Gzip Library

For some components, Hadoop provides its own local implementation, given the performance problems and the lack of some Java class libraries. These components are stored in a separate dynamically linked library of Hadoop. This library is called libhadoop.so on the Nix platform. This article mainly describes how to use the local library and how to build the local library. Component Hadoop now has the following compression codecs local components: Zlib gzip Lzo in the above components, LZO and gzip compression ...

Currently used in Hadoop more than four compression formats lzo, gzip, snappy, bzip2, the author based on practical experience to introduce the advantages and disadvantages of these four compression formats and application scenarios, so that we in practice according to the actual situation of choice Different compression formats. 1 gzip compression Advantages: compression ratio is relatively high, and the compression / decompression speed is faster; hadoop itself support, in the application of gzip format file processing and direct processing of the same text; have hadoop native library; most of the li ...

The big faceless PDF Library 2.11.19 This version of the Java 7 Validation API and fixes some Java 1.4 compatibility issues. Now including the JBIG2 class from Jpedal, are optimized. You no longer need to use "Jbig2dec" or include "Jbig2.jar" in your classpath. The speed of text extraction and the creation of PDFs has improved. Improve XFDF reading and writing. Blending mode is now available for rendering bitmap images. Propertycha ...

The Big faceless PDF Library is a Java class library for creating http://www.aliyun.com/zixun/aggregation/16864.html ">pdf documents. The current extended version provides the ability to create and edit Acroforms,pdf format conversions to HTML forms, pdf import reading and editing, support for FDF, digital signatures, and authenticated text extraction. PDF forms contain text boxes, radio buttons, and Javas ...

File compression has two main benefits, one is to reduce the space occupied by storage files, the other is to speed up the data transmission. In the context of Hadoop's big data, these two points are particularly important, so let me now look at the file compression in Hadoop. Hadoop supports a wide variety of compression formats, we look at a table: Deflate is also using the LZ77 algorithm and Huffman coding (Huffman http://www.aliyun.com/zixun/aggregation/1552.html ...

MOD_GNUTLS uses the GNUTLS library to provide http://www.aliyun.com/zixun/aggregation/14417.html ">apache SSL 3.0 and tls1.x protocols. In addition to the standard X.509 certificate certification, it provides authentication that supports the SRP and OPENPGP key authentication passwords. Mod_gnutls 0.5.10 This version fixes a bug that addresses mod_gnutls over consumption ...

Data tampering is to modify, add or delete computer network data, resulting in data destruction. The database data was attacked first to see if it was deleted or tampered with? Is there any backup data that can be restored and reinforced? This article comes from the database technical expert Zhang, mainly describes the MySQL attack tampering data, utilizes the Binlog from the library backup and the main library to carry on the incomplete recovery. The following is the author's original: First, the discovery of the problem today is 2014-09-26, development early in the morning that the database was attacked. The article in the database of an article table ...

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Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host Technology Hall recent Joseph Net project needs to carry on the front-end optimization, 　　Our front-end engineers naturally think of the yslow often mentioned several optimization of the Golden Rule, I hereby share some of the experience, superficial expression, the right to use when the exchange, laughed laughed! To optimize the front end, naturally from two places to focus, one is to reduce ...

This is the second of the Hadoop Best Practice series, and the last one is "10 best practices for Hadoop administrators." Mapruduce development is slightly more complicated for most programmers, and running a wordcount (the Hello Word program in Hadoop) is not only familiar with the Mapruduce model, but also the Linux commands (though there are Cygwin, But it's still a hassle to run mapruduce under windows ...