Service babysitter à 91320 Wissous

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='babysitting'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91320' AND ville_nom like '%wissous%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%babysitter%' OR ssrubr_title like '%babysitter%' OR ssrubr_slug like '%babysitter%') AND cate_id='39' 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. 0.0002

    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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='91320'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>2.0606280876317 AND ville_longitude_deg<2.6060319123683 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='babysitter; babysitting; baby sitting; baby-sitter'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+babysitter; babysitting; baby sitting; baby-sitter*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91320%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug='babysitter;-babysitting;-baby-sitting;-baby-sitter' OR (ssrubr_title like '%babysitter; babysitting; baby sitting; baby-sitter%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='babysitter' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91320'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>2.0606280876317 AND ville_longitude_deg<2.6060319123683 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0057

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.283639197041 AND ville_latitude_deg<49.182960802959 AND ville_longitude_deg>1.6515693402035 AND ville_longitude_deg<3.0150906597965 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0477

    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((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- 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='39' AND MATCH (wish_desc) AGAINST ('(+babysitter; +babysitting; +baby +sitting; +baby-sitter*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91320,91320,94260,94150,91550,92160,91300,91420,94550,91160,91380,92340,94320,91200,91370,94310,94390,94239,94234,94235,94236,94237,94233,94232,94240,94238,94231,94230,94290,91160,92290,91120,94480,91260,92330,92260,91270,91140,94600,91160,92350,94400,91360,94110,91390,91360,91600,94800,92220,91210,91160,91170,92320,94190,91430,91570,91560,92140,91140,94250,91230,92120,91700,94270,92240,94140,91430,94460,91350,94200,94205,94700,91620,92130,92190,92360,94450,94220,91130,91000,91700,94000,92170,91240,91700,94380,91400,91310,91620,91310,91310,91400,92370,91330,91450,92100,94160,78350,91440,91800,91220,91220,94410,78140,91460,91940,91070,92310,94340,94470,91080,91000,91090,75014,75015,75016,75017,75013,75018,75019,75020,75116,75006,75012,75004,75011,75001,75000,75002,75003,75005,75007,75008,75009,75010,94340,94210,94100,78220,91940,91310,92410,91860,92210,94440,91190,91450,94300,78530,94380,78350,94370,94430,94130,91940,91800,91190,94440,78117,91190,91180,91090,93170,92420,92430,92380,94500,94520,94520,91640,78000,91480,91250,92800,92150,93100,94490,94880,94880,94120,91250,78117,94440,91290,93310,92200,94360,91400,91480,91680,91290,94170,91280,93260,93230,78150,77170,93110,91100,93400,91630,77380,78170,91630,91810,91640,92110,78470,91100,91340,91520,92300,94510,91630,91540,93500,92400,91250,92500,93130,78150,94350,77127,94420,92250,91630,78114,93330,78280,91540,91540) 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 = 215397 AND W.type_id = 1) OR (W.util_id <> 215397 AND W.type_id = 2)) AND (M.post_util_id = 215397 OR M.dest_util_id = 215397) 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=215397 AND note_visu IN (1,3,4)

24. 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 = 469349 AND W.type_id = 1) OR (W.util_id <> 469349 AND W.type_id = 2)) AND (M.post_util_id = 469349 OR M.dest_util_id = 469349) 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=469349 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91320'

27. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.553435678816 AND ville_latitude_deg<48.913164321184 AND ville_longitude_deg>2.0606280876317 AND ville_longitude_deg<2.6060319123683 HAVING distance <= 20 ORDER BY distance ASC

28. 0.0074

    SELECT ville_cp, ROUND((((acos(sin((48.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.283639197041 AND ville_latitude_deg<49.182960802959 AND ville_longitude_deg>1.6515693402035 AND ville_longitude_deg<3.0150906597965 HAVING distance <= 50 ORDER BY distance ASC

29. 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 (1031)

30. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (469349,215397)

31. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (469349,215397)

32. 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=39 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

33. 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='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug like '%babysitter; babysitting; baby sitting; baby-sitter%' OR MATCH (ssrubr_slug) AGAINST ('(+babysitter; +babysitting; +baby +sitting; +baby-sitter)')) AND sk.ssrubr_id='1031' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 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 = 39 AND ss.ssrubr_id <> 1031 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1031' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.0001

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

37. 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

38. 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 (39) ORDER BY ssrubr_order ASC

39. 0.0014

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

40. 0.0203

    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'

41. 0.0275

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

41 requetes sql en 0.1211