Location perforateur à 62440 Harnes

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-bricolage'

3. 0

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62440' AND ville_nom like '%harnes%' 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 '%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. 0.0003

    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='62440'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.270135678816 AND ville_latitude_deg<50.629864321184 AND ville_longitude_deg>2.6175277016393 AND ville_longitude_deg<3.1824722983607 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 '62440%'

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='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='62440'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.270135678816 AND ville_latitude_deg<50.629864321184 AND ville_longitude_deg>2.6175277016393 AND ville_longitude_deg<3.1824722983607 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.000339197041 AND ville_latitude_deg<50.899660802959 AND ville_longitude_deg>2.1938131645938 AND ville_longitude_deg<3.6061868354062 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1024

    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((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- 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 (62440,62440,62880,62880,62740,62880,62710,62880,62640,62218,62221,62420,62110,62430,62300,62410,62410,62220,62410,62680,62590,62119,62410,62950,62300,62210,62320,62320,59185,62320,62320,59221,62138,62750,59112,62138,62820,62970,62580,59162,59133,59112,62580,59496,62141,59251,62490,62800,59261,62138,59496,62580,62490,59147,62138,59133,59184,62580,59272,62580,59239,62143,59950,59274,59480,62580,62160,62790,59239,59128,62580,59147,62580,62980,62138,59553,59147,62149,59551,62153,59553,59553,59283,62580,59136,62149,59283,62160,62490,59134,62580,62149,59134,62580,62980,59286,59480,62149,59551,62490,62670,59113,62580,62160,59246,59263,59134,62153,59500,62113,62113,62114,62840,59552,62117,59710,62144,59552,62223,62149,59710,59310,62118,59134,62118,59175,62112,62290,59194,62172,62118,59139,62840,62223,62660,59710,59249,59119,59211,62118,59249,62223,62118,62113,59175,59169,62490,59320,62530,59450,62144,59235,62530,59320,62223,59139,62112,62223,62136,62530,59194,62118,59320,59134,59320,59320,59320,62223,62223,59710,59155,62144,59187,62223,59320,62131,62131,62136,62490,62131,62490,62400,59273) 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 = 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 <> ''

23. 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)

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 = 109481 AND W.type_id = 1) OR (W.util_id <> 109481 AND W.type_id = 2)) AND (M.post_util_id = 109481 OR M.dest_util_id = 109481) 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=109481 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 = 144897 AND W.type_id = 1) OR (W.util_id <> 144897 AND W.type_id = 2)) AND (M.post_util_id = 144897 OR M.dest_util_id = 144897) 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=144897 AND note_visu IN (1,3,4)

28. 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 <> ''

29. 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)

30. 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 = 114058 AND W.type_id = 1) OR (W.util_id <> 114058 AND W.type_id = 2)) AND (M.post_util_id = 114058 OR M.dest_util_id = 114058) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=114058 AND note_visu IN (1,3,4)

32. 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 = 318960 AND W.type_id = 1) OR (W.util_id <> 318960 AND W.type_id = 2)) AND (M.post_util_id = 318960 OR M.dest_util_id = 318960) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=318960 AND note_visu IN (1,3,4)

34. 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 = 358486 AND W.type_id = 1) OR (W.util_id <> 358486 AND W.type_id = 2)) AND (M.post_util_id = 358486 OR M.dest_util_id = 358486) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=358486 AND note_visu IN (1,3,4)

36. 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 = 270956 AND W.type_id = 1) OR (W.util_id <> 270956 AND W.type_id = 2)) AND (M.post_util_id = 270956 OR M.dest_util_id = 270956) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=270956 AND note_visu IN (1,3,4)

38. 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 <> ''

39. 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)

40. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62440'

41. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.270135678816 AND ville_latitude_deg<50.629864321184 AND ville_longitude_deg>2.6175277016393 AND ville_longitude_deg<3.1824722983607 HAVING distance <= 20 ORDER BY distance ASC

42. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.000339197041 AND ville_latitude_deg<50.899660802959 AND ville_longitude_deg>2.1938131645938 AND ville_longitude_deg<3.6061868354062 HAVING distance <= 50 ORDER BY distance ASC

43. 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 (29,58)

44. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (270956,144897,358486,109481,114058,318960,176516,100836,545384)

45. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (270956,144897,358486,109481,114058,318960,176516,100836,545384)

46. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

47. 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

48. 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 <> 29 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

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

50. 0.0001

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

51. 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

52. 0.0004

    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

53. 0.0011

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

54. 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'

55. 0.0175

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

55 requetes sql en 0.1891