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Unable to execute Query in parallel for partitioned table

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Hi,

I am unable to execute the below in parallel plz suggest how can I achieve parallelism here.

select count(*) over () VIEWALLROWCOUNT,abc.*,ROW_NUMBER()  OVER (order by trn_transaction_date desc ) AS RowNumber from (
select * from transactions where trn_store_date_id=20201202) abc;

Query plan is as mentioned below :-

explain analyze select count(*) over () VIEWALLROWCOUNT,abc.*,ROW_NUMBER()  OVER (order by trn_transaction_date desc ) AS RowNumber from (
select * from transactions where trn_store_date_id=20201218) abc;
LOG:  duration: 25820.176 ms  statement: explain analyze select count(*) over () VIEWALLROWCOUNT,abc.*,ROW_NUMBER()  OVER (order by trn_transaction_date desc ) AS RowNumber from (
select * from transactions where trn_store_date_id=20201218) abc;
                                                                                              QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 WindowAgg  (cost=4474843.51..4498066.81 rows=774110 width=21297) (actual time=21455.495..25241.738 rows=795190 loops=1)
   ->  WindowAgg  (cost=4474843.51..4488390.44 rows=774110 width=21289) (actual time=10588.494..15311.865 rows=795190 loops=1)
         ->  Sort  (cost=4474843.51..4476778.79 rows=774110 width=21281) (actual time=10588.422..11771.300 rows=795190 loops=1)
               Sort Key: transactions.trn_transaction_date DESC
               Sort Method: external merge  Disk: 1496856kB
               ->  Result  (cost=0.00..270640.32 rows=774110 width=21281) (actual time=0.117..4504.159 rows=795190 loops=1)
                     ->  Append  (cost=0.00..262899.22 rows=774110 width=21281) (actual time=0.094..1449.532 rows=795190 loops=1)
                           ->  Seq Scan on transactions  (cost=0.00..0.00 rows=1 width=47554) (actual time=0.019..0.019 rows=0 loops=1)
                                 Filter: (trn_store_date_id = 20201218)
                           ->  Index Scan using idx_202012_trn_store_date_id on transactions_202012  (cost=0.56..259028.67 rows=774109 width=21281) (actual time=0.074..1357.764 rows=795190 loops=1)
                                 Index Cond: (trn_store_date_id = 20201218)
 Planning Time: 116.472 ms
 Execution Time: 25676.098 ms

Note :- We had tried different options like max_worker_processes, max_parallel_workers, max_parallel_workers_per_gather,max_parallel_maintenance_worker to execute it in parallel but no luck.

Please suggest.

Thanks

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