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ИН на ревизия: abf2020d3f
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Big-Data-HPC...
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Gavin Halliday abf2020d3f Merge pull request #9066 from jakesmith/hpcc-16051b преди 9 години
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® преди 10 години
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development преди 10 години
clienttools c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® преди 10 години
cmake_modules ddbd371b81 Merge pull request #9034 from Michael-Gardner/HPCC-16124 преди 9 години
common d9d15d2bca Merge pull request #8985 from ghalliday/issue16018 преди 9 години
dali f583b9e4fc HPCC-16132 Missing foreign subfiles cause problems to superfile ops. преди 9 години
deploy c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® преди 10 години
deployment 551a9e9853 HPCC-16227 Configmgr crash generating new xml преди 9 години
docs a8c856e330 Merge branch 'candidate-6.0.6' преди 9 години
ecl ddbd371b81 Merge pull request #9034 from Michael-Gardner/HPCC-16124 преди 9 години
ecllibrary 3ab2d8ba85 HPCC-15767 Remove calls to isPure() преди 9 години
esp cc8e57ed31 Merge pull request #9048 from rpastrana/HPCC-16181-DESDL-ConfigPassThrough преди 9 години
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lib2 96610805d9 HPCC-16088 Excessive calls to install_name_tool преди 9 години
misc 66e814cdf0 HPCC-9508 Add eclipse code layout settings file to project преди 12 години
plugins 2ff87d2a62 Merge branch 'candidate-6.0.6' преди 9 години
roxie d681496d88 Merge pull request #9069 from richardkchapman/roxie-lazyfileio преди 9 години
rtl 98dd41f618 HPCC-15995 Allow heapflags to be configured in thor преди 9 години
services 40a6995017 HPCC-16103 Removed logging from common/remote/rmtssh.cpp преди 9 години
system cbcae1fd68 HPCC-16223 Fix CMPChannel object leak преди 9 години
testing 11fc4cda62 HPCC-10132 Implement constant rhs for lookup/smart join преди 9 години
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tools 98dd41f618 HPCC-15995 Allow heapflags to be configured in thor преди 9 години
.gitattributes 7f4953af04 Issue #254 Switches template reading to use jlib преди 14 години
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BUILD_ME.md fb5d21dc72 HPCC-13515 A proper README.md, moving old README.md -> BUILD_ME.md преди 10 години
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R-LICENSE.txt 41fdcf477c HPCC-14457 Split R plugin to its own package преди 9 години
README.md fb5d21dc72 HPCC-13515 A proper README.md, moving old README.md -> BUILD_ME.md преди 10 години
VERSIONS 04760b84cc Preparation for 6.0.0-beta1 release преди 9 години
baseaddr.txt c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® преди 10 години
build-config.h.cmake 08fd95330b HPCC-9902 Use the build version as the ecl version reported by eclcc преди 12 години
cmake_uninstall.cmake.in 2ae8bdcd44 HPCC-15142 Minimal changes needed for DESTDIR преди 9 години
sourcedoc.xml c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® преди 10 години
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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