SparkTutorials has moved to the official Spark webpage at http://sparkjava.com/tutorials/ I have stopped writing tutorials for Spark though, focusing on my new Java/Kotlin web framework Javalin
Yet another fast Java decompilerThe “Java Decompiler project” aims to develop tools in order to decompile and analyze Java 5 “byte code” and the later versions. JD-Core is a freeware library that reconstructs Java source code from one or more “.class” files. JD-Core may be used to recover lost source code and explore the source of Java runtime libraries. New features of Java 5, such as annotations
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets. At the present time, Pig's infrastructure l
Solr is the popular, blazing-fast, open source enterprise search platform built on Apache Lucene™. Learn more about Solr. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest inter
iアプリとは、iモード対応携帯電話上で動作するソフトウェア(プログラム)です。iアプリを利用することにより、HTMLベースのコンテンツと比較してよりダイナミックで、よりインタラクティブなコンテンツをユーザに提供することが可能となります。 ここでは503iシリーズ、504iシリーズ、505iシリーズ、506iシリーズおよびFOMAに搭載されるiアプリ実行環境およびその言語仕様についてご説明します。
Google App Engine was released yesterday for Java. It provides the ability to deploy Java based web applications onto the App Engine, and provides a data storeGoogle App Engine was released yesterday for Java. It provides the ability to deploy Java based web applications onto the App Engine, and provides a data store service (with JPA and JDO on top of it), memcached, and others. So, what I decid
val fruits = List("apple", "banana", "avocado", "papaya") val countsToFruits = // count how many 'a' in each fruit fruits.groupBy(fruit => fruit.count(_ == 'a')) for (count, fruits) <- countsToFruits do println(s"with 'a' × $count = $fruits") // prints: with 'a' × 1 = List(apple) // prints: with 'a' × 2 = List(avocado) // prints: with 'a' × 3 = List(banana, papaya)
Google just announced that their Google App Engine cloud hosting platform now supports other languages than Python: namely Java and Groovy! You can now effectively write your Google App Engine applications in Groovy! A couple of weeks ago, the SpringSource Groovy team and the Google App Engine Java team worked together, hand in hand, to iron out the details, to ensure that the popular and award-wi
This is the third post in a series detailing information about the newly announced Google App Engine support for Java. In this post I thought I’d go through the steps you need to take to get a JRuby on Rails application working on GAE/J, and also what kind of characteristics you should expect from your application. You need a fairly new copy of JRuby. Most of the changes needed to JRuby was added
Send feedback Migrating from the Google Plugin for Eclipse Stay organized with collections Save and categorize content based on your preferences. The Google Plugin for Eclipse (GPE) is no longer available. This document describes how to migrate a project that uses GPE to Cloud Tools for Eclipse. App Engine Standard Cloud Tools for Eclipse supports development for the App Engine environment. To mig
25 November 2023 - POI 5.2.5 available The Apache POI team is pleased to announce the release of 5.2.5. Several dependencies were updated to their latest versions to pick up security fixes and other improvements. A summary of changes is available in the Release Notes. A full list of changes is available in the change log. People interested should also follow the dev list to track progress. See the
Voldemort is a distributed key-value storage system Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization
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