July 2016 Summaries

The Aerospike Node.js client's performance was significantly improved in version 2 with a switch to asynchronous, non-blocking I/O and adoption of error-first callback semantics. However, late in the development cycle, significant performance degradation was noticed due to the use of variable-length argument lists in the new callback handler function. After several iterations, a 34x gain in callback handling performance was achieved by using static function arguments instead of the special arguments object. This optimization was included in the first patch release v2.0.1.

Aerospike has released version 3.9 of its Enterprise-Grade NoSQL product, introducing new APIs that support server-side manipulation of Map and Sorted Map data structures. This release also includes a rapid rebalance feature, which reduces typical cluster migration time by 40x, improving overall latency for applications supported by Aerospike. Additionally, the platform now supports Ubuntu 16.04. The company is seeking feedback from users on these new features and plans to deliver further enhancements in the first half of this year.

The blog post discusses how to efficiently store and retrieve time-series data for top-performing stocks in Aerospike using the new Sorted Map API. It provides a detailed example of organizing financial tick data by stock ticker and day, storing each tick data point as part of a Sorted Map in Aerospike. The post also demonstrates how to calculate averages, retrieve top-performing stocks, and create summaries for a given time period using the Sorted Map API. Additionally, it introduces an Aerospike Sorted Maps demo that can be extended to support a complete financial portfolio.

With Aerospike v3.8.4, a new Sorted Map API has been introduced, allowing for efficient storage and retrieval of sorted data in real-time. This feature enables organizations to easily calculate averages, find the top-performing stocks or analysts, and retrieve other summary information from large datasets. The demo showcases the power of Aerospike's Sorted Map by storing real-time stock tick data and providing a summarized view of the maximum, minimum, and average values for each stock across a given time period. Additionally, it provides an overview of the top-performing stocks during the specified time period. The Sorted Maps API can be extended to support a complete financial portfolio, enabling organizations to build applications such as Leaderboards and Time-Series Applications.