Add ability to send compressed payloads for metrics and distribution #466
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
nmuesch
reviewed
Oct 23, 2019
| @@ -626,6 +622,33 @@ def test_data_type_support(self): | |||
| serie = dict(metric='metric.numerical', points=point) | |||
| self.submit_and_assess_metric_payload(serie) | |||
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| def test_compression(self): | |||
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💜 While we're here can we explicitly test for compression being False/the default to protect against regressions/the default behavior changing?
nmuesch
approved these changes
Oct 23, 2019
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
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Our API supports zlib compressed payloads on the
seriesendpoint. Leverage this to help with issue #465