Location pulverisateur agricole à 67000 Strasbourg

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='5' AND cate_title_slug='materiel-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('67' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='67000' AND ville_nom like '%strasbourg%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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. 0.0025

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%pulverisateur%agricole%' OR ssrubr_title like '%pulverisateur%agricole%' OR ssrubr_slug like '%pulverisateur%agricole%') AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='pulverisateur%agricole' OR cate_title_aff='pulverisateur%agricole' LIMIT 0,1

9. 0.0001

   SHOW TABLES LIKE 'pays'

10. 0.0002

    SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

11. 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

12. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='67000'

13. 0.0006

    SELECT ville_cp, ROUND((((acos(sin((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>41.362635678816 AND ville_latitude_deg<41.722364321184 AND ville_longitude_deg>31.74798835502 AND ville_longitude_deg<32.22861164498 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='pulverisateur agricole'

15. 0.0015

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88' AND wish_visu IN (1,6,10) AND wish_cp like '67000%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=88

17. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='pulverisateur agricole' OR ssrubr_slug='pulverisateur-agricole' OR (ssrubr_title like '%pulverisateur agricole%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='pulverisateur-agricole' AND cate_id='88'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='67000'

20. 0.0006

    SELECT ville_cp, ROUND((((acos(sin((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>41.362635678816 AND ville_latitude_deg<41.722364321184 AND ville_longitude_deg>31.74798835502 AND ville_longitude_deg<32.22861164498 HAVING distance <= 20 ORDER BY distance ASC

21. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>41.092839197041 AND ville_latitude_deg<41.992160802959 AND ville_longitude_deg>31.387515706941 AND ville_longitude_deg<32.589084293059 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0405

    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((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- 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='5' AND cate_id='88' AND wish_visu IN (1,6,10) AND wish_cp IN (67000,67000,67155,67100,67660,67000,67170,67660,67660,67660,67900,67970,67660,67970,67660,67150,67900,67970,67900,67900,67970,67970,67970,81950,67970,67900,67510,67900,74110,67900,67900,67970,67900,67000,67900,67500,74110,67900,67970,67970,67970,67970,67970,67970,67970,67600,67900,67000,67900,67900,67040,74110,67900,74110,74110,74110,67900,67980,67970,74110,67670,67900,67900,67900,67970,67900,67000,67970,67960,67960,67850,67980,67960,67980,67980,74110,67900,67900,67000,67900,67900,74110,67960,67970,67900,67660,67960) AND type_id=1 GROUP BY wish_id

23. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (10366,236875,49145,75290,437608,458453,169256)

24. 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 = 10366 AND W.type_id = 1) OR (W.util_id <> 10366 AND W.type_id = 2)) AND (M.post_util_id = 10366 OR M.dest_util_id = 10366) 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=10366 AND note_visu IN (1,3,4)

26. 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 = 236875 AND W.type_id = 1) OR (W.util_id <> 236875 AND W.type_id = 2)) AND (M.post_util_id = 236875 OR M.dest_util_id = 236875) 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=236875 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 = 49145 AND W.type_id = 1) OR (W.util_id <> 49145 AND W.type_id = 2)) AND (M.post_util_id = 49145 OR M.dest_util_id = 49145) 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=49145 AND note_visu IN (1,3,4)

30. 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 = 75290 AND W.type_id = 1) OR (W.util_id <> 75290 AND W.type_id = 2)) AND (M.post_util_id = 75290 OR M.dest_util_id = 75290) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=75290 AND note_visu IN (1,3,4)

32. 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 = 437608 AND W.type_id = 1) OR (W.util_id <> 437608 AND W.type_id = 2)) AND (M.post_util_id = 437608 OR M.dest_util_id = 437608) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=437608 AND note_visu IN (1,3,4)

34. 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 = 458453 AND W.type_id = 1) OR (W.util_id <> 458453 AND W.type_id = 2)) AND (M.post_util_id = 458453 OR M.dest_util_id = 458453) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=458453 AND note_visu IN (1,3,4)

36. 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 = 169256 AND W.type_id = 1) OR (W.util_id <> 169256 AND W.type_id = 2)) AND (M.post_util_id = 169256 OR M.dest_util_id = 169256) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=169256 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='67000'

39. 0.0005

    SELECT ville_cp, ROUND((((acos(sin((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>41.362635678816 AND ville_latitude_deg<41.722364321184 AND ville_longitude_deg>31.74798835502 AND ville_longitude_deg<32.22861164498 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((41.5425*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.5425*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((31.9883- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>41.092839197041 AND ville_latitude_deg<41.992160802959 AND ville_longitude_deg>31.387515706941 AND ville_longitude_deg<32.589084293059 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (4,3,1012,8,14,5,19,24)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (169256,49145,437608,458453,236875,75290,10366)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (169256,49145,437608,458453,236875,75290,10366)

44. 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='pulverisateur agricole' OR ssrubr_slug like '%pulverisateur agricole%' OR MATCH (ssrubr_slug) AGAINST ('(+pulverisateur +agricole)')) AND sk.ssrubr_id='' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

45. 0.0001

    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_slug = 'pulverisateur-agricole' AND ss.cate_id = 88 LIMIT 1

46. 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 = 5 AND ss.cate_id = 88 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    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_slug = 'pulverisateur-agricole' AND ss.cate_id = 88 LIMIT 1

48. 0.0001

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

49. 0

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

50. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

51. 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 (88) ORDER BY ssrubr_order ASC

52. 0.0009

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

53. 0.0243

    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'

54. 0.0167

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

54 requetes sql en 0.098