Location transat bébé à 95220 Herblay

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='equipement-pour-bebe'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95220' AND ville_nom like '%herblay%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%transat%bebe%' OR ssrubr_title like '%transat%bebe%' OR ssrubr_slug like '%transat%bebe%') AND cate_id='228' 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. 0.0004

    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='95220'

12. 0.0033

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.892510802952 AND ville_longitude_deg<2.440829197048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='transat; transat bebe'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+transat; transat bebe*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95220%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=228

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='transat; transat bebe' OR ssrubr_slug='transat;-transat-bebe' OR (ssrubr_title like '%transat; transat bebe%')) AND cate_id='228' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='transat-bebe' AND cate_id='228'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95220'

19. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.892510802952 AND ville_longitude_deg<2.440829197048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0205

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.4812660970883 AND ville_longitude_deg<2.8520739029117 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0207

    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((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- 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='228' AND MATCH (wish_desc) AGAINST ('(+transat; +transat +bebe*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95220,95220,95480,95370,95240,95250,95530,95130,95550,95150,95130,95610,78700,78500,78600,95320,95310,95740,95110,78780,95300,95430,95390,78570,95000,95120,78600,95540,78260,95000,95100,95840,95870,95600,95680,95300,95840,95560,95210,95218,78360,78420,95630,78800,95430,95580,95580,95230,95280,78570,95520,95490,92700,95570,78955,78300,92000,95760,95300,95880,78110,93800,92270,95650,95300,78230,95160,95560,95650,92230,95650,95170,78510,95000,95590,92250,78100,95330,95800,92400,78400,92600,92500,95560,95570,78670,78670,95620,78560,78480,95180,95350,95410,93430,95290,95360,78540,92300,92390,93450,95560,78750,95570,95350,78740,78240,92110,95690,95690,95810,92200,78112,78290,78380,95460,93380,95810,78430,95650,95650,92800,92150,78240,95200,95400,93200,93210,95440,78740,78160,95660,95590,95450,95450,78630,93400,78620,95260,95690,78170,95690,95450,93240,95830,95810,95260,95570,95810,95270,78130,92380,95590,78870,95830,95720,92210,95340,95810,78590,78130,95270,93120,93300,78250,95400,95450,92420,92430,95450,95720,78630,95720,95140,78150,95340,78920,93440,95270,95450,78250,60230,92100,92410,78250,95720,78150,93350,95500,78410,95640,95270,78860) 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 = 64075 AND W.type_id = 1) OR (W.util_id <> 64075 AND W.type_id = 2)) AND (M.post_util_id = 64075 OR M.dest_util_id = 64075) 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=64075 AND note_visu IN (1,3,4)

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 = 130323 AND W.type_id = 1) OR (W.util_id <> 130323 AND W.type_id = 2)) AND (M.post_util_id = 130323 OR M.dest_util_id = 130323) 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=130323 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 = 253654 AND W.type_id = 1) OR (W.util_id <> 253654 AND W.type_id = 2)) AND (M.post_util_id = 253654 OR M.dest_util_id = 253654) 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=253654 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 = 427318 AND W.type_id = 1) OR (W.util_id <> 427318 AND W.type_id = 2)) AND (M.post_util_id = 427318 OR M.dest_util_id = 427318) 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=427318 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='95220'

31. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>1.892510802952 AND ville_longitude_deg<2.440829197048 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0166

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.16667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.4812660970883 AND ville_longitude_deg<2.8520739029117 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 (803)

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 (64075,130323,427318,253654)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (64075,130323,427318,253654)

36. 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='transat; transat bebe' OR ssrubr_slug like '%transat; transat bebe%' OR MATCH (ssrubr_slug) AGAINST ('(+transat; +transat +bebe)')) AND sk.ssrubr_id='803' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

37. 0.0003

    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 = 228 AND ss.ssrubr_id <> 803 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

38. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='803' AND actu_niveau=0 ORDER BY actu_ordre DESC

39. 0.0001

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

40. 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

41. 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 (228) ORDER BY ssrubr_order ASC

42. 0.0009

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

43. 0.0239

    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'

44. 0.0196

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

44 requetes sql en 0.1174