Service garde chien à 74160 Feigères

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='garde-d-animaux'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=45

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('74' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='74160' AND ville_nom like '%feigeres%' 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 '%garde%animaux%' OR ssrubr_title like '%garde%animaux%' OR ssrubr_slug like '%garde%animaux%') AND cate_id='45' 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='74160'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.953435678816 AND ville_latitude_deg<46.313164321184 AND ville_longitude_deg>5.8237787056974 AND ville_longitude_deg<6.3428812943026 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chien; pet sitter; petsitter; garde animaux'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp like '74160%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug='chien;-pet-sitter;-petsitter;-garde-animaux' OR (ssrubr_title like '%chien; pet sitter; petsitter; garde animaux%')) AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='garde-animaux' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='74160'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.953435678816 AND ville_latitude_deg<46.313164321184 AND ville_longitude_deg>5.8237787056974 AND ville_longitude_deg<6.3428812943026 HAVING distance <= 20 ORDER BY distance ASC

20. 0.008

    SELECT ville_cp, ROUND((((acos(sin((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.683639197041 AND ville_latitude_deg<46.582960802959 AND ville_longitude_deg>5.4344461688672 AND ville_longitude_deg<6.7322138311328 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0099

    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((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- 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='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp IN (74160,74160,74160,74160,1258,1286,1257,74160,74160,74580,1228,74160,1232,1287,74160,1233,74160,1212,1256,1213,1285,1236,74520,74160,1213,1211,1212,1227,1288,1213,1219,1234,74350,1237,1227,74350,1283,1255,1284,1219,1205,1206,74350,1281,1203,1214,74350,1240,1200,1204,1219,74560,74520,1231,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,1211,74350,74350,1208,74560,1242,1201,1220,1207,1216,01550,1209,1283,01630,74270,74520,1202,1224,74930,1211,1217,74350,1217,1225,74350,1215,1218,1226,74240,1215,1211,74520,74270,74350,74520,74520,1223,1211,1292,74100,74100,74350,74270,01280,74520,01210,1253,01550,74270,01630,01630,01630,01710,01550,74930,1293,1241,01630,74270,74100,74100,74100,74800,1244,74350,74570,74350,1222,74380,74930,1294,01200,74570,74270,1245,74270,1239,74270,1243,01210,74380,74330,1252,74800,01170,01170,74270,74380,01200,74330,74100,01200,74270,74270,1290,1246,74800,01170,74380,74350,01210,74330,1254,74370,01200,74130,74930,74380,74800,1251,1247,74270,74250,74140,74800,1295) 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 (68133,92014,122743,170219,165117,228770,231569,435469,492648,503215,528378)

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 = 68133 AND W.type_id = 1) OR (W.util_id <> 68133 AND W.type_id = 2)) AND (M.post_util_id = 68133 OR M.dest_util_id = 68133) 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=68133 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 = 92014 AND W.type_id = 1) OR (W.util_id <> 92014 AND W.type_id = 2)) AND (M.post_util_id = 92014 OR M.dest_util_id = 92014) 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=92014 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 = 122743 AND W.type_id = 1) OR (W.util_id <> 122743 AND W.type_id = 2)) AND (M.post_util_id = 122743 OR M.dest_util_id = 122743) 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=122743 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 = 170219 AND W.type_id = 1) OR (W.util_id <> 170219 AND W.type_id = 2)) AND (M.post_util_id = 170219 OR M.dest_util_id = 170219) 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=170219 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 = 165117 AND W.type_id = 1) OR (W.util_id <> 165117 AND W.type_id = 2)) AND (M.post_util_id = 165117 OR M.dest_util_id = 165117) 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=165117 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 = 228770 AND W.type_id = 1) OR (W.util_id <> 228770 AND W.type_id = 2)) AND (M.post_util_id = 228770 OR M.dest_util_id = 228770) 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=228770 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 = 231569 AND W.type_id = 1) OR (W.util_id <> 231569 AND W.type_id = 2)) AND (M.post_util_id = 231569 OR M.dest_util_id = 231569) 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=231569 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 = 435469 AND W.type_id = 1) OR (W.util_id <> 435469 AND W.type_id = 2)) AND (M.post_util_id = 435469 OR M.dest_util_id = 435469) 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=435469 AND note_visu IN (1,3,4)

39. 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 = 492648 AND W.type_id = 1) OR (W.util_id <> 492648 AND W.type_id = 2)) AND (M.post_util_id = 492648 OR M.dest_util_id = 492648) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=492648 AND note_visu IN (1,3,4)

41. 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 = 503215 AND W.type_id = 1) OR (W.util_id <> 503215 AND W.type_id = 2)) AND (M.post_util_id = 503215 OR M.dest_util_id = 503215) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=503215 AND note_visu IN (1,3,4)

43. 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 = 528378 AND W.type_id = 1) OR (W.util_id <> 528378 AND W.type_id = 2)) AND (M.post_util_id = 528378 OR M.dest_util_id = 528378) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=528378 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='74160'

46. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.953435678816 AND ville_latitude_deg<46.313164321184 AND ville_longitude_deg>5.8237787056974 AND ville_longitude_deg<6.3428812943026 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((46.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.683639197041 AND ville_latitude_deg<46.582960802959 AND ville_longitude_deg>5.4344461688672 AND ville_longitude_deg<6.7322138311328 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (951)

49. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (165117,228770,68133,231569,92014,170219,528378,503215,435469,492648,122743)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (165117,228770,68133,231569,92014,170219,528378,503215,435469,492648,122743)

51. 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='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug like '%chien; pet sitter; petsitter; garde animaux%' OR MATCH (ssrubr_slug) AGAINST ('(+chien; +pet +sitter; +petsitter; +garde +animaux)')) AND sk.ssrubr_id='951' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 = 45 AND ss.ssrubr_id <> 951 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='951' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0

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

55. 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

56. 0.0001

    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 (45) ORDER BY ssrubr_order ASC

57. 0.0009

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

58. 0.0232

    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'

59. 0.0168

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

59 requetes sql en 0.0799