Location perceuse à 62880 Annay

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. 0.0022

   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 filtre_dpt='62'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62880' AND ville_nom like '%annay%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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. 0.0003

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%perceuse%' OR ssrubr_title like '%perceuse%' OR ssrubr_slug like '%perceuse%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0003

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0004

    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='62880'

12. 0.0034

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='perceuse'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+perceuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62880%'

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='perceuse' OR ssrubr_slug='perceuse' OR (ssrubr_title like '%perceuse%')) 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='perceuse' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62880'

19. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0183

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.1602337955549 AND ville_longitude_deg<3.5731062044451 HAVING distance <= 50 ORDER BY distance ASC

21. 0.141

    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((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- 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 ('(+perceuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62880,62880,62880,62880,62410,62410,62440,62880,62221,62218,62410,62410,62300,62710,62740,62430,62138,59221,62640,62420,62138,62750,59185,62300,62138,62110,62220,59496,62680,59496,62210,62138,62590,59480,59112,62800,59112,62119,59274,62320,62138,59251,59184,62320,62980,62160,59272,62320,62320,62149,59133,62950,62143,62149,62149,62820,62980,59147,62580,59134,62580,59134,62149,62160,59480,59147,62580,59136,62580,62670,59162,59261,59133,62970,62113,62113,62141,59147,62153,62840,62490,59134,62580,62580,62160,59239,62114,62580,62149,62580,59239,62580,62490,62153,62660,59551,59950,62840,62290,59263,62113,62790,62580,59249,62580,62580,59128,59113,62144,59249,62172,59134,59553,62136,62530,59283,62490,59551,59283,59211,59553,59553,62530,59286,62223,59134,59246,59139,62136,62530,62400,62131,62131,59320,62490,59710,59320,62131,59175,59320,59320,62136,62144,59320,59320,62223,62620,62620,59175,62400,59500,62144,59710,62400,62117,59139,59552,59710,62232,62118,59320,62223,62223,62118,59310,62118,59552,62223,62232,62232,59155,62690,62196,59320,62118,62223,62232,62150,59194,62112,59120,62840,59320,62118,62223,62690,62690,59119) 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 = 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 <> ''

23. 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)

24. 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 = 211063 AND W.type_id = 1) OR (W.util_id <> 211063 AND W.type_id = 2)) AND (M.post_util_id = 211063 OR M.dest_util_id = 211063) 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=211063 AND note_visu IN (1,3,4)

26. 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 = 215018 AND W.type_id = 1) OR (W.util_id <> 215018 AND W.type_id = 2)) AND (M.post_util_id = 215018 OR M.dest_util_id = 215018) 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=215018 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 = 239164 AND W.type_id = 1) OR (W.util_id <> 239164 AND W.type_id = 2)) AND (M.post_util_id = 239164 OR M.dest_util_id = 239164) 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=239164 AND note_visu IN (1,3,4)

30. 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 = 246638 AND W.type_id = 1) OR (W.util_id <> 246638 AND W.type_id = 2)) AND (M.post_util_id = 246638 OR M.dest_util_id = 246638) 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=246638 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 = 278476 AND W.type_id = 1) OR (W.util_id <> 278476 AND W.type_id = 2)) AND (M.post_util_id = 278476 OR M.dest_util_id = 278476) 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=278476 AND note_visu IN (1,3,4)

34. 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 = 306416 AND W.type_id = 1) OR (W.util_id <> 306416 AND W.type_id = 2)) AND (M.post_util_id = 306416 OR M.dest_util_id = 306416) 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=306416 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 = 312861 AND W.type_id = 1) OR (W.util_id <> 312861 AND W.type_id = 2)) AND (M.post_util_id = 312861 OR M.dest_util_id = 312861) 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=312861 AND note_visu IN (1,3,4)

38. 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 = 308622 AND W.type_id = 1) OR (W.util_id <> 308622 AND W.type_id = 2)) AND (M.post_util_id = 308622 OR M.dest_util_id = 308622) 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=308622 AND note_visu IN (1,3,4)

40. 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 = 107615 AND W.type_id = 1) OR (W.util_id <> 107615 AND W.type_id = 2)) AND (M.post_util_id = 107615 OR M.dest_util_id = 107615) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=107615 AND note_visu IN (1,3,4)

42. 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 = 465870 AND W.type_id = 1) OR (W.util_id <> 465870 AND W.type_id = 2)) AND (M.post_util_id = 465870 OR M.dest_util_id = 465870) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=465870 AND note_visu IN (1,3,4)

44. 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 = 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 <> ''

45. 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)

46. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62880'

47. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

48. 0.0172

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.1602337955549 AND ville_longitude_deg<3.5731062044451 HAVING distance <= 50 ORDER BY distance ASC

49. 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 (50,1157,58)

50. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (278476,215018,312861,107615,308622,306416,176516,211063,239164,246638,545384,465870)

51. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (278476,215018,312861,107615,308622,306416,176516,211063,239164,246638,545384,465870)

52. 0.0004

    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

53. 0.0003

    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='perceuse' OR ssrubr_slug like '%perceuse%' OR MATCH (ssrubr_slug) AGAINST ('(+perceuse)')) AND sk.ssrubr_id='50' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 <> 50 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='50' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0.0001

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

57. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

58. 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

59. 0.0016

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

60. 0.0345

    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'

61. 0.0252

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

61 requetes sql en 0.259