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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/10/02 10:06:00 UTC
[jira] [Work logged] (BEAM-2953) Create more advanced Timeseries
processing examples using state API
[ https://issues.apache.org/jira/browse/BEAM-2953?focusedWorklogId=150330&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-150330 ]
ASF GitHub Bot logged work on BEAM-2953:
----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Oct/18 10:05
Start Date: 02/Oct/18 10:05
Worklog Time Spent: 10m
Work Description: rezarokni opened a new pull request #6540: [-BEAM-2953] Advanced Timeseries examples.
URL: https://github.com/apache/beam/pull/6540
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Issue Time Tracking
-------------------
Worklog Id: (was: 150330)
Time Spent: 0.5h (was: 20m)
> Create more advanced Timeseries processing examples using state API
> -------------------------------------------------------------------
>
> Key: BEAM-2953
> URL: https://issues.apache.org/jira/browse/BEAM-2953
> Project: Beam
> Issue Type: Improvement
> Components: examples-java
> Affects Versions: 2.1.0
> Reporter: Reza ardeshir rokni
> Assignee: Reuven Lax
> Priority: Minor
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> As described in the phase 1 portion of this solution outline:
> https://cloud.google.com/solutions/correlating-time-series-dataflow
> BEAM can be used to build out some very interesting pre-processing stages for time series data. Some examples that will be useful:
> - Downsampling time series based on simple AVG, MIN, MAX
> - Creating a value for each time window using generatesequence as a seed
> - Loading the value of a downsample with the previous value (used in FX with previous close being brought into current open value)
> This will show some concrete examples of keyed state as well as the use of combiners.
> The samples can also be used to show how you can create a ordered list of values per key from a unbounded topic which has multiple time series keys.
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