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ASF GitHub Bot logged work on BEAM-2953: ---------------------------------------- Author: ASF GitHub Bot Created on: 07/May/18 04:03 Start Date: 07/May/18 04:03 Worklog Time Spent: 10m Work Description: rezarokni commented on issue #4116: [BEAM-2953] Part 1 of Multipart advanced timeseries examples URL: https://github.com/apache/beam/pull/4116#issuecomment-386951656 As this commit is too big and impractical to review for a example, I am going to close this PR and create smaller bit sized pieces. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 98863) Time Spent: 10m Remaining Estimate: 0h > 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: 10m > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)