Location pop corn à 93000 Bobigny

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. 0.0001

   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='93000' AND ville_nom like '%bobigny%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%machine%a%pop%corn%' OR ssrubr_title like '%machine%a%pop%corn%' OR ssrubr_slug like '%machine%a%pop%corn%') 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. 0.0002

    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='93000'

12. 0.0028

    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(((2.45- 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>2.1763897328734 AND ville_longitude_deg<2.7236102671266 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='machine pop corn; machine a pop corn'

14. 0.0009

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+machine pop corn; machine a pop corn*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93000%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=176

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='machine pop corn; machine a pop corn' OR ssrubr_slug='machine-pop-corn;-machine-a-pop-corn' OR (ssrubr_title like '%machine pop corn; machine a pop corn%')) 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='machine-a-pop-corn' AND cate_id='176'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93000'

19. 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(((2.45- 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>2.1763897328734 AND ville_longitude_deg<2.7236102671266 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0081

    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(((2.45- 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>1.7659684337256 AND ville_longitude_deg<3.1340315662744 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0711

    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(((2.45- 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='176' AND MATCH (wish_desc) AGAINST ('(+machine +pop +corn; +machine +a +pop +corn*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93000,93000,93140,93130,93230,93260,93500,93700,93150,93100,93250,93310,93110,93170,93350,93340,93320,93300,93120,94300,94120,93440,93360,93220,94170,93270,93600,93240,95500,93390,93190,93200,93210,95140,94160,94130,93330,93400,93370,94360,75002,75020,75116,75000,75001,75016,75017,75003,75013,75012,75011,75015,75009,75008,75007,75006,75005,75010,75004,75018,75019,75014,95500,94410,92390,93450,93410,93460,94340,94220,95400,93380,93420,77181,93470,93160,93430,95360,94350,94205,94200,94500,92110,94270,77500,93290,95500,94700,95500,94140,92230,94340,94100,94210,93800,95410,92600,94430,95200,95700,95400,92300,95880,77420,77181,95170,94250,94420,94800,95350,77270,95720,94000,95190,92170,92120,94400,77177,92270,92200,95440,95160,94110,95218,95210,77185,95230,92240,92400,77186,92250,92700,77410,95350,94880,94880,94490,94380,95720,94600,77360,95380,77290,77184,94237,94236,94238,94239,94235,94234,94233,94231,94240,94230,94232,94320,95580,95580,92220,95100,77200,77340,95460,94370,94380,94510,92150,92800,95120,92130,95110,92100,95600,92320,95380,94550,95190,94460,77990,92340,95720,94310,94390,95330,77400,94470,92140,95870,77400,77410,77183,77090,77990,95380,95680,92260,92330,77600,95380,94150,95570,92210,92000,92190,95130,92360,78800,92500,77680,94190,95190,95850,95390,77400,92350,95380,94450,94290,95570,95720,77410,77600,77600,94260,95130,77290,77400,95320,77410,78420,77400,77410,77400,94440,95570,77230,92160,92290) AND type_id=1 GROUP BY wish_id

22. 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 = 173846 AND W.type_id = 1) OR (W.util_id <> 173846 AND W.type_id = 2)) AND (M.post_util_id = 173846 OR M.dest_util_id = 173846) 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=173846 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 = 219974 AND W.type_id = 1) OR (W.util_id <> 219974 AND W.type_id = 2)) AND (M.post_util_id = 219974 OR M.dest_util_id = 219974) 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=219974 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 = 261011 AND W.type_id = 1) OR (W.util_id <> 261011 AND W.type_id = 2)) AND (M.post_util_id = 261011 OR M.dest_util_id = 261011) 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=261011 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 = 382884 AND W.type_id = 1) OR (W.util_id <> 382884 AND W.type_id = 2)) AND (M.post_util_id = 382884 OR M.dest_util_id = 382884) 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=382884 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 = 453925 AND W.type_id = 1) OR (W.util_id <> 453925 AND W.type_id = 2)) AND (M.post_util_id = 453925 OR M.dest_util_id = 453925) 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=453925 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93000'

33. 0.0024

    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(((2.45- 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>2.1763897328734 AND ville_longitude_deg<2.7236102671266 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0064

    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(((2.45- 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>1.7659684337256 AND ville_longitude_deg<3.1340315662744 HAVING distance <= 50 ORDER BY distance ASC

35. 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 (928,842)

36. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (219974,453925,382884,261011,173846)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (219974,453925,382884,261011,173846)

38. 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

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='machine pop corn; machine a pop corn' OR ssrubr_slug like '%machine pop corn; machine a pop corn%' OR MATCH (ssrubr_slug) AGAINST ('(+machine +pop +corn; +machine +a +pop +corn)')) AND sk.ssrubr_id='842' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 <> 842 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='842' 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. 0.0002

    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

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 (176) ORDER BY ssrubr_order ASC

45. 0.0017

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

46. 0.0306

    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. 0.0234

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

47 requetes sql en 0.1564