Service electricien à 42152 L'horme

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='bricolage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('42' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='42152' AND ville_nom like '%l%horme%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%electricien%' OR ssrubr_title like '%electricien%' OR ssrubr_slug like '%electricien%') AND cate_id='50' 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. 0.0003

    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='42152'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.303435678816 AND ville_latitude_deg<45.663164321184 AND ville_longitude_deg>4.2934599583563 AND ville_longitude_deg<4.8065400416437 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='électricien; electricien; electricite; electricité'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+électricien; electricien; electricite; electricité*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '42152%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='électricien; electricien; electricite; electricité' OR ssrubr_slug='électricien;-electricien;-electricite;-electricité' OR (ssrubr_title like '%électricien; electricien; electricite; electricité%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='electricien' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='42152'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.303435678816 AND ville_latitude_deg<45.663164321184 AND ville_longitude_deg>4.2934599583563 AND ville_longitude_deg<4.8065400416437 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0083

    SELECT ville_cp, ROUND((((acos(sin((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.033639197041 AND ville_latitude_deg<45.932960802959 AND ville_longitude_deg>3.9086443654308 AND ville_longitude_deg<5.1913556345692 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0689

    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((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- 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='50' AND MATCH (wish_desc) AGAINST ('(+électricien; +electricien; +electricite; +electricité*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (42152,42152,42320,42740,42320,42400,42320,42740,42420,42320,42800,42800,42800,42800,42800,42290,42800,42740,42131,42800,42650,42320,42800,42350,42410,42140,69420,69420,42580,42800,42140,42410,42800,42140,42410,42800,42000,42230,42100,42140,69440,42580,42410,42660,42660,69440,69440,42660,42520,69700,42270,42140,42570,42220,69700,69590,42390,69420,69590,42520,69700,42330,42410,42410,42410,42140,69700,42520,69440,42220,42150,69440,42530,38370,69420,69440,42140,42520,42520,38370,69440,42520,42480,42520,69590,42330,42220,69850,42220,69590,07340,42230,38370,42220,69700,42330,69420,69440,42660,07340,42660,38370) 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 = 109384 AND W.type_id = 1) OR (W.util_id <> 109384 AND W.type_id = 2)) AND (M.post_util_id = 109384 OR M.dest_util_id = 109384) 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=109384 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 = 147850 AND W.type_id = 1) OR (W.util_id <> 147850 AND W.type_id = 2)) AND (M.post_util_id = 147850 OR M.dest_util_id = 147850) 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=147850 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 = 516131 AND W.type_id = 1) OR (W.util_id <> 516131 AND W.type_id = 2)) AND (M.post_util_id = 516131 OR M.dest_util_id = 516131) 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=516131 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='42152'

29. 0.002

    SELECT ville_cp, ROUND((((acos(sin((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.303435678816 AND ville_latitude_deg<45.663164321184 AND ville_longitude_deg>4.2934599583563 AND ville_longitude_deg<4.8065400416437 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((45.4833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.033639197041 AND ville_latitude_deg<45.932960802959 AND ville_longitude_deg>3.9086443654308 AND ville_longitude_deg<5.1913556345692 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 (583)

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 (516131,109384,147850)

33. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (516131,109384,147850)

34. 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='électricien; electricien; electricite; electricité' OR ssrubr_slug like '%électricien; electricien; electricite; electricité%' OR MATCH (ssrubr_slug) AGAINST ('(+électricien; +electricien; +electricite; +electricité)')) AND sk.ssrubr_id='583' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

35. 0.0003

    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 = 50 AND ss.ssrubr_id <> 583 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='583' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0001

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

38. 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

39. 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 (50) ORDER BY ssrubr_order ASC

40. 0.0011

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

41. 0.0249

    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'

42. 0.0233

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

42 requetes sql en 0.1454