Understand how compaction manages internal data structures, and the overhead it introduces to the overall performance of Cassandra.
- [Instructor] Cassandra does not reclaim unneeded storage…by deleting rows of data.…Instead, it uses a process called Compaction.…Compaction is the process of merging data from SSTables…into New SSTables.…This helps with reclaiming space…that has been marked with Tombstones,…and it also helps keep down, the number of SSTables…that have to be interrogated to respond to queries.…After compacting, the old SSTable continues to exist,…until the Java virtual machine performs a Garbage Collection…operation on the Cassandra node.…
One of the potential problems with Compaction,…is that both the new and the obsolete SSTables…will continue to exist for some time.…Cassandra provides two ways to perform Compaction…with different trade-offs.…The two types are Leveled Compaction,…and Size-tiered Compaction.…Leveled Compaction is a good choice,…when Your application needs low-latency read operations,…There tends to be more reads than writes,…and Rows are frequently updated.…Now Size-tiered Compaction is a good choice,…when Disk I/O should be minimized,…
- Cassandra architecture
- Keyspaces, tables, and columns
- Installing Java and Cassandra
- CQL data types
- Designing Cassandra tables
- Tuning tables to optimize queries
- When to use secondary indexes and materialized views
- Physical data modeling and distributing data
- Cassandra architecture and its impact on data modeling
Skill Level Intermediate
1. Cassandra Architecture
2. Cassandra Query Language Data Types
3. Designing Cassandra Tables
4. Physical Data Modeling and Distributing Data
Replication in Cassandra2m 1s
5. Cassandra Architecture and Its Impact on Data Modeling
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