Location taille haie à 59580 Aniche

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-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

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='59580' AND ville_nom like '%aniche%' 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 '%taille%haie%' OR ssrubr_title like '%taille%haie%' OR ssrubr_slug like '%taille%haie%') AND cate_id='88' 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='59580'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>2.9683205104031 AND ville_longitude_deg<3.5316794895969 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='taille haie'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88' AND ssrubr_id='14' AND wish_visu IN (1,6,10) AND wish_cp like '59580%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='taille haie' OR ssrubr_slug='taille-haie' OR (ssrubr_title like '%taille haie%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='taille-haie' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59580'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>2.9683205104031 AND ville_longitude_deg<3.5316794895969 HAVING distance <= 20 ORDER BY distance ASC

20. 0.014

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.867039197041 AND ville_latitude_deg<50.766360802959 AND ville_longitude_deg>2.5457952035945 AND ville_longitude_deg<3.9542047964055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0043

    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((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- 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='88' AND ssrubr_id='14' AND wish_visu IN (1,6,10) AND wish_cp IN (59580,59580,59580,59165,59234,59252,59252,59215,59172,59176,59234,59176,59234,59490,59252,59169,59111,59490,59111,59247,59172,59179,59182,59287,59156,59182,59111,59171,59169,59124,59151,59870,59247,59293,59146,59295,59295,59287,59171,59265,59247,59111,59870,59554,59167,59265,59141,59265,59220,59282,59169,59171,59151,59187,59282,59870,59141,59870,59169,59450,59400,59554,59255,59151,59268,62860,59194,59265,59141,59220,59135,59119,62860,62860,59296,59151,59870,59265,59870,59161,59121,59161,59148,59169,59220,59151,62860,59161,59195,59552,59554,59870,59194,59198,62860,59500,59135,59121,62112,59178,59554,62112,59224,62490,59178,59195,59552,59178,59277,59554,62860,62860,59554,59310,59161,62490,59188,59224,62490,59230,59553,59553,62860,59129,59310,59494,59286,59188,62860,59259,59230,59125,59233,62117,59400,59310,59178,59128,59227,59174,59227,59400,59267,62860,59553,59494,59227,59283,59400,59950,62860,59217,59590,62490,62156,59230,62790,62860,59188,59400,59410,62156,59213,59310,59310,59400,59292,59310,59310,59300,59283,62490,59192,59269,59310,59690,59267,62490,59213,62156,59226,62860,59226,59235,59300,62970,59294) 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 (95333,138950,322994,248307,396249,542014)

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 = 95333 AND W.type_id = 1) OR (W.util_id <> 95333 AND W.type_id = 2)) AND (M.post_util_id = 95333 OR M.dest_util_id = 95333) 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=95333 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 = 138950 AND W.type_id = 1) OR (W.util_id <> 138950 AND W.type_id = 2)) AND (M.post_util_id = 138950 OR M.dest_util_id = 138950) 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=138950 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 = 322994 AND W.type_id = 1) OR (W.util_id <> 322994 AND W.type_id = 2)) AND (M.post_util_id = 322994 OR M.dest_util_id = 322994) 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=322994 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 = 248307 AND W.type_id = 1) OR (W.util_id <> 248307 AND W.type_id = 2)) AND (M.post_util_id = 248307 OR M.dest_util_id = 248307) 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=248307 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 = 396249 AND W.type_id = 1) OR (W.util_id <> 396249 AND W.type_id = 2)) AND (M.post_util_id = 396249 OR M.dest_util_id = 396249) 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=396249 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 = 542014 AND W.type_id = 1) OR (W.util_id <> 542014 AND W.type_id = 2)) AND (M.post_util_id = 542014 OR M.dest_util_id = 542014) 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=542014 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59580'

36. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>2.9683205104031 AND ville_longitude_deg<3.5316794895969 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0138

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.867039197041 AND ville_latitude_deg<50.766360802959 AND ville_longitude_deg>2.5457952035945 AND ville_longitude_deg<3.9542047964055 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (14)

39. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (248307,95333,396249,542014,138950,322994)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (248307,95333,396249,542014,138950,322994)

41. 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='taille haie' OR ssrubr_slug like '%taille haie%' OR MATCH (ssrubr_slug) AGAINST ('(+taille +haie)')) AND sk.ssrubr_id='14' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 88 AND ss.ssrubr_id <> 14 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='14' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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 (88) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 0.0215

    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'

49. 0.0197

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

49 requetes sql en 0.0866