Auto summarize records12/31/2023 ![]() For instance, instead of using SourceTableName | summarize Result=sum(Column1)/sum(Column2) by Id, define the materialized view as: SourceTableName | summarize a=sum(Column1), b=sum(Column2) by Id. The following operators are not supported in the materialized view query: sort, top-nested, top, partition, serialize.Ĭomposite aggregations are not supported in the definition of the materialized view. Use the retention policy on the materialized view to limit the period of time that the view covers. ![]() For example, the query shouldn't have where Timestamp > ago(5d). The query shouldn't include any operators that depend on now(). ![]() They don't apply when the view includes mixed aggregation functions (where mixed means both arg_max/ arg_min/ take_any and other aggregations in the same view). This is because some optimizations are relevant only to these kinds of materialized views. The summarize operator must always be the last operator in the query.Ī materialized view that includes only a single arg_max/ arg_min/ take_any aggregation might perform better than a materialized view that includes these aggregations along with other aggregations (such as count/ dcount/ avg). It should include a single summarize operator, and one or more aggregation functions aggregated by one or more groups by expressions. The query should reference a single fact table that is the source of the materialized view. The following rules limit the query used in the materialized view Query parameter: | join kind=rightouter hint.strategy=broadcast T on User create materialized-view with (dimensionTables = dynamic()) EnrichedArgMax on table T | summarize arg_max(Timestamp, *) by User Here are materialized views that join with a dimension table. | summarize count(), dcount(User), max(Duration) by Customer, Api, Month | where Customer in ("Customer1", "Customer2", "CustomerN") create materialized-view CustomerUsage on table T The definition can include additional operators before the summarize statement, as long as summarize is the last one. | summarize count(), dcount(User) by Day=bin(Timestamp, 1d) create materialized-view DailyUsage on materialized-view DeduplicatedTable Records will be deduplicated against only records ingested 6 hours before current records.create materialized-view with(lookback=6h) DeduplicatedTable on table TĬreate a downsampling materialized view that's based on the previous DeduplicatedTable materialized view. The view is created based on records from the datetime only.create async materialized-view with (backfill=true, effectiveDateTime=datetime()) CustomerUsage on table TĬreate a materialized view that deduplicates the source table, based on the EventId column, by using a lookback of 6 hours. | summarize count(), dcount(User), max(Duration) by Customer, DayĬreate a materialized view with backfill and effectiveDateTime. create async materialized-view with (backfill=true, docString="Customer telemetry") CustomerUsage on table T T | summarize arg_max(Timestamp, *) by UserĬreate a materialized view for daily aggregates with the backfill option, by using async. ![]() create materialized-view ArgMax on table T Query definition of the materialized view.Ĭreate an empty arg_max view that will materialize only records ingested from now on. Name of source materialized view on which the view is defined. The view name can't conflict with table or function names in the same database and must adhere to the identifier naming rules. List of properties in the form of name and value pairs, from the list of supported properties. create materialized-view MaterializedViewName on table SourceTableName You must have at least Database User permissions to run this command. For more information, see Backfill a materialized view. You must then re-execute the create command. If this process transiently fails while running, it won't be automatically retried. On large source tables, the backfill option might take a long time to complete. ![]()
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