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Richard Chapman 2e7f43080c Merge pull request #13449 from ghalliday/issue23648 vor 5 Jahren
.github 4266b0138a Fix debug build workflow vor 5 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 53b580989a HPCC-23632 Move the AWS support libraries vor 5 Jahren
common 7f7acb4f5e HPCC-23648 Move function to the correct header file vor 5 Jahren
configuration 28b0f1504c centos 6 workaround for 7.6.0 vor 5 Jahren
dali 7f7acb4f5e HPCC-23648 Move function to the correct header file vor 5 Jahren
deploy 1b5f9692cb HPCC-19467 Fix problems with windows stand alone compiling vor 7 Jahren
deployment 71126870cd HPCC-23438 Default Roxie info to linux rather than W2k vor 5 Jahren
devdoc 88e1bd2280 HPCC-20089 Rationalize and consolidate the developer documentation vor 7 Jahren
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ecllibrary c77c9b7028 HPCC-23082 Crypto Plugin needs key file access control vor 5 Jahren
esp 867827e2fd Merge pull request #13443 from ghalliday/issue23548 vor 5 Jahren
fs 70640c3a3a HPCC-23255 Move RFCremove to 'slow' throttle category. vor 5 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: