string compression

As a database, in the system resources (CPU, memory, SSD, disk, etc.) certain premise, we want to: stored data more: using compression, the world has a variety of compression algorithms; Faster access: faster compression (write)/extract

Before introducing image compression encoding, consider the following question: why compression? You don't need to answer this question. Because the amount of data in the image information is amazing. For example, we can see that the data volume of

Introduction There are two main compression algorithms: lossy and lossless. Lossy compression algorithms reduce files by removing small details that require a large amount of data to be stored under fidelity conditions. In lossy compression, it is

Lossless data compression is a wonderful thing to think about, a string of arbitrary data can be converted to the original 1/2-1/5 length of data, and can follow the corresponding rules to revert to the original appearance, sounds really cool.Six

[Guide]What are the differences between data compression and deduplication? In practice, how can we apply it correctly? I have not studied the principles and technologies of Data Compression before, so I did some homework, read and sort out relevant

In-depth parsing of Data Compression Algorithms   Preface Before starting this article, let's review the previous article. The previous article explains two types of data compression algorithms: The Huffman compression algorithm and the RLE

Address: http://tech.watchstor.com/management-115343.htm Abstract:LZW CompressionAlgorithmIt is a novel compression method created by lemple-Ziv-Welch and named by their names. It is amazing that the string table can be correctly created

Original URL: http://blog.csdn.net/newchenxf/article/details/51693753Reprint please indicate the source. 1 Why images can be compressed An original image (1920x1080), if each pixel is 32bit (RGBA), then the memory size required by the

Learning about the Hadoop Compression decompression Architecture The Compressor decompression module of Hadoop is another major module in the Hadoop Common IO module. Although in real life, there are not so many scenarios where we use compression

Data | compression SummaryIf your application has never used compression, then you are lucky. The good news for another part of the developer who uses compression is that. NET 2.0 now offers two classes to handle compression and decompression issues.