RocksDB
javalin
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RocksDB | javalin | |
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43 | 23 | |
27,203 | 5,583 | |
1.2% | - | |
9.8 | 9.1 | |
about 5 hours ago | almost 2 years ago | |
C++ | Kotlin | |
GNU General Public License v3.0 only | 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.
RocksDB
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How to choose the right type of database
RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing.
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Fast persistent recoverable log and key-value store
[RocksDB](https://rocksdb.org/) isn’t a distributed storage system, fwiw. It’s an embedded KV engine similar to LevelDB, LMDB, or really sqlite (though that’s full SQL, not just KV)
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The Hallucinated Rows Incident
To output the top 3 rocks, our engine has to first store all the rocks in some sorted way. To do this, we of course picked RocksDB, an embedded lexicographically sorted key-value store, which acts as the sorting operation's persistent state. In our RocksDB state, the diffs are keyed by the value of weight, and since RocksDB is sorted, our stored diffs are automatically sorted by their weight.
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In-memory vs. disk-based databases: Why do you need a larger than memory architecture?
Memgraph uses RocksDB as a key-value store for extending the capabilities of the in-memory database. Not to go into too many details about RocksDB, but let’s just briefly mention that it is based on a data structure called Log-Structured Merge-Tree (LSMT) (instead of B-Trees, typically the default option in databases), which are saved on disk and because of the design come with a much smaller write amplification than B-Trees.
The in-memory version of Memgraph uses Delta storage to support multi-version concurrency control (MVCC). However, for larger-than-memory storage, we decided to use the Optimistic Concurrency Control Protocol (OCC) since we assumed conflicts would rarely happen, and we could make use of RocksDB’s transactions without dealing with the custom layer of complexity like in the case of Delta storage.
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How RocksDB Works
Tuning RocksDB well is a very very hard challenge, and one that I am happy to not do day to day anymore. RocksDB is very powerful but it comes with other very sharp edges. Compaction is one of those, and all answers are likely workload dependent.
If you are worried about write amplification then leveled compactions are sub-optimal. I would try the universal compaction.
- https://github.com/facebook/rocksdb/wiki/Universal-Compactio...
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What are the advantages of using Rust to develop KV databases?
It's fairly challenging to write a KV database, and takes several years of development to get the balance right between performance and reliability and avoiding data loss. Maybe read through the documentation for RocksDB https://github.com/facebook/rocksdb/wiki/RocksDB-Overview and watch the video on why it was developed and that may give you an impression of what is involved.
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We’re the Meilisearch team! To celebrate v1.0 of our open-source search engine, Ask us Anything!
LMDB is much more sain in the sense that it supports real ACID transactions instead of savepoints for RocksDB. The latter is heavy and consumes a lot more memory for a lot less read throughput. However, RocksDB has a much better parallel and concurrent write story, where you can merge entries with merge functions and therefore write from multiple CPUs.
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Google's OSS-Fuzz expands fuzz-reward program to $30000
https://github.com/facebook/rocksdb/issues?q=is%3Aissue+clic...
Here are some bugs in JeMalloc:
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Event streaming in .Net with Kafka
Streamiz wrap a consumer, a producer, and execute the topology for each record consumed in the source topic. You can easily create stateless and stateful application. By default, each state store is a RocksDb state store persisted on disk.
javalin
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Looking for maintainer for jvm-brotli
If you've read this far, you might be interested to know that Javalin has been offering Brotli compression through jvm-brotli for three years already, and that there have been no (reported) issues. In other words, the effort required to release and maintain this is probably not huge.
- Using "equivalents" in other languages to help learn
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Question about Kotlin from an ex-Java developer
I'm a big fan of Ktor (ktor.io) but another reasonable lightweight alternative is Javelin (https://javalin.io/). Heck even Spring Boot isn't that bad. HikariCP + JooQ (has both java and kotlin codegen) for DB access if you need and you're good to go.
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Turbo: The speed of a SPA without writing JavaScript
A similar alternative that does not rely on web sockets is https://htmx.org. I have greatly enjoyed using it with some simpler web frameworks like https://javalin.io to do some prototyping and smaller projects. I'm sure if someone made a plug and play UI library like material UI for Angular on top of htmx you could absolutely fly through MVPs.
- Does Java has an equivalent to Django/Laravel/Node
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Java Equivalent of Express.js for REST
If you want something really small that simply let's you expose REST APIs using plain Java, without the IoC containers, you might want to check out Javalin, Ratpack or Armeria
Javalin
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Why people don't love Java?
I've been looking at https://javalin.io/ Seems close enough to express and some big names are using it, so I wouldn't say it's fizzling out
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Is there Expressjs like framework for java
Javalin (https://javalin.io) is strongly inspired by Express and Koa, so you should feel right at home:
What are some alternatives?
ktor - Framework for quickly creating connected applications in Kotlin with minimal effort
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
LMDB - Read-only mirror of official repo on openldap.org. Issues and pull requests here are ignored. Use OpenLDAP ITS for issues.
Spring Boot - Spring Boot
SQLite - Unofficial git mirror of SQLite sources (see link for build instructions)
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
sled - the champagne of beta embedded databases
Quarkus - Quarkus: Supersonic Subatomic Java.
http4k - The Functional toolkit for Kotlin HTTP applications. http4k provides a simple and uniform way to serve, consume, and test HTTP services.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Jooby - The modular web framework for Java and Kotlin
vertx-lang-kotlin - Vert.x for Kotlin