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Kornel Pal commented on CASSANDRA-16226: ---------------------------------------- [~maedhroz], since {{COMPACT STORAGE}} support was reintroduced to 4.0, would it make sense to implement the fix for 3.0+ and document the performance degradation as one more of the already many undesirable side effects of {{DROP COMPACT STORAGE}}? {{isCQLTable()}} will be true after that, and then rebuilding the SSTables (compaction, scrub or upgradesstables) will fix the performance issues. I did some more research and I don't think that the temporary performance issue after {{DROP COMPACT STORAGE}} can be fixed without tracking the dropped status. On another note, I think that the current implementation of {{DROP COMPACT STORAGE}} is of very limited use. Ideally it should record that compact storage was dropped and later rebuild the SSTable using a new structure that is functionally equivalent to the old compact behavior, avoiding the issues described in CASSANDRA-16217. Unfortunately I am not sure how much effort such a change was. Other {{ALTER TABLE}} operations such as dropping a column, changing bloom_filter_fp_chance or compression options already require the SSTables to be rebuilt (by compaction, scrub or upgradesstables) to take effect. This would be the first of those operations to cause a temporary performance degradation however. Considering even this, I believe that fixing the compact table performance issue and dealing with the side effects of {{DROP COMPACT STORAGE}} as part of the larger effort of removing compact storage support would benefit the community by facilitating upgrade to 3.0+ from 2.x. > COMPACT STORAGE SSTables created before 3.0 are not correctly skipped by > timestamp due to missing primary key liveness info > --------------------------------------------------------------------------------------------------------------------------- > > Key: CASSANDRA-16226 > URL: https://issues.apache.org/jira/browse/CASSANDRA-16226 > Project: Cassandra > Issue Type: Bug > Components: Legacy/Local Write-Read Paths > Reporter: Caleb Rackliffe > Assignee: Caleb Rackliffe > Priority: Normal > Labels: perfomance, upgrade > Fix For: 3.0.x, 3.11.x, 4.0-beta > > Time Spent: 10m > Remaining Estimate: 0h > > This was discovered while tracking down a spike in the number of SSTables > per read for a COMPACT STORAGE table after a 2.1 -> 3.0 upgrade. Before 3.0, > there is no direct analog of 3.0's primary key liveness info. When we upgrade > 2.1 COMPACT STORAGE SSTables to the mf format, we simply don't write row > timestamps, even if the original mutations were INSERTs. On read, when we > look at SSTables in order from newest to oldest max timestamp, we expect to > have this primary key liveness information to determine whether we can skip > older SSTables after finding completely populated rows. > ex. I have three SSTables in a COMPACT STORAGE table with max timestamps > 1000, 2000, and 3000. There are many rows in a particular partition, making > filtering on the min and max clustering effectively a no-op. All data is > inserted, and there are no partial updates. A fully specified row with > timestamp 2500 exists in the SSTable with a max timestamp of 3000. With a > proper row timestamp in hand, we can easily ignore the SSTables w/ max > timestamps of 1000 and 2000. Without it, we read 3 SSTables instead of 1, > which likely means a significant performance regression. > The following test illustrates this difference in behavior between 2.1 and > 3.0: > https://github.com/maedhroz/cassandra/commit/84ce9242bedd735ca79d4f06007d127de6a82800 > A solution here might be as simple as having > {{SinglePartitionReadCommand#canRemoveRow()}} only inspect primary key > liveness information for non-compact/CQL tables. Tombstones seem to be > handled at a level above that anyway. (One potential problem with that is > whether or not the distinction will continue to exist in 4.0, and dropping > compact storage from a table doesn't magically make pk liveness information > appear.) -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@cassandra.apache.org For additional commands, e-mail: commits-h...@cassandra.apache.org