Service cap petite enfance à 62920 Chocques

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='babysitting'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62920' AND ville_nom like '%chocques%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%cap%petite%enfance%' OR ssrubr_title like '%cap%petite%enfance%' OR ssrubr_slug like '%cap%petite%enfance%') AND cate_id='39' 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='62920'

7. 0.002

   SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.2836992214287 AND ville_longitude_deg<2.8496407785713 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cap petite enfance'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+cap petite enfance*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62920%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=39

11. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='cap petite enfance' OR ssrubr_slug='cap-petite-enfance' OR (ssrubr_title like '%cap petite enfance%')) AND cate_id='39' 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. 0.0002

    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

14. 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 (39) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cap-petite-enfance' AND cate_id='39'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62920'

17. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.2836992214287 AND ville_longitude_deg<2.8496407785713 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0072

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.083639197041 AND ville_latitude_deg<50.982960802959 AND ville_longitude_deg>1.8592369533211 AND ville_longitude_deg<3.2741030466789 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0485

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='39' AND MATCH (wish_desc) AGAINST ('(+cap +petite +enfance*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62920,62920,62122,62199,62122,62232,62920,62232,62232,62920,62232,62196,62157,62400,62540,62540,62232,62350,62700,62131,62131,62131,62350,62620,62190,62151,62400,62350,62620,62940,62260,62400,62113,62470,62660,62460,62190,62290,62470,62260,62190,62350,62620,62350,62150,62620,62150,62350,62190,62113,62113,62550,62150,62190,62190,62260,62136,62530,62460,62330,62120,62190,62149,62350,62260,62149,62550,62136,62980,62550,62670,59660,62150,62149,62136,62330,62114,62550,62120,62150,62150,62550,62980,62550,62149,62150,62136,62149,62460,62120,62550,62550,62550,62150,62530,62190,62550,59253,62120,59189,62172,59940,62150,62120,62120,62160,62690,62127,62138,62550,59940,62160,62960,62960,62138,62127,62530,62840,62120,62120,59189,62160,62130,62120,62840,62550,59480,62138,62690,62690,62120,59189,62145,62550,62690,62127,62960,62750,62840,62550,62134,62143,62145,62690,62410,62690,59496,59190,62120,62550,62120,62130,62130,62138,62690,59232,62144,62840,62800,59480,62127,62410,62130,59940,62127,62153,62144,62120)

20. 0.0416

    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((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- 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='39' AND MATCH (wish_desc) AGAINST ('(+cap +petite +enfance*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62920,62920,62122,62199,62122,62232,62920,62232,62232,62920,62232,62196,62157,62400,62540,62540,62232,62350,62700,62131,62131,62131,62350,62620,62190,62151,62400,62350,62620,62940,62260,62400,62113,62470,62660,62460,62190,62290,62470,62260,62190,62350,62620,62350,62150,62620,62150,62350,62190,62113,62113,62550,62150,62190,62190,62260,62136,62530,62460,62330,62120,62190,62149,62350,62260,62149,62550,62136,62980,62550,62670,59660,62150,62149,62136,62330,62114,62550,62120,62150,62150,62550,62980,62550,62149,62150,62136,62149,62460,62120,62550,62550,62550,62150,62530,62190,62550,59253,62120,59189,62172,59940,62150,62120,62120,62160,62690,62127,62138,62550,59940,62160,62960,62960,62138,62127,62530,62840,62120,62120,59189,62160,62130,62120,62840,62550,59480,62138,62690,62690,62120,59189,62145,62550,62690,62127,62960,62750,62840,62550,62134,62143,62145,62690,62410,62690,59496,59190,62120,62550,62120,62130,62130,62138,62690,59232,62144,62840,62800,59480,62127,62410,62130,59940,62127,62153,62144,62120) 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='62920'

22. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.2836992214287 AND ville_longitude_deg<2.8496407785713 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.083639197041 AND ville_latitude_deg<50.982960802959 AND ville_longitude_deg>1.8592369533211 AND ville_longitude_deg<3.2741030466789 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 = 156581 AND W.type_id = 1) OR (W.util_id != 156581 AND W.type_id = 2)) AND (`post_util_id` = 156581 OR `dest_util_id` = 156581) 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=156581 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 168941 AND W.type_id = 1) OR (W.util_id != 168941 AND W.type_id = 2)) AND (`post_util_id` = 168941 OR `dest_util_id` = 168941) 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=168941 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='940' LIMIT 0,1

29. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 156581 AND W.type_id = 1) OR (W.util_id != 156581 AND W.type_id = 2)) AND (`post_util_id` = 156581 OR `dest_util_id` = 156581) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 156581

31. 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='942' LIMIT 0,1

32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 168941 AND W.type_id = 1) OR (W.util_id != 168941 AND W.type_id = 2)) AND (`post_util_id` = 168941 OR `dest_util_id` = 168941) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 168941

34. 0.0001

    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=39 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

35. 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='cap petite enfance' OR ssrubr_slug like '%cap petite enfance%' OR MATCH (ssrubr_slug) AGAINST ('(+cap +petite +enfance)')) AND sk.ssrubr_id='940' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='940' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0009

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

38. 0

    SELECT count(*) as nbwish FROM wish

39. 0.0516

    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

39 requetes sql en 0.1641