Service cap petite enfance à 95310 Saint-ouen-l'aumône

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('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95310' AND ville_nom like '%saint%ouen%l%aumone%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%cap%petite%enfance%' OR ssrubr_title like '%cap%petite%enfance%' OR ssrubr_slug like '%cap%petite%enfance%') 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='95310'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>1.8422351972841 AND ville_longitude_deg<2.3911048027159 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cap petite enfance'

14. 0.0009

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='940' AND wish_visu IN (1,6,10) AND wish_cp like '95310%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='cap petite enfance' OR ssrubr_slug='cap-petite-enfance' OR (ssrubr_title like '%cap petite enfance%')) 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='cap-petite-enfance' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95310'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>1.8422351972841 AND ville_longitude_deg<2.3911048027159 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0141

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.600339197041 AND ville_latitude_deg<49.499660802959 AND ville_longitude_deg>1.4305770769771 AND ville_longitude_deg<2.8027629230229 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0011

    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((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- 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='940' AND wish_visu IN (1,6,10) AND wish_cp IN (95310,95310,95300,95300,95610,95000,95430,95520,95650,95480,95000,95300,95300,95650,95540,95490,95220,78780,95250,95430,95280,95630,95650,95740,95150,95550,78700,95760,95810,78570,95800,95840,95370,95810,95650,95650,95000,95690,95240,78570,95840,78260,95130,95830,95620,95450,95320,95180,95810,95530,95690,95560,95810,95290,95830,78510,95130,78600,95690,78740,95390,95690,95810,78500,95450,78480,95450,95450,78600,78955,95590,95680,78740,95120,95640,95600,95570,95660,95110,78540,95560,95450,78300,95450,78670,78670,95260,95580,95580,95560,95640,95100,95810,95340,95870,78360,95560,78250,95810,95640,95640,95450,95260,95590,95210,95218,95230,95640,95340,78420,95640,78130,95570,95330,78800,95640,60230,95450,78250,95590,78130,95450,78250,60110,78110,78230,95160,78250,78100,95570,60240,95640,95880,60119,95350,95450,95170,92700,78630,92000,78240,93800,95270,78250,60119,60540,60540,78240,95270,95450,78410,95460,95450,78920,92270,78560,95410,95450,95570,95750,95340,92230,78630,78750,78400,78112,60110,95450,95350,60530,92250,93430,95270,95360,78440,60540,95820,92500,78250,92400,92600,95270,95440,60119,60530) 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 (57490,75427,101870,86826,264011,403095)

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 = 57490 AND W.type_id = 1) OR (W.util_id <> 57490 AND W.type_id = 2)) AND (M.post_util_id = 57490 OR M.dest_util_id = 57490) 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=57490 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 = 75427 AND W.type_id = 1) OR (W.util_id <> 75427 AND W.type_id = 2)) AND (M.post_util_id = 75427 OR M.dest_util_id = 75427) 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=75427 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 = 101870 AND W.type_id = 1) OR (W.util_id <> 101870 AND W.type_id = 2)) AND (M.post_util_id = 101870 OR M.dest_util_id = 101870) 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=101870 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 = 86826 AND W.type_id = 1) OR (W.util_id <> 86826 AND W.type_id = 2)) AND (M.post_util_id = 86826 OR M.dest_util_id = 86826) 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=86826 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 = 264011 AND W.type_id = 1) OR (W.util_id <> 264011 AND W.type_id = 2)) AND (M.post_util_id = 264011 OR M.dest_util_id = 264011) 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=264011 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 = 403095 AND W.type_id = 1) OR (W.util_id <> 403095 AND W.type_id = 2)) AND (M.post_util_id = 403095 OR M.dest_util_id = 403095) 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=403095 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='95310'

36. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>1.8422351972841 AND ville_longitude_deg<2.3911048027159 HAVING distance <= 20 ORDER BY distance ASC

37. 0.014

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.600339197041 AND ville_latitude_deg<49.499660802959 AND ville_longitude_deg>1.4305770769771 AND ville_longitude_deg<2.8027629230229 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 (940)

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 (101870,57490,264011,86826,403095,75427)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (101870,57490,264011,86826,403095,75427)

41. 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='cap petite enfance' OR ssrubr_slug like '%cap petite enfance%' OR MATCH (ssrubr_slug) AGAINST ('(+cap +petite +enfance)')) AND sk.ssrubr_id='940' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 39 AND ss.ssrubr_id <> 940 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='940' 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

46. 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

47. 0.0012

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

48. 0.0229

    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. 0.0171

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

49 requetes sql en 0.0838