--- /dev/null
+SELECT f.*
+FROM (
+ # sql request
+ SELECT e.id, e.ls_score, e.l_score, e.g_score, e.ls_previous, e.l_previous, e.g_previous, e.created, e.user_id, e.premium, e.hotspot,
+ MAX(gu.group_id) AS group_id
+ FROM (
+ # Select all applications with other user scores from global excluding canceled applications (in time) and locked sessions
+ SELECT
+ d.id,
+ d.session_id,
+ d.session_date,
+ d.user_id,
+ d.ls_count,
+ d.ls_score,
+ d.ls_tr_ratio,
+ d.ls_temp,
+ d.ls_pn_ratio,
+ d.ls_previous,
+ d.l_count,
+ d.l_score,
+ d.l_tr_ratio,
+ d.l_temp,
+ d.l_pn_ratio,
+ d.l_previous,
+ d.g_count,
+ d.g_score,
+ d.g_tr_ratio,
+ d.g_temp,
+ d.g_pn_ratio,
+ d.g_previous,
+ # Compute count, score, tr_ratio, temp and pn_ratio for global
+ COUNT(a5.id) AS o_count,
+ SUM(IF(a5.id IS NOT NULL, 1/ABS(DATEDIFF(d.session_date, ADDDATE(s5.date, INTERVAL IF(s5.slot_id = 4, 1, 0) DAY))), 0)) AS o_score,
+ AVG(IF(a5.id IS NOT NULL AND s5.temperature IS NOT NULL AND s5.rainfall IS NOT NULL, s5.temperature/(1+s5.rainfall), NULL)) AS o_tr_ratio,
+ AVG(IF(a5.id IS NOT NULL AND s5.temperature IS NOT NULL, s5.temperature, NULL)) AS o_temp,
+ (SUM(IF(a5.id IS NOT NULL AND s5.premium = 1, 1, 0))+1)/(SUM(IF(a5.id IS NOT NULL AND s5.premium = 0, 1, 0))+1) AS o_pn_ratio,
+ MAX(IF(a5.id IS NOT NULL, s5.date, NULL)) AS o_previous,
+ d.remaining,
+ d.premium,
+ d.hotspot,
+ d.created
+ FROM (
+ # Select all applications with scores from global excluding canceled applications (in time) and locked sessions
+ SELECT
+ c.id,
+ c.session_id,
+ c.session_date,
+ c.user_id,
+ c.ls_count,
+ c.ls_score,
+ c.ls_tr_ratio,
+ c.ls_temp,
+ c.ls_pn_ratio,
+ c.ls_previous,
+ c.l_count,
+ c.l_score,
+ c.l_tr_ratio,
+ c.l_temp,
+ c.l_pn_ratio,
+ c.l_previous,
+ # Compute count, score, tr_ratio, temp and pn_ratio for global
+ COUNT(a4.id) AS g_count,
+ SUM(IF(a4.id IS NOT NULL, 1/ABS(DATEDIFF(c.session_date, ADDDATE(s4.date, INTERVAL IF(s4.slot_id = 4, 1, 0) DAY))), 0)) AS g_score,
+ AVG(IF(a4.id IS NOT NULL AND s4.temperature IS NOT NULL AND s4.rainfall IS NOT NULL, s4.temperature/(1+s4.rainfall), NULL)) AS g_tr_ratio,
+ AVG(IF(a4.id IS NOT NULL AND s4.temperature IS NOT NULL, s4.temperature, NULL)) AS g_temp,
+ (SUM(IF(a4.id IS NOT NULL AND s4.premium = 1, 1, 0))+1)/(SUM(IF(a4.id IS NOT NULL AND s4.premium = 0, 1, 0))+1) AS g_pn_ratio,
+ #MIN(IF(a4.id IS NOT NULL, DATEDIFF(c.session_date, ADDDATE(s4.date, INTERVAL IF(s4.slot_id = 4, 1, 0) DAY)), NULL)) AS g_previous,
+ MIN(IF(a4.id IS NOT NULL, DATEDIFF(c.session_date, s4.date), NULL)) AS g_previous,
+ c.remaining,
+ c.premium,
+ c.hotspot,
+ c.created
+ FROM (
+ # Select all applications with scores from same location excluding canceled applications (in time) and locked sessions
+ SELECT
+ b.id,
+ b.session_id,
+ b.session_date,
+ /*remonter location_id ici, on veut prendre la température pour la même location + slot_id IN (2, 3)*/
+ b.user_id,
+ b.ls_count,
+ b.ls_score,
+ b.ls_tr_ratio,
+ b.ls_temp,
+ b.ls_pn_ratio,
+ b.ls_previous,
+ # Compute count, score, tr_ratio, temp and pn_ratio for same location
+ COUNT(a3.id) AS l_count,
+ SUM(IF(a3.id IS NOT NULL, 1/ABS(DATEDIFF(b.session_date, ADDDATE(s3.date, INTERVAL IF(s3.slot_id = 4, 1, 0) DAY))), 0)) AS l_score,
+ AVG(IF(a3.id IS NOT NULL AND s3.temperature IS NOT NULL AND s3.rainfall IS NOT NULL, s3.temperature/(1+s3.rainfall), NULL)) AS l_tr_ratio,
+ AVG(IF(a3.id IS NOT NULL AND s3.temperature IS NOT NULL, s3.temperature, NULL)) AS l_temp,
+ (SUM(IF(a3.id IS NOT NULL AND s3.premium = 1, 1, 0))+1)/(SUM(IF(a3.id IS NOT NULL AND s3.premium = 0, 1, 0))+1) AS l_pn_ratio,
+ #MIN(IF(a3.id IS NOT NULL, DATEDIFF(b.session_date, ADDDATE(s3.date, INTERVAL IF(s3.slot_id = 4, 1, 0) DAY)), NULL)) AS l_previous,
+ MIN(IF(a3.id IS NOT NULL, DATEDIFF(b.session_date, s3.date), NULL)) AS l_previous,
+ /*#TODO: calculer les délais guest|regular ici ou plus haut et les remonter (au denier cran c'est mieux pour limiter la taille de la temp table)*/
+ b.remaining,
+ b.premium,
+ b.hotspot,
+ b.created
+ FROM (
+ # Select all applications with scores from same location+slot excluding canceled applications (in time) and locked sessions
+ SELECT
+ a.id,
+ s.id AS session_id,
+ ADDDATE(s.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY) AS session_date,
+ s.location_id,
+ a.user_id,
+ # Compute count, score, tr_ratio, temp and pn_ratio for same location and slot
+ COUNT(a2.id) AS ls_count,
+ SUM(IF(a2.id IS NOT NULL, 1/ABS(DATEDIFF(s.date, ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY))), 0)) AS ls_score,
+ AVG(IF(a2.id IS NOT NULL AND s2.temperature IS NOT NULL AND s2.rainfall IS NOT NULL, s2.temperature/(1+s2.rainfall), NULL)) AS ls_tr_ratio,
+ AVG(IF(a2.id IS NOT NULL AND s2.temperature IS NOT NULL, s2.temperature, NULL)) AS ls_temp,
+ (SUM(IF(a2.id IS NOT NULL AND s2.premium = 1, 1, 0))+1)/(SUM(IF(a2.id IS NOT NULL AND s2.premium = 0, 1, 0))+1) AS ls_pn_ratio,
+ #MIN(IF(a2.id IS NOT NULL, DATEDIFF(s.date, ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)), NULL)) AS ls_previous,
+ MIN(IF(a2.id IS NOT NULL, DATEDIFF(s.date, s2.date), NULL)) AS ls_previous,
+ /*#TODO: calculer les délais guest|regular ici ou plus haut et les remonter (au denier cran c'est mieux pour limiter la taille de la temp table)*/
+ TIMEDIFF(ADDDATE(ADDTIME(s.date, s.begin), INTERVAL IF(s2.slot_id = 4, 1, 0) DAY), NOW()) AS remaining,
+ s.premium,
+ l.hotspot,
+ a.created
+ FROM sessions AS s
+ JOIN locations AS l ON (l.id = s.location_id)
+ JOIN applications AS a ON (a.session_id = s.id AND a.canceled IS NULL)
+ LEFT JOIN sessions AS s2 ON (s2.id != s.id AND s2.location_id = s.location_id AND s2.slot_id = s.slot_id AND s2.application_id IS NOT NULL AND s2.locked IS NULL)
+ LEFT JOIN applications AS a2 ON (a2.id = s2.application_id AND a2.user_id = a.user_id AND (a2.canceled IS NULL OR TIMESTAMPDIFF(DAY, a2.canceled, ADDDATE(ADDTIME(s2.date, s2.begin), INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)) < 1))
+ WHERE s.id = 12
+ GROUP BY a.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS b
+ LEFT JOIN sessions AS s3 ON (s3.id != b.session_id AND s3.location_id = b.location_id AND s3.application_id IS NOT NULL AND s3.locked IS NULL)
+ LEFT JOIN applications AS a3 ON (a3.id = s3.application_id AND a3.user_id = b.user_id AND (a3.canceled IS NULL OR TIMESTAMPDIFF(DAY, a3.canceled, ADDDATE(ADDTIME(s3.date, s3.begin), INTERVAL IF(s3.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY b.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS c
+ LEFT JOIN sessions AS s4 ON (s4.id != c.session_id AND s4.application_id IS NOT NULL AND s4.locked IS NULL)
+ LEFT JOIN applications AS a4 ON (a4.id = s4.application_id AND a4.user_id = c.user_id AND (a4.canceled IS NULL OR TIMESTAMPDIFF(DAY, a4.canceled, ADDDATE(ADDTIME(s4.date, s4.begin), INTERVAL IF(s4.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY c.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS d
+ LEFT JOIN sessions AS s5 ON (s5.id != d.session_id AND s5.application_id IS NOT NULL AND s5.locked IS NULL)
+ LEFT JOIN applications AS a5 ON (a5.id = s5.application_id AND a5.user_id != d.user_id AND (a5.canceled IS NULL OR TIMESTAMPDIFF(DAY, a5.canceled, ADDDATE(ADDTIME(s5.date, s5.begin), INTERVAL IF(s5.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY d.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS e
+ LEFT JOIN groups_users AS gu ON (gu.user_id = e.user_id)
+ GROUP BY e.id
+) AS f
+/*TODO: vérifier comment se comporte o_tr_ratio quand on a zéro réservation ^_^ à l'initialisation au hasard */
+WHERE
+ IF(f.group_id <= 2 AND f.l_previous <= 30, f.remaining <= SEC_TO_TIME(2*24*3600), 1) AND
+ IF(f.group_id <= 3 AND f.premium = 1 AND f.hotspot = 1, f.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(f.group_id <= 4 AND f.l_count <= 5, f.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(f.group_id <= 4 AND f.l_pn_ratio >= 1, f.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(f.group_id <= 4 AND f.l_tr_ratio >= (f.o_tr_ratio + 5), f.remaining <= SEC_TO_TIME(3*24*3600), 1)
+ORDER BY f.l_score ASC, f.g_score ASC, f.created ASC, f.user_id ASC
--- /dev/null
+SELECT
+ e.id,
+ e.user_id,
+ e.group_id,
+ e.hotspot,
+ e.premium,
+ e.created,
+ e.l_count,
+ e.l_score,
+ e.g_score,
+ e.l_pn_ratio,
+ e.l_tr_ratio,
+ e.o_tr_ratio,
+ e.l_previous,
+ e.remaining
+FROM (
+ SELECT
+ d.id,
+ d.session_id,
+ d.session_date,
+ d.location_id,
+ d.user_id,
+ d.l_count,
+ d.l_score,
+ d.l_tr_ratio,
+ d.l_pn_ratio,
+ d.l_previous,
+ d.g_count,
+ d.g_score,
+ d.g_tr_ratio,
+ d.g_pn_ratio,
+ d.g_previous,
+ d.o_count,
+ d.o_score,
+ d.o_tr_ratio,
+ d.o_pn_ratio,
+ d.o_previous,
+ MAX(gu.group_id) AS group_id,
+ d.remaining,
+ d.premium,
+ d.hotspot,
+ d.created
+ FROM (
+ SELECT
+ c.id,
+ c.session_id,
+ c.session_date,
+ c.location_id,
+ c.user_id,
+ c.l_count,
+ c.l_score,
+ c.l_tr_ratio,
+ c.l_pn_ratio,
+ c.l_previous,
+ c.g_count,
+ c.g_score,
+ c.g_tr_ratio,
+ c.g_pn_ratio,
+ c.g_previous,
+ COUNT(a4.id) AS o_count,
+ SUM(IF(a4.id IS NOT NULL, 1/ABS(DATEDIFF(c.session_date, ADDDATE(s4.date, INTERVAL IF(s4.slot_id = 4, 1, 0) DAY))), 0)) AS o_score,
+ AVG(IF(a4.id IS NOT NULL AND s4.temperature IS NOT NULL AND s4.rainfall IS NOT NULL, s4.temperature/(1+s4.rainfall), NULL)) AS o_tr_ratio,
+ (SUM(IF(a4.id IS NOT NULL AND s4.premium = 1, 1, 0))+1)/(SUM(IF(a4.id IS NOT NULL AND s4.premium = 0, 1, 0))+1) AS o_pn_ratio,
+ MIN(IF(a4.id IS NOT NULL, DATEDIFF(c.session_date, ADDDATE(s4.date, INTERVAL IF(s4.slot_id = 4, 1, 0) DAY)), NULL)) AS o_previous,
+ c.remaining,
+ c.premium,
+ c.hotspot,
+ c.created
+ FROM (
+ SELECT
+ b.id,
+ b.session_id,
+ b.session_date,
+ b.location_id,
+ b.user_id,
+ b.l_count,
+ b.l_score,
+ b.l_tr_ratio,
+ b.l_pn_ratio,
+ b.l_previous,
+ COUNT(a3.id) AS g_count,
+ SUM(IF(a3.id IS NOT NULL, 1/ABS(DATEDIFF(b.session_date, ADDDATE(s3.date, INTERVAL IF(s3.slot_id = 4, 1, 0) DAY))), 0)) AS g_score,
+ AVG(IF(a3.id IS NOT NULL AND s3.temperature IS NOT NULL AND s3.rainfall IS NOT NULL, s3.temperature/(1+s3.rainfall), NULL)) AS g_tr_ratio,
+ (SUM(IF(a3.id IS NOT NULL AND s3.premium = 1, 1, 0))+1)/(SUM(IF(a3.id IS NOT NULL AND s3.premium = 0, 1, 0))+1) AS g_pn_ratio,
+ MIN(IF(a3.id IS NOT NULL, DATEDIFF(b.session_date, ADDDATE(s3.date, INTERVAL IF(s3.slot_id = 4, 1, 0) DAY)), NULL)) AS g_previous,
+ b.remaining,
+ b.premium,
+ b.hotspot,
+ b.created
+ FROM (
+ SELECT
+ a.id,
+ s.id AS session_id,
+ ADDDATE(s.date, INTERVAL IF(s.slot_id = 4, 1, 0) DAY) AS session_date,
+ s.location_id,
+ a.user_id,
+ COUNT(a2.id) AS l_count,
+ SUM(IF(a2.id IS NOT NULL, 1/ABS(DATEDIFF(ADDDATE(s.date, INTERVAL IF(s.slot_id = 4, 1, 0) DAY), ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY))), 0)) AS l_score,
+ AVG(IF(a2.id IS NOT NULL AND s2.temperature IS NOT NULL AND s2.rainfall IS NOT NULL, s2.temperature/(1+s2.rainfall), NULL)) AS l_tr_ratio,
+ (SUM(IF(a2.id IS NOT NULL AND s2.premium = 1, 1, 0))+1)/(SUM(IF(a2.id IS NOT NULL AND s2.premium = 0, 1, 0))+1) AS l_pn_ratio,
+ MIN(IF(a2.id IS NOT NULL, DATEDIFF(ADDDATE(s.date, INTERVAL IF(s.slot_id = 4, 1, 0) DAY), ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)), NULL)) AS l_previous,
+ TIMEDIFF(ADDDATE(ADDTIME(s.date, s.begin), INTERVAL IF(s.slot_id = 4, 1, 0) DAY), NOW()) AS remaining,
+ s.premium,
+ l.hotspot,
+ a.created
+ FROM sessions AS s
+ JOIN locations AS l ON (l.id = s.location_id)
+ JOIN applications AS a ON (a.session_id = s.id AND a.canceled IS NULL)
+ LEFT JOIN sessions AS s2 ON (s2.id != s.id AND s2.location_id = s.location_id AND s2.slot_id IN (2, 3) AND s2.application_id IS NOT NULL AND s2.locked IS NULL)
+ LEFT JOIN applications AS a2 ON (a2.id = s2.application_id AND a2.user_id = a.user_id AND (a2.canceled IS NULL OR TIMESTAMPDIFF(DAY, a2.canceled, ADDDATE(ADDTIME(s2.date, s2.begin), INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)) < 1))
+ WHERE s.id = 12
+ GROUP BY a.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS b
+ LEFT JOIN sessions AS s3 ON (s3.id != b.session_id AND s3.application_id IS NOT NULL AND s3.locked IS NULL)
+ LEFT JOIN applications AS a3 ON (a3.id = s3.application_id AND a3.user_id = b.user_id AND (a3.canceled IS NULL OR TIMESTAMPDIFF(DAY, a3.canceled, ADDDATE(ADDTIME(s3.date, s3.begin), INTERVAL IF(s3.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY b.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS c
+ LEFT JOIN sessions AS s4 ON (s4.id != c.session_id AND s4.location_id = c.location_id AND s4.application_id IS NOT NULL AND s4.locked IS NULL)
+ LEFT JOIN applications AS a4 ON (a4.id = s4.application_id AND a4.user_id != c.user_id AND (a4.canceled IS NULL OR TIMESTAMPDIFF(DAY, a4.canceled, ADDDATE(ADDTIME(s4.date, s4.begin), INTERVAL IF(s4.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY c.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS d
+ LEFT JOIN groups_users AS gu ON (gu.user_id = d.user_id)
+ GROUP BY d.id
+ LIMIT 0, 1000000
+) AS e
+WHERE
+ IF(e.group_id <= 2 AND e.l_previous <= 30, e.remaining <= SEC_TO_TIME(2*24*3600), 1) AND
+ IF(e.group_id <= 3 AND e.premium = 1 AND e.hotspot = 1, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_count <= 5, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_pn_ratio >= 1, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_tr_ratio >= (e.o_tr_ratio + 5), e.remaining <= SEC_TO_TIME(3*24*3600), 1)
+ORDER BY e.l_score, e.g_score, e.created, e.user_id
--- /dev/null
+SELECT e.id, e.l_score AS score
+FROM (
+ SELECT
+ d.id,
+ d.user_id,
+ d.l_count,
+ d.l_score,
+ d.l_tr_ratio,
+ d.l_pn_ratio,
+ d.l_previous,
+ d.g_score,
+ d.o_tr_ratio,
+ MAX(gu.group_id) AS group_id,
+ d.remaining,
+ d.premium,
+ d.hotspot,
+ d.created
+ FROM (
+ SELECT
+ c.id,
+ c.user_id,
+ c.l_count,
+ c.l_score,
+ c.l_tr_ratio,
+ c.l_pn_ratio,
+ c.l_previous,
+ c.g_score,
+ AVG(IF(a4.id IS NOT NULL AND s4.temperature IS NOT NULL AND s4.rainfall IS NOT NULL, s4.temperature/(1+s4.rainfall), NULL)) AS o_tr_ratio,
+ c.remaining,
+ c.premium,
+ c.hotspot,
+ c.created
+ FROM (
+ SELECT
+ b.id,
+ b.user_id,
+ b.session_id,
+ b.date,
+ b.location_id,
+ b.l_count,
+ b.l_score,
+ b.l_tr_ratio,
+ b.l_pn_ratio,
+ b.l_previous,
+ SUM(IF(a3.id IS NOT NULL, 1/ABS(DATEDIFF(ADDDATE(b.date, INTERVAL IF(b.slot_id = 4, 1, 0) DAY), ADDDATE(s3.date, INTERVAL IF(s3.slot_id = 4, 1, 0) DAY))), 0)) AS g_score,
+ b.remaining,
+ b.premium,
+ b.hotspot,
+ b.created
+ FROM (
+ SELECT
+ a.id,
+ a.user_id,
+ s.id AS session_id,
+ s.date AS date,
+ s.slot_id,
+ s.location_id,
+ COUNT(a2.id) AS l_count,
+ SUM(IF(a2.id IS NOT NULL, 1/ABS(DATEDIFF(ADDDATE(s.date, INTERVAL IF(s.slot_id = 4, 1, 0) DAY), ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY))), 0)) AS l_score,
+ AVG(IF(a2.id IS NOT NULL AND s2.temperature IS NOT NULL AND s2.rainfall IS NOT NULL, s2.temperature/(1+s2.rainfall), NULL)) AS l_tr_ratio,
+ (SUM(IF(a2.id IS NOT NULL AND s2.premium = 1, 1, 0))+1)/(SUM(IF(a2.id IS NOT NULL AND s2.premium = 0, 1, 0))+1) AS l_pn_ratio,
+ MIN(IF(a2.id IS NOT NULL, DATEDIFF(ADDDATE(s.date, INTERVAL IF(s.slot_id = 4, 1, 0) DAY), ADDDATE(s2.date, INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)), NULL)) AS l_previous,
+ TIMEDIFF(ADDDATE(ADDTIME(s.date, s.begin), INTERVAL IF(s.slot_id = 4, 1, 0) DAY), NOW()) AS remaining,
+ s.premium,
+ l.hotspot,
+ a.created
+ FROM sessions AS s
+ JOIN locations AS l ON (l.id = s.location_id)
+ JOIN applications AS a ON (a.session_id = s.id AND a.canceled IS NULL)
+ LEFT JOIN sessions AS s2 ON (s2.id != s.id AND s2.location_id = s.location_id AND s2.slot_id IN (2, 3) AND s2.application_id IS NOT NULL AND s2.locked IS NULL AND s2.date > s.date - INTERVAL 1 YEAR)
+ LEFT JOIN applications AS a2 ON (a2.id = s2.application_id AND a2.user_id = a.user_id AND (a2.canceled IS NULL OR TIMESTAMPDIFF(DAY, a2.canceled, ADDDATE(ADDTIME(s2.date, s2.begin), INTERVAL IF(s2.slot_id = 4, 1, 0) DAY)) < 1))
+ WHERE s.id = 12
+ GROUP BY a.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS b
+ LEFT JOIN sessions AS s3 ON (s3.id != b.session_id AND s3.application_id IS NOT NULL AND s3.locked IS NULL AND s3.date > b.date - INTERVAL 1 YEAR)
+ LEFT JOIN applications AS a3 ON (a3.id = s3.application_id AND a3.user_id = b.user_id AND (a3.canceled IS NULL OR TIMESTAMPDIFF(DAY, a3.canceled, ADDDATE(ADDTIME(s3.date, s3.begin), INTERVAL IF(s3.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY b.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS c
+ LEFT JOIN sessions AS s4 ON (s4.id != c.session_id AND s4.location_id = c.location_id AND s4.application_id IS NOT NULL AND s4.locked IS NULL AND s4.date > c.date - INTERVAL 1 YEAR)
+ LEFT JOIN applications AS a4 ON (a4.id = s4.application_id AND a4.user_id != c.user_id AND (a4.canceled IS NULL OR TIMESTAMPDIFF(DAY, a4.canceled, ADDDATE(ADDTIME(s4.date, s4.begin), INTERVAL IF(s4.slot_id = 4, 1, 0) DAY)) < 1))
+ GROUP BY c.id
+ ORDER BY NULL
+ LIMIT 0, 1000000
+ ) AS d
+ LEFT JOIN groups_users AS gu ON (gu.user_id = d.user_id)
+ GROUP BY d.id
+ LIMIT 0, 1000000
+) AS e
+WHERE
+ IF(e.group_id <= 2 AND e.l_previous <= 30, e.remaining <= SEC_TO_TIME(2*24*3600), 1) AND
+ IF(e.group_id <= 3 AND e.premium = 1 AND e.hotspot = 1, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_count <= 5, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_pn_ratio >= 1, e.remaining <= SEC_TO_TIME(3*24*3600), 1) AND
+ IF(e.group_id <= 4 AND e.l_tr_ratio >= (e.o_tr_ratio + 5), e.remaining <= SEC_TO_TIME(3*24*3600), 1)
+ORDER BY e.l_score, e.g_score, e.created, e.user_id
Rapsys Git / airbundle / commitdiff