How aggregation formulas work
Typically, the groupings and filters used in a formula use the same fields as columns returned in the search results. The concept of a grouping equates to an attribute column.
For example, in the search revenue ship mode
, revenue
is
the measure, and ship mode
is the attribute, or grouping. The result of this
search shows total revenue for each ship mode:
revenue  ship mode 

$ a  air 
$ r  rail 
$ t  truck 
$ s  sea transport 
The aggregation formulas are described in Overview of aggregate formulas.
About flexible aggregation
ThoughtSpot provides flexible aggregation with the group_aggregate
function. You can use this formula
to group and filter query results on different dimensions and granularities from the columns already used in the search bar query.
The group_aggregate
formula uses a subquery to perform these custom aggregations. If the subquery
is at a higher detailed level, ThoughtSpot adds the result column to the result of original
query. When the subquery is at a finer detail level than the original query, ThoughtSpot uses rollup, or reaggregation.
This is particularly useful for comparison analysis.
To use the groups and filters, specify them using the query_groups
and
query_filters
keywords, respectively. You can also add or exclude groups or filters.
Best practices for flexible aggregations
The group_aggregate
function enables you to calculate a result at a specific aggregation level, and then returns it at a different aggregation level. For this reaggregation result to return correctly, follow these syntax guidelines:

Wrap
group_aggregate
in an aggregate function, such assum
oraverage

The wrapping function must be the immediate preceding function, such as
sum(group_aggregate(...))

Do not use with conditional operators. For example, the following expression does not reaggregate the data because the
if
precedesgroup_aggregate
:(if(group_aggregate(...)))
Examples
For a search on revenue monthly ship mode
, you can add a formula to calculate yearly revenue by ship mode:
group_aggregate(sum(revenue), {ship mode, year(commit date)}, {})
The same formula can also be written using query_groups()
and query_filters()
as following:
group_aggregate(sum(revenue), query_groups()  {commit date} + {year(commit date)}, {})
This is helpful to include the main query groups that are not known at formula
creation time. You can use +/
to modify the set of groups included from
the query.
+/
is currently supported only for query_groups
, not query_filters
.When group formula results are finergrained than the search
With the flexibility of groupings for group formulas, the computed column created by a formula can be finer or courser grained than the search itself.
For example, you can have a search that shows total yearly sales and a formula that computes total sales for each month (a finergrained calculation than the search).
In such cases, if an additional aggregation is specified by the formula, the results get reaggregated.
Reaggregation can be applied in either of these ways:

You can add an aggregation keyword just before a formula column in a search. For example, in this search we’ve added the keyword min just before our formula for
monthly_sales
:sum revenue yearly min monthly_sales
where, the
monthly_sales
formula is written as:group_aggregate(sum(revenue), {start_of_month(date)}, {})

You can create a separate formula, such as in this search for:
sum revenue yearly min_monthly_sales
where, the
min_monthly_sales
formula is written as:min(monthly_sales)
Alternatively, if no aggregation is specified, then the search query also inherits the formula groupings, as in this search:
sum revenue yearly monthly_sales
where, the original query is computed at a monthly grain instead of yearly.
Reaggregation scenarios
Some scenarios require aggregation on an already aggregated result.
For example, computing minimum monthly sales per ship mode, requires two aggregations:

the first aggregation of sum to compute total monthly sales per ship mode.

the second aggregation of min to compute minimum sale that happened for any given month for that ship mode.
An example of this is this search:
ship mode min monthly_sales
where the formula monthly_sales
is written as:
group_aggregate(sum(revenue), query_groups() + {start_of_month(date)}, {})
For more extensive examples of using the groupaggregate
function, we encourage you to see Reaggreggation scenarios in practice
Groups and filters
Flexible group aggregate formulas allow for flexibility in both groupings and filters. The formulas give you the ability to specify only groupings or only filters.
Related information

For more examples of flexible aggregation, see the group_aggregate function in the Formula function reference.

To learn about aggregation formulas in general, see Overview of aggregate formulas and Group aggregation functions

To learn about how the
groupaggregate
function can be used within your business practice, we encourage you to see Reaggregation scenarios in practice