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Posted to commits@beam.apache.org by "Aviem Zur (JIRA)" <ji...@apache.org> on 2017/04/23 11:56:04 UTC
[jira] [Updated] (BEAM-2057) Test metrics are reported to Spark
Metrics sink.
[ https://issues.apache.org/jira/browse/BEAM-2057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aviem Zur updated BEAM-2057:
----------------------------
Description:
Test that metrics are reported to Spark's metric sink.
Use {{InMemoryMetrics}} and {{InMemoryMetricsSinkRule}} similarly to the {{NamedAggregatorsTest}} which tests that aggregators are reported to Spark's metrics sink (Aggregators are being removes so this test should be in a separate class).
For an example on how to create a pipeline with metrics take a look at {{MetricsTest}}.
was:
Test that metrics are reported to Spark's metric sink.
Use {{InMemoryMetrics}} and {{InMemoryMetricsSinkRule}} similarly to the {{NamedAggregatorsTest}} which tests that aggregators are reported to Spark's metrics sink (Aggregators are being removes so this test should be in a separate class).
> Test metrics are reported to Spark Metrics sink.
> ------------------------------------------------
>
> Key: BEAM-2057
> URL: https://issues.apache.org/jira/browse/BEAM-2057
> Project: Beam
> Issue Type: Test
> Components: runner-spark
> Reporter: Aviem Zur
> Labels: newbie, starter
>
> Test that metrics are reported to Spark's metric sink.
> Use {{InMemoryMetrics}} and {{InMemoryMetricsSinkRule}} similarly to the {{NamedAggregatorsTest}} which tests that aggregators are reported to Spark's metrics sink (Aggregators are being removes so this test should be in a separate class).
> For an example on how to create a pipeline with metrics take a look at {{MetricsTest}}.
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