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[test](Nereids) uncomment tpcds shape check #21292

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31 changes: 16 additions & 15 deletions regression-test/data/nereids_tpcds_shape_sf100_p0/shape/query13.out
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Original file line number Diff line number Diff line change
Expand Up @@ -15,22 +15,23 @@ hashAgg[GLOBAL]
--------------------PhysicalOlapScan[date_dim]
----------------PhysicalDistribute
------------------PhysicalProject
--------------------hashJoin[INNER_JOIN](customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)((((((cast(cd_marital_status as VARCHAR(*)) = 'D') AND (cast(cd_education_status as VARCHAR(*)) = 'Unknown')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) AND (household_demographics.hd_dep_count = 3)) OR ((((cast(cd_marital_status as VARCHAR(*)) = 'S') AND (cast(cd_education_status as VARCHAR(*)) = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) AND (household_demographics.hd_dep_count = 1))) OR ((((cast(cd_marital_status as VARCHAR(*)) = 'M') AND (cast(cd_education_status as VARCHAR(*)) = '4 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))) AND (household_demographics.hd_dep_count = 1)))
--------------------hashJoin[INNER_JOIN](store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)((((((cast(cd_marital_status as VARCHAR(*)) = 'D') AND (cast(cd_education_status as VARCHAR(*)) = 'Unknown')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) AND (household_demographics.hd_dep_count = 3)) OR ((((cast(cd_marital_status as VARCHAR(*)) = 'S') AND (cast(cd_education_status as VARCHAR(*)) = 'College')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) AND (household_demographics.hd_dep_count = 1))) OR ((((cast(cd_marital_status as VARCHAR(*)) = 'M') AND (cast(cd_education_status as VARCHAR(*)) = '4 yr Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))) AND (household_demographics.hd_dep_count = 1)))
----------------------PhysicalProject
------------------------filter(((((cast(cd_marital_status as VARCHAR(*)) = 'D') AND (cast(cd_education_status as VARCHAR(*)) = 'Unknown')) OR ((cast(cd_marital_status as VARCHAR(*)) = 'S') AND (cast(cd_education_status as VARCHAR(*)) = 'College'))) OR ((cast(cd_marital_status as VARCHAR(*)) = 'M') AND (cast(cd_education_status as VARCHAR(*)) = '4 yr Degree'))))
--------------------------PhysicalOlapScan[customer_demographics]
------------------------filter(((household_demographics.hd_dep_count = 3) OR (household_demographics.hd_dep_count = 1)))
--------------------------PhysicalOlapScan[household_demographics]
----------------------PhysicalDistribute
------------------------hashJoin[INNER_JOIN](store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
--------------------------PhysicalProject
----------------------------filter(((household_demographics.hd_dep_count = 3) OR (household_demographics.hd_dep_count = 1)))
------------------------------PhysicalOlapScan[household_demographics]
--------------------------PhysicalDistribute
----------------------------hashJoin[INNER_JOIN](store_sales.ss_addr_sk = customer_address.ca_address_sk)(((ca_state IN ('SD', 'KS', 'MI') AND ((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00))) OR (ca_state IN ('MO', 'ND', 'CO') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00)))) OR (ca_state IN ('NH', 'OH', 'TX') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))))
------------------------------PhysicalProject
--------------------------------filter(((((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00)))((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
----------------------------------PhysicalOlapScan[store_sales]
------------------------------PhysicalDistribute
------------------------PhysicalProject
--------------------------hashJoin[INNER_JOIN](customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)
----------------------------PhysicalProject
------------------------------filter(((((cast(cd_marital_status as VARCHAR(*)) = 'D') AND (cast(cd_education_status as VARCHAR(*)) = 'Unknown')) OR ((cast(cd_marital_status as VARCHAR(*)) = 'S') AND (cast(cd_education_status as VARCHAR(*)) = 'College'))) OR ((cast(cd_marital_status as VARCHAR(*)) = 'M') AND (cast(cd_education_status as VARCHAR(*)) = '4 yr Degree'))))
--------------------------------PhysicalOlapScan[customer_demographics]
----------------------------PhysicalDistribute
------------------------------hashJoin[INNER_JOIN](store_sales.ss_addr_sk = customer_address.ca_address_sk)(((ca_state IN ('SD', 'KS', 'MI') AND ((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00))) OR (ca_state IN ('MO', 'ND', 'CO') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00)))) OR (ca_state IN ('NH', 'OH', 'TX') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00))))
--------------------------------PhysicalProject
----------------------------------filter((customer_address.ca_country = 'United States')((ca_state IN ('SD', 'KS', 'MI') OR ca_state IN ('MO', 'ND', 'CO')) OR ca_state IN ('NH', 'OH', 'TX')))
------------------------------------PhysicalOlapScan[customer_address]
----------------------------------filter(((((store_sales.ss_net_profit >= 100.00) AND (store_sales.ss_net_profit <= 200.00)) OR ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 300.00))) OR ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 250.00)))((((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00)) OR ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00))) OR ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))
------------------------------------PhysicalOlapScan[store_sales]
--------------------------------PhysicalDistribute
----------------------------------PhysicalProject
------------------------------------filter((customer_address.ca_country = 'United States')((ca_state IN ('SD', 'KS', 'MI') OR ca_state IN ('MO', 'ND', 'CO')) OR ca_state IN ('NH', 'OH', 'TX')))
--------------------------------------PhysicalOlapScan[customer_address]

2 changes: 1 addition & 1 deletion regression-test/data/nereids_tpcds_shape_sf100_p0/shape/query16.out
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Expand Up @@ -15,7 +15,7 @@ PhysicalTopN
------------------PhysicalProject
--------------------hashJoin[INNER_JOIN](cs1.cs_ship_date_sk = date_dim.d_date_sk)
----------------------PhysicalProject
------------------------filter((cast(d_date as DATETIMEV2(0)) <= cast(days_add(cast('2002-4-01' as DATE), INTERVAL 60 DAY) as DATETIMEV2(0)))(date_dim.d_date >= 2002-04-01))
------------------------filter((cast(d_date as DATETIMEV2(0)) <= cast(days_add(cast('2002-4-01' as DATEV2), INTERVAL 60 DAY) as DATETIMEV2(0)))(date_dim.d_date >= 2002-04-01))
--------------------------PhysicalOlapScan[date_dim]
----------------------PhysicalDistribute
------------------------PhysicalProject
Expand Down
61 changes: 31 additions & 30 deletions regression-test/data/nereids_tpcds_shape_sf100_p0/shape/query17.out
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Expand Up @@ -8,40 +8,41 @@ PhysicalTopN
----------PhysicalDistribute
------------hashAgg[LOCAL]
--------------PhysicalProject
----------------hashJoin[INNER_JOIN](store.s_store_sk = store_sales.ss_store_sk)
----------------hashJoin[INNER_JOIN](catalog_sales.cs_sold_date_sk = d3.d_date_sk)
------------------PhysicalProject
--------------------PhysicalOlapScan[store]
------------------PhysicalDistribute
--------------------hashJoin[INNER_JOIN](item.i_item_sk = store_sales.ss_item_sk)
--------------------hashJoin[INNER_JOIN](store_returns.sr_item_sk = catalog_sales.cs_item_sk)(store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk)
----------------------PhysicalProject
------------------------PhysicalOlapScan[item]
------------------------PhysicalOlapScan[catalog_sales]
----------------------PhysicalDistribute
------------------------PhysicalProject
--------------------------hashJoin[INNER_JOIN](catalog_sales.cs_sold_date_sk = d3.d_date_sk)
----------------------------PhysicalProject
------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
--------------------------------PhysicalOlapScan[date_dim]
----------------------------PhysicalDistribute
------------------------------PhysicalProject
--------------------------------hashJoin[INNER_JOIN](store_returns.sr_item_sk = catalog_sales.cs_item_sk)(store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk)
----------------------------------PhysicalProject
------------------------------------PhysicalOlapScan[catalog_sales]
----------------------------------PhysicalDistribute
------------------------hashJoin[INNER_JOIN](store.s_store_sk = store_sales.ss_store_sk)
--------------------------PhysicalProject
----------------------------hashJoin[INNER_JOIN](item.i_item_sk = store_sales.ss_item_sk)
------------------------------PhysicalDistribute
--------------------------------PhysicalProject
----------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
------------------------------------PhysicalProject
--------------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
--------------------------------------hashJoin[INNER_JOIN](store_sales.ss_item_sk = store_returns.sr_item_sk)(store_sales.ss_ticket_number = store_returns.sr_ticket_number)(store_sales.ss_customer_sk = store_returns.sr_customer_sk)
----------------------------------------PhysicalProject
------------------------------------------hashJoin[INNER_JOIN](store_sales.ss_item_sk = store_returns.sr_item_sk)(store_sales.ss_ticket_number = store_returns.sr_ticket_number)(store_sales.ss_customer_sk = store_returns.sr_customer_sk)
--------------------------------------------PhysicalProject
----------------------------------------------PhysicalOlapScan[store_returns]
--------------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
----------------------------------------------PhysicalProject
------------------------------------------------PhysicalOlapScan[store_sales]
----------------------------------------------PhysicalDistribute
------------------------------------------------PhysicalProject
--------------------------------------------------filter((cast(d_quarter_name as VARCHAR(*)) = '2001Q1'))
----------------------------------------------------PhysicalOlapScan[date_dim]
----------------------------------------PhysicalDistribute
------------------------------------------PhysicalOlapScan[store_returns]
----------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
------------------------------------------PhysicalProject
--------------------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
----------------------------------------------PhysicalOlapScan[date_dim]
--------------------------------------------PhysicalOlapScan[store_sales]
------------------------------------------PhysicalDistribute
--------------------------------------------PhysicalProject
----------------------------------------------filter((cast(d_quarter_name as VARCHAR(*)) = '2001Q1'))
------------------------------------------------PhysicalOlapScan[date_dim]
------------------------------------PhysicalDistribute
--------------------------------------PhysicalProject
----------------------------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
------------------------------------------PhysicalOlapScan[date_dim]
------------------------------PhysicalDistribute
--------------------------------PhysicalProject
----------------------------------PhysicalOlapScan[item]
--------------------------PhysicalDistribute
----------------------------PhysicalProject
------------------------------PhysicalOlapScan[store]
------------------PhysicalDistribute
--------------------PhysicalProject
----------------------filter(d_quarter_name IN ('2001Q1', '2001Q2', '2001Q3'))
------------------------PhysicalOlapScan[date_dim]

63 changes: 32 additions & 31 deletions regression-test/data/nereids_tpcds_shape_sf100_p0/shape/query25.out
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Expand Up @@ -7,40 +7,41 @@ PhysicalTopN
--------PhysicalDistribute
----------hashAgg[LOCAL]
------------PhysicalProject
--------------hashJoin[INNER_JOIN](store.s_store_sk = store_sales.ss_store_sk)
--------------hashJoin[INNER_JOIN](catalog_sales.cs_sold_date_sk = d3.d_date_sk)
----------------PhysicalProject
------------------PhysicalOlapScan[store]
----------------PhysicalDistribute
------------------hashJoin[INNER_JOIN](item.i_item_sk = store_sales.ss_item_sk)
------------------hashJoin[INNER_JOIN](store_returns.sr_item_sk = catalog_sales.cs_item_sk)(store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk)
--------------------PhysicalProject
----------------------PhysicalOlapScan[item]
----------------------PhysicalOlapScan[catalog_sales]
--------------------PhysicalDistribute
----------------------PhysicalProject
------------------------hashJoin[INNER_JOIN](catalog_sales.cs_sold_date_sk = d3.d_date_sk)
--------------------------PhysicalProject
----------------------------filter((d3.d_year = 2000)(d3.d_moy <= 10)(d3.d_moy >= 4))
------------------------------PhysicalOlapScan[date_dim]
--------------------------PhysicalDistribute
----------------------------PhysicalProject
------------------------------hashJoin[INNER_JOIN](store_returns.sr_item_sk = catalog_sales.cs_item_sk)(store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk)
--------------------------------PhysicalProject
----------------------------------PhysicalOlapScan[catalog_sales]
--------------------------------PhysicalDistribute
----------------------hashJoin[INNER_JOIN](store.s_store_sk = store_sales.ss_store_sk)
------------------------PhysicalProject
--------------------------hashJoin[INNER_JOIN](item.i_item_sk = store_sales.ss_item_sk)
----------------------------PhysicalDistribute
------------------------------PhysicalProject
--------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
----------------------------------PhysicalProject
------------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
--------------------------------------PhysicalDistribute
----------------------------------------PhysicalProject
------------------------------------------hashJoin[INNER_JOIN](store_sales.ss_item_sk = store_returns.sr_item_sk)(store_sales.ss_ticket_number = store_returns.sr_ticket_number)(store_sales.ss_customer_sk = store_returns.sr_customer_sk)
--------------------------------------------PhysicalProject
----------------------------------------------PhysicalOlapScan[store_returns]
--------------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
----------------------------------------------PhysicalProject
------------------------------------------------PhysicalOlapScan[store_sales]
----------------------------------------------PhysicalDistribute
------------------------------------------------PhysicalProject
--------------------------------------------------filter((d1.d_year = 2000)(d1.d_moy = 4))
----------------------------------------------------PhysicalOlapScan[date_dim]
------------------------------------hashJoin[INNER_JOIN](store_sales.ss_item_sk = store_returns.sr_item_sk)(store_sales.ss_ticket_number = store_returns.sr_ticket_number)(store_sales.ss_customer_sk = store_returns.sr_customer_sk)
--------------------------------------PhysicalProject
----------------------------------------filter((d2.d_moy <= 10)(d2.d_moy >= 4)(d2.d_year = 2000))
------------------------------------------PhysicalOlapScan[date_dim]
----------------------------------------PhysicalOlapScan[store_returns]
--------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
----------------------------------------PhysicalProject
------------------------------------------PhysicalOlapScan[store_sales]
----------------------------------------PhysicalDistribute
------------------------------------------PhysicalProject
--------------------------------------------filter((d1.d_year = 2000)(d1.d_moy = 4))
----------------------------------------------PhysicalOlapScan[date_dim]
----------------------------------PhysicalDistribute
------------------------------------PhysicalProject
--------------------------------------filter((d2.d_moy <= 10)(d2.d_moy >= 4)(d2.d_year = 2000))
----------------------------------------PhysicalOlapScan[date_dim]
----------------------------PhysicalDistribute
------------------------------PhysicalProject
--------------------------------PhysicalOlapScan[item]
------------------------PhysicalDistribute
--------------------------PhysicalProject
----------------------------PhysicalOlapScan[store]
----------------PhysicalDistribute
------------------PhysicalProject
--------------------filter((d3.d_year = 2000)(d3.d_moy <= 10)(d3.d_moy >= 4))
----------------------PhysicalOlapScan[date_dim]

12 changes: 6 additions & 6 deletions regression-test/data/nereids_tpcds_shape_sf100_p0/shape/query29.out
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Original file line number Diff line number Diff line change
Expand Up @@ -27,20 +27,20 @@ PhysicalTopN
----------------------------------PhysicalOlapScan[catalog_sales]
--------------------------------PhysicalDistribute
----------------------------------PhysicalProject
------------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
--------------------------------------PhysicalProject
----------------------------------------hashJoin[INNER_JOIN](store_sales.ss_item_sk = store_returns.sr_item_sk)(store_sales.ss_ticket_number = store_returns.sr_ticket_number)(store_sales.ss_customer_sk = store_returns.sr_customer_sk)
------------------------------------------PhysicalProject
--------------------------------------------PhysicalOlapScan[store_returns]
------------------------------------------hashJoin[INNER_JOIN](d1.d_date_sk = store_sales.ss_sold_date_sk)
--------------------------------------------PhysicalOlapScan[store_sales]
------------------------------------------hashJoin[INNER_JOIN](store_returns.sr_returned_date_sk = d2.d_date_sk)
--------------------------------------------PhysicalProject
----------------------------------------------PhysicalOlapScan[store_sales]
----------------------------------------------PhysicalOlapScan[store_returns]
--------------------------------------------PhysicalDistribute
----------------------------------------------PhysicalProject
------------------------------------------------filter((d1.d_year = 1999)(d1.d_moy = 4))
------------------------------------------------filter((d2.d_moy <= 7)(d2.d_moy >= 4)(d2.d_year = 1999))
--------------------------------------------------PhysicalOlapScan[date_dim]
--------------------------------------PhysicalDistribute
----------------------------------------PhysicalProject
------------------------------------------filter((d2.d_moy <= 7)(d2.d_moy >= 4)(d2.d_year = 1999))
------------------------------------------filter((d1.d_year = 1999)(d1.d_moy = 4))
--------------------------------------------PhysicalOlapScan[date_dim]

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