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The above examples are a single time series in time series database.
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- Any samples ingested against them will be stored as if they are scraped/ingested against a single time series.
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- If the examples above are ingested with the same timestamp, one of them will be dropped randomly.
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- The casing that will be stored in the time series database and returned in query, is unpredictable. Different casing at different times for the same time series may be returned.
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- Any metric name or label name/value matcher present in the query, will be retrieved from time series database by making a case-insensitive comparison. If there is a case sensitive matcher in a query, it is automatically treated as a case-insensitive matcher when making string comparisons.
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The above examples are a single time series in time series database.
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- Any samples ingested against them are be stored as if they're scraped/ingested against a single time series.
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- If the examples above are ingested with the same timestamp, one of them is randomly dropped.
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- The casing that's stored in the time series database and returned in query, is unpredictable. Different casing may be returned at different times for the same time series.
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+
- Any metric name or label name/value matcher present in the query, is retrieved from time series database by making a case-insensitive comparison. If there is a case sensitive matcher in a query, it's automatically treated as a case-insensitive matcher when making string comparisons.
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It is best practice to insure that a time series is produced/scraped only in 1 unique casing.
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It is best practice to insure that a time series is produced or scraped using a single consistent case.
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In OSS Prometheus the above time series are treated as two different time series. Any samples scraped/ingested against them will be stored separately.
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In OSS Prometheus the above time series are treated as two different time series. Any samples scraped/ingested against them are stored separately.
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