GitHub - yahoo/Oak: A Scalable Concurrent Key-Value Map for Big Data AnalyticsYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Javalin - A lightweight Java and Kotlin web framework. Create REST APIs in Java or Kotlin easily.
import io.javalin.Javalin; public class HelloWorld { public static void main(String[] args) { var app = Javalin.create(/*config*/) .get("/", ctx -> ctx.result("Hello World")) .start(7070); } } import io.javalin.Javalin fun main() { val app = Javalin.create(/*config*/) .get("/") { ctx -> ctx.result("Hello World") } .start(7070) }
Fastest JSON parser ever
jsoniter (json-iterator) is fast and flexible JSON parser available in Java and Go. Good deal of the code is ported from dsljson, and jsonparser. Faster, Much Faster! Traditional JSON parsers are slow. Jsoniter Java version could be 3x times faster than jackson/gson/fastjson. If you are doing a lot of log processing or number crunching, but stuck with JSON, you definitely need to consider dsl-json
Flogger: A Fluent Logging API for Java
What is it? Flogger is a fluent logging API for Java. It supports a wide variety of features, and has many benefits over existing logging APIs. Come for more self-documenting log statements: logger.atInfo().withCause(exception).log("Log message with: %s", argument); Benefits While some users prefer “fluency†as a style, this is not what the argument for Flogger rests on. Flogger offers these key,
Matthew Gilliard's blog || Fast JVM startup with JDK 9
Recently I’ve been working on a project where the execution time of short-lived JVM workloads is a critical factor in overall system performance. This isn’t a particularly common type of workload for the JVM, which is usually long-lived apps that allow HotSpot profiling and optimising to do a really amazing job of speeding your code up. In our processes only a small handful of methods were run oft
HotSpot JavaVM ã® SIMD 最é©åŒ–を効ã‹ã›ã‚‹æ–¹æ³• - Qiita
HotSpot JavaVM ã®ãƒ™ã‚¯ãƒˆãƒ«åŒ–å¤‰æ› æœ€è¿‘ã® HotSpot JavaVM ã¯ã‚¹ã‚«ãƒ©ãƒ¼æ¼”ç®—ã®ç¹°ã‚Šè¿”ã—処ç†ã‚’ベクトル化㗠SIMD 命令ã«å¤‰æ›ã™ã‚‹æœ€é©åŒ–ã‚’è¡Œã£ã¦ã„ã¾ã™ (SIMD ã¨ã¯ä½•ãžã‚„ã¨ã„ã†è©±ã¯å¾ŒåŠå‚ç…§)。実際ã«æœ€é©åŒ–ãŒåŠ¹ãコードã§è©¦ã—ã¦ã¿ãŸã¨ã“ã‚ 1.5～2.8 å€ç¨‹åº¦ã®é€Ÿåº¦å‘上ãŒè¦‹ã‚‰ã‚ŒãŸã®ã§ã€å¤§é‡ã®æ¼”算処ç†ã‚’行ㆠ(GPGPU ã«é ¼ã‚‰ãªã„) Java ライブラリã§ã†ã¾ã使ã†ã“ã¨ãŒå‡ºæ¥ã‚Œã°æœ‰åŠ¹ãªæœ€é©åŒ–手段ã«ãªã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。 HotSpot ã® SIMD 最é©åŒ–㯠Superword-Level Parallelism (SLP) ã«åŸºã¥ã„ã¦ã„ã¾ã™ (以é™ã“ã®æœ€é©åŒ–㯠SLP ã¨å‘¼ã³ã¾ã™)。元々ã“ã®è«–æ–‡ã¯æ™‚代をåæ˜ ã—㦠SIMD 未対応ã®ç”»åƒãƒ»éŸ³å£°å‡¦ç†ã‚’コンパイラやランタイムã®ãƒ¬ã‚¤ãƒ¤ãƒ¼ã§ SIMD を利用ã™ã‚‹å‘½ä»¤ã«å¤‰æ›ã™ã‚‹ã“ã¨ã‚’目的ã¨ã—ã¦ã„ã¾ã—ãŸãŒã€ã“れ㯠SIMD 命令
The History of etcd | CoreOS
Red Hat Enterprise Linux 8.8 and 9.2 leverage Intel’s 5th Gen of features including higher cpu count, faster DDR5 memory, larger 3rd level caches, improved interprocessor bandwidth, and complete implementation of Intel’s Advanced Matrix Extensions. Included in this blog are two new Dell SAP HANA BW...
5 Things You Didn't Know About Synchronization in Java and Scala
5 Things You Didn’t Know About Synchronization in Java and Scala Practically all server applications require some sort of synchronization between multiple threads. Most of the synchronization work is done for us at the framework level, such as by our web server, DB client or messaging framework. Java and Scala provide a multitude of components to write solid multi-threaded applications. These incl
Java 8 ã«è¾¿ã‚Šç€ãã¾ã§ã«èµ·ã㟠ä¸æ€è°ãªã“㨠- Indeed エンジニアリング・ブãƒã‚°
Indeed ã§ã¯ Java 7 ã‹ã‚‰ Java 8 ã¸ç§»è¡Œã—ã¦ã„ã¾ã™ã€‚ (ç¾æ®µéšŽã§ã¯ã€ç§»è¡Œã¯å®Œäº†ã—ã¦ãŠã‚Šã¾ã™ã€‚）段階ã«ã‚ã‘ã¦ç§»è¡Œã—ã¦ãŠã‚Šã€ã¾ãš Java 7ã§ã‚³ãƒ³ãƒ‘イルã•ã‚ŒãŸãƒã‚¤ãƒŠãƒªã‚’ JRE 8 （Java 8 ã®å®Ÿè¡Œç’°å¢ƒï¼‰ã§å®Ÿè¡Œã™ã‚‹ã¨ã“ã‚ã‹ã‚‰å§‹ã‚ã¾ã—ãŸã€‚一度ã«å…¨ã¦ã‚’切り替ãˆã¦ã—ã¾ã†ã®ã§ã¯ãªãã€ã„ãã¤ã‹ã®ã‚«ãƒŠãƒªã‚¢ãƒ†ã‚¹ãƒˆã‚¢ãƒ—リを使用ã—ã¦ã€ã©ã‚“ãªå•é¡ŒãŒè¦‹ã¤ã‹ã‚Šãã†ã‹æ§˜åを見ã¾ã—ãŸã€‚ ç§ãŸã¡ã¯ã€æ±‚人検索ã®ã‚¦ã‚§ãƒ–アプリを一ã¤ç›®ã®ã‚«ãƒŠãƒªã‚¢ãƒ†ã‚¹ãƒˆã¨ã—ã¦é¸ã³ã¾ã—ãŸã€‚昨年㮠5 月ã«ã€ç§ãŸã¡ã¯æœ¬ç•ªç’°å¢ƒã«ã‚ã‚‹ 1 件ã®æ±‚人検索サーãƒãƒ¼ã‚’ JRE 8 ã«åˆ‡ã‚Šæ›¿ãˆã¾ã—ãŸã€‚何もå•é¡Œãªã〠QA 環境㧠JRE 8 を数週間使用ã—ã¦ã„ã¾ã—ãŸãŒã€æœ¬ç•ªç’°å¢ƒã‚’JRE 8 ã«åˆ‡ã‚Šæ›¿ãˆãŸã¨ã“ã‚ã€ã‚·ã‚¹ãƒ†ãƒ è² è·ã¯ 5 （通常ã®ãƒ¬ãƒ™ãƒ«ï¼‰ ã‹ã‚‰ 20 （異常ãªãƒ¬ãƒ™ãƒ«ï¼‰ã¾ã§ã‚ãŒã‚Šã¾ã—ãŸã€‚進ã‚ã‚‹å‰ã«ã€ã¾ãšä¿®æ£ãŒå¿…è¦ãªãらã„ã¯ã£ãã‚Šã¨
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GitHub - cowtowncoder/java-merge-sort: Basic stand-alone disk-based N-way merge sort component for Java
Java 8 ランタイム以é™ã®ã‚µãƒ³ãƒ‰ãƒœãƒƒã‚¯ã‚¹ã¨ gVisor
GitHub - spotify/dns-java: DNS wrapper library that provides SRV lookup functionality
https://rocketmq.apache.org/docs/system-config/
GitHub - graknlabs/redisq: Java library for publish/subscriber queues in Redis
The Top 100 Java Libraries in 2018 - Based on 277,975 Source Files | OverOps Blog
GitHub - netzwerg/paleo: Immutable Java 8 data frames with typed columns (including primitives)
15 Tools Java Developers Should Use After a Major Release - DZone
Faster hashing without effort – Daniel Lemire's blog
http://prestodb.rocks/code/simd/
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