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Posts with tag "Query Performance"

Nov1

More Efficient Range Scan Paging with Scylla 3.0

More Efficient Range Scan Paging with Scylla 3.0

In a previous blog post we examined how Scylla’s paging works, explained the problems with it and introduced the new stateful paging in Scylla 2.2 that solves these problems for singular partition queries by making paging stateful. In this second blog post we are going to look into how stateful paging was extended to support range-scans as well in Scylla Open Source 3.0. We were able to increase the throughput of range scans by 30% and how we also significantly reduced the amount of data read from the disk by 39% and the amount of disk operations by 73%. A […]

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Dec21

Performance Evaluation: Scylla as a Database Backend for JanusGraph

Scylla and JanusGraph

In the context of graph databases, the performance of your storage backend is paramount. In the world of edges and vertices, graphs (and the data required to support them) can grow exponentially in a point-to-point fashion. In their talk at Scylla Summit 2017, Ted Chang and Chin Huang, both engineers at IBM, decided to add Scylla to the mix of backends which has traditionally included Cassandra and HBase. They ran test scenarios which covered high volume reads and writes, and provided comparative test results for the three backends, along with lessons learned for each.

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