Location ponceuse à 14990 Bernières-sur-mer

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('14' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14990' AND ville_nom like '%bernieres%sur%mer%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%ponceuse%' OR ssrubr_title like '%ponceuse%' OR ssrubr_slug like '%ponceuse%') 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='14990'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.69267789476121 AND ville_longitude_deg<-0.14065610523879 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='ponceuse'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND ssrubr_id='44' AND wish_visu IN (1,6,10) AND wish_cp like '14990%'

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

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14990'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.69267789476121 AND ville_longitude_deg<-0.14065610523879 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0257

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.883639197041 AND ville_latitude_deg<49.782960802959 AND ville_longitude_deg>-1.1067001871134 AND ville_longitude_deg<0.27336618711336 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0071

    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((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- 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 ssrubr_id='44' AND wish_visu IN (1,6,10) AND wish_cp IN (14990,14990,14750,14470,14470,14830,14470,14610,14440,14610,14440,14530,14480,14480,14440,14440,14610,14480,14610,14610,14780,14480,14114,14112,14480,14880,14610,14610,14480,14920,14480,14480,14880,14480,14960,14610,14740,14610,14740,14960,14970,14480,14480,14480,14480,14112,14280,14740,14960,14150,14970,14980,14610,14550,14480,14400,14400,14117,14400,14740,14280,14121,14480,14740,14740,14860,14740,14400,14860,14200,14810,14280,14650,14117,14117,14250,14460,14400,14740,14860,14000,14400,14740,14850,14250,14740,14400,14810,14400,14760,14850,14111,14250,14400,14730,14250,14400,14120,14210,14840,14840,14250) 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 (78549,322930,364798,477502,386950)

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 = 78549 AND W.type_id = 1) OR (W.util_id <> 78549 AND W.type_id = 2)) AND (M.post_util_id = 78549 OR M.dest_util_id = 78549) 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=78549 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 = 322930 AND W.type_id = 1) OR (W.util_id <> 322930 AND W.type_id = 2)) AND (M.post_util_id = 322930 OR M.dest_util_id = 322930) 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=322930 AND note_visu IN (1,3,4)

27. 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 = 364798 AND W.type_id = 1) OR (W.util_id <> 364798 AND W.type_id = 2)) AND (M.post_util_id = 364798 OR M.dest_util_id = 364798) 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=364798 AND note_visu IN (1,3,4)

29. 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 = 477502 AND W.type_id = 1) OR (W.util_id <> 477502 AND W.type_id = 2)) AND (M.post_util_id = 477502 OR M.dest_util_id = 477502) 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=477502 AND note_visu IN (1,3,4)

31. 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 = 386950 AND W.type_id = 1) OR (W.util_id <> 386950 AND W.type_id = 2)) AND (M.post_util_id = 386950 OR M.dest_util_id = 386950) 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=386950 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14990'

34. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.69267789476121 AND ville_longitude_deg<-0.14065610523879 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0247

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.416667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.883639197041 AND ville_latitude_deg<49.782960802959 AND ville_longitude_deg>-1.1067001871134 AND ville_longitude_deg<0.27336618711336 HAVING distance <= 50 ORDER BY distance ASC

36. 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 (44)

37. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (78549,477502,364798,322930,386950)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (78549,477502,364798,322930,386950)

39. 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='ponceuse' OR ssrubr_slug like '%ponceuse%' OR MATCH (ssrubr_slug) AGAINST ('(+ponceuse)')) AND sk.ssrubr_id='44' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 <> 44 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='44' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0001

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

43. 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

44. 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

45. 0.0012

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

46. 0.0251

    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'

47. 0.0178

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

47 requetes sql en 0.1172