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Michael Kjellman commented on CASSANDRA-9754: --------------------------------------------- sure, let me change it now. also, If you have any input on the overall way I'm testing and generating load please let me know -- I really did try to make it as realistic as I could and we discussed it internally over here but I'm all ears if you have a different kind of load I'm missing that isn't making it an accurate test so far for certain workloads. > Make index info heap friendly for large CQL partitions > ------------------------------------------------------ > > Key: CASSANDRA-9754 > URL: https://issues.apache.org/jira/browse/CASSANDRA-9754 > Project: Cassandra > Issue Type: Improvement > Reporter: sankalp kohli > Assignee: Michael Kjellman > Priority: Minor > Fix For: 4.x > > Attachments: gc_collection_times_with_birch.png, > gc_collection_times_without_birch.png, gc_counts_with_birch.png, > gc_counts_without_birch.png, > perf_cluster_1_with_birch_read_latency_and_counts.png, > perf_cluster_1_with_birch_write_latency_and_counts.png, > perf_cluster_2_with_birch_read_latency_and_counts.png, > perf_cluster_2_with_birch_write_latency_and_counts.png, > perf_cluster_3_without_birch_read_latency_and_counts.png, > perf_cluster_3_without_birch_write_latency_and_counts.png > > > Looking at a heap dump of 2.0 cluster, I found that majority of the objects > are IndexInfo and its ByteBuffers. This is specially bad in endpoints with > large CQL partitions. If a CQL partition is say 6,4GB, it will have 100K > IndexInfo objects and 200K ByteBuffers. This will create a lot of churn for > GC. Can this be improved by not creating so many objects? -- This message was sent by Atlassian JIRA (v6.3.4#6332)