Service nettoyer piscine à 94300 Vincennes

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='3' AND cate_title_slug='menage-repassage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94300' AND ville_nom like '%vincennes%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nettoyage%piscine%' OR ssrubr_title like '%nettoyage%piscine%' OR ssrubr_slug like '%nettoyage%piscine%') AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0003

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0004

    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='94300'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.1599930625247 AND ville_longitude_deg<2.7066669374753 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage piscine'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+nettoyage piscine*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94300%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='nettoyage piscine' OR ssrubr_slug='nettoyage-piscine' OR (ssrubr_title like '%nettoyage piscine%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyage-piscine' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94300'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.1599930625247 AND ville_longitude_deg<2.7066669374753 HAVING distance <= 20 ORDER BY distance ASC

20. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.7499817637462 AND ville_longitude_deg<3.1166782362538 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0531

    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((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- 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='47' AND MATCH (wish_desc) AGAINST ('(+nettoyage +piscine*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94300,94300,93100,93170,94160,94120,93230,93260,94220,94130,93110,94410,93130,93310,94340,94170,94200,94205,94700,93000,94140,93500,93140,94270,93250,93360,94360,75001,75010,75008,75007,75006,75005,75004,75009,75003,75002,75000,75011,75012,75018,75014,75016,75015,75019,75017,75013,75116,75020,94500,93330,94340,94100,94210,94800,94400,94000,93220,94250,94430,93320,93340,93300,93120,94350,93400,94110,92120,93350,93700,93150,94600,93160,92170,93460,94320,94380,94233,94230,94239,94240,94231,94232,94234,94235,94236,94237,94238,92240,94420,93210,93200,94550,93440,93370,92110,92220,93190,93390,94880,94490,94880,94310,94460,94390,93240,93270,92390,93450,94370,94380,92340,77420,92300,92320,94470,93600,94150,77500,92200,92130,92600,95500,94190,95140,94290,93470,77181,92330,92260,94510,92140,92230,93410,94450,77185,92100,93430,77340,93380,77184,94260,92400,92270,92350,95360,93800,92250,77186,92800,92150,92360,92190,92160,94480,95500,95400,91560,93420,91320,91200,77177,92700,92290,77181,95880,94440,91330,91550,93290,77200,92210,77360,95410,77270,91370,95170,94440,91230,91270,77680,95500,95218,95210,91300,95400,95500,95200,77183,77090,95350,91800,95100,92500,92310,77410,95230,94440,95700,92410,92000,92370,95160,91420,77600,92380,95870,77400,77170,95720,91210,78800,95110,77400,77150,95190,94520,94520,95440,91260,92420,92430,78140,95120,95580,95580,91380,91160,91570,77330,77600,77600,95350,91860,77150,77400,78420,91800,95600,77290,91120) 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 = 21593 AND W.type_id = 1) OR (W.util_id <> 21593 AND W.type_id = 2)) AND (M.post_util_id = 21593 OR M.dest_util_id = 21593) 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=21593 AND note_visu IN (1,3,4)

24. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94300'

25. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.1599930625247 AND ville_longitude_deg<2.7066669374753 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.7499817637462 AND ville_longitude_deg<3.1166782362538 HAVING distance <= 50 ORDER BY distance ASC

27. 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 (1212)

28. 0.0001

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (21593)

29. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (21593)

30. 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=47 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

31. 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='nettoyage piscine' OR ssrubr_slug like '%nettoyage piscine%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyage +piscine)')) AND sk.ssrubr_id='1212' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

32. 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 = 3 AND ss.cate_id = 47 AND ss.ssrubr_id <> 1212 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1212' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0

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

35. 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

36. 0.0001

    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 (47) ORDER BY ssrubr_order ASC

37. 0.0009

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

38. 0.0223

    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'

39. 0.0168

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

39 requetes sql en 0.1159