Location escabeau à 95190 Goussainville

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-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

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='95190' AND ville_nom like '%goussainville%' 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 '%escabeau%' OR ssrubr_title like '%escabeau%' OR ssrubr_slug like '%escabeau%') AND cate_id='87' 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='95190'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>2.175472974903 AND ville_longitude_deg<2.724527025097 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='escabeau'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+escabeau*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95190%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='escabeau' OR ssrubr_slug='escabeau' OR (ssrubr_title like '%escabeau%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='escabeau' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95190'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>2.175472974903 AND ville_longitude_deg<2.724527025097 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0138

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.7636765190362 AND ville_longitude_deg<3.1363234809638 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0966

    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((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- 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='87' AND MATCH (wish_desc) AGAINST ('(+escabeau*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95190,95190,95850,95850,95190,95380,95270,95720,95270,95270,95270,95670,95720,95470,95720,95270,95380,95270,95190,95720,95270,95570,95380,95270,95460,95440,95500,95570,95380,95500,95470,95270,95380,95470,95570,95470,60560,95200,95400,95700,95350,95500,95330,60580,60260,95270,60520,95400,95350,95560,95560,95270,60128,77990,77230,95560,95570,95500,95270,95160,95140,60520,95410,60128,95590,77990,77230,95590,95170,93420,93380,60270,95590,93440,95580,95580,60820,95360,95680,60520,95560,93600,93240,77230,95260,95600,95230,93430,95390,95840,95820,95880,93150,93700,60500,60500,93350,95260,77290,93290,95340,95320,95840,77230,60300,60300,60460,93270,95340,93200,95120,93210,95660,95218,95210,93800,60740,95290,77230,60340,60340,92390,93450,95740,93410,77230,77280,93120,93300,60950,95550,95150,95130,77290,60300,60530,95620,93390,93190,95540,95630,60330,95430,95130,60230,95110,60530,92230,93000,93140,95760,77230,60460,93500,95250,60300,93340,93320,77270,60530,93470,77181,77410,77230,95100,60300,60950,77230,60530,60300) 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 (73908,11298,77289,325611,104588,397323,503469)

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 = 73908 AND W.type_id = 1) OR (W.util_id <> 73908 AND W.type_id = 2)) AND (M.post_util_id = 73908 OR M.dest_util_id = 73908) 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=73908 AND note_visu IN (1,3,4)

25. 0.0004

    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 = 11298 AND W.type_id = 1) OR (W.util_id <> 11298 AND W.type_id = 2)) AND (M.post_util_id = 11298 OR M.dest_util_id = 11298) 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=11298 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 = 77289 AND W.type_id = 1) OR (W.util_id <> 77289 AND W.type_id = 2)) AND (M.post_util_id = 77289 OR M.dest_util_id = 77289) 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=77289 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 = 325611 AND W.type_id = 1) OR (W.util_id <> 325611 AND W.type_id = 2)) AND (M.post_util_id = 325611 OR M.dest_util_id = 325611) 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=325611 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 = 104588 AND W.type_id = 1) OR (W.util_id <> 104588 AND W.type_id = 2)) AND (M.post_util_id = 104588 OR M.dest_util_id = 104588) 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=104588 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 = 397323 AND W.type_id = 1) OR (W.util_id <> 397323 AND W.type_id = 2)) AND (M.post_util_id = 397323 OR M.dest_util_id = 397323) 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=397323 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 = 503469 AND W.type_id = 1) OR (W.util_id <> 503469 AND W.type_id = 2)) AND (M.post_util_id = 503469 OR M.dest_util_id = 503469) 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=503469 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='95190'

38. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>2.175472974903 AND ville_longitude_deg<2.724527025097 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0138

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.7636765190362 AND ville_longitude_deg<3.1363234809638 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 (64)

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 (104588,325611,11298,503469,73908,397323,77289)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (104588,325611,11298,503469,73908,397323,77289)

43. 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='escabeau' OR ssrubr_slug like '%escabeau%' OR MATCH (ssrubr_slug) AGAINST ('(+escabeau)')) AND sk.ssrubr_id='64' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 87 AND ss.ssrubr_id <> 64 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='64' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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

48. 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 (87) ORDER BY ssrubr_order ASC

49. 0.0009

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

50. 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'

51. 0.0164

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

51 requetes sql en 0.1752