jasync-sql
MapDB
jasync-sql | MapDB | |
---|---|---|
2 | 5 | |
1,654 | 4,910 | |
0.1% | - | |
6.9 | 0.0 | |
about 1 year ago | 6 months ago | |
Kotlin | Java | |
Apache License 2.0 | Apache License 2.0 |
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jasync-sql
- Blocking code is a leaky abstraction
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Java virtual threads caused a deadlock in TPC-C for PostgreSQL
Was curious what it is "jasync". And man it hurts me to see documentation like this (when compared to classic javadocs)
https://github.com/jasync-sql/jasync-sql/wiki/API-Overview
From project WIKI (https://github.com/jasync-sql/jasync-sql/wiki)
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?
Ktorm - A lightweight ORM framework for Kotlin with strong-typed SQL DSL and sequence APIs.
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.
Exposed - Kotlin SQL Framework
H2 - H2 is an embeddable RDBMS written in Java.
kt-postgresql-async - Kotlin 1.1 async clients for sync protocols: Mysql, Postgres, Thrift, Http
JetBrains Xodus - Transactional schema-less embedded database used by JetBrains YouTrack and JetBrains Hub.
requery - requery - modern SQL based query & persistence for Java / Kotlin / Android
Redisson - Redisson - Valkey and Redis Java client. Complete Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..
spring-data-jpa-mongodb-expressions - Use the MongoDB query language to query your relational database, typically from frontend.
Jedis - Redis Java client
potassium-nitrite