Solr Example

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The disadvantage of LUCENE/SOLR

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 、...

Deploy your own search engine to achieve keyword optimization

Intermediary trading http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnosis Taobao guest cloud host technology Hall often see webmaster friends to discuss keyword optimization, also saw webmaster friends" accumulate "keyword.   Here for you to share a use of the search engine to do keyword optimization experience. Statement: This experience is applicable to a certain technical capacity of the station, requiring the server has a Java operating environment, such as JDK,TOMC ...

Nine Java-based search engine frameworks

In this very complicated information age of the Internet, we have learned how to use the powerful tool of search engine to find the target information. For example, you can search for Valentine's Day on Google to find a girlfriend, and you will also look for a regular Cosmetic medical institutions (although a large part of advertising liar). So if your own website system needs to enable users to search for some important information, and can be structured to show to the user, the following nine Java search engine framework to share may be able to help you. 1, Java full-text search lead ...

Talk about Hadoop and distributed Lucene

Lucene is the most used open source search engine. This article does not discuss how Lucene updates (http://issues.apache.org/jira/browse/LUCENE-1313) in real time, and how to modify the Lucene scoring mechanism to add such as PageRank scoring factor,     This article only discusses distributed Lucene. When it comes to Lucene, it's generally mentioned that Nutch,hadoop was first Doung Cu ...

How can you build an efficient service-oriented architecture?

"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 ...

Stone Mountain Video Application scenario and company future planning

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 ...

Choose the right hardware configuration for your Hadoop cluster

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

Using MONGO Connector and Elasticsearch to implement fuzzy matching

"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 ...

The technical revelation behind the Instagram 5 legendary Engineers (PPT)

Instagram 5 Legendary engineers behind the technical Revelation (PPT) published in 2013-03-28 22:13| Times Read | SOURCE csdn| 0 Reviews | Author Guo Shemei Postgresqlredismemcachedinstagram Open Source AWS Summary: Instagram, a photo-sharing app developer based on iOS and Android, with a unique operating philosophy, with only 5 engineers, Team A total of 13 people in the case of success to their own 7 ....

Gleasy chief architect Shike: Implementing distributed framework and middleware based on open source

Note: This article starts in CSDN, reprint please indicate the source. "Editor's note" in this article for the online Office platform Gleasy co-founder, technical team boss Shike wrote, he gave us to share the gleasy all the way to the technical combat. It is reported that the release of nearly three years of Gleasy, has successfully accumulated more than 50,000 enterprise users, in response to mass storage and high concurrency under the premise of a variety of basic problems in the solution of deep experience. At the same time, March 18, 2015, Gleasy will officially release the 3.0 edition "about", and the introduction of English version, complex ...

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