When we are writing the data to ignite thru streamer ( key, value) and Ignite JDBC ( into couple of SQL tables) we get very high throughput when read IOPS are low and Write IOPS are high and we get very low throughput when Reads and Writes are competing. So my question when I am writing to the Ignite which is mostly write intensive operation, why are the read IOPS are going up. I understand you much be reading some ( meta data and indexes ) but it gets to a point where it starts competing with writes and grabs almost half. I am attaching the graph which gives you some insights into the write/read pattern. I am curious what is causing the read IOPS go up and how can we avoid if possible ? Let me know what you guys think??
In the diagram attached take a look blue ( write ) and yellow ( read ) IOPS <http://apache-ignite-users.70518.x6.nabble.com/file/t2578/read-write-grapha.png> Thanx and Regards, KR Kumar -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
