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Richard Chapman e39c174b34 Merge pull request #12414 from Michael-Gardner/HPCC-21649 %!s(int64=6) %!d(string=hai) anos
.github 90b33faa94 HPCC-18020 Add new option to pull request template %!s(int64=8) %!d(string=hai) anos
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® %!s(int64=10) %!d(string=hai) anos
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development %!s(int64=10) %!d(string=hai) anos
clienttools 250097ffbc HPCC-20550 remove target ESDL service name in ESDL. %!s(int64=6) %!d(string=hai) anos
cmake_modules 103056bd69 HPCC-21712 Antlr3c built from website-antlr3 submodule %!s(int64=6) %!d(string=hai) anos
common a3392ba31b Merge pull request #12391 from richardkchapman/hpcc-21854 %!s(int64=6) %!d(string=hai) anos
configuration 3c4c58ae4c HPCC-21845 Envch should write status to stderr %!s(int64=6) %!d(string=hai) anos
dali a5587a1afc HPCC-21847 Compile Roxie with all warnings as errors %!s(int64=6) %!d(string=hai) anos
deploy 1b5f9692cb HPCC-19467 Fix problems with windows stand alone compiling %!s(int64=7) %!d(string=hai) anos
deployment 52c00c08a7 HPCC-20802 Add Spark configuration support with envgen2 %!s(int64=6) %!d(string=hai) anos
devdoc 88e1bd2280 HPCC-20089 Rationalize and consolidate the developer documentation %!s(int64=7) %!d(string=hai) anos
docs 486db17928 Merge pull request #12408 from JamesDeFabia/HPCC-21606diskReadsAreSimple %!s(int64=6) %!d(string=hai) anos
ecl 8367e3efaa Merge pull request #12393 from richardkchapman/hpcc-21855 %!s(int64=6) %!d(string=hai) anos
ecllibrary cd6a278e51 Merge branch 'candidate-7.0.x' into candidate-7.2.x %!s(int64=6) %!d(string=hai) anos
esp dfa9107c89 Merge pull request #12410 from GordonSmith/HPCC-21763 %!s(int64=6) %!d(string=hai) anos
fs d3060fa008 HPCC-21814 Pass 'compressed' flag through fileID %!s(int64=6) %!d(string=hai) anos
githooks 4ba38f7d01 Merge remote-tracking branch 'origin/candidate-3.10.x' %!s(int64=12) %!d(string=hai) anos
initfiles 9f8a1ad0ff Merge pull request #12421 from RussWhitehead/newAdmin72x %!s(int64=6) %!d(string=hai) anos
lib2 3442ea019e HPCC-21600 copy ssl lib for building espscm %!s(int64=6) %!d(string=hai) anos
misc 66e814cdf0 HPCC-9508 Add eclipse code layout settings file to project %!s(int64=12) %!d(string=hai) anos
package dd10b3c3be HPCC-16491 Work-around CMake productbuild packaging issue %!s(int64=8) %!d(string=hai) anos
plugins 095d8281fe HPCC-21649 Update dfsclient and spark-hpcc release versions %!s(int64=6) %!d(string=hai) anos
roxie 3b4de90212 HPCC-21868 Compile Roxie with all warnings as errors %!s(int64=6) %!d(string=hai) anos
rtl 1775675a44 HPCC-21847 Compile Roxie with all warnings as errors %!s(int64=6) %!d(string=hai) anos
services f9e38f2f46 HPCC-18585 Replace uses of rand() with fastRand() %!s(int64=7) %!d(string=hai) anos
system 9f8a1ad0ff Merge pull request #12421 from RussWhitehead/newAdmin72x %!s(int64=6) %!d(string=hai) anos
testing 8367e3efaa Merge pull request #12393 from richardkchapman/hpcc-21855 %!s(int64=6) %!d(string=hai) anos
thorlcr 1464d3678b HPCC-21871 Ensure lazy file io objects removed from cache %!s(int64=6) %!d(string=hai) anos
tools 94ccebe7e4 HPCC-21719 Reorganize dafilesrv and client code %!s(int64=6) %!d(string=hai) anos
.gitattributes 2241da2000 HPCC-17425 Various fixes for running HPCC in windows linux subsystem %!s(int64=8) %!d(string=hai) anos
.gitignore 0550ad53ae HPCC-17851 New config manager core library %!s(int64=7) %!d(string=hai) anos
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.travis.yml 9aba0126bc HPCC-18512 Switch to WebPack for ECL Watch build %!s(int64=7) %!d(string=hai) anos
BUILD_ME.md 3bc3658b09 HPCC-19312 Update to latest cassandra driver %!s(int64=7) %!d(string=hai) anos
CMakeLists.txt 94ccebe7e4 HPCC-21719 Reorganize dafilesrv and client code %!s(int64=6) %!d(string=hai) anos
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CONTRIBUTORS c04b2a38e0 HPCC-16014 Contributors file needs some refreshing %!s(int64=8) %!d(string=hai) anos
FUTURE b39eb133f9 Initial version of FUTURE document %!s(int64=14) %!d(string=hai) anos
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README.md 1ec7f8ed88 Fix memory manager link %!s(int64=6) %!d(string=hai) anos
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package-lock.json 4a7ea76b58 HPCC-19093 Update to latest hpcc-js %!s(int64=7) %!d(string=hai) anos
version.cmake 26c5f8840a Split off 7.2.2 %!s(int64=6) %!d(string=hai) anos

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: