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Richard Chapman c64f9ed72b Merge branch 'candidate-7.12.x' vor 4 Jahren
.github 7ae0c16f0a 7.12.x non-debug images should be tagged as latest vor 4 Jahren
build_utils c63b80c278 HPCC-13448 Source Code needs Marca Registrada next to HPCC Systems® vor 10 Jahren
charm 37d0fb7f7d HPCC-11289 Add README file for HPCC Juju Charm Development vor 10 Jahren
clienttools 250097ffbc HPCC-20550 remove target ESDL service name in ESDL. vor 6 Jahren
cmake_modules c4487f7e71 Merge remote-tracking branch 'origin/candidate-7.12.x' vor 4 Jahren
common d629e2d2eb HPCC-24829 Client should discard persistent connection for unexpected data vor 4 Jahren
configuration 28b0f1504c centos 6 workaround for 7.6.0 vor 5 Jahren
dali a008549bf5 HPCC-24567 JWT-based security manager plugin vor 4 Jahren
deploy 1b5f9692cb HPCC-19467 Fix problems with windows stand alone compiling vor 7 Jahren
deployment d9b73fb2f3 HPCC-24240 Potential confusion between NotFound vs notFound symbols vor 5 Jahren
devdoc 0c971b503b HPCC-24513 Improve workunit documentation about specialised workflow items vor 5 Jahren
devel cdbf9bb329 HPCC-23036 DistributePKI and safe_pki vor 5 Jahren
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docs 0bcf17d685 HPCC-24763 Document U & D suffixes for integer constants vor 4 Jahren
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ecllibrary ab3d54fef8 Merge pull request #14188 from afishbeck/uniqueIdPlugin vor 4 Jahren
esp 66b62ddecc Merge pull request #14213 from GordonSmith/TS_I18N vor 4 Jahren
fs a1a53c42fb HPCC-24723 Fix two minor coverity errors vor 4 Jahren
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tools 817ac9340e HPCC-24796 Provide option to suppress @ver_ in targetnamespac vor 4 Jahren
.gitattributes 2241da2000 HPCC-17425 Various fixes for running HPCC in windows linux subsystem vor 8 Jahren
.gitignore 7784686fd2 HPCC-24205 Add pyc files to git ignore vor 4 Jahren
.gitmodules a008549bf5 HPCC-24567 JWT-based security manager plugin vor 4 Jahren
BUILD_ME.md 910c676afe HPCC-19056 Update build instructions vor 5 Jahren
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build-config.h.cmake 08fd95330b HPCC-9902 Use the build version as the ecl version reported by eclcc vor 12 Jahren
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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

Developer documentation

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