Example: Aggregate and Ordered Analytic Function Usage - Teradata VantageCloud Lake

Lake - Working with SQL

Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Published
February 2025
ft:locale
en-US
ft:lastEdition
2025-11-21
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jbe1714339405530.ditamap
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pny1626732985837.ditaval
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jbe1714339405530

The first recursive view definition demonstrates the valid use of an ordered analytic function, which is bold. The usage is valid because it is within the seed statement rather than the recursive statement of the definition.

    CREATE RECURSIVE VIEW reachable_from (source, destination, cost,
                           depth) AS (
      SELECT source, destination,  MSUM(flights.cost, 25,              flights.destination),  0 AS depth
      FROM flights
    UNION ALL
      SELECT in1.source, out1.destination, in1.cost + out1.cost,
             in1.depth + 1
      FROM reachable_from in1, flights AS out1
      WHERE in1.destination = out1.source
      AND   in1.depth <= 100);

The second recursive view definition demonstrates a non-valid use of the same ordered analytic function, which is again bold. The usage is not valid because it is within the recursive statement rather than the seed statement of the definition.

    CREATE RECURSIVE VIEW oaf_problem (source, destination, mcost,
                           depth) AS (
      SELECT source, destination, MSUM(cost, 25, destination), 
             0 AS depth
      FROM flights
    UNION ALL
      SELECT in1.source, out1.destination, 
             MSUM(in1.mcost + out1.cost, 25, out1.destination), 
              in1.depth + 1
      FROM oaf_problem AS in1, flights AS out1
      WHERE in1.destination = out1.source
      AND   in1.depth <= 100;