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https://issues.apache.org/jira/browse/BEAM-9679?focusedWorklogId=465998&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-465998
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ASF GitHub Bot logged work on BEAM-9679:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Aug/20 02:42
Start Date: 04/Aug/20 02:42
Worklog Time Spent: 10m
Work Description: damondouglas commented on a change in pull request
#12448:
URL: https://github.com/apache/beam/pull/12448#discussion_r464765533
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File path:
learning/katas/go/core_transforms/additional_parameters/additional_parameters/task.md
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+
+# Additional Parameters - Window and Timestamp
+
+This lesson introduces the concept of windowing and timestamped PCollection
elements.
+Before discussing windowing, we need to distinguish bounded from unbounded
data.
+Bounded data is of a fixed size such as a file or database query. Unbounded
data comes
+from a continuously updated source such as a subscription or stream.
+
+A window is a view into a fixed beginning and fixed end to a set of data. In
the beam model, windowing subdivides
+a PCollection according to the timestamps of its individual elements. This is
useful
+for unbounded data because it allows the model to work with fixed element
sizes. Note that windowing
+is not unique to unbounded data. The beam model windows all data whether it
is bounded or unbounded.
+Yet, when you read from a fixed size source such as a file, beam applies the
same timestamp to all the elements.
Review comment:
My gut was telling me "beam applies the timestamp" was not quite it but
now the way you describe it makes sense.
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Issue Time Tracking
-------------------
Worklog Id: (was: 465998)
Time Spent: 19h 40m (was: 19.5h)
> Core Transforms | Go SDK Code Katas
> -----------------------------------
>
> Key: BEAM-9679
> URL: https://issues.apache.org/jira/browse/BEAM-9679
> Project: Beam
> Issue Type: Sub-task
> Components: katas, sdk-go
> Reporter: Damon Douglas
> Assignee: Damon Douglas
> Priority: P2
> Time Spent: 19h 40m
> Remaining Estimate: 0h
>
> A kata devoted to core beam transforms patterns after
> [https://github.com/apache/beam/tree/master/learning/katas/java/Core%20Transforms]
> where the take away is an individual's ability to master the following using
> an Apache Beam pipeline using the Golang SDK.
>
> ||Transform||Pull Request||Status||
> |Map|[11564|https://github.com/apache/beam/pull/11564]|Closed|
> |GroupByKey|[11734|https://github.com/apache/beam/pull/11734]|Closed|
> |CoGroupByKey|[11803|https://github.com/apache/beam/pull/11803]|Closed|
> |Combine Simple
> Function|[11866|https://github.com/apache/beam/pull/11866]|Closed|
> |CombineFn|[11883|https://github.com/apache/beam/pull/11883]|Closed|
> |CombinePerKey|[11936|https://github.com/apache/beam/pull/11936]|Closed|
> |Flatten|[11806|https://github.com/apache/beam/pull/11806]|Closed|
> |Partition|[11979|https://github.com/apache/beam/pull/11979]|Closed|
> |Side Input|[12024|https://github.com/apache/beam/pull/12024]|Closed|
> |Additional Outputs|[12066|https://github.com/apache/beam/pull/12066]|Closed|
> |Branching|[12113|https://github.com/apache/beam/pull/12113]|Closed|
> |Composite Transform|[12402|https://github.com/apache/beam/pull/12402]|Closed|
> |DoFn Additional
> Parameters|[12448|https://github.com/apache/beam/pull/12448]|Open|
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