Location parasol à 93500 Pantin

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='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 filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93500' AND ville_nom like '%pantin%' 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. 0.0002

   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. 0.0002

   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='93500'

12. 0.0029

    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(((2.4- 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>2.1263897328734 AND ville_longitude_deg<2.6736102671266 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='parasol'

14. 0.0006

    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 '93500%'

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='93500'

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(((2.4- 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>2.1263897328734 AND ville_longitude_deg<2.6736102671266 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0069

    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(((2.4- 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>1.7159684337256 AND ville_longitude_deg<3.0840315662744 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0797

    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(((2.4- 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 (93500,93500,93310,93300,93120,93230,93260,93000,93350,93170,93100,93200,93210,93400,93140,93150,93700,93130,93440,93240,75014,75015,75116,75019,75016,75017,75018,75013,75000,75002,75003,75004,75005,75007,75006,75020,75008,75009,75010,75011,75012,75001,94300,92390,93450,93110,92110,95140,94160,93250,93430,93380,95500,92230,94120,95360,92600,93340,92300,93320,93800,94170,93360,94200,95400,94220,94205,94270,95880,94130,92200,92270,93220,95500,95410,93600,94410,93270,92170,95170,94250,94340,92400,92250,92120,92700,93390,93190,95200,95400,94140,93330,95210,95218,94360,95350,94800,94700,95230,92240,95500,94110,95160,93370,93420,95100,94500,95500,93410,92150,93460,92800,94400,95440,95720,95110,92100,94350,95580,95580,94340,92220,94100,94210,93160,95120,92130,95350,93470,77181,94238,94239,95190,94237,94000,94232,94231,94234,94230,94235,94240,94233,94236,95870,95600,95700,92320,94430,93290,92000,78800,92500,77500,92140,94600,94320,95720,92210,95460,92340,94550,95130,94420,92190,92360,95680,92330,92260,95330,77420,78420,77181,94380,95390,92350,77270,95130,95380,95720,94310,94390,78500,95320,94880,94880,94490,95570,95190,94150,92380,77177,95240,92310,95570,92410,94460,95530,77185,92290,94370,94380,94260,77186,92430,92420,95570,92160,95370,77290,77410,77184,78360,78400,92370,95380,95720,94290,77360,94510,95850,94470,77340,94190,95190,78600,78170,77200,91320,95380,95560,91370,78140,94450,95560,95380,95250,77990,78380,78290,95560,95840,95380,77990,95550,95150) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 2546 AND W.type_id = 1) OR (W.util_id <> 2546 AND W.type_id = 2)) AND (M.post_util_id = 2546 OR M.dest_util_id = 2546) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=2546 AND note_visu IN (1,3,4)

24. 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 <> ''

25. 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)

26. 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 = 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 <> ''

27. 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)

28. 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 = 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 <> ''

29. 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)

30. 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 = 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 <> ''

31. 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)

32. 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 = 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 <> ''

33. 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)

34. 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 = 533961 AND W.type_id = 1) OR (W.util_id <> 533961 AND W.type_id = 2)) AND (M.post_util_id = 533961 OR M.dest_util_id = 533961) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=533961 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93500'

37. 0.003

    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(((2.4- 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>2.1263897328734 AND ville_longitude_deg<2.6736102671266 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0092

    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(((2.4- 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>1.7159684337256 AND ville_longitude_deg<3.0840315662744 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (856,929,928)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (2546,351629,256696,353559,175854,530005,533961)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (2546,351629,256696,353559,175854,530005,533961)

42. 0.0002

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=176 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

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='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

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

45. 0.0001

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

46. 0.0001

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

47. 0.0002

    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 (176) ORDER BY ssrubr_order ASC

49. 0.0012

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

50. 0.03

    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. 0.0266

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

51 requetes sql en 0.1688