Reasonable Indexed Join Plan with Star Join Optimization and a Fact Table USI - Analytics Database - Teradata Vantage

SQL Request and Transaction Processing

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2024-10-04
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lifecycle
latest
Product Category
Teradata Vantageā„¢

With join optimization, the following join plan is generated when the collection of join columns (color, size, and options) makes up a unique secondary index of the large table:

Operation Joined Tables Total Processing Time (seconds)
Spool 3: Product Join Duplicated color, direct options 0.31
Spool 5: Product Join Duplicated size, direct 3 1.62
Spool 6: Nested Join Hashed 5, index widgets 2.71
Spool 1: rowID Join Hashed 6, index widgets 5.65

Completion Time

The total estimated time is 10.07 seconds.

The estimated performance improvement factor is 667.

EXPLAIN Output for Optimized Join Plan

Part of the EXPLAIN output for this optimized join plan follows.

2) Next, we do an all-AMPs RETRIEVE step from TEST.Color by way of an
   all-rows scan with no residual conditions into Spool 2, which is
   duplicated on all AMPs. The size of Spool 2 is estimated to be 4
   rows. The estimated time for this step is 0.08 seconds.
3) We execute the following steps in parallel.
   a) We do an all-AMPs JOIN step from Spool 2 (Last Use) by way of an
      all-rows scan, which is joined to TEST.Options. Spool 2 and
      TEST.Options are joined using a product join. The result goes
      into Spool 3, which is built locally on the AMPs. The size of
      Spool 3 is estimated to be 20 rows. The estimated time for this
      step is 0.23 seconds.
   b) We do an all-AMPs RETRIEVE step from TEST.Size by way of an
      all-rows scan with no residual conditions into Spool 4, which is
      duplicated on all AMPs. The size of Spool 4 is estimated to be 20
      rows. The estimated time for this step is 0.24 seconds.
4) We do an all-AMPs JOIN step from Spool 3 (Last Use) by way of an
   all-rows scan, which is joined to Spool 4 (Last Use). Spool 3 and
   Spool 4 are joined using a product join. The result goes into Spool
   5, which is redistributed by hash code to all AMPs. Then we do a
   SORT to order Spool 5 by row hash. The size of Spool 5 is estimated
   to be 200 rows. The estimated time for this step is 1.38 seconds.
5) We do a all-AMP JOIN step from Spool 5 (Last Use) by way of an
   all-rows scan, which is joined to TEST.Widgets by way of unique
   index # 4 extracting row ids only. Spool 5 and TEST.Widgets are
   joined using a nested join. The result goes into Spool 6, which is
   redistributed by hash code to all AMPs. Then we do a SORT to order
   Spool 6 by row hash. The size of Spool 6 is estimated to be 200
   rows. The estimated time for this step is 2.71 seconds.
6) We do an all-AMPs JOIN step from Spool 6 (Last Use) by way of an
   all-rows scan, which is joined to TEST.Widgets. Spool 6 and
   TEST.Widgets are joined using a row id join. The result goes into
   Spool 1, which is built locally on the AMPs. The size of Spool 1 is
   estimated to be 200 rows. The estimated time for this step is 5.65
   seconds.