Co-authored-by: Howard <danielhuang@tencent.com>
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@ -7,7 +7,7 @@ experimental[]
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To preserve flexibility, Rollup Jobs are defined based on how future queries may need to use the data. Traditionally, systems force
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the admin to make decisions about what metrics to rollup and on what interval. E.g. The average of `cpu_time` on an hourly basis. This
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is limiting; if, at a future date, the admin wishes to see the average of `cpu_time` on an hourly basis _and partitioned by `host_name`_,
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is limiting; if, in the future, the admin wishes to see the average of `cpu_time` on an hourly basis _and_ partitioned by `host_name`,
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they are out of luck.
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Of course, the admin can decide to rollup the `[hour, host]` tuple on an hourly basis, but as the number of grouping keys grows, so do the
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@ -36,7 +36,7 @@ based on which groups are potentially useful to future queries. For example, th
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--------------------------------------------------
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// NOTCONSOLE
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Allows `date_histogram`s to be used on the `"timestamp"` field, `terms` aggregations to be used on the `"hostname"` and `"datacenter"`
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Allows `date_histogram` to be used on the `"timestamp"` field, `terms` aggregations to be used on the `"hostname"` and `"datacenter"`
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fields, and `histograms` to be used on any of `"load"`, `"net_in"`, `"net_out"` fields.
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Importantly, these aggs/fields can be used in any combination. This aggregation:
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