Service entretien jardin à 34340 Marseillan

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. 0.0001

   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='34340' AND ville_nom like '%marseillan%' 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 '%entretien%jardin%' OR ssrubr_title like '%entretien%jardin%' OR ssrubr_slug like '%entretien%jardin%') AND cate_id='38' 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. 0.0002

    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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='34340'

12. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.885135678816 AND ville_latitude_deg<41.244864321184 AND ville_longitude_deg>28.791041632309 AND ville_longitude_deg<29.268158367691 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='entretien jardin; entretiens de jardin; jardinier;'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='527' AND wish_visu IN (1,6,10) AND wish_cp like '34340%'

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='entretien jardin; entretiens de jardin; jardinier;' OR ssrubr_slug='entretien-jardin;-entretiens-de-jardin;-jardinier;' OR (ssrubr_title like '%entretien jardin; entretiens de jardin; jardinier;%')) 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='entretien-jardin' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34340'

19. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.885135678816 AND ville_latitude_deg<41.244864321184 AND ville_longitude_deg>28.791041632309 AND ville_longitude_deg<29.268158367691 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.615339197041 AND ville_latitude_deg<41.514660802959 AND ville_longitude_deg>28.433198937959 AND ville_longitude_deg<29.626001062041 HAVING distance <= 50 ORDER BY distance ASC

21. 0.005

    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((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- 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='527' AND wish_visu IN (1,6,10) AND wish_cp IN (34340,34340,34345,34347,34342,34335,34394,34870,34349,34330,34337,34382,34387,34680,34676,34684,34353,34357,34365,34470,34674,34381,34367,34682,34403,34810,34437,34371,34375,34377,34373,34379,34430,34435,34398,34433,34460,34662,34427,34421,34415,34425,34418,34413,34410,34384,34182,34664,34396,34467,34805,34440,34668,34445,34112,34660,34116,34110,34464,34060,34065,34080,34083,34087,34800,34457,34122,34120,34126,34020,34025,34035,34040,34045,34040,34718,34710,34716,34714,34091,34134,34130,34050,34096,34055,34453,34830,34015,34093,34010,34104,34829,34825,34820,34173,34098,34873,34240,34245,34720,34726,34728,34724,34722,34450,34450,34758,34755,34752,34750,34255,34250,34766,34764,34762,34760,34707,34704,34700,34768,34740,34730,34771,34774,34775,34776,34779,34773,34107,34782,34736,34732,34734,34235,34230,34742,34473,34225,34220,34360,34746,34738,34165,34164,34160,34744,34899,34890,34075,34270,34840,34400,34406,34788,34204,34203,34200,34209,34076,34070,34893,34180,34688,34192,34852,34854,34858,34785,34265,34260,34218,34196,34194,34210,34214,34188,34841,34843,34844,34848,34212,34077,34158,34977,34197,34791,34799,34480,34794,34925,34920,34916,34912) 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 (61147,122404,152522,92324,182324,223028,87174,200665,282264,339623)

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 = 61147 AND W.type_id = 1) OR (W.util_id <> 61147 AND W.type_id = 2)) AND (M.post_util_id = 61147 OR M.dest_util_id = 61147) 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=61147 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 = 122404 AND W.type_id = 1) OR (W.util_id <> 122404 AND W.type_id = 2)) AND (M.post_util_id = 122404 OR M.dest_util_id = 122404) 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=122404 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 = 152522 AND W.type_id = 1) OR (W.util_id <> 152522 AND W.type_id = 2)) AND (M.post_util_id = 152522 OR M.dest_util_id = 152522) 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=152522 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 = 92324 AND W.type_id = 1) OR (W.util_id <> 92324 AND W.type_id = 2)) AND (M.post_util_id = 92324 OR M.dest_util_id = 92324) 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=92324 AND note_visu IN (1,3,4)

31. 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 = 182324 AND W.type_id = 1) OR (W.util_id <> 182324 AND W.type_id = 2)) AND (M.post_util_id = 182324 OR M.dest_util_id = 182324) 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=182324 AND note_visu IN (1,3,4)

33. 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 = 223028 AND W.type_id = 1) OR (W.util_id <> 223028 AND W.type_id = 2)) AND (M.post_util_id = 223028 OR M.dest_util_id = 223028) 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=223028 AND note_visu IN (1,3,4)

35. 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 = 87174 AND W.type_id = 1) OR (W.util_id <> 87174 AND W.type_id = 2)) AND (M.post_util_id = 87174 OR M.dest_util_id = 87174) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=87174 AND note_visu IN (1,3,4)

37. 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 = 200665 AND W.type_id = 1) OR (W.util_id <> 200665 AND W.type_id = 2)) AND (M.post_util_id = 200665 OR M.dest_util_id = 200665) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=200665 AND note_visu IN (1,3,4)

39. 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 = 282264 AND W.type_id = 1) OR (W.util_id <> 282264 AND W.type_id = 2)) AND (M.post_util_id = 282264 OR M.dest_util_id = 282264) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=282264 AND note_visu IN (1,3,4)

41. 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 = 339623 AND W.type_id = 1) OR (W.util_id <> 339623 AND W.type_id = 2)) AND (M.post_util_id = 339623 OR M.dest_util_id = 339623) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=339623 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34340'

44. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.885135678816 AND ville_latitude_deg<41.244864321184 AND ville_longitude_deg>28.791041632309 AND ville_longitude_deg<29.268158367691 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((41.065*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.065*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.0296- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.615339197041 AND ville_latitude_deg<41.514660802959 AND ville_longitude_deg>28.433198937959 AND ville_longitude_deg<29.626001062041 HAVING distance <= 50 ORDER BY distance ASC

46. 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 (527)

47. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (122404,182324,200665,87174,92324,223028,339623,282264,61147,152522)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (122404,182324,200665,87174,92324,223028,339623,282264,61147,152522)

49. 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='entretien jardin; entretiens de jardin; jardinier;' OR ssrubr_slug like '%entretien jardin; entretiens de jardin; jardinier;%' OR MATCH (ssrubr_slug) AGAINST ('(+entretien +jardin; +entretiens +de +jardin; +jardinier;)')) AND sk.ssrubr_id='527' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 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 <> 527 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='527' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0.0001

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

53. 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

54. 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 (38) ORDER BY ssrubr_order ASC

55. 0.0011

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

56. 0.0255

    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'

57. 0.0204

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

57 requetes sql en 0.0655