Allows caching a subquery result during the time of query execution in a way that other subqueries can reference the partial result.




  • expression: Tabular expression to be evaluated and cached during query execution.


  • Use materialize with join or union when their operands have mutual subqueries that can be executed once. See the examples below.

  • Useful also in scenarios when we need to join/union fork legs.

  • Materialize can only be used in let statements if you give the cached result a name.


  • Materialize has a cache size limit of 5 GB. This limit is per cluster node and is mutual for all queries running concurrently. If a query uses materialize() and the cache can't hold any more data, the query will abort with an error.


The following example shows how materialize() can be used to improve performance of the query. The expression _detailed_data is defined using materialize() function and therefore it's calculated only once.

let _detailed_data = materialize(StormEvents | summarize Events=count() by State, EventType);
| summarize TotalStateEvents=sum(Events) by State
| join (_detailed_data) on State
| extend EventPercentage = Events*100.0 / TotalStateEvents
| project State, EventType, EventPercentage, Events
| top 10 by EventPercentage
State EventType EventPercentage Events
HAWAII WATERS Waterspout 100 2
LAKE ONTARIO Marine Thunderstorm Wind 100 8
GULF OF ALASKA Waterspout 100 4
ATLANTIC NORTH Marine Thunderstorm Wind 95.2127659574468 179
LAKE ERIE Marine Thunderstorm Wind 92.5925925925926 25
E PACIFIC Waterspout 90 9
LAKE MICHIGAN Marine Thunderstorm Wind 85.1648351648352 155
LAKE HURON Marine Thunderstorm Wind 79.3650793650794 50
GULF OF MEXICO Marine Thunderstorm Wind 71.7504332755633 414
HAWAII High Surf 70.0218818380744 320

The following example generates a set of random numbers and calculates:

  • how many distinct values in the set (Dcount)
  • the top three values in the set
  • the sum of all these values in the set

This operation can be done using batches and materialize:

let randomSet = 
        range x from 1 to 3000000 step 1
        | project value = rand(10000000));
randomSet | summarize Dcount=dcount(value);
randomSet | top 3 by value;
randomSet | summarize Sum=sum(value)

Result set 1:


Result set 2:


Result set 3: