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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.
The text was updated successfully, but these errors were encountered:
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.The text was updated successfully, but these errors were encountered: