time-series-concurrency-example
lasher
Our great sponsors
| time-series-concurrency-example | lasher | |
|---|---|---|
| 3 | 1 | |
| 6 | 4 | |
| - | - | |
| 6.5 | 0.0 | |
| 11 days ago | over 1 year ago | |
| Java | Java | |
| The Unlicense | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
time-series-concurrency-example
lasher
-
Solution for hash-map with >100M values
Do you need to update the data after initial load? If not, then I would suggest using my Paldb fork , otherwise you could try my lasher library. It's in early stage but first results are very promising, I was testing it with 10-100M elements and the performance was similar to java hashmap.
What are some alternatives?
MBassador - Powerful event-bus optimized for high throughput in multi-threaded applications. Features: Sync and Async event publication, weak/strong references, event filtering, annotation driven
Oak - A Scalable Concurrent Key-Value Map for Big Data Analytics
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
SmoothieMap - A gulp of low latency Java
Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
PalDB - An embeddable key-value store written in Java
JCTools
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
QuestDB - An open source time-series database for fast ingest and SQL queries
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.