Vertica Analytics Platform Version 9.2.x Documentation

Window Framing

The window frame of an analytic function comprises a set of rows relative to the row that is currently being evaluated by the function. After the analytic function processes that row and its window frame, Vertica advances the current row and adjusts the frame boundaries accordingly. If the OVER clause also specifies a partition, Vertica also checks that frame boundaries do not cross partition boundaries. This process repeats until the function evaluates the last row of the last partition.

Specifying a Window Frame

You specify a window frame in the analytic function's OVER clause, as shown below. The window frame clause is set off in bold:

   [ window-partition-clause]
   { ROWS | RANGE } { BETWEEN start‑point AND end‑point } | start‑point

start‑point and end‑point specify the window frame's offset from the current row, as follows:

| constant-value {PRECEDING | FOLLOWING}

The keywords ROWS and RANGE specify whether the offset is physical or logical. If you specify only a start point, Vertica creates a window from that point to the current row.

For syntax details, see window-frame-clause in the SQL Reference Manual.


In order to specify a window frame, the OVER must also specify a window order (ORDER BY) clause. If the OVER clause includes a window order clause but omits specifying a window frame, the function creates a default frame that extends from the first row in the current partition to the current row. This is equivalent to the following clause:


Window Aggregate Functions

Analytic functions that support window frames are called window aggregates. They return information such as moving averages and cumulative results. To use the following functions as window (analytic) aggregates, instead of basic aggregates, the OVER clause must specify a window order clause and, optionally, a window frame clause. If the OVER clause omits specifying a window frame, the function creates a default window frame as described earlier.

The following analytic functions support window frames:

Functions FIRST_VALUE and LAST_VALUE also support window frames, but they are only analytic functions with no aggregate counterpart. EXPONENTIAL_MOVING_AVERAGE, LAG, and LEAD analytic functions do not support window frames.

A window aggregate with an empty OVER clause creates no window frame. The function is used as a reporting function, where all input is treated as a single partition.

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