Location sono à 92500 Rueil-malmaison

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. 0.0002

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='salle'

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92500' AND ville_nom like '%rueil%malmaison%' 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. 0.0002

   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

   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='92500'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9264811089253 AND ville_longitude_deg<2.4735188910747 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sono'

14. 0.0009

    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 '92500%'

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='92500'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9264811089253 AND ville_longitude_deg<2.4735188910747 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.5161968758251 AND ville_longitude_deg<2.8838031241749 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0632

    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((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- 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 (92500,92500,92000,92150,92800,78400,78800,78420,92250,92400,92210,92380,92200,78170,78380,92700,78360,78290,95870,92420,92430,78560,92270,78110,78430,92300,92410,92100,92600,92310,78500,92110,78230,78600,78150,95100,78600,78150,78750,78160,78100,92130,92360,92190,92230,92170,92370,78870,78140,95530,78220,78112,78620,93400,95110,92240,78590,92140,78000,93800,75016,75015,75008,75009,75010,75013,75012,75116,75020,75019,75018,75017,75014,75007,75003,75002,75000,75001,75011,75004,75005,75006,95210,95218,92320,95240,95370,92390,93450,92120,95130,92220,95120,92350,94250,78300,78590,78240,95880,92260,92330,93200,93210,78350,95220,95130,78330,93430,78700,95230,78210,78260,94110,78240,78530,92290,78350,78860,93120,93300,78955,94270,95600,95360,78450,93310,93500,92340,78570,95170,94239,94235,94230,94236,94240,94238,94233,94237,94232,94234,94231,95250,91570,95580,95580,95480,95320,94800,93240,93380,94200,94205,91370,95410,95390,93170,78117,95680,78780,95160,78280,78450,78630,78390,78670,78670,78570,92160,95610,91430,91430,95550,95150,93350,94160,91400,94550,93260,93230,94260,78810,93100,94300,93440,94220,78340,95000,91300,95350,78180,78117,95140,78540,78510,94140,93000,94400,78190,95350,94150,78960,95740,95200,95400,94320,91120,95840,93700,93150,95560,91190,95280,95330,95000,91320,78114,78480,95400,95500,94700,93130,91190,78121,95310,93140,78810,78370,95570,95300,78470,95440) AND type_id=1 GROUP BY wish_id

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28. 0.0001

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30. 0.0001

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32. 0.0001

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35. 0.0001

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36. 0.0001

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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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53. 0.0001

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54. 0.0002

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55. 0.0001

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56. 0.0002

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58. 0.0001

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59. 0.0001

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62. 0.0002

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65. 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=311956 AND note_visu IN (1,3,4)

68. 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 = 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. 0.0002

    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 = 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. 0.0002

    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 = 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='92500'

75. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.9264811089253 AND ville_longitude_deg<2.4735188910747 HAVING distance <= 20 ORDER BY distance ASC

76. 0.0092

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.5161968758251 AND ville_longitude_deg<2.8838031241749 HAVING distance <= 50 ORDER BY distance ASC

77. 0.0002

    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 (663,1149,790,1192,889,1000,667)

78. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (392021,311956,461994,358594,538585,418405,447850,290116,351587,66837,320855,108824,347831,241680,370960,343630,328702,113859,71467,242055,205109,201000,464454,506637,101663,196993)

79. 0.0002

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (392021,311956,461994,358594,538585,418405,447850,290116,351587,66837,320855,108824,347831,241680,370960,343630,328702,113859,71467,242055,205109,201000,464454,506637,101663,196993)

80. 0.0003

    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. 0.0003

    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. 0.0009

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

88. 0.0272

    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. 0.0227

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

89 requetes sql en 0.1507