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Richard Chapman 2abecdea53 Merge pull request #13386 from kunalaswani/HPCC-23007new 5 lat temu
.github 4266b0138a Fix debug build workflow 5 lat temu
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 lat temu
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development 10 lat temu
clienttools 250097ffbc HPCC-20550 remove target ESDL service name in ESDL. 6 lat temu
cmake_modules 9ed3df170d HPCC-23560 Add build-time flag for containerized mode 5 lat temu
common 9ed3df170d HPCC-23560 Add build-time flag for containerized mode 5 lat temu
configuration 28b0f1504c centos 6 workaround for 7.6.0 5 lat temu
dali 9ed3df170d HPCC-23560 Add build-time flag for containerized mode 5 lat temu
deploy 1b5f9692cb HPCC-19467 Fix problems with windows stand alone compiling 7 lat temu
deployment 71126870cd HPCC-23438 Default Roxie info to linux rather than W2k 5 lat temu
devdoc 88e1bd2280 HPCC-20089 Rationalize and consolidate the developer documentation 7 lat temu
devel cdbf9bb329 HPCC-23036 DistributePKI and safe_pki 5 lat temu
dockerfiles e4f9ebce5e HPCC-23532 Dockerfiles should have some copyright headers 5 lat temu
docs f380d8474c Merge pull request #13370 from JamesDeFabia/HPCC-23521RemoveECLPlus 5 lat temu
ecl 362c6abdaa Merge pull request #13367 from richardkchapman/trace-config 5 lat temu
ecllibrary 7c01515ab8 HPCC-23124 Take DST into account in Std.Date functions DatesForWeek, AdjustCalendar, and DatesForMonth 5 lat temu
esp fc80778e36 Merge pull request #13386 from kunalaswani/HPCC-23007new 5 lat temu
fs 70640c3a3a HPCC-23255 Move RFCremove to 'slow' throttle category. 5 lat temu
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initfiles 9ed3df170d HPCC-23560 Add build-time flag for containerized mode 5 lat temu
lib2 53e0ecb20f Various changes to help make install work on OSX catalina 5 lat temu
misc 66e814cdf0 HPCC-9508 Add eclipse code layout settings file to project 12 lat temu
package dd10b3c3be HPCC-16491 Work-around CMake productbuild packaging issue 8 lat temu
plugins 4319bad8bc HPCC-23431 my_bool is not supported in MySQL 8 5 lat temu
roxie 2b62e0a6c7 HPCC-23527 Add option to trace configuration 5 lat temu
rtl 3b810780ce HPCC-9805: ECL support for HTTP POST JSON and XML 5 lat temu
services 9ff9bae797 HPCC-21758 Make StringBuffer constructors explicit 6 lat temu
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thorlcr cb2c6e33fb HPCC-23509 Allow master/slave to be decoupled from fixed group 5 lat temu
tools 00291a2f72 HPCC-23216 OSX build error on master 5 lat temu
.gitattributes 2241da2000 HPCC-17425 Various fixes for running HPCC in windows linux subsystem 8 lat temu
.gitignore e93161d906 HPCC-23289 EclWatch option to override debug server 5 lat temu
.gitmodules bfc48c119d HPCC-22480 Pass IP addresses rather than node indexes in Roxie internal messages 6 lat temu
.travis.yml 9aba0126bc HPCC-18512 Switch to WebPack for ECL Watch build 7 lat temu
BUILD_ME.md 910c676afe HPCC-19056 Update build instructions 5 lat temu
CMakeLists.txt 9ed3df170d HPCC-23560 Add build-time flag for containerized mode 5 lat temu
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CONTRIBUTORS c04b2a38e0 HPCC-16014 Contributors file needs some refreshing 8 lat temu
FUTURE b39eb133f9 Initial version of FUTURE document 14 lat temu
LICENSE.txt c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 lat temu
R-LICENSE.txt 41fdcf477c HPCC-14457 Split R plugin to its own package 9 lat temu
README.md 1ec7f8ed88 Fix memory manager link 6 lat temu
VERSIONS 04760b84cc Preparation for 6.0.0-beta1 release 9 lat temu
baseaddr.txt c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® 10 lat temu
build-config.h.cmake 08fd95330b HPCC-9902 Use the build version as the ecl version reported by eclcc 12 lat temu
cmake-vs2015.bat 5db236fc6e HPCC-20752 Build and run HPCC in VS 2015 6 lat temu
cmake_uninstall.cmake.in 2ae8bdcd44 HPCC-15142 Minimal changes needed for DESTDIR 9 lat temu
hpcc.png a59ea3ce9c HPCC-23354 Supply an example helm chart and other docs 5 lat temu
package-lock.json 4a7ea76b58 HPCC-19093 Update to latest hpcc-js 7 lat temu
version.cmake 95adbb47f6 Split off 7.6.x 5 lat temu

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: