Service dépannage informatique à 59215 Abscon

1. 0.0002

   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='depanneur-reparateur'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=231

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59215' AND ville_nom like '%abscon%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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. 0.001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%depannage%informatique%' OR ssrubr_title like '%depannage%informatique%' OR ssrubr_slug like '%depannage%informatique%') AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0044

    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='59215'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.01822210679 AND ville_longitude_deg<3.58177789321 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231'AND MATCH (wish_title,wish_desc) AGAINST ('+informatique; depannage informatique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59215%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=231

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='informatique; depannage informatique' OR ssrubr_slug='informatique;-depannage-informatique' OR (ssrubr_title like '%informatique; depannage informatique%')) AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='depannage-informatique' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59215'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.01822210679 AND ville_longitude_deg<3.58177789321 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0168

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.883639197041 AND ville_latitude_deg<50.782960802959 AND ville_longitude_deg>2.5955491924404 AND ville_longitude_deg<4.0044508075596 HAVING distance <= 50 ORDER BY distance ASC

21. 0.042

    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((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- 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='231' AND MATCH (wish_desc) AGAINST ('(+informatique; +depannage +informatique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59215,59215,59580,59124,59172,59179,59490,59171,59580,59156,59172,59171,59165,59490,59293,59111,59220,59171,59252,59870,59176,59252,59234,59282,59176,59255,59111,59111,59870,59252,59135,59146,59282,59111,59220,59870,59870,59182,59234,59234,59295,59295,59220,59247,59870,59195,59287,59121,59169,59182,59135,59247,59169,59121,59195,59287,59167,59296,59178,59141,59141,59870,59151,59224,59178,59178,59870,59247,59265,59554,59494,59198,59265,59141,59194,59224,59174,59125,59187,59400,59230,59178,59265,59148,59230,59450,59169,59494,59233,59554,59151,59310,59119,59590,59268,59169,59230,59410,59265,59188,59310,59161,59227,59161,59194,62860,59192,59161,59277,59151,59188,59227,59227,59300,59310,59129,62860,59213,62860,59265,59554,59300,59269,59151,59226,59169,59552,59300,59161,59310,59310,59690,59310,59500,59151,59226,59213,62860,59554,59860,59554,62112,59552,59770,62112,59286,59188,62860,59880,59310,59269,62490,59158,59554,59294,59292,59400,59553,59553,59217,59310,59283,59310,59213,62860,62860,59213,59990,62490,59400,59128,59230,7624,59269,62490,59235,59267,62790) 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 = 60755 AND W.type_id = 1) OR (W.util_id <> 60755 AND W.type_id = 2)) AND (M.post_util_id = 60755 OR M.dest_util_id = 60755) 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=60755 AND note_visu IN (1,3,4)

24. 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 = 68025 AND W.type_id = 1) OR (W.util_id <> 68025 AND W.type_id = 2)) AND (M.post_util_id = 68025 OR M.dest_util_id = 68025) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=68025 AND note_visu IN (1,3,4)

26. 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 = 248221 AND W.type_id = 1) OR (W.util_id <> 248221 AND W.type_id = 2)) AND (M.post_util_id = 248221 OR M.dest_util_id = 248221) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=248221 AND note_visu IN (1,3,4)

28. 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 = 516922 AND W.type_id = 1) OR (W.util_id <> 516922 AND W.type_id = 2)) AND (M.post_util_id = 516922 OR M.dest_util_id = 516922) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=516922 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59215'

31. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.01822210679 AND ville_longitude_deg<3.58177789321 HAVING distance <= 20 ORDER BY distance ASC

32. 0.019

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.883639197041 AND ville_latitude_deg<50.782960802959 AND ville_longitude_deg>2.5955491924404 AND ville_longitude_deg<4.0044508075596 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (975)

34. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (516922,68025,248221,60755)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (516922,68025,248221,60755)

36. 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=231 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

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='informatique; depannage informatique' OR ssrubr_slug like '%informatique; depannage informatique%' OR MATCH (ssrubr_slug) AGAINST ('(+informatique; +depannage +informatique)')) AND sk.ssrubr_id='975' 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 = 231 AND ss.ssrubr_id <> 975 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='975' 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 (231) ORDER BY ssrubr_order ASC

43. 0.0013

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

44. 0.033

    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. 0.0275

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

45 requetes sql en 0.1593