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Richard Chapman fe3db2e031 Merge pull request #11095 from ghalliday/issue17698 7 年 前
.github 90b33faa94 HPCC-18020 Add new option to pull request template 8 年 前
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 年 前
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development 10 年 前
clienttools 3a56cf9118 HPCC-18718 Back-compatiibility issues with python2 plugin 7 年 前
cmake_modules d5a500d8f8 HPCC-19463 Add option USE_DIGISIGN 7 年 前
common 7e08de5843 Merge pull request #11076 from richardkchapman/jhtree-overrides 7 年 前
configuration 60de78d0c4 Merge pull request #10886 from kenrowland/hpcc-18324 7 年 前
dali 17783be02d Merge pull request #11079 from AttilaVamos/HPCC-19557-fix-6.4.16 7 年 前
deploy c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 年 前
deployment 51fb37e139 Merge pull request #10580 from wangkx/h18517 7 年 前
docs 06be0f3d5f HPCC-19382 DOCS: Fix Anagram example 7 年 前
ecl bc819950fe HPCC-19563 COMPRESSED(ROW) issues 7 年 前
ecllibrary 82e9d3aa85 HPCC-16883 Add time zone support to Std.Date 7 年 前
esp 4544840d7e HPCC-19568 Declare ESPcfg class as export 7 年 前
githooks 4ba38f7d01 Merge remote-tracking branch 'origin/candidate-3.10.x' 12 年 前
initfiles 32067d2518 Merge pull request #11083 from g-pan/H19532-DElk 7 年 前
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package dd10b3c3be HPCC-16491 Work-around CMake productbuild packaging issue 8 年 前
plugins 5db38bc76e Merge pull request #10970 from richardkchapman/update-cassandra-libuv 7 年 前
roxie d0b0b9a217 HPCC-17698 Ensure roxie prefixes graph with wfid 7 年 前
rtl 870ace1037 HPCC-19544 Move code from CKeyLevelManager to CKeyCursor 7 年 前
services f9e38f2f46 HPCC-18585 Replace uses of rand() with fastRand() 7 年 前
system bc819950fe HPCC-19563 COMPRESSED(ROW) issues 7 年 前
testing bc819950fe HPCC-19563 COMPRESSED(ROW) issues 7 年 前
thorlcr 1de8bbebf3 HPCC-19516 keyed join manager not correctly added/removed from cache 7 年 前
tools f858e23edc Merge pull request #10832 from rpastrana/HPCC-15037-ESP-Detach3 7 年 前
.gitattributes 2241da2000 HPCC-17425 Various fixes for running HPCC in windows linux subsystem 8 年 前
.gitignore 0550ad53ae HPCC-17851 New config manager core library 7 年 前
.gitmodules 800b472e3d HPCC-18512 Update ECL Watch stats to use WebPack 7 年 前
.travis.yml 9aba0126bc HPCC-18512 Switch to WebPack for ECL Watch build 7 年 前
BUILD_ME.md 3bc3658b09 HPCC-19312 Update to latest cassandra driver 7 年 前
CMakeLists.txt 827439f26b HPCC-19149 Fix windows build problems 7 年 前
CNAME 996619b9ea Add CNAME entry for GitHub pages redirection 14 年 前
CONTRIBUTORS c04b2a38e0 HPCC-16014 Contributors file needs some refreshing 8 年 前
FUTURE b39eb133f9 Initial version of FUTURE document 13 年 前
LICENSE.txt c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 年 前
R-LICENSE.txt 41fdcf477c HPCC-14457 Split R plugin to its own package 9 年 前
README.md c0253694b9 Merge branch 'candidate-6.4.0' 8 年 前
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build-config.h.cmake 08fd95330b HPCC-9902 Use the build version as the ecl version reported by eclcc 11 年 前
cmake_uninstall.cmake.in 2ae8bdcd44 HPCC-15142 Minimal changes needed for DESTDIR 8 年 前
package-lock.json 4a7ea76b58 HPCC-19093 Update to latest hpcc-js 7 年 前
sourcedoc.xml c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 年 前
version.cmake 947fe84327 Split off candidate-6.4.0 8 年 前

README.md

Description / Rationale

HPCC Systems offers an enterprise ready, open source supercomputing platform to solve big data problems. As compared to Hadoop, the platform offers analysis of big data using less code and less nodes for greater efficiencies and offers a single programming language, a single platform and a single architecture for efficient processing. HPCC Systems is a technology division of LexisNexis Risk Solutions.

Getting Started

Architecture

The HPCC Systems architecture incorporates the Thor and Roxie clusters as well as common middleware components, an external communications layer, client interfaces which provide both end-user services and system management tools, and auxiliary components to support monitoring and to facilitate loading and storing of filesystem data from external sources. An HPCC environment can include only Thor clusters, or both Thor and Roxie clusters. Each of these cluster types is described in more detail in the following sections below the architecture diagram.

Thor

Thor (the Data Refinery Cluster) is responsible for consuming vast amounts of data, transforming, linking and indexing that data. It functions as a distributed file system with parallel processing power spread across the nodes. A cluster can scale from a single node to thousands of nodes.

  • Single-threaded
  • Distributed parallel processing
  • Distributed file system
  • Powerful parallel processing programming language (ECL)
  • Optimized for Extraction, Transformation, Loading, Sorting, Indexing and Linking
  • Scales from 1-1000s of nodes

Roxie

Roxie (the Query Cluster) provides separate high-performance online query processing and data warehouse capabilities. Roxie (Rapid Online XML Inquiry Engine) is the data delivery engine used in HPCC to serve data quickly and can support many thousands of requests per node per second.

  • Multi-threaded
  • Distributed parallel processing
  • Distributed file system
  • Powerful parallel processing programming language (ECL)
  • Optimized for concurrent query processing
  • Scales from 1-1000s of nodes

ECL

ECL (Enterprise Control Language) is the powerful programming language that is ideally suited for the manipulation of Big Data.

  • Transparent and implicitly parallel programming language
  • Non-procedural and dataflow oriented
  • Modular, reusable, extensible syntax
  • Combines data representation and algorithm implementation
  • Easily extend using C++ libraries
  • ECL is compiled into optimized C++

ECL IDE

ECL IDE is a modern IDE used to code, debug and monitor ECL programs.

  • Access to shared source code repositories
  • Complete development, debugging and testing environment for developing ECL dataflow programs
  • Access to the ECLWatch tool is built-in, allowing developers to watch job graphs as they are executing
  • Access to current and historical job workunits

ESP

ESP (Enterprise Services Platform) provides an easy to use interface to access ECL queries using XML, HTTP, SOAP and REST.

  • Standards-based interface to access ECL functions

Developer documentation

The following links describe the structure of the system and detail some of the key components: