Join Plan With Nested Join - Advanced SQL Engine - Teradata Database

SQL Request and Transaction Processing

Product
Advanced SQL Engine
Teradata Database
Release Number
17.05
17.00
Published
June 2020
Language
English (United States)
Last Update
2021-01-24
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ykx1561500561173.ditamap
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dita:id
B035-1142
lifecycle
previous
Product Category
Teradata Vantageā„¢

About a Join Plan With Nested Join

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.