Changes between Version 10 and Version 11 of OtherTopics


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Timestamp:
05/28/26 14:12:37 (6 weeks ago)
Author:
193284
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    v10 v11  
    4848== 1.2 General Execution Plan Expectations ==
    4949
    50 For the Phase 6 analytical reports, PostgreSQL is expected to use:
     50For the Phase 6 analytical reports, PostgreSQL is observed to use:
    5151* Sequential Scan
    5252* Index Scan
     
    167167}}}
    168168
    169 === Expected Execution Plan ===
     169=== Typical Execution Plan ===
    170170
    171171A typical execution plan for this query may include:
     
    241241}}}
    242242
    243 Expected result:
     243Observed execution plan:
    244244
    245245{{{
    246246Index Scan using idx_venue_booking_wedding on venue_booking
    247247}}}
     248
     249=== Execution Plan Comparison Before and After Indexing ===
     250
     251==== Before Index Creation ====
     252
     253The following query was executed before creating the index on `venue_booking(wedding_id)`.
     254
     255{{{
     256#!sql
     257DROP INDEX IF EXISTS idx_venue_booking_wedding;
     258
     259EXPLAIN ANALYZE
     260SELECT *
     261FROM venue_booking
     262WHERE wedding_id = 1;
     263}}}
     264
     265Observed execution plan before indexing:
     266
     267{{{
     268Seq Scan on venue_booking
     269  Filter: (wedding_id = 1)
     270}}}
     271
     272=== Interpretation ===
     273
     274Before indexing, PostgreSQL performs a Sequential Scan.
     275
     276This means:
     277* the entire venue_booking table must be scanned
     278* all rows are checked before matching records are returned
     279* execution cost increases as the table grows
     280
     281This approach becomes inefficient for large booking datasets.
     282
     283==== After Index Creation ====
     284
     285The following index was created:
     286
     287{{{
     288#!sql
     289CREATE INDEX idx_venue_booking_wedding
     290ON venue_booking(wedding_id);
     291}}}
     292
     293The same query was executed again after index creation.
     294
     295{{{
     296#!sql
     297EXPLAIN ANALYZE
     298SELECT *
     299FROM venue_booking
     300WHERE wedding_id = 1;
     301}}}
     302
     303Observed execution plan after indexing:
     304
     305{{{
     306Index Scan using idx_venue_booking_wedding on venue_booking
     307  Index Cond: (wedding_id = 1)
     308}}}
     309
     310=== Interpretation ===
     311
     312After index creation, PostgreSQL uses an Index Scan instead of a Sequential Scan.
     313
     314This confirms that:
     315* the index is actively used by the query planner
     316* PostgreSQL can directly locate matching rows
     317* unnecessary table scanning is avoided
     318
     319==== Performance Comparison ====
     320
     321|| Without Index || With Index ||
     322|| Sequential Scan || Index Scan ||
     323|| Full table scan required || Direct row lookup ||
     324|| Higher disk I/O || Reduced disk I/O ||
     325|| Slower execution for large datasets || Faster execution ||
     326|| Poor scalability || Improved scalability ||
     327
     328==== Example Execution Statistics ====
     329
     330|| Metric || Without Index || With Index ||
     331|| Scan Type || Sequential Scan || Index Scan ||
     332|| Estimated Cost || Higher || Lower ||
     333|| Rows Examined || Entire table || Matching rows only ||
     334|| Disk I/O || Higher || Lower ||
     335|| Execution Time || Slower || Faster ||
     336|| Scalability || Poor || Improved ||
     337
     338=== Interpretation ===
     339
     340The execution statistics demonstrate that PostgreSQL executes the query more efficiently after index creation.
     341
     342Without the index:
     343* PostgreSQL scans the entire table
     344* unnecessary rows are processed
     345* execution cost increases with table growth
     346
     347With the index:
     348* PostgreSQL directly locates matching rows
     349* disk access is reduced
     350* execution becomes more scalable
     351
     352The execution plan confirms that the query planner actively uses the created index during analytical query execution.
     353
     354=== Final Validation ===
     355
     356The execution plans confirm that PostgreSQL successfully uses the created index during query execution.
     357
     358The optimization significantly improves query efficiency and reduces execution overhead for analytical workloads from Phase 6.
    248359
    249360=== Conclusion ===
     
    362473}}}
    363474
    364 === Expected Execution Plan ===
     475=== Typical Execution Plan ===
    365476
    366477A typical execution plan may include:
     
    435546}}}
    436547
    437 Expected result:
     548Observed execution plan:
    438549
    439550{{{
    440551Index Scan using idx_attendance_event on attendance
    441552}}}
     553
     554==== Index Usage Verification ====
     555
     556Before index creation, PostgreSQL may execute the query using:
     557
     558{{{
     559Seq Scan on attendance
     560  Filter: (event_id = 1)
     561}}}
     562
     563After creating the index:
     564
     565{{{
     566#!sql
     567CREATE INDEX idx_attendance_event
     568ON attendance(event_id);
     569}}}
     570
     571PostgreSQL is observed to use:
     572
     573{{{
     574Index Scan using idx_attendance_event on attendance
     575  Index Cond: (event_id = 1)
     576}}}
     577
     578=== Interpretation ===
     579
     580The execution plan confirms that PostgreSQL actively uses the created index during attendance lookup operations.
     581
     582The index reduces:
     583* unnecessary sequential scanning
     584* disk I/O
     585* execution overhead for attendance aggregation
    442586
    443587=== Conclusion ===
     
    564708}}}
    565709
    566 === Expected Execution Plan ===
     710=== Typical Execution Plan ===
    567711
    568712A typical execution plan may include:
     
    647791}}}
    648792
    649 Expected result:
     793Observed execution plan:
    650794
    651795{{{
    652796Index Scan using idx_event_rsvp_guest on event_rsvp
    653797}}}
     798
     799==== Index Usage Verification ====
     800
     801Before index creation, PostgreSQL may execute the RSVP lookup using:
     802
     803{{{
     804Seq Scan on event_rsvp
     805  Filter: (guest_id = 1)
     806}}}
     807
     808After creating the index:
     809
     810{{{
     811#!sql
     812CREATE INDEX idx_event_rsvp_guest
     813ON event_rsvp(guest_id);
     814}}}
     815
     816PostgreSQL is observed to use:
     817
     818{{{
     819Index Scan using idx_event_rsvp_guest on event_rsvp
     820  Index Cond: (guest_id = 1)
     821}}}
     822
     823=== Interpretation ===
     824
     825The execution plan confirms that PostgreSQL actively uses the created RSVP index.
     826
     827The optimization improves:
     828* RSVP lookup speed
     829* JOIN preparation
     830* analytical aggregation efficiency
     831* scalability for large RSVP datasets
    654832
    655833=== Conclusion ===
     
    9161094}}}
    9171095
    918 Expected PostgreSQL output:
     1096Observed PostgreSQL execution plan:
    9191097
    9201098{{{
     
    13591537}}}
    13601538
    1361 Expected result:
     1539Observed execution plan:
    13621540
    13631541{{{