Service mécanicien automobile à 59111 Hordain

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='depanneur-reparateur'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=231

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59111' AND ville_nom like '%hordain%' 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 '%mecanique%auto%' OR ssrubr_title like '%mecanique%auto%' OR ssrubr_slug like '%mecanique%auto%') AND cate_id='231' 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='59111'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.103435678816 AND ville_latitude_deg<50.463164321184 AND ville_longitude_deg>3.035188223542 AND ville_longitude_deg<3.598151776458 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='mécanique auto; mecanicien; mécanicien; mecano; me'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp like '59111%'

15. 0

    SELECT * FROM texte WHERE cate_id=231

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug='mécanique-auto;-mecanicien;-mécanicien;-mecano;-me' OR (ssrubr_title like '%mécanique auto; mecanicien; mécanicien; mecano; me%')) AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='mecanique-auto' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59111'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.103435678816 AND ville_latitude_deg<50.463164321184 AND ville_longitude_deg>3.035188223542 AND ville_longitude_deg<3.598151776458 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0141

    SELECT ville_cp, ROUND((((acos(sin((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.833639197041 AND ville_latitude_deg<50.732960802959 AND ville_longitude_deg>2.6129594907042 AND ville_longitude_deg<4.0203805092958 HAVING distance <= 50 ORDER BY distance ASC

21. 0.009

    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((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- 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='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp IN (59111,59111,59111,59172,59172,59111,59111,59293,59252,59252,59295,59295,59156,59282,59252,59282,59141,59215,59296,59580,59141,59124,59247,59580,59220,59234,59247,59141,59198,59554,59165,59400,59234,59220,59265,59247,59121,59171,59161,59179,59171,59188,59554,59255,59277,59490,59234,59224,59161,59171,59220,59121,59188,59176,59268,59161,59129,59490,59224,59265,59227,59227,59135,59195,59176,59265,59161,59169,59265,59870,59554,59151,59233,59227,59195,59125,59135,62860,59554,59188,59182,59265,59287,59870,59400,59292,59182,59169,59213,59151,59217,59146,59174,59294,59287,59494,59870,59554,59269,59870,59400,59169,59213,59554,59300,62860,59214,59870,59400,59494,59217,62860,59267,59151,59167,62860,59400,59217,59178,59169,59213,59213,59410,59187,59300,59590,59730,62860,59151,59269,59870,59400,59178,59217,59400,59400,59178,59450,59157,59300,59730,59192,59730,59870,59157,59213,59213,59194,59730,59178,59269,59151,59400,59730,59119,59281,59540,59990,62860,62860,59770,62860,59271,59267,59148,59230,59169,59230,59540,59230,59159,59860,59880,59990,62490,59530,59552,62112,62860,59310,59194,62112,59990,59530,59241) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (68554,69121,431737,447162,510259,515543,528694)

23. 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 = 68554 AND W.type_id = 1) OR (W.util_id <> 68554 AND W.type_id = 2)) AND (M.post_util_id = 68554 OR M.dest_util_id = 68554) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=68554 AND note_visu IN (1,3,4)

25. 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 = 69121 AND W.type_id = 1) OR (W.util_id <> 69121 AND W.type_id = 2)) AND (M.post_util_id = 69121 OR M.dest_util_id = 69121) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=69121 AND note_visu IN (1,3,4)

27. 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 = 431737 AND W.type_id = 1) OR (W.util_id <> 431737 AND W.type_id = 2)) AND (M.post_util_id = 431737 OR M.dest_util_id = 431737) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=431737 AND note_visu IN (1,3,4)

29. 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 = 447162 AND W.type_id = 1) OR (W.util_id <> 447162 AND W.type_id = 2)) AND (M.post_util_id = 447162 OR M.dest_util_id = 447162) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=447162 AND note_visu IN (1,3,4)

31. 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 = 510259 AND W.type_id = 1) OR (W.util_id <> 510259 AND W.type_id = 2)) AND (M.post_util_id = 510259 OR M.dest_util_id = 510259) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=510259 AND note_visu IN (1,3,4)

33. 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 = 515543 AND W.type_id = 1) OR (W.util_id <> 515543 AND W.type_id = 2)) AND (M.post_util_id = 515543 OR M.dest_util_id = 515543) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=515543 AND note_visu IN (1,3,4)

35. 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 = 528694 AND W.type_id = 1) OR (W.util_id <> 528694 AND W.type_id = 2)) AND (M.post_util_id = 528694 OR M.dest_util_id = 528694) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=528694 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59111'

38. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.103435678816 AND ville_latitude_deg<50.463164321184 AND ville_longitude_deg>3.035188223542 AND ville_longitude_deg<3.598151776458 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0134

    SELECT ville_cp, ROUND((((acos(sin((50.2833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.833639197041 AND ville_latitude_deg<50.732960802959 AND ville_longitude_deg>2.6129594907042 AND ville_longitude_deg<4.0203805092958 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (963)

41. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (515543,510259,69121,447162,431737,68554,528694)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (515543,510259,69121,447162,431737,68554,528694)

43. 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='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug like '%mécanique auto; mecanicien; mécanicien; mecano; me%' OR MATCH (ssrubr_slug) AGAINST ('(+mécanique +auto; +mecanicien; +mécanicien; +mecano; +me)')) AND sk.ssrubr_id='963' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 231 AND ss.ssrubr_id <> 963 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='963' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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

48. 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 (231) ORDER BY ssrubr_order ASC

49. 0.0009

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

50. 0.0266

    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'

51. 0.0186

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

51 requetes sql en 0.0948