TS_LAST_VALUE
Processes the data that belongs to each time slice. A time series aggregate (TSA) function, TS_LAST_VALUE
returns the value at the end of the time slice, where an interpolation scheme is applied if the timeslice is missing. In this case the value is determined by the values corresponding to the previous (and next) timeslices based on the interpolation scheme of const (linear).
TS_LAST_VALUE
returns one output row per time slice, or one output row per partition per time slice if partition expressions are specified.
Behavior Type
Syntax
TS_LAST_VALUE ( expression [ IGNORE NULLS ] [, { 'CONST'  'LINEAR' } ] )
Parameters
expression 
An 
IGNORE NULLS

The 
'CONST'  'LINEAR'

Specifies the interpolation value as constant or linear:

Requirements
You must use the ORDER BY
clause with a TIMESTAMP
column.
Multiple Time Series Aggregate Functions
The same query can call multiple time series aggregate functions. They share the same gapfilling policy as defined by the TIMESERIES Clause; however, each time series aggregate function can specify its own interpolation policy. For example:
=> SELECT slice_time, symbol, TS_FIRST_VALUE(bid, 'const
') fv_c, TS_FIRST_VALUE(bid, 'linear
') fv_l, TS_LAST_VALUE(bid, 'const
') lv_c FROM TickStore TIMESERIESslice_time AS '3 seconds
' OVER(PARTITION BY symbol ORDER BY ts);
Examples
See Gap Filling and Interpolation in Analyzing Data.