metrics: Remove LabelSet #527
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Remove LabelSet according to OTEP 90: https://github.com/open-telemetry/oteps/blob/master/text/0090-remove-labelset-from-metrics-api.md
Codecov Report
@@ Coverage Diff @@
## master #527 +/- ##
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- Coverage 89.56% 89.47% -0.09%
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Files 43 43
Lines 2213 2195 -18
Branches 249 247 -2
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- Hits 1982 1964 -18
Misses 159 159
Partials 72 72
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ocelotl
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Mar 25, 2020
...opentelemetry-ext-otcollector/src/opentelemetry/ext/otcollector/metrics_exporter/__init__.py
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| labels = {"key": "value"} | ||
| key_labels = tuple(sorted(labels.items())) |
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| @@ -70,13 +70,13 @@ | |||
| # is essentially metric data that corresponds to a specific set of labels. | |||
| # Therefore, getting a bound metric instrument using the same set of labels | |||
| # will yield the same bound metric instrument. | |||
| bound_requests_counter = requests_counter.bind(label_set) | |||
| bound_requests_counter = requests_counter.bind(labels) | |||
| bound_requests_counter.add(100) | |||
| time.sleep(5) | |||
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| print("Updating using batch calling convention...") | |||
| # You can record metrics in a batch by passing in a labelset and a sequence of | |||
| # (metric, value) pairs. The value would be recorded for each metric using the | |||
| # specified labelset for each. | |||
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Suggested change
| # specified labelset for each. | |
| # specified labels for each. |
Co-Authored-By: Leighton Chen <lechen@microsoft.com>
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Remove LabelSet according to OTEP 90:
https://github.com/open-telemetry/oteps/blob/master/text/0090-remove-labelset-from-metrics-api.md
Fixes #518.