Chronicle Map
Jedis
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| Chronicle Map | Jedis | |
|---|---|---|
| 3 | 4 | |
| 2,582 | 11,106 | |
| 0.9% | 1.0% | |
| 8.9 | 9.5 | |
| about 1 month ago | 3 days ago | |
| Java | Java | |
| Apache License 2.0 | MIT License |
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.
Chronicle Map
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Off-heap memory in Java
Chronicle-Map: Chronicle Map is an in-memory, key-value store, designed for low-latency, and/or multi-process applications.
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Solution for hash-map with >100M values
https://github.com/OpenHFT/Chronicle-Map - Maybe a better offheap map
I've wrangled data sets in the ~600gb range using nothing but plain old Java and a few beefy boxes. This can all be kept in memory, but you have to go off-heap. You can use Chronicle Map and Chronicle Values to model this data and work with it off-heap in a way that's still very clean and object oriented. 128gb of RAM is cheap these days, whether you're in the cloud or not.
Jedis
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Lessons learned from picking a Java based driver for Amazon ElastiCache for Redis - Part 1
Finding out what's causing that was not that simple as Jedis does not write a lot of log information when the log level is set to debug. From what we could tell from the Jedis source code it seems that when the Jedis client connects to the configuration endpoint it fetches all known hosts. It stores that in a local cache and figures out the primary node from the set of nodes. Once the primary node is known it will execute operations against the primary node. It does so by connecting to the Amazon-generated domain name/entry and when that entry is down / unreachable it seems it does not use the configuration endpoint to rediscover the nodes or fetch the new cluster topology. We initially thought this had to do with the DNS caching of the JVM, so we also tried to disable caching, but we did not see any effect after that change.
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Removies
jedis is used to interact with Redis.
What are some alternatives?
Redisson - Redisson - Easy Redis Java client with features of In-Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, local cache ...
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.
JetBrains Xodus - Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
H2 - H2 is an embeddable RDBMS written in Java.
Realm - Realm is a mobile database: a replacement for SQLite & ORMs
EVCache - A distributed in-memory data store for the cloud
Speedment - Speedment is a Stream ORM Java Toolkit and Runtime