Service coiffure à 34810 Pomérols

1. 0.0001

   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('34' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='34810' AND ville_nom like '%pomerols%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%coiffure%' OR ssrubr_title like '%coiffure%' OR ssrubr_slug like '%coiffure%') 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='34810'

12. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.907535678816 AND ville_latitude_deg<41.267264321184 AND ville_longitude_deg>28.832260326156 AND ville_longitude_deg<29.309539673844 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='coiffure; afro; tissage; tresse; coiffure; coiffeu'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43' AND ssrubr_id='571' AND wish_visu IN (1,6,10) AND wish_cp like '34810%'

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='coiffure; afro; tissage; tresse; coiffure; coiffeu' OR ssrubr_slug='coiffure;-afro;-tissage;-tresse;-coiffure;-coiffeu' OR (ssrubr_title like '%coiffure; afro; tissage; tresse; coiffure; coiffeu%')) 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='coiffure' AND cate_id='43'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34810'

19. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.907535678816 AND ville_latitude_deg<41.267264321184 AND ville_longitude_deg>28.832260326156 AND ville_longitude_deg<29.309539673844 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.637739197041 AND ville_latitude_deg<41.537060802959 AND ville_longitude_deg>28.474295670825 AND ville_longitude_deg<29.667504329175 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0044

    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((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- 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='571' AND wish_visu IN (1,6,10) AND wish_cp IN (34810,34810,34470,34382,34684,34805,34342,34337,34460,34345,34800,34467,34335,34464,34340,34680,34330,34398,34676,34457,34830,34347,34394,34870,34349,34387,34825,34820,34829,34674,34396,34353,34357,34365,34403,34381,34453,34662,34421,34425,34427,34413,34418,34415,34410,34367,34682,34182,34371,34379,34375,34377,34373,34450,34450,34437,34664,34435,34430,34433,34660,34360,34384,34668,34782,34440,34406,34400,34060,34065,34445,34112,34779,34771,34773,34774,34775,34776,34116,34110,34873,34718,34710,34716,34714,34080,34083,34087,34122,34760,34762,34766,34768,34764,34707,34704,34700,34473,34120,34040,34040,34035,34025,34020,34045,34126,34752,34755,34750,34758,34788,34050,34091,34134,34130,34096,34722,34724,34720,34728,34726,34055,34730,34736,34734,34732,34010,34093,34015,34738,34746,34740,34104,34742,34245,34240,34265,34260,34173,34098,34785,34744,34250,34255,34075,34840,34890,34899,34791,34799,34186,34696,34692,34690,34380,34699,34794,34235,34230,34076,34070,34852,34854,34858,34107,34225,34220,34270,34165,34164,34160,34848,34843,34841,34844,34077,34200,34204,34209,34203,34920,34912,34916,34925) 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 (70126,95643,121647,109988,164268,245309,318381,282189)

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 = 70126 AND W.type_id = 1) OR (W.util_id <> 70126 AND W.type_id = 2)) AND (M.post_util_id = 70126 OR M.dest_util_id = 70126) 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=70126 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 = 95643 AND W.type_id = 1) OR (W.util_id <> 95643 AND W.type_id = 2)) AND (M.post_util_id = 95643 OR M.dest_util_id = 95643) 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=95643 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 = 121647 AND W.type_id = 1) OR (W.util_id <> 121647 AND W.type_id = 2)) AND (M.post_util_id = 121647 OR M.dest_util_id = 121647) 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=121647 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 = 109988 AND W.type_id = 1) OR (W.util_id <> 109988 AND W.type_id = 2)) AND (M.post_util_id = 109988 OR M.dest_util_id = 109988) 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=109988 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 = 164268 AND W.type_id = 1) OR (W.util_id <> 164268 AND W.type_id = 2)) AND (M.post_util_id = 164268 OR M.dest_util_id = 164268) 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=164268 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 = 245309 AND W.type_id = 1) OR (W.util_id <> 245309 AND W.type_id = 2)) AND (M.post_util_id = 245309 OR M.dest_util_id = 245309) 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=245309 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 = 318381 AND W.type_id = 1) OR (W.util_id <> 318381 AND W.type_id = 2)) AND (M.post_util_id = 318381 OR M.dest_util_id = 318381) 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=318381 AND note_visu IN (1,3,4)

37. 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 = 282189 AND W.type_id = 1) OR (W.util_id <> 282189 AND W.type_id = 2)) AND (M.post_util_id = 282189 OR M.dest_util_id = 282189) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=282189 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34810'

40. 0.0007

    SELECT ville_cp, ROUND((((acos(sin((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.907535678816 AND ville_latitude_deg<41.267264321184 AND ville_longitude_deg>28.832260326156 AND ville_longitude_deg<29.309539673844 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((41.0874*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0874*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0709- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.637739197041 AND ville_latitude_deg<41.537060802959 AND ville_longitude_deg>28.474295670825 AND ville_longitude_deg<29.667504329175 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (571)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (245309,109988,282189,318381,121647,70126,95643,164268)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (245309,109988,282189,318381,121647,70126,95643,164268)

45. 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='coiffure; afro; tissage; tresse; coiffure; coiffeu' OR ssrubr_slug like '%coiffure; afro; tissage; tresse; coiffure; coiffeu%' OR MATCH (ssrubr_slug) AGAINST ('(+coiffure; +afro; +tissage; +tresse; +coiffure; +coiffeu)')) AND sk.ssrubr_id='571' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 <> 571 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='571' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

49. 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

50. 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

51. 0.0009

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

52. 0.0216

    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'

53. 0.0161

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

53 requetes sql en 0.0545