All OPAL verbs

Opal verbs process sets of rows of columns.

Verb	Description
add_key	Add a candidate key to the output.
aggregate	Aggregates metrics across tag dimensions.
align	Align raw metrics onto a time grid (defined by the input period) by aggregating nearby data points together.
always	When the verb input is a Resource dataset, always selects all resources that matched the predicate at all times.
bottomk	Selects all data for each of bottom k ranked groups.
dedup	dedup collapses all rows in a Table, Event, or Interval dataset with identical values in specified columns and with identical
drop_col	Exclude one or more columns from the input dataset to the output dataset.
ever	When the verb input is a Resource dataset, ever selects all resources that at some point matched the predicate.
exists	Return the rows from the default dataset that have a match anywhere in the query time window.
extract_regex	Add one or more columns by matching capture names in a regular expression against a given source expression.
filter	Exclude rows from the input dataset that do not match the given predicate expression.
flatten	Given an input of object or array type, recursively flatten all child elements into ‘_c_NAME_path’ and ‘_c_NAME_value’ columns
flatten_all	Given an input of object or array type, recursively flatten all child elements into ‘_c_NAME_path’ and ‘_c_NAME_value’ columns
flatten_leaves	Given an input of object or array type, recursively flatten all child elements into ‘_c_NAME_path’ and ‘_c_NAME_value’ columns
flatten_single	Given an input of object or array type, flatten the first level of child elements into ‘_c_NAME_path’ and ‘_c_NAME_value’ columns.
follow	Return the rows from the additional joined dataset that have a match anywhere in the query time window.
fulljoin	Temporal full join, adding new columns in the output dataset.
interface	Map fields of this dataset to a pre-defined interface.
join	Temporal inner join, adding new columns in the output dataset.
leftjoin	Temporal left join, adding new columns in the output dataset.
limit	Select the first count rows based on the current ordering of the input and filter out the rest.
lookaround_join	Lookaround join is a type of inner join.
lookup	Find matching rows in a Resource or Interval dataset, making new columns in the output dataset.
make_col	Add one or more new columns from the input dataset to the output dataset.
make_event	Creates an Event dataset from an input Table, Interval, or Resource dataset.
make_interval	Creates an Interval dataset from an input Table or Event dataset.
make_resource	Creates a Resource dataset from an input Event or Interval dataset.
make_session	Group events or intervals that are close to each other into sessions, and calculate aggregations over each session.
make_table	Creates a Table dataset from an input Event, Interval, or Resource dataset.
merge_events	Merge consecutive events into new events based on merge conditions.
never	When the verb input is a Resource dataset, never selects all resources that at no point matched the predicate.
pick_col	Exclude all columns except the specified columns from the input dataset to the output dataset.
rename_col	Include all columns while renaming the specified columns from the input dataset to the output dataset.
rollup	Rollup raw metrics into aligned metrics
set_col_enum	Mark columns as enumerations, or not, by name.
set_col_immutable	Mark resource columns as time immutable (time-invariant), or not.
set_col_visible	Show or hide columns by name.
set_label	Declare the ‘label’ of the output to be the designated column.
set_link	Add a foreign key to the output.
set_metric	Register a metric, with its metadata defined in an options object.
set_primary_key	Declare the primary key of the output as consisting of one or more named columns.
set_valid_from	Declare the valid from of the output to be the named column.
set_valid_to	Declare the ‘valid to’ of the output to be the named column.
sort	Sort rows in the dataset based on ordering functions applied to column fields or column name provided as arguments.
statsby	Calculate statistics of columns with aggregate functions, based on (optional) grouping columns.
surrounding	Rows from the “right” dataset that fall within the specified frame of at least one row in the default dataset are unioned with the
timechart	Bin (in time) and aggregate point or interval table columns through time, based on (optional) grouping columns.
timestats	Aggregate resource columns at every point in time, based on (optional) grouping columns.
topk	Selects all data for each of top k ranked groups.
union	Create a new dataset consisting of the rows from the main input and each of the arguments.
unset_all_links	Drop all outbound links without having to specify the individual labels.
unset_keys	Remove the primary and candidate key declarations from the dataset.
unset_link	Drop a foreign key by specifying the foreign keys label.
update_resource	Update the current resource by merging an event (or point) table with it.

Aliases

Aliases work as alternative names for their main verb. Users of certain other query languages may be more comfortable with these alternative names. Alias names on this list can always be used whenever the main name can be used.

Alias Name	Main Name
distinct	dedup
set_pk	set_primary_key
bucketize	timechart