Ehcache
MapDB
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Ehcache | MapDB | |
---|---|---|
3 | 5 | |
1,963 | 4,832 | |
1.1% | - | |
5.2 | 0.0 | |
10 days ago | 4 months ago | |
Java | Java | |
Apache License 2.0 | 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.
Ehcache
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GC, hands off my data!
I decided to start with an overview of what open-source options are currently available. When it comes to the implementation of the on-heap cache mechanism, the options are numerous – there is well known: guava, ehcache, caffeine and many other solutions. However, when I began researching cache mechanisms offering the possibility of storing data outside GC control, I found out that there are very few solutions left. Out of the popular ones, only Terracotta is supported. It seems that this is a very niche solution and we do not have many options to choose from. In terms of less-known projects, I came across Chronicle-Map, MapDB and OHC. I chose the last one because it was created as part of the Cassandra project, which I had some experience with and was curious about how this component worked:
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Counting faster with Postgres
If the application is a simple two-tier app with only UI and some form of backend, then we can use a caching layer such as EH Cache or Cache tools to maintain the count of rows as and when we insert it. These caches can be backed by persistence so that the data is not lost. Caches are lightweight and pretty fast. Alternatively, one can store the count in the database itself. The key feature of this approach is that the trigger to update the count is the application's responsibility.
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Resume Advice Thread - June 19, 2021
"EHCache" is formally "Ehcache".
MapDB
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GC, hands off my data!
I decided to start with an overview of what open-source options are currently available. When it comes to the implementation of the on-heap cache mechanism, the options are numerous – there is well known: guava, ehcache, caffeine and many other solutions. However, when I began researching cache mechanisms offering the possibility of storing data outside GC control, I found out that there are very few solutions left. Out of the popular ones, only Terracotta is supported. It seems that this is a very niche solution and we do not have many options to choose from. In terms of less-known projects, I came across Chronicle-Map, MapDB and OHC. I chose the last one because it was created as part of the Cassandra project, which I had some experience with and was curious about how this component worked:
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Permazen: Language-natural persistence to KV stores
So, it's an object database, like Zope's ZODB on Python?
I like the idea, but I'd like to learn about use cases for it.
Otherwise, in Java, MapDB is about as far as I'd be willing to go: https://github.com/jankotek/mapdb/
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what is the best persistent collection library?
Anyway, without further ado, I found MapDB (https://github.com/jankotek/mapdb) which does exactly that. Of course, they also provide their own Java collection implementations as well, so I suspect using it with Vavr would be a poor idea, but it is very cool in its own right anyway. Of course, there is also Apache Derby and HSQLDB, and those great options with a long history as well. I haven't played with these in a while though, so I might give them a try again soon for some personal stuff.
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Ask HN: What are the best key-value self-hosted storage engines?
In Java I like
https://mapdb.org/
It is more feature rich than you want but in Python I'd probably just use sqlite3 since it is in the standard library.
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Solution for hash-map with >100M values
I have had good results with mapdb
What are some alternatives?
Caffeine - A high performance caching library for Java
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
H2 - H2 is an embeddable RDBMS written in Java.
Redisson - Redisson - Easy Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
JetBrains Xodus - Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub.
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
Apache ZooKeeper - Apache ZooKeeper
Jedis - Redis Java client
Apache Geode - Apache Geode
Exposed - Kotlin SQL Framework