We are please to announce the release of Apache Parquet C++ 1.5.0!
Parquet is a general-purpose columnar file format supporting nested
data. It uses space-efficient encodings and a compressed and splittable
structure for processing frameworks like Hadoop.
The CHANGELOG for the release is
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24 September 2018, Apache Lucene™ 7.5.0 available
The Lucene PMC is pleased to announce the release of Apache Lucene 7.5.0.
Apache Lucene is a high-performance, full-featured text search engine
library written entirely in Java. It is a technology
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24 September 2018, Apache Solr™ 7.5.0 available
The Lucene PMC is pleased to announce the release of Apache Solr 7.5.0
Solr is the popular, blazing fast, open source NoSQL search platform from
the Apache Lucene project. Its major features include
The Lucene PMC is pleased to announce that the Solr Reference Guide for
Solr 7.5 is now available.
This 1,389 page PDF is the definitive guide to Apache Solr, the search
server built on Apache Lucene.
The PDF can be downloaded from:
The Apache Allura team is pleased to announce the release of Apache Allura 1.9.0
Allura is an open source implementation of a software forge, a web site that
manages source code repositories, bug reports, discussions, wiki pages, blogs,
and more for any number of individual projects.
Apache
Hello all,
The Apache Juneau team is proud to announce the release of Juneau 7.2.0.
Apache Juneau is...
- A toolkit for marshalling POJOs to a variety of content types using a
common framework.
- A REST server API for creating Swagger-based self-documenting REST
interfaces using
[this announcement is available online at https://s.apache.org/DLL1 ]
Open Source distributed publish-and-subscribe messaging system in use at
MercadoLibre, Oath, One Click Retail, STICorp, TaxiStartup, Yahoo Japan
Corporation, and Zhaopin.com, and more.
Wakefield, MA —25 September 2018— The
Apache HAWQ Project Team is proud to announce Apache
HAWQ 2.4.0.0 has been released.
Apache HAWQ combines exceptional MPP-based analytics
performance, robust ANSI SQL compliance, Hadoop ecosystem
integration and manageability, and flexible data-store format
support, all natively in Hadoop, no