3. 查看blocking session的等待事件 9052这个session正在等待log file switch (checkpoint incomplete), 每次等待最长20秒左右, 偶尔也有几秒钟. 看起来并不是一直被卡在log file switch上. 而是多次被卡住. 阻塞9052这个session的是lgwr进程, 主要等待control file sequential read每次的等待的时间并不长在0.2ms以下....
Log Read Checkpoint File /home/oracle/ogg/ggs12/dirdat/k1000000013 2019-08-13 23:11:22.220552 RBA 1803 GGSCI (dwdb1 as c##ggadmin@dwdb1/CDB$ROOT) 45> info EXT_KAF1 EXTRACT EXT_KAF1 Last Started 2019-08-13 23:11 Status RUNNING Checkpoint Lag 00:00:05 (updated 00:00:07 ago) Proc...
页的头部有一个FIL_PAGE_LSN用于记录该页的LSN,反应的是页的当前版本。 LSN同样也用于记录checkpoint的位置。使用SHOW ENGINE INNODB STATUS命令查看LSN情况时,Log sequence number是当前LSN,Log flushed up to 是刷新到重做日志文件的LSN,Last checkpoint at 是刷新到磁盘的LSN。 由于LSN具有单调增长性,如果重做日志...
Log Read Checkpoint File /home/oracle/ogg/ggs12/dirdat/k1000000013 2019-08-13 23:11:22.220552 RBA 1803 GGSCI (dwdb1 as c##ggadmin@dwdb1/CDB$ROOT) 45> info EXT_KAF1 EXTRACT EXT_KAF1 Last Started 2019-08-13 23:11 Status RUNNING Checkpoint Lag 00:00:05 (updated 00:00:07 ago) Proc...
在Flink CDC中任务重启,从checkpoint恢复数据,binlog也存在,就是读取不到如何 在Flink CDC中任务重启,从checkpoint恢复数据,binlog也存在,就是读取不到如何解决?Caused by: java.lang.IllegalStateException: The connector is trying to read binlog starting at Struct{version=1.9.7.Final,connector=mysql,name=my...
即使开启persistent queue,也有可能会有数据丢失,影响因素是flush间隔(checkpoint),默认是1024个事件flush一次,设置为1则每个事件flush一次,虽然不丢消息,但是对性能影响较大; queue.checkpoint.writes: 1 2 Dead Letter Queues By default, when Logstash encounters an event that it cannot process because the data...
即使开启persistent queue,也有可能会有数据丢失,影响因素是flush间隔(checkpoint),默认是1024个事件flush一次,设置为1则每个事件flush一次,虽然不丢消息,但是对性能影响较大; queue.checkpoint.writes: 1 2 Dead Letter Queues By default, when Logstash encounters an event that it cannot process because the data...
即使开启persistent queue,也有可能会有数据丢失,影响因素是flush间隔(checkpoint),默认是1024个事件flush一次,设置为1则每个事件flush一次,虽然不丢消息,但是对性能影响较大; queue.checkpoint.writes: 1 2 Dead Letter Queues By default, when Logstash encounters an event that it cannot process because the data...
默认情况下,flink的状态会保存在taskmanager的内存中,而checkpoint会保存在jobManager的内存中。 参考:Flink状态后端配置(设置State Backend) 不过在使用flink streaming job中,使用rocksdb backend可能会使用一点managed memory(属于堆外内存) 参考: https://nightlies.apache.org/flink/flink-docs-master/docs/deployment...