Solr Source Code

LUCENE/SOLR disadvantage solrlucenehadoop&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; 1 http request done Cache,8630.html "> Sometimes the new data will not be visible, cache lag problem." -cache optimization is not a Problem 2 admin background page, support Chinese 、...

Nutch Index source Code Interpretation II Blog Category: Large data processing Research Ntuchsolrhadoop crawler then the previous document ~~~~~ the previous article, Nutch used an Mr to crawl down the document to clean and encapsulate into an action list. The next step is to describe how the crawled data is pushed to SOLR. ----------------------------------------------------Gorgeous segmentation ...

Nutch Index Source Code Analysis (i) blog Category: Large data processing Research Nutchsolrhadoop index Nutch Integration Slor Index Method Introduction/** * indexing * @param solrurl SOLR web address * @param CRA WLDB Crawl db storage path: \crawl\crawldb ...

Hadoop Here's my notes about introduction and some hints for Hadoop based open source projects. Hopenhagen it ' s useful to you. Management Tool ambari:a web-based Tool for provisioning, managing, and Mon ...

Mahara is an Open-source electronic folder, weblog, CV Builder and Social http://www.aliyun.com/zixun/aggregation/32416.html "> Network system." It can contact users and build online learning communities. It is designed to provide users with tools for lifelong learning. In order to be as flexible and scalable as possible, its system is designed to be modular. Mahara 1.4 Release Note: While this releases super-delegates ...

Spam filtering, face recognition, recommendation engine-when you have a large dataset and want to use them to perform predictive analysis and pattern recognition, machine learning is the only way. In this science, computers can learn, analyze and manipulate data independently without prior planning, and more and more developers are now concerned with machine learning. The rise of machine learning technology is also important not only because hardware costs are getting cheaper and more powerful, but free software surges that machine learning is easily deployed on stand-alone or large-scale clusters The diversity of machine learning libraries means that whatever language you like ...

"Editor's note" in the famous tweet debate: MicroServices vs. Monolithic, we shared the debate on the microservices of Netflix, Thougtworks and Etsy engineers. After watching the whole debate, perhaps a large majority of people will agree with the service-oriented architecture. In fact, however, MicroServices's implementation is not simple. So how do you build an efficient service-oriented architecture? Here we might as well look to mixrad ...

At the recently concluded Hadoop Europe Summit, Hortonworks announced version 2.1 of the Hortonworks Data Platform (HDP). The new version of the Hadoop distribution includes new enterprise features such as data governance, security, streaming and search, and takes the Stinger Initiative tool for interactive SQL queries to a whole new level. Jim Walker, director of product marketing at Hortonworks, said: "In order for Had ...

As the video becomes the Network Foundation application, a large number of enterprises need to use their own network platform for video promotion, and the media and education industries need to build their own online network platform.   Traditionally, companies need to spend a huge amount of money to buy bandwidth and servers, and then hire technology companies to build video management systems, and build an IT team to maintain and upgrade the system later, and finally the huge imbalance between inputs and outputs. Stone Mountain is in this context, hit the enterprise self-built online video platform Pain Point, Xu Ping in 2011 founded the Stone Mountain video. and Xu ...

"Editor's note" This blog author Luke Lovett is the MongoDB company's Java engineer, he demonstrated MONGO connector after 2 years of development after the metamorphosis-complete connector at both ends of the synchronization update. , Luke also shows how to implement fuzzy matching by Elasticsearch. The following is a translation: the introduction assumes that you are running MongoDB. Great, now that you have an exact match for all the queries that are based on the database. Now, imagine that you're building a text search work in your application ...