Location sono à 94170 Le perreux-sur-marne

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='salle'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=176

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94170' AND ville_nom like '%le%perreux%sur%marne%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

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7. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%sono%' OR ssrubr_title like '%sono%' OR ssrubr_slug like '%sono%') AND cate_id='176' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

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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='94170'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2266630625247 AND ville_longitude_deg<2.7733369374753 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sono'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+sono*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94170%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=176

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='sono' OR ssrubr_slug='sono' OR (ssrubr_title like '%sono%')) AND cate_id='176' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='sono' AND cate_id='176'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94170'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2266630625247 AND ville_longitude_deg<2.7733369374753 HAVING distance <= 20 ORDER BY distance ASC

20. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.8166517637462 AND ville_longitude_deg<3.1833482362538 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0501

    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((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- 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='176' AND MATCH (wish_desc) AGAINST ('(+sono*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94170,94170,94120,94130,93110,93360,94360,93330,93250,94500,94350,94340,93130,93220,94410,94300,93160,93460,93100,94340,94100,94210,93340,94430,93320,93140,93230,93260,94420,93170,94160,93000,94220,77420,93370,94700,94000,93310,77500,94140,93190,93390,94490,94880,94880,77185,93500,77184,94205,94200,94380,94380,94370,93270,94510,93470,77181,77340,77186,93150,93700,94400,77177,94270,93410,77200,93350,94600,77360,93600,94470,94800,77181,93120,93300,94460,75013,75014,75011,75012,75010,75009,75008,75006,75005,75004,75003,75002,75000,75015,75018,75007,75116,75020,75019,75001,75017,75016,77680,77090,77183,77270,94320,93440,94250,94450,93290,93420,77410,94390,94310,93400,94110,77600,94190,94440,77400,95500,93210,93200,77400,92120,93240,94235,94230,94231,94232,94233,94236,94237,94238,94239,94240,94234,95140,94290,94550,77600,77600,92170,77400,91330,94440,92240,91560,95500,92390,93450,77164,77330,77150,94440,94150,92110,92220,77135,92340,77400,77600,95400,77170,94480,93380,77150,77400,91200,91800,93430,95500,95700,77400,92300,92320,95500,95360,94520,91230,94520,92600,77290,92230,94260,92200,77400,92130,77410,92330,92260,77600,91550,91270,77410,91320,93800,92140,77410,77144,92100,92160,77600,95410,91860,92270,92350,95880,95190,91800,95200,95400,92400,92250,95720,95170,77173,95350,77410,92290,92360,92190,91210,77410,92150,92800,91480,92700,77144,77700,77990) AND type_id=1 GROUP BY wish_id

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23. 0.0001

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24. 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 = 71467 AND W.type_id = 1) OR (W.util_id <> 71467 AND W.type_id = 2)) AND (M.post_util_id = 71467 OR M.dest_util_id = 71467) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

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26. 0.0002

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27. 0.0001

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28. 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 = 108824 AND W.type_id = 1) OR (W.util_id <> 108824 AND W.type_id = 2)) AND (M.post_util_id = 108824 OR M.dest_util_id = 108824) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

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30. 0.0001

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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 = 198370 AND W.type_id = 1) OR (W.util_id <> 198370 AND W.type_id = 2)) AND (M.post_util_id = 198370 OR M.dest_util_id = 198370) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

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36. 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 = 201000 AND W.type_id = 1) OR (W.util_id <> 201000 AND W.type_id = 2)) AND (M.post_util_id = 201000 OR M.dest_util_id = 201000) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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38. 0.0001

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40. 0.0001

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42. 0.0001

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52. 0.0001

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53. 0.0001

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54. 0.0001

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56. 0.0001

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58. 0.0001

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60. 0.0001

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62. 0.0001

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63. 0.0001

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64. 0.0001

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    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=434832 AND note_visu IN (1,3,4)

68. 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 = 506637 AND W.type_id = 1) OR (W.util_id <> 506637 AND W.type_id = 2)) AND (M.post_util_id = 506637 OR M.dest_util_id = 506637) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

69. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=506637 AND note_visu IN (1,3,4)

70. 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 = 464454 AND W.type_id = 1) OR (W.util_id <> 464454 AND W.type_id = 2)) AND (M.post_util_id = 464454 OR M.dest_util_id = 464454) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

71. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=464454 AND note_visu IN (1,3,4)

72. 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 = 538585 AND W.type_id = 1) OR (W.util_id <> 538585 AND W.type_id = 2)) AND (M.post_util_id = 538585 OR M.dest_util_id = 538585) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

73. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=538585 AND note_visu IN (1,3,4)

74. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94170'

75. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2266630625247 AND ville_longitude_deg<2.7733369374753 HAVING distance <= 20 ORDER BY distance ASC

76. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.8166517637462 AND ville_longitude_deg<3.1833482362538 HAVING distance <= 50 ORDER BY distance ASC

77. 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 (663,790,1192,889,1000,667)

78. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (45230,241680,71467,506637,538585,290116,20396,113859,320855,108824,198370,343630,328702,194730,392021,242055,205109,201000,347831,434832,196993,66837,464454,380250,351587,418405)

79. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (45230,241680,71467,506637,538585,290116,20396,113859,320855,108824,198370,343630,328702,194730,392021,242055,205109,201000,347831,434832,196993,66837,464454,380250,351587,418405)

80. 0.0002

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=176 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

81. 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='sono' OR ssrubr_slug like '%sono%' OR MATCH (ssrubr_slug) AGAINST ('(+sono)')) AND sk.ssrubr_id='790' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

82. 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 = 176 AND ss.ssrubr_id <> 790 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

83. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='790' AND actu_niveau=0 ORDER BY actu_ordre DESC

84. 0.0001

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

85. 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

86. 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 (176) ORDER BY ssrubr_order ASC

87. 0.0011

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

88. 0.0237

    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'

89. 0.0163

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

89 requetes sql en 0.119