Location tablette à 92200 Neuilly-sur-seine

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='high-tech'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=208

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92200' AND ville_nom like '%neuilly%sur%seine%' 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 '%tablette%tactile%' OR ssrubr_title like '%tablette%tactile%' OR ssrubr_slug like '%tablette%tactile%') AND cate_id='208' 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='92200'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9931511089253 AND ville_longitude_deg<2.5401888910747 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tablette; tablette tactile'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='208'AND MATCH (wish_title,wish_desc) AGAINST ('+tablette; tablette tactile*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92200%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=208

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='tablette; tablette tactile' OR ssrubr_slug='tablette;-tablette-tactile' OR (ssrubr_title like '%tablette; tablette tactile%')) AND cate_id='208' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tablette-tactile' AND cate_id='208'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92200'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9931511089253 AND ville_longitude_deg<2.5401888910747 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0087

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.5828668758251 AND ville_longitude_deg<2.9504731241749 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0274

    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((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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='208' AND MATCH (wish_desc) AGAINST ('(+tablette; +tablette +tactile*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92200,92200,92400,92250,92300,92800,92150,92110,92600,92270,92700,92500,93400,92000,92100,92210,92170,92230,78800,75001,75010,75009,75003,75007,75002,75005,75004,75000,75011,75008,75006,75116,75020,75019,75018,75017,75016,75015,75014,75012,75013,95870,78420,92390,93450,92130,95100,92380,92240,93800,92120,92410,78400,92190,92360,93210,93200,92430,92420,94250,92310,92140,78360,93120,78170,93300,92320,95210,95218,95110,92220,78500,93310,93500,78380,78290,95880,93430,94270,94110,92370,78560,95530,95360,78140,93170,92350,95120,78430,78110,92330,92260,78600,93240,94200,94205,95130,95230,94800,78220,93380,78600,94234,94238,94237,94236,94235,94233,94232,94240,94231,94230,94239,95240,95170,93230,93260,78150,93350,94160,78150,78230,93100,92340,95370,95410,94300,92290,95600,95130,95580,95580,93440,94220,78750,78000,78160,78100,93000,95160,78870,94550,94140,95140,93700,93150,93130,78112,78620,93140,94400,91370,95390,95680,95320,78350,95220,95350,92160,78590,91570,94260,95500,94700,94320,95400,95200,95250,95400,94410,93110,94150,95350,78530,78350,94120,94340,78700,95480,91300,78300,78590,94130,94600,93250,95550,95150,91430,95440,78240,78260,78210,95330,91320,91430,95500,94170,78330,94390,94310,95460,91400,78570,78240,93320,93340,94000,93360,78117,95560,91120,95840,78955,78860,95570,95740,78450,94360,95570,95720,95610,94100,94340,94210,93220,95570,95500,78780,78280,93600,94500,93330,91550,95720,94290) 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 = 165668 AND W.type_id = 1) OR (W.util_id <> 165668 AND W.type_id = 2)) AND (M.post_util_id = 165668 OR M.dest_util_id = 165668) 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=165668 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 = 471981 AND W.type_id = 1) OR (W.util_id <> 471981 AND W.type_id = 2)) AND (M.post_util_id = 471981 OR M.dest_util_id = 471981) 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=471981 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 = 548040 AND W.type_id = 1) OR (W.util_id <> 548040 AND W.type_id = 2)) AND (M.post_util_id = 548040 OR M.dest_util_id = 548040) 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=548040 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92200'

29. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9931511089253 AND ville_longitude_deg<2.5401888910747 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.5828668758251 AND ville_longitude_deg<2.9504731241749 HAVING distance <= 50 ORDER BY distance ASC

31. 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 (1141,1095)

32. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (548040,165668,471981)

33. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (548040,165668,471981)

34. 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=208 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

35. 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='tablette; tablette tactile' OR ssrubr_slug like '%tablette; tablette tactile%' OR MATCH (ssrubr_slug) AGAINST ('(+tablette; +tablette +tactile)')) AND sk.ssrubr_id='1095' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0002

    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 = 208 AND ss.ssrubr_id <> 1095 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1095' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0

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

39. 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

40. 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 (208) ORDER BY ssrubr_order ASC

41. 0.0009

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

42. 0.0228

    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'

43. 0.0207

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

43 requetes sql en 0.0994