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https://issues.apache.org/jira/browse/PIO-96?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16079037#comment-16079037
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Kenneth Chan commented on PIO-96:
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actually I don't understand why use different storage config for different
engine ?
Can the user the same storage configuration as universal recommender (given UR
has a strict requirement)?
> Storage corrupted by sharing databases between engines with different storage
> configs
> -------------------------------------------------------------------------------------
>
> Key: PIO-96
> URL: https://issues.apache.org/jira/browse/PIO-96
> Project: PredictionIO
> Issue Type: Bug
> Components: Core
> Affects Versions: 0.11.0-incubating
> Reporter: Mars Hall
>
> When getting started with PredictionIO, it's no problem to spin up an engine
> and see it work. Problems emerge when a developer tries running multiple
> engines with different storage configs on the same underlying database, such
> as:
> * a Classifier with *Postgres* meta, event, & model storage, and
> * the Universal Recommender with *Elasticsearch* meta plus *Postgres* event &
> model storage.
> The database will become corrupt because the meta tables are stored in
> different databases, but the dynamically created event & model tables may
> mistakenly share the same name, like {{pio_event_1}}.
> We are directing folks to avoid this problem with the Heroku buildpack by
> [isolating each engine's
> database|https://github.com/heroku/predictionio-buildpack/blob/master/CUSTOM.md#provision-the-database]
> and [optionally running an eventserver per
> engine|https://github.com/heroku/predictionio-buildpack/blob/master/CUSTOM.md#user-content-eventserver].
> It's still a problem with local development, though.
> It would be great if PredictionIO's management of the database schema's would
> inherently avoid such conflicts, like by using random/UUIDs for dynamically
> created table names, so that they will never conflict.
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