Service promeneur chien à 59133 Phalempin

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='garde-d-animaux'

3. 0

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59133' AND ville_nom like '%phalempin%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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 '%promeneur%chien%' OR ssrubr_title like '%promeneur%chien%' OR ssrubr_slug like '%promeneur%chien%') 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. 0.0002

    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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59133'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='promeneur; promeneur chien'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45'AND MATCH (wish_title,wish_desc) AGAINST ('+promeneur; promeneur chien*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59133%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='promeneur; promeneur chien' OR ssrubr_slug='promeneur;-promeneur-chien' OR (ssrubr_title like '%promeneur; promeneur chien%')) 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='promeneur-chien' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59133'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0167

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.067039197041 AND ville_latitude_deg<50.966360802959 AND ville_longitude_deg>2.309485768042 AND ville_longitude_deg<3.723854231958 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0579

    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((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- 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 MATCH (wish_desc) AGAINST ('(+promeneur; +promeneur +chien*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59133,59133,59133,59551,59147,59239,59112,62820,59113,59261,59147,59239,59251,59710,59551,59147,62220,59263,59175,62590,59112,59175,59710,59185,59710,59246,59139,59162,59139,59272,59155,59710,59283,59136,62880,59184,59273,59320,62141,59221,62710,59320,62119,62410,62790,59310,59235,59810,59211,59283,62138,59242,59496,59242,62880,62880,59790,62640,62440,59120,62970,59274,59950,59320,62950,59320,59134,62740,59273,59134,62880,59134,59286,62410,59320,59320,62110,59262,62138,59134,59496,59260,59320,59128,59160,59350,59800,59777,59000,59320,59830,62410,59310,59320,62420,59194,59830,62221,62218,59480,59242,59134,62410,59130,59310,59249,59553,59553,59830,59160,59110,62138,59370,62430,59480,59148,59840,59830,59152,59249,59152,62300,59194,59350,59310,62320,59119,62320,62138,62138,59310,59553,59840,62680,62490,59152,62320,59840,59500,62490,59700,59830,62840,59510,59280,62320,59152,62300,59520,59830,59780,62840,62750,59450,59167,62149,62210,59830,59552,59237,59118,59552,62149,59310,59780,59870,59170,59290,62580,59310,59510,62840,62580,59187,62580) AND type_id=1 GROUP BY wish_id

22. 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 = 181315 AND W.type_id = 1) OR (W.util_id <> 181315 AND W.type_id = 2)) AND (M.post_util_id = 181315 OR M.dest_util_id = 181315) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=181315 AND note_visu IN (1,3,4)

24. 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 = 278456 AND W.type_id = 1) OR (W.util_id <> 278456 AND W.type_id = 2)) AND (M.post_util_id = 278456 OR M.dest_util_id = 278456) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=278456 AND note_visu IN (1,3,4)

26. 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 = 319308 AND W.type_id = 1) OR (W.util_id <> 319308 AND W.type_id = 2)) AND (M.post_util_id = 319308 OR M.dest_util_id = 319308) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=319308 AND note_visu IN (1,3,4)

28. 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 = 443106 AND W.type_id = 1) OR (W.util_id <> 443106 AND W.type_id = 2)) AND (M.post_util_id = 443106 OR M.dest_util_id = 443106) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=443106 AND note_visu IN (1,3,4)

30. 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 = 448248 AND W.type_id = 1) OR (W.util_id <> 448248 AND W.type_id = 2)) AND (M.post_util_id = 448248 OR M.dest_util_id = 448248) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=448248 AND note_visu IN (1,3,4)

32. 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 = 463390 AND W.type_id = 1) OR (W.util_id <> 463390 AND W.type_id = 2)) AND (M.post_util_id = 463390 OR M.dest_util_id = 463390) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=463390 AND note_visu IN (1,3,4)

34. 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 = 467191 AND W.type_id = 1) OR (W.util_id <> 467191 AND W.type_id = 2)) AND (M.post_util_id = 467191 OR M.dest_util_id = 467191) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=467191 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59133'

37. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0165

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.067039197041 AND ville_latitude_deg<50.966360802959 AND ville_longitude_deg>2.309485768042 AND ville_longitude_deg<3.723854231958 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (1210)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (319308,181315,448248,463390,278456,467191,443106)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (319308,181315,448248,463390,278456,467191,443106)

42. 0.0002

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=45 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

43. 0.0001

    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='promeneur; promeneur chien' OR ssrubr_slug like '%promeneur; promeneur chien%' OR MATCH (ssrubr_slug) AGAINST ('(+promeneur; +promeneur +chien)')) AND sk.ssrubr_id='1210' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 0.0001

    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 <> 1210 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1210' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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

48. 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

49. 0.0009

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

50. 0.0236

    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'

51. 0.0169

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

51 requetes sql en 0.1451