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Optimizing multivariate metrics representation to provide native support within the client SDK #14

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lquerel opened this issue Aug 22, 2023 · 0 comments
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enhancement New feature or request performance

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lquerel commented Aug 22, 2023

Multivariate metrics already compress quite efficiently due to the grouping of duplicated attributes among metrics. Currently, each type of data point (sum, gauge, histogram, etc.) has a dedicated attribute table/record.

For future client SDKs that natively support multivariate metrics, it should be possible to eliminate the in-memory duplication of attributes. This will necessitate the creation of a single DATA_POINT_ATTRS table that can be shared among different types of data points.

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@lquerel lquerel added the enhancement New feature or request label Aug 22, 2023
@lquerel lquerel self-assigned this Aug 22, 2023
@lquerel lquerel changed the title Optimizing multivariate metrics to provide native support within the client SDK Optimizing multivariate metrics representation to provide native support within the client SDK Aug 22, 2023
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