Location autres outils à 59390 Lys-lez-lannoy

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='5' AND cate_title_slug='materiel-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

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='59390' AND ville_nom like '%lys%lez%lannoy%' 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. 0.0024

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%autres%outils%' OR ssrubr_title like '%autres%outils%' OR ssrubr_slug like '%autres%outils%') AND cate_id='87' 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. 0.0002

    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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59390'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.486835678816 AND ville_latitude_deg<50.846564321184 AND ville_longitude_deg>2.9495560073264 AND ville_longitude_deg<3.5171039926736 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='autres outils; dame manuelle; dame; compactage'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND ssrubr_id='1157' AND wish_visu IN (1,6,10) AND wish_cp like '59390%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='autres outils; dame manuelle; dame; compactage' OR ssrubr_slug='autres-outils;-dame-manuelle;-dame;-compactage' OR (ssrubr_title like '%autres outils; dame manuelle; dame; compactage%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='autres-outils' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59390'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.486835678816 AND ville_latitude_deg<50.846564321184 AND ville_longitude_deg>2.9495560073264 AND ville_longitude_deg<3.5171039926736 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.217039197041 AND ville_latitude_deg<51.116360802959 AND ville_longitude_deg>2.5238889007496 AND ville_longitude_deg<3.9427710992504 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0101

    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((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- 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='87' AND ssrubr_id='1157' AND wish_visu IN (1,6,10) AND wish_cp IN (59390,59390,59390,59390,59115,59390,7730,59510,7730,59780,59150,7520,7730,59510,7730,7712,59152,59290,59170,59100,7730,7730,59493,59650,59655,59491,7522,7730,7522,7520,59780,59152,7740,59152,59152,59420,59200,7743,7700,7522,7711,7700,7740,7522,7743,59370,59780,7503,7742,59830,59260,59910,59262,8587,59700,8510,7501,59960,59830,59830,8510,59830,7502,8587,59520,7542,59110,7540,59790,7504,59273,59800,59160,59350,59777,59000,59810,8511,8510,7500,8587,59126,59250,59223,59830,59118,7506,59830,59830,8554,7500,59350,7610,8930,7760,59130,7760,8930,59273,7618,59242,7548,7543,59155,8583,59166,7500,8560,59242,8510,7540,7521,59139,7611,7536,8552,59175,7904,59120,7620,59710,59840,8930,59237,7760,59117,59310,59175,8582,7531,7620,59242,7642,59890,8501,7540,8550,7760,59139,8551,59320,8500,59710,7641,7760,59320,59310,7620,59710,7620,8940,7640,59840,59560,59160,8501,59320,59320,59113,8580,8940,7780,7780,7620,7621,7540,8560,7750,7532,7624,59263,7533,7530) 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 (58545,146357,176516,214021,229675,243714,365817,358266,339897,241626,545384)

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 = 58545 AND W.type_id = 1) OR (W.util_id <> 58545 AND W.type_id = 2)) AND (M.post_util_id = 58545 OR M.dest_util_id = 58545) 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=58545 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 = 146357 AND W.type_id = 1) OR (W.util_id <> 146357 AND W.type_id = 2)) AND (M.post_util_id = 146357 OR M.dest_util_id = 146357) 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=146357 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 = 176516 AND W.type_id = 1) OR (W.util_id <> 176516 AND W.type_id = 2)) AND (M.post_util_id = 176516 OR M.dest_util_id = 176516) 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=176516 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 = 214021 AND W.type_id = 1) OR (W.util_id <> 214021 AND W.type_id = 2)) AND (M.post_util_id = 214021 OR M.dest_util_id = 214021) 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=214021 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 = 229675 AND W.type_id = 1) OR (W.util_id <> 229675 AND W.type_id = 2)) AND (M.post_util_id = 229675 OR M.dest_util_id = 229675) 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=229675 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 = 243714 AND W.type_id = 1) OR (W.util_id <> 243714 AND W.type_id = 2)) AND (M.post_util_id = 243714 OR M.dest_util_id = 243714) 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=243714 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 = 365817 AND W.type_id = 1) OR (W.util_id <> 365817 AND W.type_id = 2)) AND (M.post_util_id = 365817 OR M.dest_util_id = 365817) 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=365817 AND note_visu IN (1,3,4)

37. 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 = 358266 AND W.type_id = 1) OR (W.util_id <> 358266 AND W.type_id = 2)) AND (M.post_util_id = 358266 OR M.dest_util_id = 358266) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=358266 AND note_visu IN (1,3,4)

39. 0.0004

    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 = 339897 AND W.type_id = 1) OR (W.util_id <> 339897 AND W.type_id = 2)) AND (M.post_util_id = 339897 OR M.dest_util_id = 339897) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=339897 AND note_visu IN (1,3,4)

41. 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 = 241626 AND W.type_id = 1) OR (W.util_id <> 241626 AND W.type_id = 2)) AND (M.post_util_id = 241626 OR M.dest_util_id = 241626) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=241626 AND note_visu IN (1,3,4)

43. 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 = 545384 AND W.type_id = 1) OR (W.util_id <> 545384 AND W.type_id = 2)) AND (M.post_util_id = 545384 OR M.dest_util_id = 545384) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=545384 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59390'

46. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.486835678816 AND ville_latitude_deg<50.846564321184 AND ville_longitude_deg>2.9495560073264 AND ville_longitude_deg<3.5171039926736 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((50.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.217039197041 AND ville_latitude_deg<51.116360802959 AND ville_longitude_deg>2.5238889007496 AND ville_longitude_deg<3.9427710992504 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (1157)

49. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (358266,339897,229675,146357,214021,58545,365817,243714,545384,176516,241626)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (358266,339897,229675,146357,214021,58545,365817,243714,545384,176516,241626)

51. 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='autres outils; dame manuelle; dame; compactage' OR ssrubr_slug like '%autres outils; dame manuelle; dame; compactage%' OR MATCH (ssrubr_slug) AGAINST ('(+autres +outils; +dame +manuelle; +dame; +compactage)')) AND sk.ssrubr_id='1157' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 0.0004

    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 = 87 AND ss.ssrubr_id <> 1157 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1157' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0

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

55. 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

56. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

57. 0.0011

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

58. 0.0237

    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'

59. 0.0161

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

59 requetes sql en 0.0798