Gregory Szorc's Digital Home | Better Compression with ...

07-03-2017·The ~338 MB/s speed for single-threaded compression on zstd level 1 increases to ~1,376 MB/s with 4 threads. That's ~4.06x faster. And, it is ~2.26x faster than the previous fastest entry, LZ4 at level 1! The output size only increased by ~4 MB or ~0.3% over single-threaded compression.

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Compression: Putting the Squeeze on Storage

02-09-2020·Snappy (2011) LZ4 (2013) Xpress (2014) Facebook DEFLATE (1996) Speed Balanced with High ... Compression performance vs ratio* zlib-1 zlib-9 lz4fast-3 lz4hc-12 zstd-1 zstd-18 zstd-22 brotli-0 brotli-11 lzma-0 lzma-9 0% 10% ... §Compression saves space, bandwidth, and improves total cost of ownership §Some types of data can be ...

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(PDF) An Intelligent, Adaptive, and Flexible Data ...

Snappy, SPDP [11] , LZO, ... Type brotli bsc bzip2 lz4 lzma lzo huffman pithy quicklz snappy zlib Best. Compression . ... In all test configurations the total data size of the input.

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zram lz4 和 lzo 算法性能评估比较_qkhhyga2016的博客-CSDN博客

本次评估是基于高通660 平台,Arm 64 位处理器,其中有 8 个核,4个小核 1.8G 频率,4个大核 2.2G 频率 ,主要对比 zram 的两个主流的压缩算法的性能差别。由于前段时间在看工作中发现这个平台默认只使用 lzo,但在社区上早就有了 lz4 的算法,且性能要比 lzo 算法在读方面要好 3 倍,于是就搜了一下 lz4 ...

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The impact of columnar file formats on SQL‐on‐hadoop ...

The Snappy configuration takes 51 min. and 4.7 GB total Input compared to 29 min. and 5 GB total input with the No Compression configuration. Both configurations have 4 Spark stages, but stage 1 with Snappy is not performing the same operations as already mentioned above.

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Comparison of Compression Algorithms - LinuxReviews

GNU/Linux and *BSD has a wide range of compression algorithms available for file archiving purposes. There's gzip, bzip2, xz, lzip, lzma, lzop and less free tools like rar, zip, arc to choose from. Knowing which one to use can be so confusing. Here's an attempt to give you an idea how the various choices compare.

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Gregory Szorc's Digital Home | Better Compression with ...

07-03-2017·The ~338 MB/s speed for single-threaded compression on zstd level 1 increases to ~1,376 MB/s with 4 threads. That's ~4.06x faster. And, it is ~2.26x faster than the previous fastest entry, LZ4 at level 1! The output size only increased by ~4 MB or ~0.3% over single-threaded compression.

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Big Data and Cloud Tips: Comparing ORC vs Parquet Data ...

01-10-2016·These are the steps involved. The same steps are applicable to ORC also. Simply, replace Parquet with ORC. Behind the scenes a MapReduce job will be run which will convert the CSV to the appropriate format. - Create a Hive table (ontime) - Map the ontime table to the CSV data. - Create a Hive table ontime_parquet and specify the format as Parquet.

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『sleepcoding - LZO vs Snappy vs LZF vs ZLIB, A …

sleepcoding - LZO vs Snappy vs LZF vs ZLIB, A comparison of... テクノロジー カテゴリーの変更を依頼 記事元: agaoglu.tumblr 適切な情報に変更

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Leveraging the Bandwidth of OpenCAPI with Reconfigurable Logic

1 Leveraging the Bandwidth of OpenCAPI with Reconfigurable Logic Authors: Jian Fang1, Yvo T.B. Mulder1, Kangli Huang1, Yang Qiao1, Xianwei Zeng1, 2Jan Hidders , Jinho Lee3, H. Peter Hofstee1,3 OpenPOWER Academic Discussion Group Workshop 2017, Denver, USA

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Greg Tucker, Intel

Deflate (aka zlib, gzip, pkzip, etc) • Lossless compression • Ubiquitous adoption v2.18: ISA-L Level-1 Deflate • 5X greater throughput than zlib -1 • 13% better compression ratio than lz4 and lzo v2.17: Optimized Decompression • >2X throughput vs. zlib, equal to lzo • Fully compatible with zlib …

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The impact of columnar file formats on SQL‐on‐hadoop ...

The Snappy configuration takes 51 min. and 4.7 GB total Input compared to 29 min. and 5 GB total input with the No Compression configuration. Both configurations have 4 Spark stages, but stage 1 with Snappy is not performing the same operations as already mentioned above.

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1. Data Modeling in Hadoop - Hadoop Application ...

1. Data Modeling in Hadoop - Hadoop Application Architectures [Book] Chapter 1. Data Modeling in Hadoop. At its core, Hadoop is a distributed data store that provides a platform for implementing powerful parallel processing frameworks. The reliability of this data store when it comes to storing massive volumes of data, coupled with its ...

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Compression: Putting the Squeeze on Storage

02-09-2020·Snappy (2011) LZ4 (2013) Xpress (2014) Facebook DEFLATE (1996) Speed Balanced with High ... Compression performance vs ratio* zlib-1 zlib-9 lz4fast-3 lz4hc-12 zstd-1 zstd-18 zstd-22 brotli-0 brotli-11 lzma-0 lzma-9 0% 10% ... §Compression saves space, bandwidth, and improves total cost of ownership §Some types of data can be ...

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Difference: LZ77 vs. LZ4 vs. LZ4HC (compression algorithms ...

09-05-2020·It's in a family with, for example, snappy and LZO. The natural comparison point is zlib's DEFLATE algorithm, which uses LZ77 and Huffman coding and is used in gzip, the .ZIP and .PNG formats, and too many other places to count. These fast compressors differ because:

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Greg Tucker, Intel

Deflate (aka zlib, gzip, pkzip, etc) • Lossless compression • Ubiquitous adoption v2.18: ISA-L Level-1 Deflate • 5X greater throughput than zlib -1 • 13% better compression ratio than lz4 and lzo v2.17: Optimized Decompression • >2X throughput vs. zlib, equal to lzo • Fully compatible with zlib …

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Leveraging the Bandwidth of OpenCAPI with Reconfigurable Logic

1 Leveraging the Bandwidth of OpenCAPI with Reconfigurable Logic Authors: Jian Fang1, Yvo T.B. Mulder1, Kangli Huang1, Yang Qiao1, Xianwei Zeng1, 2Jan Hidders , Jinho Lee3, H. Peter Hofstee1,3 OpenPOWER Academic Discussion Group Workshop 2017, Denver, USA

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Comparison of Compression Algorithms - LinuxReviews

GNU/Linux and *BSD has a wide range of compression algorithms available for file archiving purposes. There's gzip, bzip2, xz, lzip, lzma, lzop and less free tools like rar, zip, arc to choose from. Knowing which one to use can be so confusing. Here's an attempt to give you an idea how the various choices compare.

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Compression: Putting the Squeeze on Storage

02-09-2020·Snappy (2011) LZ4 (2013) Xpress (2014) Facebook DEFLATE (1996) Speed Balanced with High ... Compression performance vs ratio* zlib-1 zlib-9 lz4fast-3 lz4hc-12 zstd-1 zstd-18 zstd-22 brotli-0 brotli-11 lzma-0 lzma-9 0% 10% ... §Compression saves space, bandwidth, and improves total cost of ownership §Some types of data can be ...

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SiLK Installation Handbook SiLK-3.19.1 - CERT

16-04-2020·lzo lzo-devel pcap pcap-devel python python-devel snappy snappy-devel zlib zlib-devel; 1.2 Upgrading SiLK. New releases of SiLK are always capable of reading SiLK Flow data files created by previous releases of SiLK, and support for nearly all other SiLK file formats is …

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Difference: LZ77 vs. LZ4 vs. LZ4HC (compression algorithms ...

09-05-2020·It's in a family with, for example, snappy and LZO. The natural comparison point is zlib's DEFLATE algorithm, which uses LZ77 and Huffman coding and is used in gzip, the .ZIP and .PNG formats, and too many other places to count. These fast compressors differ because:

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SiLK Installation Handbook SiLK-3.19.1 - CERT

16-04-2020·lzo lzo-devel pcap pcap-devel python python-devel snappy snappy-devel zlib zlib-devel; 1.2 Upgrading SiLK. New releases of SiLK are always capable of reading SiLK Flow data files created by previous releases of SiLK, and support for nearly all other SiLK file formats is …

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snappy/snappy-test.h at master · google/snappy · GitHub

Google Test seems to be the most happy with unknown arguments, // though, so we call it first and hope for the best. # define InitGoogle ( argv0, argc, argv, remove_flags) \. google::ParseCommandLineFlags (argc, argv, remove_flags);

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Newest 'lzo' Questions - Stack Overflow

I have compiled the original codes of lzo by cmake and I tried to debug the VS project lzo.sin,but the hint of VS ... c zlib compression lzo. asked Mar 8 '18 at 12:17. aja. 99 1 1 silver ... SQL to write parquet file. By default Spark SQL supports gzip, but it also supports other compression formats like snappy and lzo. What is the difference ...

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Spark SQL - difference between gzip vs snappy vs lzo ...

03-03-2016·Snappy or LZO are a better choice for hot data, which is accessed frequently. Snappy often performs better than LZO. It is worth running tests to see if you detect a significant difference. Splittablity : If you need your compressed data to be splittable, BZip2, LZO, and Snappy formats are splittable, but GZip is not.

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Big Data:Choosing a Compression Algorithm (Gzip vs …

03-03-2017·Choosing different file compression formats for big data projects Gzip vs Snappy vs LZO)Video Agenda:Why Trade off: CPU vs IO Performance & Throughput consi...

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