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https://issues.apache.org/jira/browse/BEAM-3042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pablo Estrada updated BEAM-3042:
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Description:
It is difficult for Dataflow users to understand how modifying a pipeline or
data set can affect how much inter-transform IO is used in their job. The
intent of this feature request is to help users understand how side inputs
behave when they are consumed.
This will allow users to understand how much time and how much data their
pipeline uses to read/write to inter-transform IO. Users will also be able to
modify their pipelines and understand how their changes affect these IO metrics.
For further information, please review the internal Google doc
go/insights-transform-io-design-doc.
was:
It is difficult for Dataflow users to understand how modifying a pipeline or
data set can affect how much inter-transform IO is used in their job. The
intent of this feature request is to help users understand how side inputs
behave when they are consumed.
For further information, please review the internal Google doc
go/insights-transform-io-design-doc.
> Add tracking of bytes read / time spent when reading side inputs
> ----------------------------------------------------------------
>
> Key: BEAM-3042
> URL: https://issues.apache.org/jira/browse/BEAM-3042
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Assignee: Pablo Estrada
>
> It is difficult for Dataflow users to understand how modifying a pipeline or
> data set can affect how much inter-transform IO is used in their job. The
> intent of this feature request is to help users understand how side inputs
> behave when they are consumed.
> This will allow users to understand how much time and how much data their
> pipeline uses to read/write to inter-transform IO. Users will also be able to
> modify their pipelines and understand how their changes affect these IO
> metrics.
> For further information, please review the internal Google doc
> go/insights-transform-io-design-doc.
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