Service lavage auto à 59175 Templemars

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. 0.0001

   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='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59175' AND ville_nom like '%templemars%' 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 '%lavage%automobile%' OR ssrubr_title like '%lavage%automobile%' OR ssrubr_slug like '%lavage%automobile%') AND cate_id='47' 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. 0.0003

    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='59175'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.7668286878377 AND ville_longitude_deg<3.3331713121623 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='lavage auto; lavage automobile'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+lavage auto; lavage automobile*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59175%'

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='lavage auto; lavage automobile' OR ssrubr_slug='lavage-auto;-lavage-automobile' OR (ssrubr_title like '%lavage auto; lavage automobile%')) 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='lavage-automobile' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59175'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.7668286878377 AND ville_longitude_deg<3.3331713121623 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0208

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117039197041 AND ville_latitude_deg<51.016360802959 AND ville_longitude_deg>2.3420656150206 AND ville_longitude_deg<3.7579343849794 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0617

    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((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- 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 ('(+lavage +auto; +lavage +automobile*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59175,59175,59175,59139,59155,59113,59139,59263,59710,59147,59810,59320,59790,59551,59320,59147,59120,59133,59273,59147,59710,59260,59320,59133,59710,59239,59350,59777,59800,59160,59000,59551,59211,59251,59112,59273,59320,59262,59710,59112,59242,59239,59370,59110,59130,59261,59136,59320,62820,59830,59272,59242,59320,59320,59134,59320,59246,59350,59830,59184,59320,59185,59160,62220,59152,59152,59700,59840,59235,59840,59830,59134,59510,62590,59520,59152,59242,59310,59840,59134,59118,59152,59134,59221,59162,59830,59274,59290,59170,59283,59237,59496,62410,59510,59310,62138,59134,59830,59780,59491,59493,59655,59650,62880,59249,59780,62790,62141,59780,59280,59283,59390,59910,59480,59830,62710,59830,62119,59249,59496,59420,59310,59390,62880,62880,62138,59390,59950,59930,62440,59310,62970,59286,62410,59100,62640,59890,59390,59310,62880,62950,59310,7522,59280,59116,62740,7522,59194,62840,62410,7502,59480,7610,59200,59148,7611,7520,62138,59128,59236,62110,59250,59126,59223,62840,7730,59310,62840,59150,62410,7522,59115,59193,62138,7783,7522,62138,62221,62218,62420,7504,59890,59194,59310) 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 = 124772 AND W.type_id = 1) OR (W.util_id <> 124772 AND W.type_id = 2)) AND (M.post_util_id = 124772 OR M.dest_util_id = 124772) 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=124772 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='59175'

25. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.7668286878377 AND ville_longitude_deg<3.3331713121623 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0184

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117039197041 AND ville_latitude_deg<51.016360802959 AND ville_longitude_deg>2.3420656150206 AND ville_longitude_deg<3.7579343849794 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 (977)

28. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (124772)

29. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (124772)

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. 0.0002

    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='lavage auto; lavage automobile' OR ssrubr_slug like '%lavage auto; lavage automobile%' OR MATCH (ssrubr_slug) AGAINST ('(+lavage +auto; +lavage +automobile)')) AND sk.ssrubr_id='977' 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 <> 977 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='977' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

    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. 0.0002

    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 (47) ORDER BY ssrubr_order ASC

37. 0.0013

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

38. 0.0282

    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. 0.0228

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

39 requetes sql en 0.1668