PostgreSQL
 sql >> डेटाबेस >  >> RDS >> PostgreSQL

पोस्टग्रेस 'सीटीई बनाम सबक्वायरी प्रदर्शन अंतर। क्यों?

जैसा कि @CraigRinger ने कहा, मुझे विश्लेषण की भी जाँच करनी चाहिए थी। वास्तव में, "व्याख्या विश्लेषण" से हम देखते हैं कि पहला है:

Aggregate  (cost=58406.66..58406.67 rows=1 width=8) (actual time=138191.294..138191.295 rows=1 loops=1)
 CTE subq
   ->  Bitmap Heap Scan on atlas_sezioni2 a  (cost=9.93..51052.46 rows=20900 width=236211) (actual time=2.814..308.667 rows=3705 loops=1)
         Recheck Cond: (ace = 1)
         Filter: ((pro_com = 15146::numeric) AND ((code)::text = ANY ('{11100,11210,11220,11230,11240,11300,12100,14200}'::text[])))
         Rows Removed by Filter: 4
         Heap Blocks: exact=42
         ->  Bitmap Index Scan on atlas_sezioni2_ace_idx  (cost=0.00..9.88 rows=251 width=0) (actual time=0.110..0.110 rows=251 loops=1)
               Index Cond: (ace = 1)
         SubPlan 1
           ->  Limit  (cost=240.70..240.74 rows=15 width=236190) (actual time=0.630..0.636 rows=15 loops=247)
                 ->  Sort  (cost=240.70..240.87 rows=69 width=236190) (actual time=0.627..0.630 rows=15 loops=247)
                       Sort Key: ((a.geom <-> v.geom))
                       Sort Method: top-N heapsort  Memory: 26kB
                       ->  Bitmap Heap Scan on atlas_sezioni2 v  (cost=4.56..239.01 rows=69 width=236190) (actual time=0.045..0.518 rows=73 loops=247)
                             Recheck Cond: ((code)::text = '12230'::text)
                             Filter: (((a.code)::text <> (code)::text) AND (a.pro_com = pro_com))
                             Heap Blocks: exact=6916
                             ->  Bitmap Index Scan on atlas_sezioni2_code_idx  (cost=0.00..4.55 rows=73 width=0) (actual time=0.030..0.030 rows=73 loops=247)
                                   Index Cond: ((code)::text = '12230'::text)
 ->  Unique  (cost=7247.20..7351.70 rows=200 width=72) (actual time=138190.527..138191.243 rows=247 loops=1)
       ->  Sort  (cost=7247.20..7299.45 rows=20900 width=72) (actual time=138190.526..138190.800 rows=3705 loops=1)
             Sort Key: subq.n, (_st_distance(geography(subq.g1), geography(subq.g2), 0::double precision, false))
             Sort Method: quicksort  Memory: 270kB
             ->  CTE Scan on subq  (cost=0.00..5747.50 rows=20900 width=72) (actual time=159.739..138182.891 rows=3705 loops=1)
 Planning time: 2.623 ms
 Execution time: 138217.574 ms
(27 rows)

जबकि सबक्वेरी एक है:

Aggregate  (cost=6387362.91..6387362.92 rows=1 width=8) (actual time=140208.005..140208.005 rows=1 loops=1)
 ->  Unique  (cost=6386997.16..6387101.66 rows=20900 width=236230) (actual time=140207.243..140207.947 rows=247 loops=1)
       ->  Sort  (cost=6386997.16..6387049.41 rows=20900 width=236230) (actual time=140207.241..140207.514 rows=3705 loops=1)
             Sort Key: subq.n, (_st_distance(geography(subq.g1), geography(subq.g2), 0::double precision, false))
             Sort Method: quicksort  Memory: 270kB
             ->  Subquery Scan on subq  (cost=9.93..56590.96 rows=20900 width=236230) (actual time=160.784..140199.364 rows=3705 loops=1)
                   ->  Bitmap Heap Scan on atlas_sezioni2 a  (cost=9.93..51052.46 rows=20900 width=236211) (actual time=2.384..308.517 rows=3705 loops=1)
                         Recheck Cond: (ace = 1)
                         Filter: ((pro_com = 15146::numeric) AND ((code)::text = ANY ('{11100,11210,11220,11230,11240,11300,12100,14200}'::text[])))
                         Rows Removed by Filter: 4
                         Heap Blocks: exact=42
                         ->  Bitmap Index Scan on atlas_sezioni2_ace_idx  (cost=0.00..9.88 rows=251 width=0) (actual time=0.150..0.150 rows=251 loops=1)
                               Index Cond: (ace = 1)
                         SubPlan 1
                           ->  Limit  (cost=240.70..240.74 rows=15 width=236190) (actual time=0.640..0.646 rows=15 loops=247)
                                 ->  Sort  (cost=240.70..240.87 rows=69 width=236190) (actual time=0.637..0.640 rows=15 loops=247)
                                       Sort Key: ((a.geom <-> v.geom))
                                       Sort Method: top-N heapsort  Memory: 26kB
                                       ->  Bitmap Heap Scan on atlas_sezioni2 v  (cost=4.56..239.01 rows=69 width=236190) (actual time=0.045..0.527 rows=73 loops=247)
                                             Recheck Cond: ((code)::text = '12230'::text)
                                             Filter: (((a.code)::text <> (code)::text) AND (a.pro_com = pro_com))
                                             Heap Blocks: exact=6916
                                             ->  Bitmap Index Scan on atlas_sezioni2_code_idx  (cost=0.00..4.55 rows=73 width=0) (actual time=0.031..0.031 rows=73 loops=247)
                                                   Index Cond: ((code)::text = '12230'::text)
 Planning time: 1.117 ms
 Execution time: 140208.187 ms

तो यह केवल व्याख्या में बेहतर प्रदर्शन करता है :)। वास्तविक प्रदर्शन नहीं बदलता है।




  1. Database
  2.   
  3. Mysql
  4.   
  5. Oracle
  6.   
  7. Sqlserver
  8.   
  9. PostgreSQL
  10.   
  11. Access
  12.   
  13. SQLite
  14.   
  15. MariaDB
  1. Postgres सबसे अच्छा डेटाबेस है - कारण # 2:लाइसेंस

  2. django एकत्रीकरण की तारीख से महीने प्राप्त कर रहा है

  3. पोस्टग्रेज़ सभी सरणी मानों को एक ही कॉलम के साथ और शर्त के साथ मेल खाते हैं

  4. विशिष्ट स्थिति और उचित लीड () उपयोग पर SQL अंतर कूदें

  5. Posgres 9.5 में क्लूज़ के साथ अप्सर्ट का उपयोग करते समय सम्मिलित पंक्ति की आईडी कैसे प्राप्त करें?