Location cloueuse à 95430 Auvers-sur-oise

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-bricolage'

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95430' AND ville_nom like '%auvers%sur%oise%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0012

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%cloueuse%' OR ssrubr_title like '%cloueuse%' OR ssrubr_slug like '%cloueuse%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='95430'

7. 0.002

   SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.892142974903 AND ville_longitude_deg<2.441197025097 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cloueuse'

9. 0.0003

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+cloueuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95430%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=87

11. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='cloueuse' OR ssrubr_slug='cloueuse' OR (ssrubr_title like '%cloueuse%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

12. 0.0001

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

13. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

14. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cloueuse' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95430'

17. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.892142974903 AND ville_longitude_deg<2.441197025097 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.4803465190362 AND ville_longitude_deg<2.8529934809638 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1217

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+cloueuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95430,95430,95540,95430,95630,95310,95740,95760,95300,95300,95840,95150,95550,95300,95480,95250,95300,95840,95620,95520,95290,95610,95220,95690,95690,95650,95560,95000,95320,95810,95590,95130,95810,95000,95390,95690,95690,95370,95660,95240,95560,95650,95570,95680,95260,78780,95490,95810,95130,78700,95560,95560,95650,95530,95590,95280,95810,95260,95600,95340,95340,95810,95120,78570,95590,95580,95580,95830,95650,95650,95570,95110,60230,95800,95330,78500,78600,78260,95830,95000,95230,78570,95450,95570,95810,95270,95210,95218,95270,95160,95640,95100,95350,95180,95570,78600,95340,95810,95450,95460,95270,60110,60540,60540,95870,95170,78510,60530,95640,95820,78740,95880,95270,95450,78955,95450,95640,78480,95410,95270,95350,95640,60530,93800,60110,78420,78360,95440,78740,78800,60540,95720,95450,60119,78300,95720,95450,60820,60540,95640,95360,78540,95640,95640,95200,95400,93430,60530,92230,60240,92700,78670,78670,95450,95270,92270,95270,93380,60119,95720,60110,92000,60530,60540,78110,95270,95450,78250,78230,92390,93450,92600,95850,60175,60530,92250,95450,78100,95640,78130,92400,60119,60530)

20. 0.0985

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- 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='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+cloueuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95430,95430,95540,95430,95630,95310,95740,95760,95300,95300,95840,95150,95550,95300,95480,95250,95300,95840,95620,95520,95290,95610,95220,95690,95690,95650,95560,95000,95320,95810,95590,95130,95810,95000,95390,95690,95690,95370,95660,95240,95560,95650,95570,95680,95260,78780,95490,95810,95130,78700,95560,95560,95650,95530,95590,95280,95810,95260,95600,95340,95340,95810,95120,78570,95590,95580,95580,95830,95650,95650,95570,95110,60230,95800,95330,78500,78600,78260,95830,95000,95230,78570,95450,95570,95810,95270,95210,95218,95270,95160,95640,95100,95350,95180,95570,78600,95340,95810,95450,95460,95270,60110,60540,60540,95870,95170,78510,60530,95640,95820,78740,95880,95270,95450,78955,95450,95640,78480,95410,95270,95350,95640,60530,93800,60110,78420,78360,95440,78740,78800,60540,95720,95450,60119,78300,95720,95450,60820,60540,95640,95360,78540,95640,95640,95200,95400,93430,60530,92230,60240,92700,78670,78670,95450,95270,92270,95270,93380,60119,95720,60110,92000,60530,60540,78110,95270,95450,78250,78230,92390,93450,92600,95850,60175,60530,92250,95450,78100,95640,78130,92400,60119,60530) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95430'

22. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.892142974903 AND ville_longitude_deg<2.441197025097 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.4803465190362 AND ville_longitude_deg<2.8529934809638 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 396503 AND W.type_id = 1) OR (W.util_id != 396503 AND W.type_id = 2)) AND (`post_util_id` = 396503 OR `dest_util_id` = 396503) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=396503 AND note_visu IN (1,3,4)

26. 0.0005

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 311956 AND W.type_id = 1) OR (W.util_id != 311956 AND W.type_id = 2)) AND (`post_util_id` = 311956 OR `dest_util_id` = 311956) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=311956 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='756' LIMIT 0,1

29. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 311956

30. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='756' LIMIT 0,1

31. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 396503

32. 0.0003

    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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

33. 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='cloueuse' OR ssrubr_slug like '%cloueuse%' OR MATCH (ssrubr_slug) AGAINST ('(+cloueuse)')) AND sk.ssrubr_id='756' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='756' AND actu_niveau=0 ORDER BY actu_ordre DESC

35. 0.0009

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

36. 0

    SELECT count(*) as nbwish FROM wish

37. 0.0472

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

37 requetes sql en 0.2919