Location perforateur à 59152 Chéreng

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. 0.0001

   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='59152' AND ville_nom like '%chereng%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%perforateur%' OR ssrubr_title like '%perforateur%' OR ssrubr_slug like '%perforateur%') AND cate_id='87' 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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59152'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.9166283755657 AND ville_longitude_deg<3.4833716244343 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='perforateur'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+perforateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59152%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='perforateur' OR ssrubr_slug='perforateur' OR (ssrubr_title like '%perforateur%')) 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='perforateur' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59152'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.9166283755657 AND ville_longitude_deg<3.4833716244343 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.150339197041 AND ville_latitude_deg<51.049660802959 AND ville_longitude_deg>2.4915648300222 AND ville_longitude_deg<3.9084351699778 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1028

    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((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- 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 MATCH (wish_desc) AGAINST ('(+perforateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59152,59152,59152,59152,59152,59830,59262,59780,59510,59830,59780,59273,59780,59830,59390,59830,59510,59830,59830,59260,59810,7522,7522,59790,59830,59273,7520,59242,59390,59390,59242,7522,7502,59390,59370,59290,59170,7522,59710,7730,7610,7504,59242,59155,59115,59160,59350,59777,59000,59800,59175,59493,59650,59655,59491,7501,7611,59139,7730,59110,59710,59310,7506,59700,59710,7503,59150,59175,7520,7618,59100,7730,59310,7730,7500,59420,59710,7730,59520,7743,59350,59310,59130,59113,7712,59120,59139,59910,7620,7500,59200,59235,7743,7740,59551,7730,59118,59551,7500,59320,59310,7730,7540,59263,7620,59310,59310,59246,7624,59320,59239,7542,59320,7740,59310,7521,7700,7620,7548,7621,7620,59133,59840,59310,59690,7742,7700,7536,59147,7711,59310,59226,59239,7641,7642,59310,59320,59237,7623,59250,59223,59126,59147,59320,59960,8587,7620,7540,59160,59147,59261,7904,59211,7620,59133,7640,59320,59840,8510,7543,62820,8587,59840,59283,7531,59870,59320,59320,59112,8510,59251,59230,59890,7760,59148,7622,8587,7643,59230,59158,8511,59134) 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 (100836,176516,229675,270222,362211,373126,339897,439712,540593,545384)

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 = 100836 AND W.type_id = 1) OR (W.util_id <> 100836 AND W.type_id = 2)) AND (M.post_util_id = 100836 OR M.dest_util_id = 100836) 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=100836 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 = 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 <> ''

26. 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)

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 = 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 <> ''

28. 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)

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 = 270222 AND W.type_id = 1) OR (W.util_id <> 270222 AND W.type_id = 2)) AND (M.post_util_id = 270222 OR M.dest_util_id = 270222) 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=270222 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 = 362211 AND W.type_id = 1) OR (W.util_id <> 362211 AND W.type_id = 2)) AND (M.post_util_id = 362211 OR M.dest_util_id = 362211) 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=362211 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 = 373126 AND W.type_id = 1) OR (W.util_id <> 373126 AND W.type_id = 2)) AND (M.post_util_id = 373126 OR M.dest_util_id = 373126) 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=373126 AND note_visu IN (1,3,4)

35. 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 <> ''

36. 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)

37. 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 = 439712 AND W.type_id = 1) OR (W.util_id <> 439712 AND W.type_id = 2)) AND (M.post_util_id = 439712 OR M.dest_util_id = 439712) 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=439712 AND note_visu IN (1,3,4)

39. 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 = 540593 AND W.type_id = 1) OR (W.util_id <> 540593 AND W.type_id = 2)) AND (M.post_util_id = 540593 OR M.dest_util_id = 540593) 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=540593 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 = 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 <> ''

42. 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)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59152'

44. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.9166283755657 AND ville_longitude_deg<3.4833716244343 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0144

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.150339197041 AND ville_latitude_deg<51.049660802959 AND ville_longitude_deg>2.4915648300222 AND ville_longitude_deg<3.9084351699778 HAVING distance <= 50 ORDER BY distance ASC

46. 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 (29,50)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (339897,439712,270222,545384,229675,362211,373126,100836,540593,176516)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (339897,439712,270222,545384,229675,362211,373126,100836,540593,176516)

49. 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='perforateur' OR ssrubr_slug like '%perforateur%' OR MATCH (ssrubr_slug) AGAINST ('(+perforateur)')) AND sk.ssrubr_id='29' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 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 = 5 AND ss.cate_id = 87 AND ss.ssrubr_id <> 29 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='29' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0

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

53. 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

54. 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

55. 0.0014

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

56. 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'

57. 0.0188

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

57 requetes sql en 0.1909