 1) OR (W.util_id <> 343091 AND W.type_id = 2)) AND (M.post_util_id = 343091 OR M.dest_util_id = 343091) 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=343091 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 = 364310 AND W.type_id = 1) OR (W.util_id <> 364310 AND W.type_id = 2)) AND (M.post_util_id = 364310 OR M.dest_util_id = 364310) 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=364310 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 = 374094 AND W.type_id = 1) OR (W.util_id <> 374094 AND W.type_id = 2)) AND (M.post_util_id = 374094 OR M.dest_util_id = 374094) 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=374094 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 = 380960 AND W.type_id = 1) OR (W.util_id <> 380960 AND W.type_id = 2)) AND (M.post_util_id = 380960 OR M.dest_util_id = 380960) 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=380960 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93370'

38. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.2930597328734 AND ville_longitude_deg<2.8402802671266 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.8826384337256 AND ville_longitude_deg<3.2507015662744 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (510)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (380960,374094,126748,343091,205377,63657,364310)

42. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (380960,374094,126748,343091,205377,63657,364310)

43. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_title, ss.ssrubr_slug, ss.ssrubr_photo, ss.ssrubr_mail, ss.cate_id, ss.fami_id, c.cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=79 AND ss.fami_id=5 ORDER BY ssrubr_order

44. 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='garage; stockage en garage' OR ssrubr_slug like '%garage; stockage en garage%' OR MATCH (ssrubr_slug) AGAINST ('(+garage; +stockage +en +garage)')) AND sk.ssrubr_id='510' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

45. 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 = 79 AND ss.ssrubr_id <> 510 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

46. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='510' AND actu_niveau=0 ORDER BY actu_ordre DESC

47. 0

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

48. 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

49. 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 (79) ORDER BY ssrubr_order ASC

50. 0.0008

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

51. 0.0246

    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'

52. 0.0332

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

52 requetes sql en 0.0861