Location ponceuse à 78250 Tessancourt-sur-aubette

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='materiel-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78250' AND ville_nom like '%tessancourt%sur%aubette%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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 '%ponceuse%' OR ssrubr_title like '%ponceuse%' OR ssrubr_slug like '%ponceuse%') AND cate_id='87' 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. 0.0003

    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='78250'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.846035678816 AND ville_latitude_deg<49.205764321184 AND ville_longitude_deg>1.6187581344358 AND ville_longitude_deg<2.1673618655642 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='ponceuse'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+ponceuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78250%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='ponceuse' OR ssrubr_slug='ponceuse' OR (ssrubr_title like '%ponceuse%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='ponceuse' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78250'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.846035678816 AND ville_latitude_deg<49.205764321184 AND ville_longitude_deg>1.6187581344358 AND ville_longitude_deg<2.1673618655642 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.576239197041 AND ville_latitude_deg<49.475560802959 AND ville_longitude_deg>1.2072994227221 AND ville_longitude_deg<2.5788205772779 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0962

    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((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- 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='87' AND MATCH (wish_desc) AGAINST ('(+ponceuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78250,78250,78250,78250,95450,78250,78250,78250,78130,78440,95450,78820,78740,95450,95450,78440,78440,95450,78740,78440,95450,78410,95180,95450,78440,78410,95450,78440,78130,78410,95800,95000,78440,78480,95450,78440,78920,78510,95450,95510,78540,95420,95650,78970,78410,78410,78440,95450,95650,95650,78680,95450,95450,95490,95280,78440,78580,95450,78630,78126,95650,78570,78440,95510,95420,95420,78670,78670,95640,78580,95450,95420,95510,78580,78520,95640,95640,95000,95000,95830,78520,78780,95420,78955,95520,78570,95830,78200,78630,78930,95750,78580,78520,78124,95650,95510,78260,95420,78711,78200,78580,95780,95610,78930,95640,95300,78930,78300,78930,78930,95300,78700,95420,95750,95420,95420,78124,78121,95810,95640,95310,95810,95510,95420,78240,78200,78770,95640,78840,95300,78200,78240,78930,78930,95640,60240,60240,95420,95780,60240,78270,78810,60240,95420,78790,78790,95710,78200,78770,78810,78200,78770,95810,78200,78270,78770,78520,60240,78710,95300,78770,95510,78790,60240,78850,78200,78650,95710,78100,78600,95780,95480) 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 = 16528 AND W.type_id = 1) OR (W.util_id <> 16528 AND W.type_id = 2)) AND (M.post_util_id = 16528 OR M.dest_util_id = 16528) 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=16528 AND note_visu IN (1,3,4)

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 = 209164 AND W.type_id = 1) OR (W.util_id <> 209164 AND W.type_id = 2)) AND (M.post_util_id = 209164 OR M.dest_util_id = 209164) 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=209164 AND note_visu IN (1,3,4)

26. 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 = 275627 AND W.type_id = 1) OR (W.util_id <> 275627 AND W.type_id = 2)) AND (M.post_util_id = 275627 OR M.dest_util_id = 275627) 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=275627 AND note_visu IN (1,3,4)

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 = 305093 AND W.type_id = 1) OR (W.util_id <> 305093 AND W.type_id = 2)) AND (M.post_util_id = 305093 OR M.dest_util_id = 305093) 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=305093 AND note_visu IN (1,3,4)

30. 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 = 496066 AND W.type_id = 1) OR (W.util_id <> 496066 AND W.type_id = 2)) AND (M.post_util_id = 496066 OR M.dest_util_id = 496066) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=496066 AND note_visu IN (1,3,4)

32. 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 = 535485 AND W.type_id = 1) OR (W.util_id <> 535485 AND W.type_id = 2)) AND (M.post_util_id = 535485 OR M.dest_util_id = 535485) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=535485 AND note_visu IN (1,3,4)

34. 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 = 549859 AND W.type_id = 1) OR (W.util_id <> 549859 AND W.type_id = 2)) AND (M.post_util_id = 549859 OR M.dest_util_id = 549859) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=549859 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78250'

37. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.846035678816 AND ville_latitude_deg<49.205764321184 AND ville_longitude_deg>1.6187581344358 AND ville_longitude_deg<2.1673618655642 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0143

    SELECT ville_cp, ROUND((((acos(sin((49.0259*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0259*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.89306- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.576239197041 AND ville_latitude_deg<49.475560802959 AND ville_longitude_deg>1.2072994227221 AND ville_longitude_deg<2.5788205772779 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (44)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (549859,209164,16528,535485,305093,275627,496066)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (549859,209164,16528,535485,305093,275627,496066)

42. 0.0004

    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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='ponceuse' OR ssrubr_slug like '%ponceuse%' OR MATCH (ssrubr_slug) AGAINST ('(+ponceuse)')) AND sk.ssrubr_id='44' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 0.0004

    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 = 87 AND ss.ssrubr_id <> 44 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='44' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 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 (87) ORDER BY ssrubr_order ASC

49. 0.0011

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

50. 0.0226

    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'

51. 0.0179

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

51 requetes sql en 0.1805