Service tonte pelouse à 59267 Cantaing-sur-escaut

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='3' AND cate_title_slug='jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

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='59267' AND ville_nom like '%cantaing%sur%escaut%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%tonte%de%pelouse%' OR ssrubr_title like '%tonte%de%pelouse%' OR ssrubr_slug like '%tonte%de%pelouse%') AND cate_id='38' 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. 0.0003

    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='59267'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>2.8859735956145 AND ville_longitude_deg<3.4473664043855 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tonte pelouse; tonte de pelouse'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+tonte pelouse; tonte de pelouse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59267%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='tonte pelouse; tonte de pelouse' OR ssrubr_slug='tonte-pelouse;-tonte-de-pelouse' OR (ssrubr_title like '%tonte pelouse; tonte de pelouse%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tonte-de-pelouse' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59267'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>2.8859735956145 AND ville_longitude_deg<3.4473664043855 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.700339197041 AND ville_latitude_deg<50.599660802959 AND ville_longitude_deg>2.4649229378163 AND ville_longitude_deg<3.8684170621837 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0573

    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((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- 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='3' AND cate_id='38' AND MATCH (wish_desc) AGAINST ('(+tonte +pelouse; +tonte +de +pelouse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59267,59267,59159,59400,59267,59400,59159,59281,62147,59554,59400,62860,59267,59241,59554,59400,59554,59554,59159,62147,62147,59265,59265,59231,59161,59258,59268,59400,62860,59400,59258,59554,62860,59161,62860,59258,62860,62147,59266,59400,59400,62860,59265,59161,62147,59400,62860,59554,62147,62860,59161,59265,62860,59231,59266,59247,62860,59231,62124,59217,59400,62860,59141,59127,59247,62147,59141,59266,59265,62124,59297,59217,59151,62860,62860,59247,62860,62124,62124,62182,62860,59295,59295,62860,62182,59141,59277,59191,59217,59157,62860,62124,59252,02420,59234,62124,59127,62124,02420,62124,59111,62156,80360,59127,62159,59217,59157,62124,59151,59151,59252,80122,59127,59191,59259,59142,59191,80240,62182,59129,59252,59151,59234,59111,80360,80740,62124,59169,59234,62182,62124,62156,62490,02420,80240,02420,62159,59214,62128,59540,59292,62156,62124,59127,59151,62128,59188,62128,62124,59225,59111,62156,59111,80360,02420,80740,59169,62490,80240,59225,02420,59188,62490,59296,62156,62124,59540,59169,80112,59172,02110,59188,62128,62450,62450,59580,80240,62156) 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 (83336,3238,165147,354506,362629,434595,493692)

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 = 83336 AND W.type_id = 1) OR (W.util_id <> 83336 AND W.type_id = 2)) AND (M.post_util_id = 83336 OR M.dest_util_id = 83336) 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=83336 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 = 3238 AND W.type_id = 1) OR (W.util_id <> 3238 AND W.type_id = 2)) AND (M.post_util_id = 3238 OR M.dest_util_id = 3238) 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=3238 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 = 165147 AND W.type_id = 1) OR (W.util_id <> 165147 AND W.type_id = 2)) AND (M.post_util_id = 165147 OR M.dest_util_id = 165147) 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=165147 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 = 354506 AND W.type_id = 1) OR (W.util_id <> 354506 AND W.type_id = 2)) AND (M.post_util_id = 354506 OR M.dest_util_id = 354506) 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=354506 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 = 362629 AND W.type_id = 1) OR (W.util_id <> 362629 AND W.type_id = 2)) AND (M.post_util_id = 362629 OR M.dest_util_id = 362629) 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=362629 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 = 434595 AND W.type_id = 1) OR (W.util_id <> 434595 AND W.type_id = 2)) AND (M.post_util_id = 434595 OR M.dest_util_id = 434595) 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=434595 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 = 493692 AND W.type_id = 1) OR (W.util_id <> 493692 AND W.type_id = 2)) AND (M.post_util_id = 493692 OR M.dest_util_id = 493692) 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=493692 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59267'

38. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>2.8859735956145 AND ville_longitude_deg<3.4473664043855 HAVING distance <= 20 ORDER BY distance ASC

39. 0.014

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.700339197041 AND ville_latitude_deg<50.599660802959 AND ville_longitude_deg>2.4649229378163 AND ville_longitude_deg<3.8684170621837 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (524)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (362629,165147,354506,3238,493692,83336,434595)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (362629,165147,354506,3238,493692,83336,434595)

43. 0.0001

    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='tonte pelouse; tonte de pelouse' OR ssrubr_slug like '%tonte pelouse; tonte de pelouse%' OR MATCH (ssrubr_slug) AGAINST ('(+tonte +pelouse; +tonte +de +pelouse)')) AND sk.ssrubr_id='524' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 3 AND ss.cate_id = 38 AND ss.ssrubr_id <> 524 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='524' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

48. 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 (38) ORDER BY ssrubr_order ASC

49. 0.0013

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

50. 0.0264

    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'

51. 0.0186

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

51 requetes sql en 0.1459