AI BriefingDynamic Splitting of Wide Partitions in Cassandra for Time-Series Workloads
Key point
To solve the wide partition problem that occurs in Cassandra when processing time-series data, Netflix introduced a technique to dynamically split partitions.
Details
Netflix operates the TimeSeries Abstraction to process petabyte-scale time-series data with millisecond-level latency. As the core storage for this, it utilizes Apache Cassandra 4.x, which offers high throughput and cost efficiency.
However, due to the nature of time-series workloads, events accumulate over time, causing the problem of Wide Partitions to form. This causes serious performance degradation, especially in environments requiring high read throughput.
To solve this problem, Netflix applied a technique to dynamically split wide partitions in order to prevent partitions from becoming bloated and to maintain performance.
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