Service nettoyer piscine à 95560 Baillet-en-france

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='menage-repassage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95560' AND ville_nom like '%baillet%en%france%' 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 '%nettoyage%piscine%' OR ssrubr_title like '%nettoyage%piscine%' OR ssrubr_slug like '%nettoyage%piscine%') AND cate_id='47' 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='95560'

12. 0.0027

    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(((2.31667- 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>2.042142974903 AND ville_longitude_deg<2.591197025097 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage piscine'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+nettoyage piscine*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95560%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='nettoyage piscine' OR ssrubr_slug='nettoyage-piscine' OR (ssrubr_title like '%nettoyage piscine%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyage-piscine' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95560'

19. 0.003

    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(((2.31667- 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>2.042142974903 AND ville_longitude_deg<2.591197025097 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0181

    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(((2.31667- 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>1.6303465190362 AND ville_longitude_deg<3.0029934809638 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0641

    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((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- 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='47' AND MATCH (wish_desc) AGAINST ('(+nettoyage +piscine*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95560,95560,95560,95560,95570,95570,95590,95570,95330,95570,95560,95270,95270,95840,95460,95590,95840,95720,95680,95350,95720,95390,95320,95440,95270,95590,95270,95740,95160,95580,95580,95270,95260,95600,95550,95150,95720,95270,95290,95260,95270,95350,95850,95540,95430,95630,95660,95400,95200,95620,95270,95760,95170,95230,95130,95410,95190,95850,95190,95340,95120,95270,95720,95250,95270,95270,95430,95130,95880,95820,95340,95210,95218,60820,95360,95270,93380,95400,60230,95380,95110,93430,95690,95480,95190,60260,95240,95470,93800,60530,95500,95220,95340,95140,95500,95370,95670,95100,93240,95300,95380,95500,95690,95500,95690,60580,95310,95530,60530,60270,92230,93450,92390,93440,93210,93200,95690,60530,60460,95300,95380,95300,95300,78500,95810,60560,95700,60540,60540,95870,93350,60530,95610,60530,92270,95380,92700,93120,93300,95470,95380,60520,92600,60460,93150,93700,60540,60340,78600,60340,95520,95470,95810,95650,95470,78700,60500,60530,93400,92110,95000,92300,60540,78800,95810,95000,60500,60530,92250,60740,78420,93420,60520,92400,93500,93600,78780,60128,77990,60540,60110) AND type_id=1 GROUP BY wish_id

22. 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 = 21593 AND W.type_id = 1) OR (W.util_id <> 21593 AND W.type_id = 2)) AND (M.post_util_id = 21593 OR M.dest_util_id = 21593) 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=21593 AND note_visu IN (1,3,4)

24. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95560'

25. 0.0031

    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(((2.31667- 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>2.042142974903 AND ville_longitude_deg<2.591197025097 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0173

    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(((2.31667- 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>1.6303465190362 AND ville_longitude_deg<3.0029934809638 HAVING distance <= 50 ORDER BY distance ASC

27. 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 (1212)

28. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (21593)

29. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (21593)

30. 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=47 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

31. 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='nettoyage piscine' OR ssrubr_slug like '%nettoyage piscine%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyage +piscine)')) AND sk.ssrubr_id='1212' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

32. 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 = 47 AND ss.ssrubr_id <> 1212 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1212' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

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

35. 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

36. 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 (47) ORDER BY ssrubr_order ASC

37. 0.0014

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

38. 0.0318

    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'

39. 0.0229

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

39 requetes sql en 0.1687