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Richard Chapman b211eedc6b Merge branch 'candidate-7.8.x' 5 年 前
.github 598defe8a0 HPCC-23358 Publish each gold/rc release images to Docker Hub 5 年 前
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 9 年 前
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development 10 年 前
clienttools 250097ffbc HPCC-20550 remove target ESDL service name in ESDL. 6 年 前
cmake_modules e7020ed8c2 Merge branch 'candidate-7.8.x' 5 年 前
common 6528be5f4d HPCC-24040 runExternalCommand is a bit verbose 5 年 前
configuration 28b0f1504c centos 6 workaround for 7.6.0 5 年 前
dali b5cbbfa947 Merge branch 'candidate-7.8.x' 5 年 前
deploy 1b5f9692cb HPCC-19467 Fix problems with windows stand alone compiling 7 年 前
deployment 2195b16127 HPCC-23582 fix envgen2 usage typo 5 年 前
devdoc 88e1bd2280 HPCC-20089 Rationalize and consolidate the developer documentation 7 年 前
devel cdbf9bb329 HPCC-23036 DistributePKI and safe_pki 5 年 前
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ecl b5cbbfa947 Merge branch 'candidate-7.8.x' 5 年 前
ecllibrary 61e34eb490 HPCC-24002 Update Std.DataPatterns to version 1.6.5 5 年 前
esp cca7dcd044 Merge branch 'candidate-7.8.x' 5 年 前
fs 8f9caaf525 HPCC-23644 Containerized component logging logic 5 年 前
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initfiles bc2f64a8d3 HPCC-24083 Allow dali and hpcc data to be placed in different directories 5 年 前
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misc 66e814cdf0 HPCC-9508 Add eclipse code layout settings file to project 12 年 前
package dd10b3c3be HPCC-16491 Work-around CMake productbuild packaging issue 8 年 前
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.gitattributes 2241da2000 HPCC-17425 Various fixes for running HPCC in windows linux subsystem 8 年 前
.gitignore e93161d906 HPCC-23289 EclWatch option to override debug server 5 年 前
.gitmodules 53b580989a HPCC-23632 Move the AWS support libraries 5 年 前
BUILD_ME.md 910c676afe HPCC-19056 Update build instructions 5 年 前
CMakeLists.txt ac3f184920 HPCC-24104 remove trademark in VENDOR on Windows 5 年 前
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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® 9 年 前
R-LICENSE.txt 41fdcf477c HPCC-14457 Split R plugin to its own package 9 年 前
README.md 1ec7f8ed88 Fix memory manager link 6 年 前
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baseaddr.txt c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 9 年 前
build-config.h.cmake 08fd95330b HPCC-9902 Use the build version as the ecl version reported by eclcc 11 年 前
cmake-vs2015.bat 5db236fc6e HPCC-20752 Build and run HPCC in VS 2015 6 年 前
cmake_uninstall.cmake.in 2ae8bdcd44 HPCC-15142 Minimal changes needed for DESTDIR 8 年 前
hpcc.png a59ea3ce9c HPCC-23354 Supply an example helm chart and other docs 5 年 前
package-lock.json 4a7ea76b58 HPCC-19093 Update to latest hpcc-js 7 年 前
version.cmake a073dae0a1 Split off candidate-7.8.x 5 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: