Location shampouineuse à 34830 Clapiers

1. 0.0001

   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-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

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='34830' AND ville_nom like '%clapiers%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%shampouineuse%' OR ssrubr_title like '%shampouineuse%' OR ssrubr_slug like '%shampouineuse%') AND cate_id='110' 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. 0.0002

    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='34830'

12. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.909535678816 AND ville_latitude_deg<41.269264321184 AND ville_longitude_deg>28.899653062209 AND ville_longitude_deg<29.376946937791 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='shampouineuse; bissell; spot clean; nettoyeur tapi'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='747' AND wish_visu IN (1,6,10) AND wish_cp like '34830%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug='shampouineuse;-bissell;-spot-clean;-nettoyeur-tapi' OR (ssrubr_title like '%shampouineuse; bissell; spot clean; nettoyeur tapi%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='shampouineuse' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34830'

19. 0.0008

    SELECT ville_cp, ROUND((((acos(sin((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.909535678816 AND ville_latitude_deg<41.269264321184 AND ville_longitude_deg>28.899653062209 AND ville_longitude_deg<29.376946937791 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.639739197041 AND ville_latitude_deg<41.539060802959 AND ville_longitude_deg>28.5416775108 AND ville_longitude_deg<29.7349224892 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0076

    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((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- 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='110' AND ssrubr_id='747' AND wish_visu IN (1,6,10) AND wish_cp IN (34830,34830,34360,34800,34805,34400,34406,34810,34782,34684,34470,34382,34820,34829,34825,34464,34467,34460,34342,34680,34776,34774,34775,34779,34773,34771,34345,34337,34788,34457,34676,34335,34340,34260,34265,34330,34398,34347,34674,34785,34662,34768,34707,34766,34764,34704,34762,34760,34700,34453,34186,34380,34690,34696,34692,34699,34450,34450,34394,34870,34349,34794,34799,34873,34387,34182,34791,34396,34664,34660,34750,34752,34755,34758,34353,34357,34365,34381,34367,34403,34682,34668,34410,34418,34421,34425,34413,34427,34415,34746,34738,34734,34736,34732,34437,34730,34435,34430,34433,34371,34375,34373,34377,34379,34742,34718,34714,34710,34716,34726,34728,34722,34720,34724,34740,34384,34744,34112,34840,34440,34116,34852,34858,34854,34473,34110,34445,34065,34060,34122,34120,34925,34912,34920,34916,34126,34087,34083,34080,34890,34899,34130,34134,34844,34843,34848,34841,34045,34040,34020,34025,34035,34040,34091,34096,34050,34055,34015,34010,34093,34104,34173,34098,34888,34887,34885,34882,34880,34183,34846) 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 (406202,462652,465648,494260,491326)

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 = 406202 AND W.type_id = 1) OR (W.util_id <> 406202 AND W.type_id = 2)) AND (M.post_util_id = 406202 OR M.dest_util_id = 406202) 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=406202 AND note_visu IN (1,3,4)

25. 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 = 462652 AND W.type_id = 1) OR (W.util_id <> 462652 AND W.type_id = 2)) AND (M.post_util_id = 462652 OR M.dest_util_id = 462652) 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=462652 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 = 465648 AND W.type_id = 1) OR (W.util_id <> 465648 AND W.type_id = 2)) AND (M.post_util_id = 465648 OR M.dest_util_id = 465648) 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=465648 AND note_visu IN (1,3,4)

29. 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 = 494260 AND W.type_id = 1) OR (W.util_id <> 494260 AND W.type_id = 2)) AND (M.post_util_id = 494260 OR M.dest_util_id = 494260) 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=494260 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 = 491326 AND W.type_id = 1) OR (W.util_id <> 491326 AND W.type_id = 2)) AND (M.post_util_id = 491326 OR M.dest_util_id = 491326) 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=491326 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34830'

34. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.909535678816 AND ville_latitude_deg<41.269264321184 AND ville_longitude_deg>28.899653062209 AND ville_longitude_deg<29.376946937791 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((41.0894*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0894*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((29.1383- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.639739197041 AND ville_latitude_deg<41.539060802959 AND ville_longitude_deg>28.5416775108 AND ville_longitude_deg<29.7349224892 HAVING distance <= 50 ORDER BY distance ASC

36. 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 (747)

37. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (406202,491326,494260,462652,465648)

38. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (406202,491326,494260,462652,465648)

39. 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='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug like '%shampouineuse; bissell; spot clean; nettoyeur tapi%' OR MATCH (ssrubr_slug) AGAINST ('(+shampouineuse; +bissell; +spot +clean; +nettoyeur +tapi)')) AND sk.ssrubr_id='747' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 = 110 AND ss.ssrubr_id <> 747 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='747' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0001

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

43. 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

44. 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 (110) ORDER BY ssrubr_order ASC

45. 0.0011

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

46. 0.0206

    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'

47. 0.0164

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

47 requetes sql en 0.0562