[jira] [Updated] (BEAM-1787) Python DirectRunner silently blocks reading full query from Google Datastore

["Kenneth Knowles (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-1787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kenneth Knowles updated BEAM-1787:
----------------------------------
    Component/s:     (was: beam-model-runner-api)
                 sdk-py

> Python DirectRunner silently blocks reading full query from Google Datastore
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-1787
>                 URL: https://issues.apache.org/jira/browse/BEAM-1787
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py
>            Reporter: Mike Lambert
>            Assignee: Kenneth Knowles
>            Priority: Minor
>              Labels: datastore, python
>
> When I run a query (even with many splits) against the production datastore (such as in the datastore_wordcount demo), it operates as follows:
> 1. split the query into a bunch of split queries
> 2. run each split query, collecting the results
> 3. then pass the results to the following stage / ParDo
> However, 2 is run to completion with DirectRunner before starting 3. So a large dataset must be fully downloaded before it attempts to run any of the following stages.
> While it may make sense and local parallelism/pipelining might be impossible....there is no output or status messages. And debugging why my code appeared to hang before processing results, took forever to dig through code and instrument-log-debug all the beam code to figure out what was going on.
> See https://github.com/GoogleCloudPlatform/DataflowPythonSDK/issues/36 for more details
> This happens with github head 0.7.0-dev (there was no "version" tag for this above).



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