Service soutien scolaire à 62690 Savy-berlette

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='cours-particuliers'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=37

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('62' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62690' AND ville_nom like '%savy%berlette%' 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 '%soutien%scolaire%' OR ssrubr_title like '%soutien%scolaire%' OR ssrubr_slug like '%soutien%scolaire%') AND cate_id='37' 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='62690'

12. 0.0033

    SELECT ville_cp, ROUND((((acos(sin((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.171035678816 AND ville_latitude_deg<50.530764321184 AND ville_longitude_deg>2.3086776742776 AND ville_longitude_deg<2.8724423257224 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='soutien scolaire; cours a domicile; cours à domici'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='37' AND ssrubr_id='1024' AND wish_visu IN (1,6,10) AND wish_cp like '62690%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=37

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='soutien scolaire; cours a domicile; cours à domici' OR ssrubr_slug='soutien-scolaire;-cours-a-domicile;-cours-à-domici' OR (ssrubr_title like '%soutien scolaire; cours a domicile; cours à domici%')) AND cate_id='37' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='soutien-scolaire' AND cate_id='37'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62690'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.171035678816 AND ville_latitude_deg<50.530764321184 AND ville_longitude_deg>2.3086776742776 AND ville_longitude_deg<2.8724423257224 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0157

    SELECT ville_cp, ROUND((((acos(sin((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.901239197041 AND ville_latitude_deg<50.800560802959 AND ville_longitude_deg>1.885848108908 AND ville_longitude_deg<3.295271891092 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0033

    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((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- 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='37' AND ssrubr_id='1024' AND wish_visu IN (1,6,10) AND wish_cp IN (62690,62690,62690,62690,62690,62690,62690,62690,62690,62144,62690,62690,62690,62690,62144,62690,62690,62690,62144,62123,62150,62690,62123,62123,62810,62123,62530,62150,62150,62127,62810,62127,62127,62810,62144,62127,62161,62127,62150,62127,62530,62810,62144,62810,62161,62161,62161,62172,62123,62810,62123,62127,62153,62150,62810,62127,62127,62123,62150,62160,62127,62123,62620,62127,62620,62150,62123,62810,62810,62810,62000,62150,62530,62153,62223,62150,62127,62810,62580,62810,62223,62160,62114,62127,62620,62940,62127,62580,62158,62130,62460,62123,62810,62143,62460,62810,62270,62127,62810,62223,62123,62123,62223,62223,62460,62800,62810,62130,62173,62130,62700,62130,62620,62580,62160,62670,62123,62130,62158,62123,62217,62810,62000,62217,62217,62130,62290,62270,62810,62223,62130,62158,62130,62131,62580,62173,62270,62130,62550,62173,62470,62217,62196,62810,62158,62131,62131,62123,62470,62810,62980,62580,62540,62173,62113,62130,62750,62270,62300,62550,62980,62130,62158,62210,62223,62130,62113,62113,62550,62580,62158,62199,62270,62232,62580,62122,62232,62217,62130,62158,62111,62260,62810,62149,62122,80600,62760,62550,62260,62130,62111,62149,62270,62300,62130,62540,62660,62217,62175,62580,62130,62217,62223,62550,62550) 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 (183407,186897,343500,425113)

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 = 183407 AND W.type_id = 1) OR (W.util_id <> 183407 AND W.type_id = 2)) AND (M.post_util_id = 183407 OR M.dest_util_id = 183407) 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=183407 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 = 186897 AND W.type_id = 1) OR (W.util_id <> 186897 AND W.type_id = 2)) AND (M.post_util_id = 186897 OR M.dest_util_id = 186897) 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=186897 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 = 343500 AND W.type_id = 1) OR (W.util_id <> 343500 AND W.type_id = 2)) AND (M.post_util_id = 343500 OR M.dest_util_id = 343500) 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=343500 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 = 425113 AND W.type_id = 1) OR (W.util_id <> 425113 AND W.type_id = 2)) AND (M.post_util_id = 425113 OR M.dest_util_id = 425113) 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=425113 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62690'

32. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.171035678816 AND ville_latitude_deg<50.530764321184 AND ville_longitude_deg>2.3086776742776 AND ville_longitude_deg<2.8724423257224 HAVING distance <= 20 ORDER BY distance ASC

33. 0.0144

    SELECT ville_cp, ROUND((((acos(sin((50.3509*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3509*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.59056- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.901239197041 AND ville_latitude_deg<50.800560802959 AND ville_longitude_deg>1.885848108908 AND ville_longitude_deg<3.295271891092 HAVING distance <= 50 ORDER BY distance ASC

34. 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 (1024)

35. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (343500,183407,186897,425113)

36. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (343500,183407,186897,425113)

37. 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='soutien scolaire; cours a domicile; cours à domici' OR ssrubr_slug like '%soutien scolaire; cours a domicile; cours à domici%' OR MATCH (ssrubr_slug) AGAINST ('(+soutien +scolaire; +cours +a +domicile; +cours +à +domici)')) AND sk.ssrubr_id='1024' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 37 AND ss.ssrubr_id <> 1024 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1024' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

42. 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 (37) ORDER BY ssrubr_order ASC

43. 0.0009

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

44. 0.0251

    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'

45. 0.0188

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

45 requetes sql en 0.0908