SELECT favourite_num,follow_num,likes,live_id,page_views,peak_concurrent_viewers,unique_viewers,unique_visitors,total_views FROM live_data and page_views = #{pageViews} and unique_visitors = #{uniqueVisitors} and total_views = #{totalViews} and unique_viewers = #{uniqueViewers} and peak_concurrent_viewers = #{peakConcurrentViewers} and favourite_num = #{favouriteNum} and follow_num = #{followNum} and likes = #{likes} and live_id = #{live_id} where live_id = #{liveId} SELECT B.live_id FROM live B where B.status = '2' SELECT A.favourite_num,A.follow_num,A.likes,A.live_id,A.page_views, A.peak_concurrent_viewers,A.unique_viewers,A.unique_visitors,A.total_views FROM live_data A inner join live B on A.live_id = B.live_id where B.status in (1,2,4) and b.is_audit = 1 and b.is_show = 1 and is_del=0 SELECT A.page_views AS pageViews,A.unique_visitors AS uniqueVisitors, B.live_id AS liveId,B.live_name AS liveName,B.`status` AS status,B.live_img_url AS liveImgUrl,B.start_time AS startTime FROM live_data A LEFT JOIN live B ON A.live_id = B.live_id ORDER BY B.start_time LIMIT 4 SELECT A.page_views AS pageViews,A.unique_visitors AS uniqueVisitors, B.live_id AS liveId,B.live_name AS liveName,B.`status` AS status,B.live_img_url AS liveImgUrl,B.start_time AS startTime FROM live_data A LEFT JOIN live B ON A.live_id = B.live_id where b.company_id = #{companyId} ORDER BY B.start_time LIMIT 4 SELECT A.page_views AS pageViews,A.unique_visitors AS uniqueVisitors,A.total_views AS totalViews,A.unique_viewers AS uniqueViewers,A.peak_concurrent_viewers AS peakConcurrentViewers, B.live_name AS liveName,B.live_img_url AS liveImgUrl FROM live_data A LEFT JOIN live B ON A.live_id = B.live_id ORDER BY A.page_views DESC ORDER BY A.total_views DESC ORDER BY A.page_views ASC ORDER BY A.total_views ASC ORDER BY A.page_views DESC LIMIT 10 SELECT A.page_views AS pageViews,A.unique_visitors AS uniqueVisitors,A.total_views AS totalViews,A.unique_viewers AS uniqueViewers,A.peak_concurrent_viewers AS peakConcurrentViewers, B.live_name AS liveName,B.live_img_url AS liveImgUrl FROM live_data A LEFT JOIN live B ON A.live_id = B.live_id where b.company_id = #{companyId} ORDER BY A.page_views DESC ORDER BY A.total_views DESC ORDER BY A.page_views ASC ORDER BY A.total_views ASC ORDER BY A.page_views DESC LIMIT 10 SELECT SUM(ld.page_views) AS views, SUM(ld.unique_visitors) AS visitors, COUNT(l.live_id) AS streams, SUM(ld.total_views) AS pv, SUM(ld.unique_viewers) AS uv FROM live_data ld JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{startDate} AND #{endDate}; SELECT CASE WHEN #{format} = 'day' THEN DATE(l.start_time) WHEN #{format} = 'week' THEN CONCAT( DATE_FORMAT(DATE_SUB(l.start_time, INTERVAL WEEKDAY(l.start_time) DAY), '%m/%d'), '-', DATE_FORMAT(DATE_ADD(l.start_time, INTERVAL (6 - WEEKDAY(l.start_time)) DAY), '%m/%d') ) WHEN #{format} = 'month' THEN DATE_FORMAT(l.start_time, '%Y-%m') END AS date_range, COUNT(l.live_id) SUM(ld.${category}) AS views FROM live_data ld LEFT JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{chartStartDate} AND #{chartEndDate} GROUP BY date_range ORDER BY date_range; SELECT SUM(ld.page_views) AS prevViews, SUM(ld.unique_visitors) AS prevVisitors, COUNT(l.live_id) AS prevStreams, SUM(ld.total_views) AS prevPv, SUM(ld.unique_viewers) AS prevUv FROM live_data ld LEFT JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{prevStartDate} AND #{prevStartDate}; SELECT SUM(ld.page_views) AS views, SUM(ld.unique_visitors) AS visitors, COUNT(l.live_id) AS streams, SUM(ld.total_views) AS pv, SUM(ld.unique_viewers) AS uv FROM live_data ld JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{startDate} AND #{endDate} and l.company_id = #{companyId} ; SELECT CASE WHEN #{format} = 'day' THEN DATE(l.start_time) WHEN #{format} = 'week' THEN CONCAT( DATE_FORMAT(DATE_SUB(l.start_time, INTERVAL WEEKDAY(l.start_time) DAY), '%m/%d'), '-', DATE_FORMAT(DATE_ADD(l.start_time, INTERVAL (6 - WEEKDAY(l.start_time)) DAY), '%m/%d') ) WHEN #{format} = 'month' THEN DATE_FORMAT(l.start_time, '%Y-%m') END AS date_range, COUNT(l.live_id) SUM(ld.${category}) AS views FROM live_data ld LEFT JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{chartStartDate} AND #{chartEndDate} and l.company_id = #{companyId} GROUP BY date_range ORDER BY date_range; SELECT SUM(ld.page_views) AS prevViews, SUM(ld.unique_visitors) AS prevVisitors, COUNT(l.live_id) AS prevStreams, SUM(ld.total_views) AS prevPv, SUM(ld.unique_viewers) AS prevUv FROM live_data ld LEFT JOIN live l ON ld.live_id = l.live_id WHERE DATE(l.start_time) BETWEEN #{prevStartDate} AND #{prevStartDate} and l.company_id = #{companyId} ; insert into live_data live_id, page_views, unique_visitors, total_views, unique_viewers, peak_concurrent_viewers, #{liveId}, #{pageViews}, #{uniqueVisitors}, #{totalViews}, #{uniqueViewers}, #{peakConcurrentViewers}, update live_data page_views = #{pageViews}, unique_visitors = #{uniqueVisitors}, total_views = #{totalViews}, unique_viewers = #{uniqueViewers}, peak_concurrent_viewers = #{peakConcurrentViewers}, likes = #{likes}, favourite_num = #{favouriteNum}, follow_num = #{followNum}, where live_id = #{liveId} delete from live_data where live_id = #{liveId} delete from live_data where live_id in #{liveId} UPDATE live_data page_views = #{liveData.pageViews}, unique_visitors = #{liveData.uniqueVisitors}, total_views = #{liveData.totalViews}, unique_viewers = #{liveData.uniqueViewers}, peak_concurrent_viewers = #{liveData.peakConcurrentViewers}, likes = #{liveData.likes}, favourite_num = #{liveData.favouriteNum}, follow_num = #{liveData.followNum}, WHERE live_id = #{liveData.liveId} SELECT COUNT( lwu.user_id) AS totalViewers, COUNT( CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 THEN lwu.user_id END) AS liveViewers, COUNT( CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 THEN lwu.user_id END) AS playbackViewers, COALESCE(AVG(CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 THEN lwu.online_seconds END), 0) AS liveAvgDuration, COALESCE(AVG(CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 THEN lwu.online_seconds END), 0) AS playbackAvgDuration, COUNT( CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS totalCompletedCourses, COUNT( CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 AND lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS liveCompletedCourses, COUNT( CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 AND lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS playbackCompletedCourses, COALESCE(( SELECT SUM( pay_price) FROM live_order WHERE live_id IN #{liveId} AND is_pay = '1' ), 0) AS gmv, COALESCE(( select sum(acs.paid) from (SELECT COUNT(DISTINCT user_id) as paid FROM live_order WHERE live_id IN #{liveId} AND is_pay = '1' group by live_id ) acs ), 0) AS paidUsers, COALESCE(( SELECT COUNT(DISTINCT order_id) FROM live_order WHERE live_id IN #{liveId} AND is_pay = '1' ), 0) AS paidOrders, COALESCE(( SELECT COUNT(DISTINCT order_id) FROM live_order WHERE live_id IN #{liveId} ), 0) AS salesCount FROM live l LEFT JOIN live_watch_user lwu ON l.live_id = lwu.live_id LEFT JOIN ( SELECT live_id, SUM(COALESCE(duration, 0)) AS total_duration FROM live_video WHERE video_type IN (1, 2) GROUP BY live_id ) video_duration ON l.live_id = video_duration.live_id WHERE l.live_id IN #{liveId} SELECT l.live_id AS liveId, l.live_name AS liveName, l.live_type AS liveType, l.status AS status, l.start_time AS startTime, l.finish_time AS finishTime, COUNT(1) AS totalViewers, COUNT(CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 THEN lwu.user_id END) AS liveViewers, COUNT(CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 THEN lwu.user_id END) AS playbackViewers, COALESCE(AVG(CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 THEN lwu.online_seconds END), 0) AS liveAvgDuration, COALESCE(AVG(CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 THEN lwu.online_seconds END), 0) AS playbackAvgDuration, COUNT(CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS totalCompletedCourses, COUNT(CASE WHEN lwu.live_flag = 1 and lwu.replay_flag = 0 AND lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS liveCompletedCourses, COUNT(CASE WHEN lwu.live_flag = 0 and lwu.replay_flag = 1 AND lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS playbackCompletedCourses, COALESCE(order_stats.gmv, 0) AS gmv, COALESCE(order_stats.paidUsers, 0) AS paidUsers, COALESCE(order_stats.paidOrders, 0) AS paidOrders, COALESCE(order_stats.salesCount, 0) AS salesCount FROM live l LEFT JOIN live_watch_user lwu ON l.live_id = lwu.live_id LEFT JOIN ( SELECT live_id, SUM(COALESCE(duration, 0)) AS total_duration FROM live_video WHERE video_type IN (1, 2) GROUP BY live_id ) video_duration ON l.live_id = video_duration.live_id LEFT JOIN ( SELECT live_id, SUM( case when is_pay = '1' then pay_price else 0 end) AS gmv, COUNT(distinct CASE WHEN is_pay = '1' THEN user_id END) AS paidUsers, sum(CASE WHEN is_pay = '1' THEN 1 else 0 END) AS paidOrders, COUNT(DISTINCT order_id) AS salesCount FROM live_order GROUP BY live_id ) order_stats ON l.live_id = order_stats.live_id WHERE l.live_id IN #{liveId} GROUP BY l.live_id, l.live_name, l.live_type, l.status, l.start_time, l.finish_time, order_stats.gmv, order_stats.paidUsers, order_stats.paidOrders, order_stats.salesCount ORDER BY l.start_time DESC SELECT COALESCE(video_duration.total_duration, 0) AS videoDuration, (COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END) + COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END)) AS totalViewers, COUNT(DISTINCT CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) AS totalCompletedCourses, CASE WHEN COUNT(DISTINCT lwu.user_id) > 0 THEN ROUND(COUNT(DISTINCT CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) * 100.0 / COUNT(DISTINCT lwu.user_id), 2) ELSE 0 END AS totalCompletionRate, COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END) AS liveViewers, COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1200 THEN lwu.user_id END) AS liveOver20Minutes, COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1800 THEN lwu.user_id END) AS liveOver30Minutes, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END) > 0 THEN ROUND(COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1200 THEN lwu.user_id END) * 100.0 / COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END), 2) ELSE 0 END AS liveCompletionRate20, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END) > 0 THEN ROUND(COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1800 THEN lwu.user_id END) * 100.0 / COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.user_id END), 2) ELSE 0 END AS liveCompletionRate30, COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END) AS playbackViewers, COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 AND lwu.online_seconds >= 1200 THEN lwu.user_id END) AS playbackOver20Minutes, COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 AND lwu.online_seconds >= 1800 THEN lwu.user_id END) AS playbackOver30Minutes, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END) > 0 THEN ROUND(COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 AND lwu.online_seconds >= 1200 THEN lwu.user_id END) * 100.0 / COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END), 2) ELSE 0 END AS playbackCompletionRate20, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END) > 0 THEN ROUND(COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 AND lwu.online_seconds >= 1800 THEN lwu.user_id END) * 100.0 / COUNT(DISTINCT CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.user_id END), 2) ELSE 0 END AS playbackCompletionRate30, COALESCE(ld.peak_concurrent_viewers, 0) AS livePeak, COALESCE(AVG(CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.online_seconds END), 0) AS liveAvgDuration, COALESCE(AVG(CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.online_seconds END), 0) AS playbackAvgDuration, CASE WHEN COALESCE(video_duration.total_duration, 0) > 0 THEN ROUND(COALESCE(AVG(CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.online_seconds END), 0) * 100.0 / video_duration.total_duration, 2) ELSE 0 END AS playbackFinishRate, COALESCE(order_stats.gmv, 0) AS gmv, COALESCE(order_stats.paidUsers, 0) AS paidUsers, COALESCE(order_stats.paidOrders, 0) AS paidOrders, CASE WHEN COALESCE(ld.peak_concurrent_viewers, 0) > 0 THEN ROUND(order_stats.paidUsers * 100.0 / ld.peak_concurrent_viewers, 2) ELSE 0 END AS peakConversionRate, CASE WHEN COUNT(DISTINCT lwu.user_id) > 0 THEN ROUND(order_stats.paidUsers * 100.0 / COUNT(DISTINCT lwu.user_id), 2) ELSE 0 END AS totalViewerConversionRate, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1800 THEN lwu.user_id END) > 0 THEN ROUND(order_stats.paidUsers * 100.0 / COUNT(DISTINCT CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 AND lwu.online_seconds >= 1800 THEN lwu.user_id END), 2) ELSE 0 END AS completion30MinConversionRate, CASE WHEN COALESCE(ld.peak_concurrent_viewers, 0) > 0 THEN ROUND(order_stats.gmv / ld.peak_concurrent_viewers, 2) ELSE 0 END AS peakRValue, CASE WHEN COUNT(DISTINCT CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END) > 0 THEN ROUND(order_stats.gmv / COUNT(DISTINCT CASE WHEN lwu.online_seconds >= COALESCE(video_duration.total_duration, 0) AND video_duration.total_duration > 0 THEN lwu.user_id END), 2) ELSE 0 END AS completionRValue FROM live l LEFT JOIN live_data ld ON l.live_id = ld.live_id LEFT JOIN live_watch_user lwu ON l.live_id = lwu.live_id LEFT JOIN ( SELECT live_id, SUM(COALESCE(duration, 0)) AS total_duration FROM live_video WHERE video_type IN (1, 2) GROUP BY live_id ) video_duration ON l.live_id = video_duration.live_id LEFT JOIN ( SELECT live_id, SUM(CASE WHEN is_pay = '1' THEN pay_price ELSE 0 END) AS gmv, COUNT(DISTINCT CASE WHEN is_pay = '1' THEN user_id END) AS paidUsers, SUM(CASE WHEN is_pay = '1' THEN 1 ELSE 0 END) AS paidOrders FROM live_order GROUP BY live_id ) order_stats ON l.live_id = order_stats.live_id WHERE l.live_id = #{liveId} SELECT u.user_id AS userId, COALESCE(u.nickname,u.nick_name, '未知用户') AS userName, COALESCE(SUM(CASE WHEN lwu.live_flag = 1 AND lwu.replay_flag = 0 THEN lwu.online_seconds ELSE 0 END), 0) AS liveWatchDuration, COALESCE(SUM(CASE WHEN lwu.live_flag = 0 AND lwu.replay_flag = 1 THEN lwu.online_seconds ELSE 0 END), 0) AS playbackWatchDuration, COALESCE(order_info.orderCount, 0) AS orderCount, COALESCE(order_info.orderAmount, 0) AS orderAmount, COALESCE(c.company_name, '') AS companyName, COALESCE(cu.user_name, '') AS salesName FROM live_watch_user lwu LEFT JOIN fs_user u ON lwu.user_id = u.user_id LEFT JOIN ( SELECT CAST(user_id AS UNSIGNED) AS user_id, COUNT(DISTINCT order_id) AS orderCount, SUM(CASE WHEN is_pay = '1' THEN pay_price ELSE 0 END) AS orderAmount FROM live_order WHERE live_id = #{liveId} AND user_id IS NOT NULL AND user_id != '' GROUP BY user_id ) order_info ON lwu.user_id = order_info.user_id left join live_user_first_entry lufe on lwu.live_id = lufe.live_id and lwu.user_id = lufe.user_id LEFT JOIN company c ON lufe.company_id = c.company_id LEFT JOIN company_user cu ON lufe.company_user_id = cu.user_id WHERE lwu.live_id = #{liveId} GROUP BY u.user_id, u.nick_name, u.nickname, order_info.orderCount, order_info.orderAmount, c.company_name, cu.user_name ORDER BY order_info.orderAmount DESC, liveWatchDuration DESC