Location minipelle à 95400 Villiers-le-bel

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='materiel-jardinage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95400' AND ville_nom like '%villiers%le%bel%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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. 0.0021

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%minipelle%' OR ssrubr_title like '%minipelle%' OR ssrubr_slug like '%minipelle%') AND cate_id='88' 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='95400'

12. 0.0028

    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(((2.41667- 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>2.1426026854937 AND ville_longitude_deg<2.6907373145063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='minipelle'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88' AND ssrubr_id='1026' AND wish_visu IN (1,6,10) AND wish_cp like '95400%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='minipelle' OR ssrubr_slug='minipelle' OR (ssrubr_title like '%minipelle%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='minipelle' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95400'

19. 0.0025

    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(((2.41667- 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>2.1426026854937 AND ville_longitude_deg<2.6907373145063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0143

    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(((2.41667- 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>1.7314958054235 AND ville_longitude_deg<3.1018441945765 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0042

    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(((2.41667- 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='88' AND ssrubr_id='1026' AND wish_visu IN (1,6,10) AND wish_cp IN (95400,95400,95140,95500,95500,95200,95400,93440,95720,93380,95350,95500,93240,95440,95410,95360,95190,95500,93350,95720,93150,93700,95170,95350,93430,95160,95460,93200,93210,95720,95700,95880,93300,95190,93120,93600,95330,93450,95380,92390,95230,95580,95580,93420,93800,95570,93500,95720,95850,93000,95570,95190,95600,95218,95210,93140,93270,92230,95680,95380,95120,93400,95270,93230,93260,93310,95380,95570,95380,95850,95270,95390,93130,95570,93340,93320,95560,93290,93390,95380,93190,93410,95110,92600,95560,92110,95670,93250,95320,95100,93170,93100,95270,95270,92270,95560,95560,77990,95130,92300,95270,95130,93110,95470,95270,77990,93220,95840,93470,92700,77181,95470,93370,77290,75004,75003,75002,75005,75000,75001,75010,75006,75007,75116,75020,75019,75018,75017,75016,75015,75014,75013,75012,75011,75009,75008,95590,95270,94300,95270,95270,93360,92250,92400,95470,94120,92200,95150,95550,77270,95870,95240,94170,95470,95250,95840,77230,77230,95740,77181,94160,77230,93460,95370,95270,95590,93330,95530,95270,94130,77500,78500,78800,95270,60128,60560,94360,95540,95220,77290,92000,77410,93160,94220,77410,78420,60260,77230,95480,92150,92800,94200,94205,60520,95590,92170,94410,94270,94340,60580,95260,95430,94350,95630,77177,92500,94250,77230,78600,94500,92120,95260,60128,95290,77420) 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 (20702,74981,223113,82204,443885)

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 = 20702 AND W.type_id = 1) OR (W.util_id <> 20702 AND W.type_id = 2)) AND (M.post_util_id = 20702 OR M.dest_util_id = 20702) 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=20702 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 = 74981 AND W.type_id = 1) OR (W.util_id <> 74981 AND W.type_id = 2)) AND (M.post_util_id = 74981 OR M.dest_util_id = 74981) 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=74981 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 = 223113 AND W.type_id = 1) OR (W.util_id <> 223113 AND W.type_id = 2)) AND (M.post_util_id = 223113 OR M.dest_util_id = 223113) 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=223113 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 = 82204 AND W.type_id = 1) OR (W.util_id <> 82204 AND W.type_id = 2)) AND (M.post_util_id = 82204 OR M.dest_util_id = 82204) 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=82204 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 = 443885 AND W.type_id = 1) OR (W.util_id <> 443885 AND W.type_id = 2)) AND (M.post_util_id = 443885 OR M.dest_util_id = 443885) 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=443885 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95400'

34. 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(((2.41667- 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>2.1426026854937 AND ville_longitude_deg<2.6907373145063 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0148

    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(((2.41667- 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>1.7314958054235 AND ville_longitude_deg<3.1018441945765 HAVING distance <= 50 ORDER BY distance ASC

36. 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 (1026)

37. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (74981,20702,223113,443885,82204)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (74981,20702,223113,443885,82204)

39. 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='minipelle' OR ssrubr_slug like '%minipelle%' OR MATCH (ssrubr_slug) AGAINST ('(+minipelle)')) AND sk.ssrubr_id='1026' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 = 88 AND ss.ssrubr_id <> 1026 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1026' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0001

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

43. 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

44. 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 (88) ORDER BY ssrubr_order ASC

45. 0.0011

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

46. 0.0213

    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'

47. 0.0161

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

47 requetes sql en 0.0865