SAQL Statements | Analytics SAQL Developer Guide

arimax
Uses existing data to predict future data points. The arimax statement must follow a projection statement in your query. Perform any filtering pre-projection or after the arimax statement.

cogroup
Use cogroup to blend data from two or more data streams into a single data stream. The data streams must have at least one common field.

fill
Use fill() to fill in any gaps in date fields. You most often use fill() before using the timeseries statement. By specifying the date fields to check, fill() creates a row that contains the missing month, day, week, quarter, or year and includes a null value. To include values outside the bounds of your data’s date range, specify a start date and end date to override existing limits. The function returns the missing date rows with null values.

filter
Selects rows from a dataset based on a filter predicate.

foreach
Applies a set of expressions to every row in a dataset. This action is often referred to as projection.

group-by
Organizes the rows returned from a query into groups. Within each group, you can apply an aggregate function, such as count() or sum() to get the number of items or sum, respectively.

group-by rollup
rollup is a subclause of group-by that creates and displays aggregations of grouped data. The output of rollup is based on column order in your query.

join semi and anti
Use the join statement with the join_type to create semi-join or anti-join results.

limit
Limits the number of results that are returned. If you don’t set a limit, queries return a maximum of 10,000 rows.

load
Loads a dataset. All SAQL queries start with a load statement.

offset
Use offset to page through the results of your query.

order
Sorts in ascending or descending order on one or more fields.

sample
Returns a random sample from a large dataset, where each data point has an equal probability of being selected. This keyword uses the Bernoulli distribution.

timeseries
Uses existing data to predict future data points. The timeseries statement must follow a projection statement in your query. Perform any filtering pre-projection or after the timeseries statement.

union
Combines multiple result sets into one result set. The result sets must have the same field names and structure. You can use a different dataset to create each result set, or you can use the same dataset.