Service babysitter à 34360 Saint-chinian

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='babysitting'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

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='34360' AND ville_nom like '%saint%chinian%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0053

   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 '%babysitter%' OR ssrubr_title like '%babysitter%' OR ssrubr_slug like '%babysitter%') AND cate_id='39' 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='34360'

12. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.905335678816 AND ville_latitude_deg<41.265064321184 AND ville_longitude_deg>28.944868315652 AND ville_longitude_deg<29.422131684348 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='babysitter; babysitting; baby sitting; baby-sitter'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='1031' AND wish_visu IN (1,6,10) AND wish_cp like '34360%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug='babysitter;-babysitting;-baby-sitting;-baby-sitter' OR (ssrubr_title like '%babysitter; babysitting; baby sitting; baby-sitter%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='babysitter' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34360'

19. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.905335678816 AND ville_latitude_deg<41.265064321184 AND ville_longitude_deg>28.944868315652 AND ville_longitude_deg<29.422131684348 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.635539197041 AND ville_latitude_deg<41.534860802959 AND ville_longitude_deg>28.586915644735 AND ville_longitude_deg<29.780084355265 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0105

    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((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- 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='39' AND ssrubr_id='1031' AND wish_visu IN (1,6,10) AND wish_cp IN (34360,34360,34406,34400,34830,34782,34788,34265,34260,34779,34771,34775,34773,34776,34774,34800,34794,34699,34380,34186,34696,34692,34690,34799,34805,34785,34810,34791,34829,34820,34825,34684,34470,34382,34464,34467,34760,34700,34704,34762,34764,34707,34766,34768,34680,34460,34342,34345,34337,34676,34457,34873,34755,34752,34758,34750,34340,34335,34662,34347,34674,34330,34398,34738,34746,34450,34450,34182,34453,34732,34736,34734,34660,34664,34730,34394,34870,34349,34854,34852,34858,34387,34742,34925,34916,34920,34912,34396,34357,34353,34365,34740,34840,34744,34668,34720,34728,34722,34724,34726,34367,34381,34682,34403,34710,34718,34716,34714,34435,34430,34437,34433,34421,34415,34425,34413,34427,34410,34418,34843,34844,34848,34841,34371,34373,34375,34379,34377,34112,34384,34888,34885,34882,34880,34183,34887,34116,34890,34899,34440,34110,34473,34122,34846,34408,34120,34445) AND type_id=1 GROUP BY wish_id

22. 0.0008

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (131686,283483,361405,440199,487675)

23. 0.0022

    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 = 131686 AND W.type_id = 1) OR (W.util_id <> 131686 AND W.type_id = 2)) AND (M.post_util_id = 131686 OR M.dest_util_id = 131686) 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=131686 AND note_visu IN (1,3,4)

25. 0.0008

    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 = 283483 AND W.type_id = 1) OR (W.util_id <> 283483 AND W.type_id = 2)) AND (M.post_util_id = 283483 OR M.dest_util_id = 283483) 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=283483 AND note_visu IN (1,3,4)

27. 0.0003

    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 = 361405 AND W.type_id = 1) OR (W.util_id <> 361405 AND W.type_id = 2)) AND (M.post_util_id = 361405 OR M.dest_util_id = 361405) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0021

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=361405 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 = 440199 AND W.type_id = 1) OR (W.util_id <> 440199 AND W.type_id = 2)) AND (M.post_util_id = 440199 OR M.dest_util_id = 440199) 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=440199 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 = 487675 AND W.type_id = 1) OR (W.util_id <> 487675 AND W.type_id = 2)) AND (M.post_util_id = 487675 OR M.dest_util_id = 487675) 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=487675 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='34360'

34. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.905335678816 AND ville_latitude_deg<41.265064321184 AND ville_longitude_deg>28.944868315652 AND ville_longitude_deg<29.422131684348 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((41.0852*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0852*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1835- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.635539197041 AND ville_latitude_deg<41.534860802959 AND ville_longitude_deg>28.586915644735 AND ville_longitude_deg<29.780084355265 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 (1031)

37. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (440199,361405,487675,131686,283483)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (440199,361405,487675,131686,283483)

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='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug like '%babysitter; babysitting; baby sitting; baby-sitter%' OR MATCH (ssrubr_slug) AGAINST ('(+babysitter; +babysitting; +baby +sitting; +baby-sitter)')) AND sk.ssrubr_id='1031' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 = 3 AND ss.cate_id = 39 AND ss.ssrubr_id <> 1031 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1031' 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. 0.0002

    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

44. 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 (39) ORDER BY ssrubr_order ASC

45. 0.0017

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

46. 0.0636

    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. 0.0356

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

47 requetes sql en 0.1396