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https://issues.apache.org/jira/browse/BEAM-2085?focusedWorklogId=589960&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-589960
]
ASF GitHub Bot logged work on BEAM-2085:
----------------------------------------
Author: ASF GitHub Bot
Created on: 27/Apr/21 18:59
Start Date: 27/Apr/21 18:59
Worklog Time Spent: 10m
Work Description: tvalentyn commented on a change in pull request #14607:
URL: https://github.com/apache/beam/pull/14607#discussion_r621510408
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowPipelineTranslator.java
##########
@@ -760,6 +776,24 @@ private void addDisplayData(Step step, String stepName,
HasDisplayData hasDispla
List<Map<String, Object>> list = MAPPER.convertValue(displayData,
List.class);
addList(getProperties(), PropertyNames.DISPLAY_DATA, list);
}
+
+ private void addResourceHints(Step step, String stepName, ResourceHints
hints) {
+ Map<String, Object> urlEncodedHints = new HashMap<>();
+ PercentCodec codec = new PercentCodec();
+ for (Entry<String, ResourceHint> entry : hints.hints().entrySet()) {
+ try {
Review comment:
Another nice thing about Apache Commons codec is that it understands
bytearray, URLEncoder will require another string conversion. I think it's fine
to keep as is, but if you feel strongly we should change to URLEnconder I'm
happy to do that.
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Issue Time Tracking
-------------------
Worklog Id: (was: 589960)
Time Spent: 38h 10m (was: 38h)
> Transforms could give hints to runners on resource requirements
> ---------------------------------------------------------------
>
> Key: BEAM-2085
> URL: https://issues.apache.org/jira/browse/BEAM-2085
> Project: Beam
> Issue Type: Improvement
> Components: beam-model, runner-core, sdk-java-core
> Affects Versions: Not applicable
> Reporter: Ismaël Mejía
> Assignee: Valentyn Tymofieiev
> Priority: P3
> Labels: Clarified
> Time Spent: 38h 10m
> Remaining Estimate: 0h
>
> As discussed in BEAM-673 runners can allocate workers to accomplish their
> work in a better way if they can take into account some hints from the
> transforms, e.g. a source can hint data locality and with this information
> the runner can allocate the workers in an better way, this can also be the
> case with a particular transform that can suggest to the runner to be
> executed in a worker with a specific resource, e.g. GPU.
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