Michael Kjellman commented on CASSANDRA-9754:

I have even more great news! My two test clusters just crossed 53GB for the 
90th percentile for max row size. The 50th percentile for mean row size is 
~8.5GB. Read and write latencies are still the same as the numbers I posted 
above from 3 days ago. So you could have an entire cluster of 10GB rows and 
still be stable :) 

> 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?

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