Postgresql Exists

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Dbkiss v1.09 Publish a single PHP file to make up a database browsing tool

Dbkiss is a database browsing tool made up of a single PHP file that supports MySQL and PostgreSQL databases, supports the import and export of data, can search the entire database or a single table, and provides an advanced SQL Editor, template retention, Multiple queries perform functions at the same time. Dbkiss is a one-file PHP database browser which is easy to upload and use. It su ...

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

Discard relational database PHP programmers should know five things about MongoDB

"51CTO exclusive feature" 2010 should be remembered, because the SQL will die in the year. This year's relational database is on the go, and this year developers find that they don't need long, laborious construction columns or tables to store data. 2010 will be the starting year for a document database. Although the momentum has been going on for years, now is the age when more and more extensive document databases appear. From cloud-based Amazon to Google, a number of open-source tools, along with the birth of Couchdb and MongoDB. So what ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

The engineering and technical secrets behind Instagram success

Instagram is a model for many startups, with more than 10 of companies, from the beginning of obscurity to the end of a hefty takeover by Facebook. How does a company, from the beginning of the operating system selection, server to database selection, message push, how to do? This article compiles from the Instagram engineering blog, tells you Instagram technical secret. When choosing a system, our core principles are: Try to be as simple as possible, do not do repetitive work, and try to adopt proven technology. Operating system/Hosting because we were only three.

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

Summary of MySQL database optimization method

Intermediary transaction SEO diagnose Taobao guest Cloud host technology Lobby database optimization is a very complex task, because it ultimately requires a good understanding of system optimization.   Even though the system or application system does not know much about the optimization effect is good, but if you want to optimize the effect of better, then you need to know more about it. 1, the optimization of the system to run faster the most important factor is the basic design of the database.   And you have to be aware of what your system is going to do, and the bottlenecks that exist. The most common system bottlenecks are as follows: ...

Build highly available MongoDB clusters

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

5 things to know before using Redis

Using Redis to develop applications is a pleasant process, but as with other technologies, you need to remember a few things as well, based on Redis application design. Before, you might have a chest of the whole pattern of relational database development, and REDIS application development has many similarities, but you have to keep in mind that the following two points--redis is a memory database, and it is single-threaded. Therefore, when using Redis, you need to pay attention to the following points: 1. Master all key databases stored in Redis ...

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