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https://issues.apache.org/jira/browse/BIGTOP-1366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14118762#comment-14118762
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Jörn Franke commented on BIGTOP-1366:
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I think over the long run - maybe not for this patch - the following
functionality could be interesting:
* outsource fixed values from code to CSV files (e.g. list of states in US,
fake street names etc.): Benefit would be that any user can customize this and
add own data (e.g. list of states in Germany)
* generate data according to some probability distribution (normal,
exponential, binomial, uniform, lognormal, bernoulli, geometric, copula etc.).
Benefit would be that we can simulate any sensor data, e.g. machine data for a
machine that fails
* generate data according to some queuing model (e.g. markov chain or
stochastic processes in general). Benefit would be that we can, for instance,
simulate a lot of transaction during noon for a restaurant. Queues have a lots
of use cases (e.g. airlines, stores, supply chain management, network
transmission).
> Updated, Richer Model for Generating Data for BigPetStore
> ----------------------------------------------------------
>
> Key: BIGTOP-1366
> URL: https://issues.apache.org/jira/browse/BIGTOP-1366
> Project: Bigtop
> Issue Type: Improvement
> Components: blueprints
> Affects Versions: backlog
> Reporter: RJ Nowling
> Assignee: RJ Nowling
> Priority: Minor
> Original Estimate: 8,736h
> Remaining Estimate: 8,736h
>
> BigPetStore uses synthetic data as the basis for its workflow. BPS's current
> model for generating customer data is sufficient for basic testing of the
> Hadoop ecosystem, **but the model is very basic and lacks sufficient
> complexity for embedding interesting patterns into the data**.
> As a result, **more complex, scalable testing such as testing clustering
> algorithms in Mahout on non-trivial data or multidimensional data with
> factors influencing it** is not currently possible.
> Efforts are currently underway to incrementally improve the current model
> (see BIGTOP-1271 and BIGTOP-1272).
> To create a model that can that incorporate **realistic, non-hierarchichal
> patterns** and input data to generate rich customer/transaction data with
> interesting correlations will require a re-imagining of the current model and
> its framework.
> To support the improvements to the model in BigPetStore, I have been working
> on an **alternative ab initio model, developed from scratch**. Since the
> development of a new model involves substantial R&D work with more
> specialized tools (mathematical and plotting libraries), I'm doing the
> current work outside of BPS using the iPython Notebook environment. Due to
> the long time frame, the model will be developed on a separate timeline to
> prevent slowing the development of BPS.
> Once the model has stabilized, I will begin incorporating the model into BPS
> itself. One option is to implement the model in using Scala for clean
> integration with **spark** which is likely to play an increasingly important
> role in the hadoop ecosystem, and thus will be an important part of
> bigpetstore as a test/blueprint app.
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