Service entretien jardin à 78710 Rosny-sur-seine

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='jardinage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78710' AND ville_nom like '%rosny%sur%seine%' 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 '%entretien%jardin%' OR ssrubr_title like '%entretien%jardin%' OR ssrubr_slug like '%entretien%jardin%') AND cate_id='38' 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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='78710'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.359170802952 AND ville_longitude_deg<1.907489197048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='entretien jardin; entretiens de jardin; jardinier;'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='527' AND wish_visu IN (1,6,10) AND wish_cp like '78710%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='entretien jardin; entretiens de jardin; jardinier;' OR ssrubr_slug='entretien-jardin;-entretiens-de-jardin;-jardinier;' OR (ssrubr_title like '%entretien jardin; entretiens de jardin; jardinier;%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='entretien-jardin' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78710'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.359170802952 AND ville_longitude_deg<1.907489197048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0158

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>0.94792609708828 AND ville_longitude_deg<2.3187339029117 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0043

    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*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- 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='38' AND ssrubr_id='527' AND wish_visu IN (1,6,10) AND wish_cp IN (78710,78710,78520,78200,78270,78200,78270,78200,78200,78200,78270,78200,78200,78270,78200,78840,78200,78270,78520,78200,78980,78520,78711,78270,78200,78200,78980,78270,78520,78930,78840,78930,78270,78930,95780,78930,78980,78270,78270,95780,78440,78200,78270,95780,27620,27620,95510,78790,78980,95510,27620,78930,78980,78980,78440,78440,78270,78270,78440,78790,95510,78111,78440,27640,95510,78790,78790,27120,78930,78270,28260,78980,78970,78440,27630,78790,95510,95510,78790,28260,78790,78440,28260,78930,95710,78790,27120,78790,78440,78790,27200,78580,78680,78910,78910,95710,27620,27120,27640,78910,78440,27730,95420,95420,78440,78410,78410,27120,78820,27120,95420,78910,27630,78770,78250,78410,27630,78440,28260,78910,95420,27120,27780,95710,27950,95450,27640,78410,27950,78126,27730,28260,28560,27540,78250,27510,78910,28560,27120,27120,78580,95420,95420,78770,27630,27950,95450,27630,27730,78580,27950,78770,78550,78910,27630,78910,78250,28260,78770,27510,95420,95450,78250,78550,27950,27120,78250,27120,78410,78910,95420,95420,78770) 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 (84026,116107,288665,476652,496900,527090)

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 = 84026 AND W.type_id = 1) OR (W.util_id <> 84026 AND W.type_id = 2)) AND (M.post_util_id = 84026 OR M.dest_util_id = 84026) 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=84026 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 = 116107 AND W.type_id = 1) OR (W.util_id <> 116107 AND W.type_id = 2)) AND (M.post_util_id = 116107 OR M.dest_util_id = 116107) 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=116107 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 = 288665 AND W.type_id = 1) OR (W.util_id <> 288665 AND W.type_id = 2)) AND (M.post_util_id = 288665 OR M.dest_util_id = 288665) 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=288665 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 = 476652 AND W.type_id = 1) OR (W.util_id <> 476652 AND W.type_id = 2)) AND (M.post_util_id = 476652 OR M.dest_util_id = 476652) 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=476652 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 = 496900 AND W.type_id = 1) OR (W.util_id <> 496900 AND W.type_id = 2)) AND (M.post_util_id = 496900 OR M.dest_util_id = 496900) 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=496900 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 = 527090 AND W.type_id = 1) OR (W.util_id <> 527090 AND W.type_id = 2)) AND (M.post_util_id = 527090 OR M.dest_util_id = 527090) 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=527090 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='78710'

36. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.359170802952 AND ville_longitude_deg<1.907489197048 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0144

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>0.94792609708828 AND ville_longitude_deg<2.3187339029117 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 (527)

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 (288665,476652,84026,496900,527090,116107)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (288665,476652,84026,496900,527090,116107)

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='entretien jardin; entretiens de jardin; jardinier;' OR ssrubr_slug like '%entretien jardin; entretiens de jardin; jardinier;%' OR MATCH (ssrubr_slug) AGAINST ('(+entretien +jardin; +entretiens +de +jardin; +jardinier;)')) AND sk.ssrubr_id='527' 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 = 38 AND ss.ssrubr_id <> 527 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='527' 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 (38) ORDER BY ssrubr_order ASC

47. 0.001

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

48. 0.0253

    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. 0.0169

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

49 requetes sql en 0.0898