Join Plan with Nested Join - 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„¢

Using nested joins, the Optimizer generates the following join plan:

Operation Joined Tables Total Processing Time
Spool 3:nested join (Hashed table_1, index table_2) 0.24 seconds
Spool 1:rowID join (Hashed spool_3, direct table_2) 0.22 seconds

The total estimated completion time is 0.46 seconds.

The estimated performance improvement factor is 9782.

EXPLAIN Output for Optimized Join Plan

The following partial EXPLAIN output is generated:

2) Next, we do an all-AMPs RETRIEVE step from test.tab1 by way of an
   all-rows scan with no residual conditions into Spool 2, which is
   redistributed by hash code to all AMPs. Then we do a SORT to order
   Spool 2 by row hash. The size of Spool 2 is estimated to be 2 rows.
   The estimated time for this step is 0.06 seconds.
3) We do a all-AMP JOIN step from Spool 2 (Last Use) by way of an
   all-rows scan, which is joined to test.tab2 by way of unique
   index #4 "test.tab2.y2 = test.tab1.y1" extracting row ids only.
   Spool 2 and test.tab2 are  joined using a nested join. The result
   goes into Spool 3, which is redistributed by hash code to all AMPs.
   Then we do a SORT to order Spool 3 by row hash. The size of Spool 3
   is estimated to be 2 rows. The estimated time for this step is 0.18
   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 test.tab2. Spool 3 and test.tab2
   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
   2 rows. The estimated time for this step is 0.22 seconds.