Thread: Postgres 17.4 is much slower than Postgres 15.12 using RECURSIVE

Postgres 17 version: PostgreSQL 17.4 on x86_64-pc-linux-gnu, compiled by Debian clang version 12.0.1, 64-bit

Postgres 15 version: PostgreSQL 15.12 on x86_64-pc-linux-gnu, compiled by Debian clang version 12.0.1, 64-bit

Description of Bug:

Using RECURSIVE in Postgres 17 is much slower than Postgres 15 

Postgres 17.4 : 6.533 seconds

Postgres 15.12: 1.564 seconds

Same table objects, same tables indexes, same number of records

I ran vacuum, analyze, reindex, and cache (pg_warm) on both Postgres 17 and 15. 

Note: I also used LATERAL, postgres 15 performance is superior than postgres17. Postgres15 timings is 2.3 compared to Postgres17 timings is avg 7 seconds.

SQL:

WITH RECURSIVE stock AS
(
SELECT  prod.order_book,
        prod.symbol,
        value::numeric(20,4),
        volume::numeric,
        prev_close_price::numeric(20,4),
        open_price::numeric(20,4),
        low_price::numeric(20,4),
        high_price::numeric(20,4),
        last_trade_price::numeric(20,4),
        avg_price::numeric(20,4),
        close_price::numeric(20,4),
        bestbidprice::numeric(20,4),
        bestbidsize::numeric(20,0),
        bestofferprice::numeric(20,4),
        bestoffersize::numeric(20,0),
       (((last_trade_price - prev_close_price)/prev_close_price)*100)::numeric(10,2) AS percentage
FROM vw_pse_traded_companies prod,
iq_get_stats_security_v1_4_4(prod.order_book,( 
    (   SELECT 
            DATE(d.added_date) AS DATE
        FROM 
            prod_itchbbo_s_small_message d
        ORDER BY 
            d.added_date DESC
        LIMIT 
            1))::TIMESTAMP without TIME zone)
WHERE 
  prod.group_name = 'N'
)
select * from stock where value is NOT NULL;


Server Info: Postgres 17

Server Info: Postgres 15


Query Performance:

Postgres 17:

QUERY PLAN
CTE Scan on stock  (cost=35697.80..43197.80 rows=373125 width=812) (actual time=28.778..6526.084 rows=241 loops=1)
  Filter: (value IS NOT NULL)
  Rows Removed by Filter: 138
  CTE stock
    ->  Nested Loop  (cost=68.11..35697.80 rows=375000 width=300) (actual time=4.819..6524.963 rows=379 loops=1)
          InitPlan 1
            ->  Limit  (cost=1.60..1.60 rows=1 width=12) (actual time=0.027..0.028 rows=1 loops=1)
                  ->  Sort  (cost=1.60..1.68 rows=34 width=12) (actual time=0.027..0.028 rows=1 loops=1)
                        Sort Key: d.added_date DESC
                        Sort Method: top-N heapsort  Memory: 25kB
                        ->  Seq Scan on prod_itchbbo_s_small_message d  (cost=0.00..1.43 rows=34 width=12) (actual time=0.004..0.008 rows=34 loops=1)
          ->  Sort  (cost=66.26..67.20 rows=375 width=4291) (actual time=0.442..0.666 rows=379 loops=1)
                Sort Key: info.order_book, listed.symbol
                Sort Method: quicksort  Memory: 42kB
                ->  Hash Join  (cost=18.62..50.23 rows=375 width=4291) (actual time=0.120..0.328 rows=379 loops=1)
                      Hash Cond: ((info.symbol)::text = (listed.symbol)::text)
                      ->  Seq Scan on prod_stock_information info  (cost=0.00..30.60 rows=380 width=12) (actual time=0.008..0.123 rows=380 loops=1)
                            Filter: ((group_name)::text = 'N'::text)
                            Rows Removed by Filter: 388
                      ->  Hash  (cost=13.83..13.83 rows=383 width=4) (actual time=0.082..0.082 rows=383 loops=1)
                            Buckets: 1024  Batches: 1  Memory Usage: 22kB
                            ->  Seq Scan on prod_pse_listed_companies listed  (cost=0.00..13.83 rows=383 width=4) (actual time=0.003..0.038 rows=383 loops=1)
          ->  Function Scan on iq_get_stats_security_v1_4_4  (cost=0.25..10.25 rows=1000 width=104) (actual time=17.197..17.197 rows=1 loops=379)
Planning Time: 0.999 ms
Execution Time: 6526.908 ms


Postgres 15:


QUERY PLAN
CTE Scan on stock  (cost=35697.80..43197.80 rows=373125 width=812) (actual time=7.746..1443.691 rows=241 loops=1)
  Filter: (value IS NOT NULL)
  Rows Removed by Filter: 138
  CTE stock
    ->  Nested Loop  (cost=68.11..35697.80 rows=375000 width=300) (actual time=2.426..1443.143 rows=379 loops=1)
          InitPlan 1 (returns $0)
            ->  Limit  (cost=1.60..1.60 rows=1 width=12) (actual time=0.015..0.016 rows=1 loops=1)
                  ->  Sort  (cost=1.60..1.68 rows=34 width=12) (actual time=0.014..0.014 rows=1 loops=1)
                        Sort Key: d.added_date DESC
                        Sort Method: top-N heapsort  Memory: 25kB
                        ->  Seq Scan on prod_itchbbo_s_small_message d  (cost=0.00..1.43 rows=34 width=12) (actual time=0.005..0.008 rows=34 loops=1)
          ->  Sort  (cost=66.26..67.20 rows=375 width=4291) (actual time=0.466..0.563 rows=379 loops=1)
                Sort Key: info.order_book, listed.symbol
                Sort Method: quicksort  Memory: 51kB
                ->  Hash Join  (cost=18.62..50.23 rows=375 width=4291) (actual time=0.131..0.357 rows=379 loops=1)
                      Hash Cond: ((info.symbol)::text = (listed.symbol)::text)
                      ->  Seq Scan on prod_stock_information info  (cost=0.00..30.60 rows=380 width=12) (actual time=0.009..0.146 rows=380 loops=1)
                            Filter: ((group_name)::text = 'N'::text)
                            Rows Removed by Filter: 388
                      ->  Hash  (cost=13.83..13.83 rows=383 width=4) (actual time=0.106..0.107 rows=383 loops=1)
                            Buckets: 1024  Batches: 1  Memory Usage: 22kB
                            ->  Seq Scan on prod_pse_listed_companies listed  (cost=0.00..13.83 rows=383 width=4) (actual time=0.005..0.061 rows=383 loops=1)
          ->  Function Scan on iq_get_stats_security_v1_4_4  (cost=0.25..10.25 rows=1000 width=104) (actual time=3.797..3.797 rows=1 loops=379)
Planning Time: 0.428 ms
Execution Time: 1443.823 ms

iq_get_stats_security_v1_4_4