ISFIRST (Azure Stream Analytics)
Returns 1 if the event is the first event within a given fixed interval, or 0 otherwise. The intervals are aligned the same way as tumbling windows (see Tumbling Window). ISFIRST is not affected by predicates in WHERE clause, join conditions in JOIN clause, or grouping expressions in GROUP BY clause of the current query. ).
Syntax
ISFIRST ( timeunit , duration )
[ OVER ( [PARTITION BY partition_by_expression] [WHEN when_expression]) ]
Arguments
timeunit
Is the unit of time for the duration. The following table lists all valid time unit values --- both full
names and abbreviations may be used in the query.
| Timeunit | Abbreviations |
|---|---|
| day | dd, d |
| hour | hh |
| minute | mi, n |
| second | ss, s |
| millisecond | ms |
| microsecond | mcs |
duration
A big integer which specifies the number of timeunits in the interval. For instance,
ISFIRST(minute, 15) will look at 15-minute intervals. The start times of the intervals are
aligned in the same way as in tumbling windows (see Tumbling Window (Azure Stream Analytics)).
[ OVER ( partition_by_clause [when_clause]) ]
The OVER clause specifies the subset of the events among which this event is ranked:
PARTITION BY partition_by_expression clause divides the result set produced by the FROM
clause into partitions to which the function is applied. In other words, each event is compared
only to such other events that share its value of partition_by_expression. If not specified, each
event is ranked with respect to all other events within the time interval.
WHEN when_expression clause specifies a boolean condition for the events to be considered.
In other words, each event is only ranked compared to such other events that satisfy
when_expression. If the event itself does not satisfy when_expression, the function returns 0.
The WHEN clause is optional.
Return Types
bigint (either ‘1’ or ‘0’ representing ‘true’ or ‘false’ respectively)
General Remarks
ISFIRST is nondeterministic. Events are processed in temporal order. If there are several events with the same time stamp events are processed in the order of arrival.
Applying ISFIRST on the result set of a windowing function may produce unexpected results. Windowing functions alter the timestamp of events, as every window operation outputs event at the end of the window. The current timestamp of an event can be accessed with system.timestamp(), after a window operation it will differ from the original event time attribute. If ISFIRST can't be moved before the window operation, consider using CollectTop, ordering by the original event time.
Examples
Indicate whether a sensor reading event is the first within 10 minute tumbling intervals:
SELECT
reading,
ISFIRST(mi, 10) as first
FROM Input
Indicate whether an event is the first within 10 minute tumbling intervals per deviceid:
SELECT
deviceid,
reading,
ISFIRST(mi, 10) OVER (PARTITION BY deviceid) as first
FROM Input
Indicate whether an event is the first event with value greater than 50 within 10 minute tumbling intervals
per deviceid:
SELECT
deviceid,
reading,
ISFIRST(mi, 10) OVER (PARTITION BY deviceid WHEN reading > 50 AND devicetype = 'thermostat') as firstAbove,
ISFIRST(mi, 10) OVER (PARTITION BY deviceid WHEN reading < 50 AND devicetype = 'thermostat') as firstUnder
FROM Input
WHERE
devicetype = 'thermostat'