GenericPipeline

Abstract super class to establish the flow of Pipes.


Provide a tool to easily build customized data flows to pre-process large volumes
of information from different sources. To this end, 'bdpar' allows to (i) easily use and
create new functionalities and (ii) develop new data source extractors according to the
user needs. Additionally, the package provides by default a predefined data flow
to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual
sources (SMS, Email, tweets, YouTube comments).

Miguel Ferreiro-D<c3><ad>az

bdpar

Big Data Preprocessing Architecture

David Ruano-Ord<c3><a1>s

Tom<c3><a1>s R. Cotos-Ya<c3><b1>ez

University of Vigo 

GenericPipeline function

<code>GenericPipeline$new()</code>

Constructor

<ul>
<li>execute:
function where is implemented the flow of the pipes.
<ul>
<li>Usage:
<code>execute(instance)</code></li>
<li>Value:
the preprocessed <code><a rd-options="" href="/link/Instance?package=bdpar&version=2.0.0" data-mini-rdoc="bdpar::Instance">Instance</a></code>.</li>
<li>Arguments:
<ul>
<li>instance:
(Instance) the <code><a rd-options="" href="/link/Instance?package=bdpar&version=2.0.0" data-mini-rdoc="bdpar::Instance">Instance</a></code> that is going to be processed.</li>
</ul></li>
</ul></li>
<li>get:
gets a list with containinig the set of pipes of the pipeline,
<ul>
<li>Usage:
<code>get()</code></li>
<li>Value:
the set of pipes containing the pipeline.</li>
</ul></li>
</ul>

GenericPipeline: Absctract super class implementing the pipelining proccess.

Description

Usage

Arguments

Constructor

Methods

See Also