Mongodb Near Example

"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 ...

Guide: Mike Loukides is the vice president of the content strategy of O ' Reilly Media, and he is very interested in programming languages and UNIX system management, with system configured tuning and UNIX power Tools. In this article, Mike Loukides put forward his insightful insights into nosql and thought deeply about all aspects of modern database architecture. In a conversation last year, Basho, CTO of the company, Justin Sheehy, recognized ...

It is easy to compare the cost of cloud computing vendors, but it is not easy to compare the performance of the application. A performance comparison of the different types of database applications running in the same cloud or across different cloud computing environments will be a particularly challenging task. The Yahoo Cloud computing Service Benchmark (YCSB) is a test framework designed to help users understand the performance of different cloud computing databases and store data performance under actual load. The source code for this test framework is available from the GitHub download. Yahoo cloud services benchmark tools include ...

Cost comparisons are easy for cloud computing providers, but performance comparisons for applications are not as simple as comparing performance comparisons of the different types of database applications running in the same cloud or across different cloud computing environments. The Yahoo Cloud computing Service Benchmark (YCSB) is a test framework designed to help users understand the performance of different cloud computing databases and store data performance under actual load. The source code for this test framework is available from the GitHub download. Yahoo cloud services benchmark tools include ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

"Editor's note" predicts the future is a very crazy thing, and now the development of enterprise technology is always beyond our imagination. Eric Knorr, InfoWorld's editor-in-chief, predicts that 9 of the big technologies will be in place in 2015 or in the coming years. He believes that open source is the first choice for enterprises to obtain competitive advantage, as a developer should pay attention to technical hotspots, and around the core technology to build a similar docker, Hadoop and other ecosystems. The following is: 1. The public cloud will be successful this year, IaaS and PAAs of the melt ...

With large data growing in data centers and cloud environments, how to manage networks that transmit millions of of records at the same time is an unprecedented problem. This is not just a matter of data size--when it comes to large data network solutions, not only is the size of the data really negligible, but so does the workload. Large data environments do not simply operate on the basis of past data infrastructures. Given the complexity and speed of running large data application software, large data needs to be tailored to its own solution. The "traditional" data analysis architecture assumes a limited source of data, and they have ...

Foreign media recently published an article that 37 years, Ellison (Larry Ellison) is called the Enterprise Reengineering Master, lead Oracle to walk through a technical change. But now, the global database giant he created is facing unprecedented challenges, and Mr. Ellison's outgoing CEO will only exacerbate the central question about the company's future: Can Oracle overcome the structural shift in the industry that has reshaped markets in recent years? Ellison was handed over to two co-CEO Hurd (Mark Hurd) and Savera Car ...

The document database of NoSQL database technical characteristics Today's cloud computing practitioners are not unfamiliar with the term nosql, though many technicians have long been working on relational databases, but now they are looking forward to nosql technology. The transition from relational to NoSQL databases is definitely a big change to be considered for businesses. This involves not only the changes in software, but also the conceptual changes in data storage. Most non-relational databases have fast and scalable features. By discarding relational storage models and schemas, relationships ...