From 455f1f9f8775c19184b241bed39225891e960984 Mon Sep 17 00:00:00 2001
From: "zhongjian.xzj" <zhongjian.xzj@zhongjianxzjdeMacBook-Pro.local>
Date: Wed, 23 Oct 2024 14:16:35 +0800
Subject: [PATCH] [opt](nereids) refine stats deriving

---
 .../nereids_tpcds_shape_sf1000_p0/shape/query48.out    | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/regression-test/data/nereids_tpcds_shape_sf1000_p0/shape/query48.out b/regression-test/data/nereids_tpcds_shape_sf1000_p0/shape/query48.out
index c20cd07f178f50..8efddd9c9f1a18 100644
--- a/regression-test/data/nereids_tpcds_shape_sf1000_p0/shape/query48.out
+++ b/regression-test/data/nereids_tpcds_shape_sf1000_p0/shape/query48.out
@@ -7,23 +7,23 @@ PhysicalResultSink
 --------PhysicalProject
 ----------hashJoin[INNER_JOIN broadcast] hashCondition=((store.s_store_sk = store_sales.ss_store_sk)) otherCondition=() build RFs:RF3 s_store_sk->[ss_store_sk]
 ------------PhysicalProject
---------------hashJoin[INNER_JOIN bucketShuffle] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('ND', 'NY', 'SD') AND ((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00))) OR (ca_state IN ('GA', 'KS', 'MD') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00)))) OR (ca_state IN ('CO', 'MN', 'NC') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))))) build RFs:RF2 ss_addr_sk->[ca_address_sk]
-----------------PhysicalProject
-------------------filter((customer_address.ca_country = 'United States') and ca_state IN ('CO', 'GA', 'KS', 'MD', 'MN', 'NC', 'ND', 'NY', 'SD'))
---------------------PhysicalOlapScan[customer_address] apply RFs: RF2
+--------------hashJoin[INNER_JOIN shuffle] hashCondition=((store_sales.ss_addr_sk = customer_address.ca_address_sk)) otherCondition=((((ca_state IN ('ND', 'NY', 'SD') AND ((store_sales.ss_net_profit >= 0.00) AND (store_sales.ss_net_profit <= 2000.00))) OR (ca_state IN ('GA', 'KS', 'MD') AND ((store_sales.ss_net_profit >= 150.00) AND (store_sales.ss_net_profit <= 3000.00)))) OR (ca_state IN ('CO', 'MN', 'NC') AND ((store_sales.ss_net_profit >= 50.00) AND (store_sales.ss_net_profit <= 25000.00))))) build RFs:RF2 ca_address_sk->[ss_addr_sk]
 ----------------PhysicalProject
 ------------------hashJoin[INNER_JOIN broadcast] hashCondition=((store_sales.ss_sold_date_sk = date_dim.d_date_sk)) otherCondition=() build RFs:RF1 d_date_sk->[ss_sold_date_sk]
 --------------------PhysicalProject
 ----------------------hashJoin[INNER_JOIN broadcast] hashCondition=((customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk)) otherCondition=((((((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'Secondary')) AND ((store_sales.ss_sales_price >= 100.00) AND (store_sales.ss_sales_price <= 150.00))) OR (((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '2 yr Degree')) AND ((store_sales.ss_sales_price >= 50.00) AND (store_sales.ss_sales_price <= 100.00)))) OR (((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Advanced Degree')) AND ((store_sales.ss_sales_price >= 150.00) AND (store_sales.ss_sales_price <= 200.00))))) build RFs:RF0 cd_demo_sk->[ss_cdemo_sk]
 ------------------------PhysicalProject
 --------------------------filter((store_sales.ss_net_profit <= 25000.00) and (store_sales.ss_net_profit >= 0.00) and (store_sales.ss_sales_price <= 200.00) and (store_sales.ss_sales_price >= 50.00))
-----------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF3
+----------------------------PhysicalOlapScan[store_sales] apply RFs: RF0 RF1 RF2 RF3
 ------------------------PhysicalProject
 --------------------------filter(((((customer_demographics.cd_marital_status = 'S') AND (customer_demographics.cd_education_status = 'Secondary')) OR ((customer_demographics.cd_marital_status = 'M') AND (customer_demographics.cd_education_status = '2 yr Degree'))) OR ((customer_demographics.cd_marital_status = 'D') AND (customer_demographics.cd_education_status = 'Advanced Degree'))))
 ----------------------------PhysicalOlapScan[customer_demographics]
 --------------------PhysicalProject
 ----------------------filter((date_dim.d_year = 2001))
 ------------------------PhysicalOlapScan[date_dim]
+----------------PhysicalProject
+------------------filter((customer_address.ca_country = 'United States') and ca_state IN ('CO', 'GA', 'KS', 'MD', 'MN', 'NC', 'ND', 'NY', 'SD'))
+--------------------PhysicalOlapScan[customer_address]
 ------------PhysicalProject
 --------------PhysicalOlapScan[store]