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feat(Analytics): Support for Timeseries Aggregated Statistics #3207
feat(Analytics): Support for Timeseries Aggregated Statistics #3207
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…atahub-fork into timeseries_agg_stats
2) Analytics end-point clean up.
2. Minor other fixes
…eldPath` to match the renamed field in the PDL.
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If we have a string grouping and then date grouping, will it work?
In general, we need more docs (Logic overview, API examples, etc.). Maybe add them in the next PR!
import static com.linkedin.metadata.entity.ebean.EbeanUtils.parseSystemMetadata; | ||
import static com.linkedin.metadata.entity.ebean.EbeanUtils.toAspectRecord; | ||
import static com.linkedin.metadata.entity.ebean.EbeanUtils.toJsonAspect; | ||
import static com.linkedin.metadata.entity.ebean.EbeanUtils.*; |
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Can we revert this file? Seems like the only change is on the comments. Let's just change that and make it clear what we are changing.
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The static imports change in this file is a result of running the linkedin code formatter on this file!
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DEFAULT, | ||
/** | ||
* Skip annotations on aspect record fields, only | ||
* parse entity + aspect annotations. |
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Minor: might be useful to describe briefly why we need this mode
This reverts commit 479f105.
…ork into timeseries_agg_stats
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LGTM!
Adds support for doing aggregations over time-series aspect fields, and migrates the existing usage stats implementation on top this feature. The key changes include
Checklist