Location injecteur extracteur à 68480 Levoncourt

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='5' AND cate_title_slug='materiel-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('68' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='68480' AND ville_nom like '%levoncourt%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%injecteur%extracteur%' OR ssrubr_title like '%injecteur%extracteur%' OR ssrubr_slug like '%injecteur%extracteur%') AND cate_id='110' 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. 0.0002

    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='68480'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.320135678816 AND ville_latitude_deg<47.679864321184 AND ville_longitude_deg>7.1004366908481 AND ville_longitude_deg<7.6329033091519 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='extracteur; injecteur extracteur'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='1076' AND wish_visu IN (1,6,10) AND wish_cp like '68480%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='extracteur; injecteur extracteur' OR ssrubr_slug='extracteur;-injecteur-extracteur' OR (ssrubr_title like '%extracteur; injecteur extracteur%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='injecteur-extracteur' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='68480'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.320135678816 AND ville_latitude_deg<47.679864321184 AND ville_longitude_deg>7.1004366908481 AND ville_longitude_deg<7.6329033091519 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.050339197041 AND ville_latitude_deg<47.949660802959 AND ville_longitude_deg>6.7010809876939 AND ville_longitude_deg<8.0322590123061 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0044

    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((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- 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='5' AND cate_id='110' AND ssrubr_id='1076' AND wish_visu IN (1,6,10) AND wish_cp IN (68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68480,68640,68640,68480,4118,68220,68480,68480,68640,68640,68480,68480,4117,68220,68220,68220,2814,68960,68640,68220,68640,68480,4116,68480,2813,68960,68960,68220,68220,68480,4245,4115,68130,68960,68220,4112,68220,4244,2812,68560,68220,68480,4112,4112,4254,68130,68560,4124,68730,68130,68580,4114,68130,68130,68220,2807,68480,68560,4243,4105,2805,68510,68580,4108,2806,68480,68480,4253,68560,68730,4223,68130,2807,68220,68130,4242,68480,4107,4123,4123,68580,68510,68130,4104,2947,4222,2800,2800,68730,68130,4106,2800,2803,68220,68220,2953,2822,4252,4252,68130,68510,68480,68510,2823,68510,4102,68580,4102,68130,68130,68130,4224,4246,68118,4103,2944,68580,68580,4225,68870,4054,2802,4101,2953,4055,2946,4147,68870,68510,68510,4020,4005,4000,4002,4091,4009,4010,4075,4070,4018,4030,4019,4153,4153,4148,4247,68510,68130,2824,2954,68130,2943,4226,4059,68720,68510,2857,2842,4056,4051,2935,4031,68128,68300,4053,4001,4203,68580,2825,4227,2826,4089,4089,4041,4039,4041,4089,4089,4039,68720,68130,2830,68440,2952,68128,90370,68510,4142,4052,4052,4040,4042,4042,4142,2828,68580,4202,4204,2852,4057,4232,68128,68130,68440,4143,4228,4144,68210,68330,2856,2942,4058,68580,68210,2843,68720,68510) 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 (226641,228890,275011,379797)

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 = 226641 AND W.type_id = 1) OR (W.util_id <> 226641 AND W.type_id = 2)) AND (M.post_util_id = 226641 OR M.dest_util_id = 226641) 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=226641 AND note_visu IN (1,3,4)

25. 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 = 228890 AND W.type_id = 1) OR (W.util_id <> 228890 AND W.type_id = 2)) AND (M.post_util_id = 228890 OR M.dest_util_id = 228890) 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=228890 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 = 275011 AND W.type_id = 1) OR (W.util_id <> 275011 AND W.type_id = 2)) AND (M.post_util_id = 275011 OR M.dest_util_id = 275011) 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=275011 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 = 379797 AND W.type_id = 1) OR (W.util_id <> 379797 AND W.type_id = 2)) AND (M.post_util_id = 379797 OR M.dest_util_id = 379797) 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=379797 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='68480'

32. 0.002

    SELECT ville_cp, ROUND((((acos(sin((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.320135678816 AND ville_latitude_deg<47.679864321184 AND ville_longitude_deg>7.1004366908481 AND ville_longitude_deg<7.6329033091519 HAVING distance <= 20 ORDER BY distance ASC

33. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((47.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((7.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.050339197041 AND ville_latitude_deg<47.949660802959 AND ville_longitude_deg>6.7010809876939 AND ville_longitude_deg<8.0322590123061 HAVING distance <= 50 ORDER BY distance ASC

34. 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 (1076)

35. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (226641,275011,379797,228890)

36. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (226641,275011,379797,228890)

37. 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='extracteur; injecteur extracteur' OR ssrubr_slug like '%extracteur; injecteur extracteur%' OR MATCH (ssrubr_slug) AGAINST ('(+extracteur; +injecteur +extracteur)')) AND sk.ssrubr_id='1076' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 5 AND ss.cate_id = 110 AND ss.ssrubr_id <> 1076 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1076' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0

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

41. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

42. 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 (110) ORDER BY ssrubr_order ASC

43. 0.0009

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

44. 0.0262

    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'

45. 0.021

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

45 requetes sql en 0.0764