Service avec chariot à 93700 Drancy

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='3' AND cate_title_slug='demenagement'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=42

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93700' AND ville_nom like '%drancy%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%avec%chariot%' OR ssrubr_title like '%avec%chariot%' OR ssrubr_slug like '%avec%chariot%') AND cate_id='42' 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='93700'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.176207276093 AND ville_longitude_deg<2.723792723907 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='diable; avec chariot'

14. 0.0011

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42'AND MATCH (wish_title,wish_desc) AGAINST ('+diable; avec chariot*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93700%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=42

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='diable; avec chariot' OR ssrubr_slug='diable;-avec-chariot' OR (ssrubr_title like '%diable; avec chariot%')) AND cate_id='42' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='avec-chariot' AND cate_id='42'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93700'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.176207276093 AND ville_longitude_deg<2.723792723907 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.7655122878414 AND ville_longitude_deg<3.1344877121586 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0292

    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((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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='3' AND cate_id='42' AND MATCH (wish_desc) AGAINST ('(+diable; +avec +chariot*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93700,93700,93150,93350,93440,93000,93140,95500,95140,93500,93240,93600,93120,93300,95500,93130,93230,93260,95400,93270,93320,93340,93310,93250,93200,93210,93420,93380,93100,95500,93190,93390,93110,93170,95500,95360,93220,93430,92390,93410,93450,93360,95700,95200,95400,95410,93400,93370,94300,95720,95190,93290,94120,95350,77181,93470,94170,95170,95880,95440,93800,92230,93330,75007,75011,75010,75008,75009,75013,75116,75012,75014,75019,75015,75018,75017,75016,75006,75001,75004,75003,75002,75000,75020,75005,95160,93460,94160,95720,94130,92110,95380,95350,94360,77270,92600,95230,77500,77181,93160,95460,95210,95218,92300,94410,95190,94340,94220,95580,95580,95380,94350,77290,95720,92270,94500,94200,94205,95330,95600,95380,94270,77990,77420,95120,77177,92200,95100,77410,92700,77990,95190,94700,95850,95570,95380,92400,94140,95380,95110,92250,94210,94340,94100,95720,95680,94420,95570,94250,94430,92170,94800,92120,77410,95390,77186,77360,77185,95850,94000,95130,95270,95570,92240,95870,94400,95670,94110,95470,95320,77200,95270,77230,77290,95130,92800,92150,95560,95570,77230,77184,77400,94490,94880,94880,77230,77410,78800,92100,95560,77230,92220,95270,95270,95270,77400,77410,95560,92000,92130,94600,94380,95470,95470,94235,94238,94236,94234,94240,94232,94230,94237,94233,94231,94239,77340,77410,95240,92500,94320,92320,95560,94510,77183,77090,77600,94370,94380,95840,78500,78420,77410,77230,77400,95530,77400,92210,94550,95270,95470,92140) 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 = 46769 AND W.type_id = 1) OR (W.util_id <> 46769 AND W.type_id = 2)) AND (M.post_util_id = 46769 OR M.dest_util_id = 46769) 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=46769 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 = 7761 AND W.type_id = 1) OR (W.util_id <> 7761 AND W.type_id = 2)) AND (M.post_util_id = 7761 OR M.dest_util_id = 7761) 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=7761 AND note_visu IN (1,3,4)

26. 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 = 84906 AND W.type_id = 1) OR (W.util_id <> 84906 AND W.type_id = 2)) AND (M.post_util_id = 84906 OR M.dest_util_id = 84906) 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=84906 AND note_visu IN (1,3,4)

28. 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 = 85449 AND W.type_id = 1) OR (W.util_id <> 85449 AND W.type_id = 2)) AND (M.post_util_id = 85449 OR M.dest_util_id = 85449) 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=85449 AND note_visu IN (1,3,4)

30. 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 = 372180 AND W.type_id = 1) OR (W.util_id <> 372180 AND W.type_id = 2)) AND (M.post_util_id = 372180 OR M.dest_util_id = 372180) 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=372180 AND note_visu IN (1,3,4)

32. 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 = 396708 AND W.type_id = 1) OR (W.util_id <> 396708 AND W.type_id = 2)) AND (M.post_util_id = 396708 OR M.dest_util_id = 396708) 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=396708 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 = 445249 AND W.type_id = 1) OR (W.util_id <> 445249 AND W.type_id = 2)) AND (M.post_util_id = 445249 OR M.dest_util_id = 445249) 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=445249 AND note_visu IN (1,3,4)

36. 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 = 478857 AND W.type_id = 1) OR (W.util_id <> 478857 AND W.type_id = 2)) AND (M.post_util_id = 478857 OR M.dest_util_id = 478857) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=478857 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93700'

39. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.176207276093 AND ville_longitude_deg<2.723792723907 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*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>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.7655122878414 AND ville_longitude_deg<3.1344877121586 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (947,948)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (85449,445249,84906,46769,478857,372180,396708,7761)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (85449,445249,84906,46769,478857,372180,396708,7761)

44. 0.0001

    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=42 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

45. 0.0001

    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='diable; avec chariot' OR ssrubr_slug like '%diable; avec chariot%' OR MATCH (ssrubr_slug) AGAINST ('(+diable; +avec +chariot)')) AND sk.ssrubr_id='949' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 0.0001

    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 = 3 AND ss.cate_id = 42 AND ss.ssrubr_id <> 949 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='949' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

49. 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

50. 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 (42) ORDER BY ssrubr_order ASC

51. 0.0011

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

52. 0.0227

    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'

53. 0.0169

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

53 requetes sql en 0.0952