This release marks a significant step forward in Redis compatibility: the new redis-databases option closes the gap of SELECT command between Kvrocks and Redis. Applications that rely on Redis's multi-database model can now migrate to Kvrocks without any code changes.

Beyond that, this release expands TimeSeries and TDigest command coverage and tightens replication reliability — all while upgrading the C++ standard to C++20 and RocksDB to v10.10.1.

Highlights:

• Support SELECT database — Kvrocks can now emulate Redis's multi-database model, unblocking migrations from Redis deployments that use SELECT to switch between logical databases
• New TimeSeries commands — TS.MREVRANGE, TS.QUERYINDEX, and TS.ALTER round out the time-series API surface for analytics-heavy workloads
• New TDigest commands — TDIGEST.RANK, TDIGEST.REVRANK, TDIGEST.BYRANK, and TDIGEST.BYREVRANK enable percentile and rank queries on streaming data

Intro​

TL;DR:

Pretty cool, right? Let's dive in!

(The full example is provided in the final section.)

The year 2023 is a small milestone for the community in open source, and it is also a new starting point. Kvrocks successfully graduated from the incubator to become an Apache top-level project in June, which is a great affirmation for the community's health and sustainability. At the same time, there are also some exciting progress in the project and community.

Before we start, we would like to thanks all the contributors and users who have been supporting Apache Kvrocks. We can't make it without you!

Wilmington, DE – June 28, 2023 – The Apache Software Foundation(ASF) announced Kvrocks has graduated from the incubator as a Top-Level-Project. Means that the Kvrocks community has met the Apache Foundation's requirements for The Apache Way practices, diversity, and open communication. Graduation marks a new starting point, while much work is still necessary for the community's long-term health.

Learn how to use go-redis client to get started with Apache Kvrocks, a distributed key-value NoSQL database.

Kvrocks is an open-source key-value database that is based on rocksdb and compatible with Redis protocol. Intention to decrease the cost of memory and increase the capability while compared to Redis. We would focus on how we use RocksDB features to improve the performance of the Redis on disk. Hopes this helps people who want to improve performance on RocksDB.

Most developers should be familiar with bitmap, in addition to the storage implementation for the bloom filter, and many databases also provide bitmap type indexes. For memory storage, the bitmap can be regarded as the special type of sparse bit array, which would not cause the read-write amplification issue (means read/write bytes far more than the request). While Redis supports bit-related operations on string types, it is a big challenge for disk KV-based storage like Kvrocks. So this article mainly discusses "How to reduce disk read/write amplification on RocksDB".