Location parasol à 94130 Nogent-sur-marne

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='salle'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=176

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('94' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94130' AND ville_nom like '%nogent%sur%marne%' 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 '%parasol%' OR ssrubr_title like '%parasol%' OR ssrubr_slug like '%parasol%') AND cate_id='176' 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='94130'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.2100841866782 AND ville_longitude_deg<2.7565758133218 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='parasol'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+parasol*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94130%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=176

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='parasol' OR ssrubr_slug='parasol' OR (ssrubr_title like '%parasol%')) AND cate_id='176' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='parasol' AND cate_id='176'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94130'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.2100841866782 AND ville_longitude_deg<2.7565758133218 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0086

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.8002095760945 AND ville_longitude_deg<3.1664504239055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0519

    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((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- 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='176' AND MATCH (wish_desc) AGAINST ('(+parasol*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94130,94130,94120,94340,94170,94360,94410,94500,93110,94210,94100,94340,93330,94300,94430,93360,94350,94160,93100,94700,94220,93130,93250,94000,93170,94140,94420,93160,93230,93260,93220,93460,94880,94490,94880,94380,93140,94200,94205,93340,93320,93000,94400,93310,94370,94380,94270,77420,94600,94510,94800,94460,94470,93500,93370,77340,77185,77184,77500,94320,93190,93390,75006,75018,75019,75020,75002,75009,75010,75001,75116,75000,75017,75016,75007,75008,75005,75004,75011,75012,75013,75003,75015,75014,94310,94390,94450,77186,94250,93150,93700,94190,94110,93270,93470,93300,93120,77181,94290,94440,93350,94550,77177,94237,94234,94235,94233,94232,94238,94239,94240,94231,94236,94230,92120,77200,93410,77360,77680,91330,91560,93600,93400,77090,77183,92170,94150,77181,94440,92240,92340,94480,93440,92220,91200,94440,93210,93200,77600,77270,77150,91800,77170,93240,91230,92320,77400,93290,93420,95500,94260,92110,77410,77330,91550,94520,94520,91270,95140,92390,93450,91320,77150,77400,92330,92260,77600,77600,92130,77164,77400,77135,92140,92160,92300,92200,92350,92600,95500,91860,92100,91800,93380,93430,77600,95400,91210,92230,77400,92290,95360,92190,92360,77400,91480,93800,91260,92400,92270,91370,91300,91420,95500,95500,77400,92250,92800,92150,77173,95700,77600,91480,77400,95880,77290,95410,77170,77410,92700,77380,77600,92210,77144,91170,95200,95400,95170,77410,91160,91380) 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 (175854,256696,339674,351629,353559,530005)

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 = 175854 AND W.type_id = 1) OR (W.util_id <> 175854 AND W.type_id = 2)) AND (M.post_util_id = 175854 OR M.dest_util_id = 175854) 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=175854 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 = 256696 AND W.type_id = 1) OR (W.util_id <> 256696 AND W.type_id = 2)) AND (M.post_util_id = 256696 OR M.dest_util_id = 256696) 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=256696 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 = 339674 AND W.type_id = 1) OR (W.util_id <> 339674 AND W.type_id = 2)) AND (M.post_util_id = 339674 OR M.dest_util_id = 339674) 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=339674 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 = 351629 AND W.type_id = 1) OR (W.util_id <> 351629 AND W.type_id = 2)) AND (M.post_util_id = 351629 OR M.dest_util_id = 351629) 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=351629 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 = 353559 AND W.type_id = 1) OR (W.util_id <> 353559 AND W.type_id = 2)) AND (M.post_util_id = 353559 OR M.dest_util_id = 353559) 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=353559 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 = 530005 AND W.type_id = 1) OR (W.util_id <> 530005 AND W.type_id = 2)) AND (M.post_util_id = 530005 OR M.dest_util_id = 530005) 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=530005 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94130'

36. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.2100841866782 AND ville_longitude_deg<2.7565758133218 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.8002095760945 AND ville_longitude_deg<3.1664504239055 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (929,928)

39. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (351629,353559,339674,530005,256696,175854)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (351629,353559,339674,530005,256696,175854)

41. 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='parasol' OR ssrubr_slug like '%parasol%' OR MATCH (ssrubr_slug) AGAINST ('(+parasol)')) AND sk.ssrubr_id='856' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 176 AND ss.ssrubr_id <> 856 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='856' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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 (176) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 0.0237

    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'

49. 0.0168

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

49 requetes sql en 0.1213