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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/05/04 18:35:00 UTC
[jira] [Work logged] (BEAM-12272) Python - Backport FirestoreIO
connector's ramp-up to DatastoreIO connector
[ https://issues.apache.org/jira/browse/BEAM-12272?focusedWorklogId=592927&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-592927 ]
ASF GitHub Bot logged work on BEAM-12272:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 04/May/21 18:34
Start Date: 04/May/21 18:34
Worklog Time Spent: 10m
Work Description: danthev opened a new pull request #14723:
URL: https://github.com/apache/beam/pull/14723
A new connector for Cloud Firestore is being added to Beam and currently out for review (see #14261). Some of the features and adjustments are useful for Cloud Datastore as well, so they're being backported to this connector.
### Ramp-up throttling
This follows the same implementation as the Firetore connector, though implemented as a subtransform in the Write/Delete PTransform for simplicity and so the change is more easily visible.
In essence, the ramp-up throttler is a generic rate limiter that emits elements only when there is sufficient "budget". This budget starts at 500 entities per second (split across workers) and increases by 50% every 5 minutes, as documented under [Datastore Best Practices](https://cloud.google.com/datastore/docs/best-practices#ramping_up_traffic). Abiding by this rule is not always necessary, the throttling step can be turned off in that case.
### Minor tweaks
There have been minor tweaks and adjustments to some of the constants along the way.
* Raised target latency for automatic batch sizing from 5 to 6 seconds.
* Decreased initial batch size from 200 to 50.
* Decresed minimum batch size from 10 to 5.
* Added the Beam version to the user agent provided to the Datastore client for easier debugging by the Datastore team. The version of package `google-cloud-datastore` had to be bumped from 1.7.1 to 1.8.0 for that, which is a non-breaking change.
R: @chamikaramj
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 592927)
Remaining Estimate: 0h
Time Spent: 10m
> Python - Backport FirestoreIO connector's ramp-up to DatastoreIO connector
> --------------------------------------------------------------------------
>
> Key: BEAM-12272
> URL: https://issues.apache.org/jira/browse/BEAM-12272
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Daniel Thevessen
> Assignee: Daniel Thevessen
> Priority: P2
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The FirestoreIO connector (BEAM-8376) for the Java SDK is currently out for review.
> Some of the features for the Firestore connector are new relative to the Datastore connector, so the Firestore team would like to add them there as well. Most notably the Firestore connector has a gradual ramp-up feature that slowly increases throughput in line with Datastore/Firestore best practices.
> Some minor adjustments to constants for batch sizing and backoff may also be worth looking at.
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