In the era of big data, the amount of data is exploding. Massive small data has become a very typical data application, such as some picture websites, which may need to process hundreds of millions of picture materials every day. Traditional file systems are difficult to deal with the application scenarios of massive small files efficiently, and there are many problems in the operations of reading, storing and transmitting files. Challenge 1: Low file reading performance and difficulty in file retrieval A large number of concurrent random disk accesses greatly reduce the efficiency of disk operation and delay data access. It is much more difficult to retrieve the corresponding files in the voluminous document database, and the time-consuming of business operation is high, even the files can not be opened. Challenge 2: The amount of data is too large and the storage cost is high The data generated in the production process of an enterprise has a very important business value. When we gather a large number of scattered small files together, we will form a complete asset view and business view. However, due to the immature storage technology and high storage cost, a large amount of data has been discarded before it can bring its value into play. Challenge 3: Massive small files are transferred slowly and the transfer performance is poor Traditional transfer tools can't stand the accumulated data. In addition, due to the influence of transfer distance, network environment, and the size of transfer files, packet loss and delay often occurs, which slows down the business process. Challenge 4: Massive data management is difficult Enterprises continuously generate data increment every day, which makes it difficult to manage massive files. Backing up data, deleting files and sorting data will consume a lot of system resources every day. Raysync solves the data transfer problem of enterprises with its excellent transfer performance. Intelligent optimization technology of disk I/O Any file can achieve the optimal transfer speed with minimal system software overhead. Disk I/O accesses many files randomly with extremely high reading speed. Support mainstream public cloud object storage Support free switching between local storage and tripartite cloud platform storage, so that huge data can play its value and will not be discarded. More efficient and stable transmission performance Raysync transfer protocol can quickly and parallelly transfer multiple data streams through the characteristics of multiple parallel channels, and the transfer speed is 10-100 times higher than FTP. Enterprise-level stability and reliability Breakpoint resume, automatic retransfer and multiple file verification mechanism ensure the integrity and accuracy of massive small file transfer, and the transfer efficiency in ultra-remote and weak network environment is stable and reliable.
In life, various applications such as Internet social networking, audio and video, e-commerce, scientific experiments, and so on are constantly producing tens of millions, hundreds of millions, or even tens of billions of small files. The understanding of massive small files is usually defined by quantification. Files with a size of less than 1MB are called small files, and those with a number of millions or more are called lots of small files . Difficulties in small file transfer The transfer of massive small files is quite different from that of large files. The performance consumption and bottleneck of transferring large files are attributed to bandwidth, while the transfer of massive small files is different. Because the filehandle needs to be opened/closed frequently in the transfer of massive small files, but there is very little content to read and write after the files are opened, the bottleneck of the transfer of massive small files lies in IO performance. Mass small file transfer is a recognized problem in scientific and technological circles, and many technicians have been working hard for it. The following are two solutions given by Raysync, the leading brand of enterprise-level large file transfer. Breakthrough point of massive small file transfer solution 1. I/O read-write optimization technology I/O Input/Output, Raysync utilizes excellent I/O read-write optimization technology , supports up to 5000 read-write capacity per second, provides efficient support for massive small files, and provides high-speed transfer support services for massive files. 2. High-speed Transfer Protocol Raysync has independently developed high-speed transfer protocol, which breaks through the transfer defects of traditional FTP and HTTP and can effectively improve the existing transfer efficiency, reaching more than 100 times the traditional data transfer efficiency, ensuring the high-frequency and extremely fast transfer of massive small file data.
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