Solr Add Core

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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 、...

Large data architecture-configure storage and indexing with HBase and SOLR

HBase and SOLR can make requests to solr through a coprocessor coprocessor, and SOLR can synchronize the data that is received: adding, deleting, and indexing operations.     Store and index on different machines, this is a large data architecture must be, but there are many students do not know this way, they are very new to this idea, however, this is definitely a good direction, so do not know how to study. One of my friends left my blog.

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 ...

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 ....

What are the major data engineers in the United States interview strategy?

Hello everyone, I am from Silicon Valley Dong Fei, at the invitation of domestic friends, very happy to communicate with you about the U.S. Big Data Engineers interview strategy. Personal introduction to do a self-introduction, after the undergraduate Nankai, joined a start-up company Kuxun, do real-time information retrieval, and then enter the Baidu Infrastructure group, built the Baidu APP engine earlier version, and then went to Duke University, in the study, during the master's degree, Starfish, a research project related to Hadoop's big data, and then Amazon ...

Data scientists are getting hotter?

Now, many industries have started to find the right person for a new data technology-related position, which is data scientists. With the participation of big-name companies such as Facebook, Google, StumbleUpon and PayPal, data scientists have become increasingly hot on the job. This kind of talented person can skillfully combine the business, analytical work and computer skill, bring us unprecedented enterprise productivity promotion and blank filling function. Facebook "In this position, you will be a software engineer and measurement researcher ...

Smash bubble talk about development, inventory OpenStack Business Eco-circle!

"Editor's note" OpenStack Paris summit just ended, some participants feel is: the manufacturers look at each other, not many users. Also some people are asking: OpenStack in the end rely on not reliable, have got the case of shot? In this article, Unitedstack founder and CEO Chenghui in the Paris summit, the OpenStack Ecological circle of commercial companies in the inventory. Chenghui said: "OpenStack has been too high expectations of the peak, is experiencing a bubble in the bottom of the valley, for startups, this is the hardest time, this is the most ...

Implement your own recommendation engine based on Lucene

Using the algorithm based on data mining to realize recommendation engine is the most common method of E-commerce website, SNS community, recommended engine commonly used content-based recommendation algorithm and collaborative filtering algorithm (item-based, user-based in e-commerce recommendation System Entry v2.0, The introduction of e-commerce recommendation system has been elaborated. But from the practical application, for most small and medium-sized enterprises, it is very difficult to adopt the above algorithm in the electronic commerce system. 1, commonly used recommendation engine algorithm problem 1, relatively mature, complete ...

HBase usage Scenarios and success stories

Sometimes the best way to learn about a software product is to see how it is used. It can solve what problems and how these solutions apply to large application architectures that can tell you a lot. Because HBase has a lot of open product deployments, we can do just that.   This section describes in detail some of the scenarios in which people successfully use HBase. Note: Do not limit yourself to the belief that hbase can only solve these usage scenarios. It is a nascent technology, and innovation based on the use of the scene is driving the development of the system. If you have new ideas, think you can benefit from HBAs ...

Docker related technologies that are now evolving rapidly

Docker is undoubtedly the most popular open-source technology this year, and Docker is now the darling of entrepreneurs and innovators in the IT world. Regardless of Google, Microsoft, Amazon, IBM and other technology manufacturers are actively supporting Docker technology, Docker although the introduction and use is very simple, but the whole ecosystem is quite large, and its underlying technology is also very complex, the current based on Docker technology projects springing up, today, The author summarizes the rapid evolution of the Docker related technology, to share with you. Kubernet ...

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