Service débroussaillage à 34270 Saint-mathieu-de-tréviers

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='jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('34' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='34270' AND ville_nom like '%saint%mathieu%de%treviers%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%debroussaillage%' OR ssrubr_title like '%debroussaillage%' OR ssrubr_slug like '%debroussaillage%') AND cate_id='38' 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. 0.0003

    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='34270'

12. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.926635678816 AND ville_latitude_deg<41.286364321184 AND ville_longitude_deg>28.629790925526 AND ville_longitude_deg<29.107209074474 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='débroussaillage; debroussailler; desherbage'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='529' AND wish_visu IN (1,6,10) AND wish_cp like '34270%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='débroussaillage; debroussailler; desherbage' OR ssrubr_slug='débroussaillage;-debroussailler;-desherbage' OR (ssrubr_title like '%débroussaillage; debroussailler; desherbage%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='debroussaillage' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34270'

19. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.926635678816 AND ville_latitude_deg<41.286364321184 AND ville_longitude_deg>28.629790925526 AND ville_longitude_deg<29.107209074474 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.656839197041 AND ville_latitude_deg<41.556160802959 AND ville_longitude_deg>28.271722167753 AND ville_longitude_deg<29.465277832247 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0041

    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((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- 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='38' AND ssrubr_id='529' AND wish_visu IN (1,6,10) AND wish_cp IN (34270,34270,34255,34250,34240,34245,34480,34218,34230,34235,34050,34220,34225,34060,34065,34075,34040,34020,34045,34035,34040,34025,34055,34209,34204,34203,34200,34070,34076,34210,34214,34490,34077,34212,34421,34418,34425,34427,34415,34413,34410,34445,34160,34164,34384,34165,34403,34307,34303,34080,34087,34083,34192,34091,34371,34377,34379,34375,34373,34396,34093,34010,34015,34381,34196,34194,34104,34357,34353,34180,34688,34893,34440,34387,34494,34494,34295,34197,34394,34870,34098,34188,34365,34349,34367,34285,34437,34398,34682,34173,34330,34096,34430,34435,34473,34433,34110,34126,34335,34116,34107,34275,34158,34287,34130,34134,34112,34120,34337,34340,34290,34453,34122,34347,34342,34457,34345,34460,34153,34467,34382,34470,34488,34281,34674,34464,34146,34147,34142,34140,34145,34149,34283,34283,34676,34668,34450,34450,34684,34680,34810,34320,34325,34664,34182,34662,34805,34513,34510,34517,34515,34315,34310,34710,34714,34716,34718,34660,34820,34825,34829,34800) 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 (85334,149789,226383,230943,472999,101076)

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 = 85334 AND W.type_id = 1) OR (W.util_id <> 85334 AND W.type_id = 2)) AND (M.post_util_id = 85334 OR M.dest_util_id = 85334) 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=85334 AND note_visu IN (1,3,4)

25. 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 = 149789 AND W.type_id = 1) OR (W.util_id <> 149789 AND W.type_id = 2)) AND (M.post_util_id = 149789 OR M.dest_util_id = 149789) 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=149789 AND note_visu IN (1,3,4)

27. 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 = 226383 AND W.type_id = 1) OR (W.util_id <> 226383 AND W.type_id = 2)) AND (M.post_util_id = 226383 OR M.dest_util_id = 226383) 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=226383 AND note_visu IN (1,3,4)

29. 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 = 230943 AND W.type_id = 1) OR (W.util_id <> 230943 AND W.type_id = 2)) AND (M.post_util_id = 230943 OR M.dest_util_id = 230943) 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=230943 AND note_visu IN (1,3,4)

31. 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 = 472999 AND W.type_id = 1) OR (W.util_id <> 472999 AND W.type_id = 2)) AND (M.post_util_id = 472999 OR M.dest_util_id = 472999) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=472999 AND note_visu IN (1,3,4)

33. 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 = 101076 AND W.type_id = 1) OR (W.util_id <> 101076 AND W.type_id = 2)) AND (M.post_util_id = 101076 OR M.dest_util_id = 101076) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=101076 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34270'

36. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.926635678816 AND ville_latitude_deg<41.286364321184 AND ville_longitude_deg>28.629790925526 AND ville_longitude_deg<29.107209074474 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((41.1065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.1065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.8685- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.656839197041 AND ville_latitude_deg<41.556160802959 AND ville_longitude_deg>28.271722167753 AND ville_longitude_deg<29.465277832247 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (529)

39. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (230943,472999,149789,101076,226383,85334)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (230943,472999,149789,101076,226383,85334)

41. 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='débroussaillage; debroussailler; desherbage' OR ssrubr_slug like '%débroussaillage; debroussailler; desherbage%' OR MATCH (ssrubr_slug) AGAINST ('(+débroussaillage; +debroussailler; +desherbage)')) AND sk.ssrubr_id='529' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 38 AND ss.ssrubr_id <> 529 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='529' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0

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

45. 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

46. 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 (38) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 0.0247

    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'

49. 0.0191

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

49 requetes sql en 0.0603