BRIN index is only on the date_time column, I even tried with btree index
with no performance gains.

On Fri, Jun 4, 2021 at 11:23 AM Pavel Stehule <pavel.steh...@gmail.com>
wrote:

>
>
> pá 4. 6. 2021 v 10:07 odesílatel Ayub Khan <ayub...@gmail.com> napsal:
>
>>
>> below query is slow even with no data
>>
>>
>> explain ANALYZE
>>
>> WITH business AS( SELECT * FROM get_businessday_utc_f()  start_date)
>>  SELECT ro.order_id,
>>     ro.date_time,
>>     round(ro.order_amount, 2) AS order_amount,
>>     b.branch_id,
>>     b.branch_name,
>>     st_x(b.location) AS from_x,
>>     st_y(b.location) AS from_y,
>>     b.user_id AS branch_user_id,
>>     b.contact_info,
>>     r.restaurant_id,
>>    c.city_id,
>>    c.city_name,
>>    c.city_name_ar,
>>    st_linefromtext(((((((('LINESTRING('::text || st_x(b.location)) || ' 
>> '::text) || st_y(b.location)) || ','::text) || st_x(ro.location_geometry)) 
>> || ' '::text) || st_y(ro.location_geometry)) || ')'::text, 28355) AS from_to,
>>    to_char(ro.date_time, 'HH24:MI'::text) AS order_time,
>>    ro.customer_comment,
>>    'N'::text AS is_new_customer,
>>    ro.picked_up_time,
>>    ro.driver_assigned_date_time,
>>    oom.offer_amount,
>>     oom.offer_type_code AS offer_type,
>>    ro.uk_vat
>>  FROM business, restaurant_order ro
>>
>>  JOIN branch b ON b.branch_id = ro.branch_id
>> JOIN restaurant r ON r.restaurant_id = b.restaurant_id
>>  JOIN city c ON c.city_id = b.city_id
>> LEFT JOIN order_offer_map oom using (order_id)
>> WHERE ro.date_time >= business.start_date AND ro.date_time<= 
>> f_now_immutable_with_tz();
>>
>>
>>
>> Hash Left Join  (cost=55497.32..5417639.59 rows=5397276 width=291) (actual 
>> time=1056.926..1056.934 rows=0 loops=1)
>>   Hash Cond: (ro.order_id = oom.order_id)
>>   ->  Hash Join  (cost=6584.61..3674143.44 rows=5397276 width=209) (actual 
>> time=1056.926..1056.932 rows=0 loops=1)
>>         Hash Cond: (ro.branch_id = b.branch_id)
>>         ->  Nested Loop  (cost=5427.94..3546726.47 rows=19275986 width=108) 
>> (actual time=1036.809..1036.810 rows=0 loops=1)
>>               ->  Function Scan on start_date  (cost=0.00..0.01 rows=1 
>> width=8) (actual time=0.006..0.008 rows=1 loops=1)
>>               ->  Bitmap Heap Scan on restaurant_order ro  
>> (cost=5427.94..3353966.60 rows=19275986 width=108) (actual 
>> time=1036.793..1036.793 rows=0 loops=1)
>>                     Recheck Cond: ((date_time >= start_date.start_date) AND 
>> (date_time <= '2021-06-04 08:05:32.784199+00'::timestamp with time zone))
>>                     Rows Removed by Index Recheck: 5039976
>>                     Heap Blocks: lossy=275230
>>                     ->  Bitmap Index Scan on rest_ord_date_brin  
>> (cost=0.00..608.94 rows=19359111 width=0) (actual time=14.037..14.038 
>> rows=2917120 loops=1)
>>                           Index Cond: ((date_time >= start_date.start_date) 
>> AND (date_time <= '2021-06-04 08:05:32.784199+00'::timestamp with time zone))
>>         ->  Hash  (cost=1083.35..1083.35 rows=5866 width=109) (actual 
>> time=20.106..20.109 rows=20949 loops=1)
>>               Buckets: 32768 (originally 8192)  Batches: 1 (originally 1)  
>> Memory Usage: 3112kB
>>               ->  Hash Join  (cost=343.29..1083.35 rows=5866 width=109) 
>> (actual time=1.620..14.539 rows=20949 loops=1)
>>                     Hash Cond: (b.restaurant_id = r.restaurant_id)
>>                     ->  Hash Join  (cost=2.26..726.91 rows=5866 width=109) 
>> (actual time=0.029..8.597 rows=20949 loops=1)
>>                           Hash Cond: (b.city_id = c.city_id)
>>                           ->  Seq Scan on branch b  (cost=0.00..668.49 
>> rows=20949 width=88) (actual time=0.004..1.609 rows=20949 loops=1)
>>                           ->  Hash  (cost=1.56..1.56 rows=56 width=29) 
>> (actual time=0.020..0.021 rows=56 loops=1)
>>                                 Buckets: 1024  Batches: 1  Memory Usage: 12kB
>>                                 ->  Seq Scan on city c  (cost=0.00..1.56 
>> rows=56 width=29) (actual time=0.004..0.010 rows=56 loops=1)
>>                     ->  Hash  (cost=233.42..233.42 rows=8609 width=8) 
>> (actual time=1.575..1.575 rows=8609 loops=1)
>>                           Buckets: 16384  Batches: 1  Memory Usage: 465kB
>>                           ->  Index Only Scan using 
>> "restaurant_idx$$_274b003d" on restaurant r  (cost=0.29..233.42 rows=8609 
>> width=8) (actual time=0.006..0.684 rows=8609 loops=1)
>>                                 Heap Fetches: 0
>>   ->  Hash  (cost=33000.09..33000.09 rows=1273009 width=13) (never executed)
>>         ->  Seq Scan on order_offer_map oom  (cost=0.00..33000.09 
>> rows=1273009 width=13) (never executed)
>> Planning Time: 1.180 ms
>> Execution Time: 1057.535 ms
>>
>> could some one explain why it is slow, if I insert 50k records the execution 
>> time reaches 20 seconds
>>
>>
>               ->  Bitmap Heap Scan on restaurant_order ro
>  (cost=5427.94..3353966.60 rows=19275986 width=108) (actual
> time=1036.793..1036.793 rows=0 loops=1)
>                     Recheck Cond: ((date_time >= start_date.start_date)
> AND (date_time <= '2021-06-04 08:05:32.784199+00'::timestamp with time
> zone))
>                     Rows Removed by Index Recheck: 5039976
>                     Heap Blocks: lossy=275230
>                     ->  Bitmap Index Scan on rest_ord_date_brin
>  (cost=0.00..608.94 rows=19359111 width=0) (actual time=14.037..14.038
> rows=2917120 loops=1)
>                           Index Cond: ((date_time >=
> start_date.start_date) AND (date_time <= '2021-06-04
> 08:05:32.784199+00'::timestamp with time zone))
>
> Looks so the BRIN index is not in good condition. Maybe you need reindex,
> maybe BRIN index is not good format for your data.
>
> There are lot of data - few millions of rows
>
> Regards
>
> Pavel
>
>

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