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https://issues.apache.org/jira/browse/BEAM-14238?focusedWorklogId=756397&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-756397
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ASF GitHub Bot logged work on BEAM-14238:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Apr/22 13:40
Start Date: 13/Apr/22 13:40
Worklog Time Spent: 10m
Work Description: codecov[bot] commented on PR #17360:
URL: https://github.com/apache/beam/pull/17360#issuecomment-1098064517
#
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Report
> Merging
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(14862cc) will **increase** coverage by `0.10%`.
> The diff coverage is `n/a`.
```diff
@@ Coverage Diff @@
## master #17360 +/- ##
==========================================
+ Coverage 73.96% 74.06% +0.10%
==========================================
Files 672 680 +8
Lines 88259 89091 +832
==========================================
+ Hits 65283 65989 +706
- Misses 21863 21989 +126
Partials 1113 1113
```
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|---|---|---|
| python | `83.66% <ø> (+0.01%)` | :arrow_up: |
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| `93.03% <0.00%> (-0.59%)` | :arrow_down: |
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------
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Issue Time Tracking
-------------------
Worklog Id: (was: 756397)
Time Spent: 40m (was: 0.5h)
> [CdapIO] SparkReceiverIO PoC: Read from Spark Receivers via Unbounded
> ---------------------------------------------------------------------
>
> Key: BEAM-14238
> URL: https://issues.apache.org/jira/browse/BEAM-14238
> Project: Beam
> Issue Type: Task
> Components: io-java-cdap
> Reporter: Elizaveta Lomteva
> Assignee: Vitaly Terentyev
> Priority: P2
> Labels: cdap-io-sprint-3
> Time Spent: 40m
> Remaining Estimate: 0h
>
> h3. Context:
> As a result of the third sprint, we should represent the working
> SparkReceiverIO PoC with reading via Unbounded functionality
> h3. Task Description:
> Design and implement the first draft of the SparkReceiverIO package
> architecture and its child components. Implement a working read example.
> h3. Acceptance criteria:
> Design of the architecture of the SparkReceiverIO package:
> # Diagram of the package directory structure
> # Sequence diagram for SparkReceiverIO structural components
> Working read example with any Custom SparkReceiver.
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