我想将来自同一张表的不同结果合并为一个大结果。% [0 D U) c R/ m: z; D3 ~
SELECT host_name,stats_avgcpu,stats_avgmem,stats_avgswap,stats_avgiowait FROM sar_stats,sar_hosts,sar_appgroups,sar_environments WHERE stats_host = host_id AND host_environment = env_id AND env_name = 'Staging 2' AND host_appgroup = group_id AND group_name = 'Pervasive' AND DATE(stats_report_time) = DATE_SUB(curdate(),INTERVAL 1 DAY)SELECT AVG(stats_avgcpu),AVG(stats_avgmem),AVG(stats_avgswap),AVG(stats_avgiowait) FROM sar_stats WHERE stats_id = "stat_id of the first query" and DATE(stats_report_time) BETWEEN DATE_SUB(curdate(),INTERVAL 8 DAY) and DATE_SUB(curdate(),INTERVAL 1 DAY)SELECT AVG(stats_avgcpu),AVG(stats_avgmem),AVG(stats_avgswap),AVG(stats_avgiowait) FROM sar_stats WHERE stats_id = "stat_id of the first query" and DATE(stats_report_time) BETWEEN DATE_SUB(curdate(),INTERVAL 31 DAY) and DATE_SUB(curdate(),INTERVAL 1 DAY)所需的输出将相似… 9 Z: D2 Q& B8 ^, @! mhost_name|stats_avgcpu|stats_avgmem|stats_avgswap|stats_avgiowait|7daycpuavg|7daymemavg|7dayswapavg|7dayiowaitavg|30daycpuavg|30daymemavg|....etc # u# l# p8 u- e/ M! W0 S解决方案: