Service tresses africaines à 59250 Halluin

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='coiffure-esthetique'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=43

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='59250' AND ville_nom like '%halluin%' 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 '%tresses%africaines%' OR ssrubr_title like '%tresses%africaines%' OR ssrubr_slug like '%tresses%africaines%') AND cate_id='43' 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='59250'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.553435678816 AND ville_latitude_deg<50.913164321184 AND ville_longitude_deg>2.7991527158171 AND ville_longitude_deg<3.3675072841829 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tresses africaine; tresses africaines'

14. 0.0028

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43' AND ssrubr_id='574' AND wish_visu IN (1,6,10) AND wish_cp like '59250%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=43

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='tresses africaine; tresses africaines' OR ssrubr_slug='tresses-africaine;-tresses-africaines' OR (ssrubr_title like '%tresses africaine; tresses africaines%')) AND cate_id='43' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tresses-africaines' AND cate_id='43'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59250'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.553435678816 AND ville_latitude_deg<50.913164321184 AND ville_longitude_deg>2.7991527158171 AND ville_longitude_deg<3.3675072841829 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.283639197041 AND ville_latitude_deg<51.182960802959 AND ville_longitude_deg>2.3728806632822 AND ville_longitude_deg<3.7937793367178 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0029

    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((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- 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='43' AND ssrubr_id='574' AND wish_visu IN (1,6,10) AND wish_cp IN (59250,59250,59223,59126,59166,59910,59117,59200,59960,59420,59560,59118,8940,59890,59520,7780,7780,59655,59650,59493,59491,59100,59700,8930,8930,59237,8940,59350,7700,59170,59290,7784,59110,59560,59890,59840,8560,7712,7784,59130,8930,59150,59370,7781,59236,7700,59840,59000,59160,59350,59800,59777,8980,8511,59390,59390,59116,59510,59160,59390,8980,59115,8902,8560,8510,59510,8890,59260,59840,8510,7730,8980,8957,59390,59120,59320,59930,7730,8880,7783,7782,8501,7730,59320,8510,59320,7730,59790,8560,59280,8953,7711,59780,8880,8501,59320,59320,8902,59152,59320,8952,8500,7730,59155,59320,59320,59810,59139,59280,7730,8980,59152,59152,7520,8902,8880,59139,59193,8510,59320,59211,59152,59262,8890,8950,59850,7730,59830,59175,7740,59175,7740,8956,59780,59134,8950,8980,8900,59134,8520,8587,8900,59273,59263,7522,62840,8550) 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 (13211,417017,532297,537896)

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 = 13211 AND W.type_id = 1) OR (W.util_id <> 13211 AND W.type_id = 2)) AND (M.post_util_id = 13211 OR M.dest_util_id = 13211) 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=13211 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 = 417017 AND W.type_id = 1) OR (W.util_id <> 417017 AND W.type_id = 2)) AND (M.post_util_id = 417017 OR M.dest_util_id = 417017) 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=417017 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 = 532297 AND W.type_id = 1) OR (W.util_id <> 532297 AND W.type_id = 2)) AND (M.post_util_id = 532297 OR M.dest_util_id = 532297) 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=532297 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 = 537896 AND W.type_id = 1) OR (W.util_id <> 537896 AND W.type_id = 2)) AND (M.post_util_id = 537896 OR M.dest_util_id = 537896) 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=537896 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59250'

32. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.553435678816 AND ville_latitude_deg<50.913164321184 AND ville_longitude_deg>2.7991527158171 AND ville_longitude_deg<3.3675072841829 HAVING distance <= 20 ORDER BY distance ASC

33. 0.007

    SELECT ville_cp, ROUND((((acos(sin((50.7333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.283639197041 AND ville_latitude_deg<51.182960802959 AND ville_longitude_deg>2.3728806632822 AND ville_longitude_deg<3.7937793367178 HAVING distance <= 50 ORDER BY distance ASC

34. 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 (574)

35. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (532297,537896,417017,13211)

36. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (532297,537896,417017,13211)

37. 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='tresses africaine; tresses africaines' OR ssrubr_slug like '%tresses africaine; tresses africaines%' OR MATCH (ssrubr_slug) AGAINST ('(+tresses +africaine; +tresses +africaines)')) AND sk.ssrubr_id='574' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 43 AND ss.ssrubr_id <> 574 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='574' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

42. 0.0002

    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 (43) ORDER BY ssrubr_order ASC

43. 0.001

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

44. 0.0268

    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'

45. 0.0198

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

45 requetes sql en 0.0799