Indiquer un code postal ou une ville

Flèche vers le champ lieu

Service cours informatique à 63000 Clermont-ferrand


Retour
Fermer

Service › Cours particuliers

Lancez votre recherche pour voir les annonces.

Service cours informatique
Service cours informatique
Cours Informatique
Profil du voisin
Voisin #125227

0 km · Clermont-Ferrand 63000

5€/h

Service soutien scolaire
Service soutien scolaire
Cours Particuliers
Profil du voisin
Voisin #125227

0 km · Clermont-Ferrand 63000

5€/h

Demander un service / jobbing : cours informatique ou proposer un service : cours informatique entre particuliers.
Poster une annonce



Publier une annonce « Service Cours informatique entre particuliers »

Trouver

Trouver
Demandes des voisins

Demandes

 créer une annonce
Messagerie

Messages

 Mon profil

Profil

Assistance support Kiwiiz

Comment pouvons-nous vous aider ?

Script : /wall.php

  1. 0.0001

    SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='cours-particuliers'

  2. 0.0001

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

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='63'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='63000' AND ville_nom like '%clermont%ferrand%' 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 '%cours%informatique%' OR ssrubr_title like '%cours%informatique%' OR ssrubr_slug like '%cours%informatique%') AND cate_id='37' 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='63000'

  7. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>2.8254130019947 AND ville_longitude_deg<3.3412469980053 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='informatique; cours informatique'

  9. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='37'AND MATCH (wish_title,wish_desc) AGAINST ('+informatique; cours informatique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '63000%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=37

  11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='informatique; cours informatique' OR ssrubr_slug='informatique;-cours-informatique' OR (ssrubr_title like '%informatique; cours informatique%')) AND cate_id='37' 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. 0.0002

    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

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cours-informatique' AND cate_id='37'

  16. 0

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='63000'

  17. 0.001

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>2.8254130019947 AND ville_longitude_deg<3.3412469980053 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0033

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.333639197041 AND ville_latitude_deg<46.232960802959 AND ville_longitude_deg>2.4385319448425 AND ville_longitude_deg<3.7281280551575 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0242

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='37' AND MATCH (wish_desc) AGAINST ('(+informatique; +cours +informatique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (63000,63100,63000,63400,63830,63130,63110,63830,63170,63870,63112,63540,63530,63118,63122,63510,63119,63530,63170,63360,63200,63122,63530,63510,63670,63200,63370,63670,63360,63800,63200,63200,63450,63450,63111,63670,63115,63960,63360,63430,63450,63530,63200,63800,63450,63730,63800,63210,63720,63800,63730,63450,63140,63430,63450,63970,63410,63730,63800,63117,63210,63720,63230,63210,63720,63200,63720,63200,63230,63450,63910,63230,63210,63270,63116,63160,63270,63200,63410,63230,63720,63910,63230,63910,63720,63730,63200,63200,63460,63320,63450,63200,63200,63730,63210,63730,63270,63190,63720,63160)

  20. 0.0302

    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((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- 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 MATCH (wish_desc) AGAINST ('(+informatique; +cours +informatique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (63000,63100,63000,63400,63830,63130,63110,63830,63170,63870,63112,63540,63530,63118,63122,63510,63119,63530,63170,63360,63200,63122,63530,63510,63670,63200,63370,63670,63360,63800,63200,63200,63450,63450,63111,63670,63115,63960,63360,63430,63450,63530,63200,63800,63450,63730,63800,63210,63720,63800,63730,63450,63140,63430,63450,63970,63410,63730,63800,63117,63210,63720,63230,63210,63720,63200,63720,63200,63230,63450,63910,63230,63210,63270,63116,63160,63270,63200,63410,63230,63720,63910,63230,63910,63720,63730,63200,63200,63460,63320,63450,63200,63200,63730,63210,63730,63270,63190,63720,63160) 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='63000'

  22. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>2.8254130019947 AND ville_longitude_deg<3.3412469980053 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0035

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.333639197041 AND ville_latitude_deg<46.232960802959 AND ville_longitude_deg>2.4385319448425 AND ville_longitude_deg<3.7281280551575 HAVING distance <= 50 ORDER BY distance ASC

  24. 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 = 125227 AND W.type_id = 1) OR (W.util_id != 125227 AND W.type_id = 2)) AND (`post_util_id` = 125227 OR `dest_util_id` = 125227) 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=125227 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 = 125227 AND W.type_id = 1) OR (W.util_id != 125227 AND W.type_id = 2)) AND (`post_util_id` = 125227 OR `dest_util_id` = 125227) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 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='1050' LIMIT 0,1

  28. 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 = 125227 AND W.type_id = 1) OR (W.util_id != 125227 AND W.type_id = 2)) AND (`post_util_id` = 125227 OR `dest_util_id` = 125227) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  29. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 125227

  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='1024' LIMIT 0,1

  31. 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 = 125227 AND W.type_id = 1) OR (W.util_id != 125227 AND W.type_id = 2)) AND (`post_util_id` = 125227 OR `dest_util_id` = 125227) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  32. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 125227

  33. 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=37 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

  34. 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='informatique; cours informatique' OR ssrubr_slug like '%informatique; cours informatique%' OR MATCH (ssrubr_slug) AGAINST ('(+informatique; +cours +informatique)')) AND sk.ssrubr_id='1050' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1050' AND actu_niveau=0 ORDER BY actu_ordre DESC

  36. 0.0011

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

  37. 0

    SELECT count(*) as nbwish FROM wish

  38. 0.0499

    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

38 requetes sql en 0.1194

Taille variable Globale : 53.29 KB