cherry-pick fix bvt test

[YANGGMM]

User description

What type of PR is this?

• API-change
• BUG
• Improvement
• Documentation
• Feature
• Test and CI
• Code Refactoring

Which issue(s) this PR fixes:

issue #16300

What this PR does / why we need it:

cherry-pick fix bvt test

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PR Type

Tests

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Description

• Added validation queries for TPCH tables count results to ensure data consistency.
• Removed lower_case_table_names variable checks and settings from DDL test cases.
• Adjusted column names in CREATE TABLE and SELECT statements to lowercase in DDL test cases.

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Changes walkthrough 📝

Relevant files

Tests

00_COUNT.result Add validation queries for TPCH tables count results          test/distributed/cases/benchmark/tpch/04_CLEANUP/00_COUNT.result Added multiple SELECT COUNT(*) queries for various tables in the tpch schema. Included repeated queries to validate consistency. +210/-0  00_COUNT.sql Add validation queries for TPCH tables count                          test/distributed/cases/benchmark/tpch/04_CLEANUP/00_COUNT.sql Added multiple SELECT COUNT(*) queries for various tables in the tpch schema. Included repeated queries to validate consistency. +84/-0    create_table_as_select.result Remove lower_case_table_names settings and adjust column names test/distributed/cases/ddl/create_table_as_select.result Removed lower_case_table_names variable checks and settings. Adjusted column names in CREATE TABLE and SELECT statements to lowercase. +2/-7      create_table_as_select.sql Remove lower_case_table_names settings                                      test/distributed/cases/ddl/create_table_as_select.sql Removed lower_case_table_names variable checks and settings. +0/-3

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PR Review 🔍

⏱️ Estimated effort to review [1-5]	2, because the changes are straightforward and primarily involve adding repeated validation queries for database consistency checks. The PR is focused on testing and does not involve complex logic changes or new feature implementations.
🧪 Relevant tests	Yes
⚡ Possible issues	Redundancy: The PR includes multiple identical queries for the same tables, which might be intentional for consistency checks but could be optimized if the intention is to verify the count only once.
🔒 Security concerns	No

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PR Code Suggestions ✨

Category	Suggestion	Score
Best practice	Ensure consistency in column naming conventions Ensure consistency in column naming conventions. The column NewCol should be renamed to newcol to match the other columns' naming style. test/distributed/cases/ddl/create_table_as_select.result [1597] -alias02 CREATE TABLE `alias02` (\n `newcol` INT DEFAULT NULL,\n `col1` INT DEFAULT NULL,\n `col2` DECIMAL(38,0) DEFAULT NULL\n) +alias02 CREATE TABLE `alias02` (\n `NewCol` INT DEFAULT NULL,\n `col1` INT DEFAULT NULL,\n `col2` DECIMAL(38,0) DEFAULT NULL\n) Suggestion importance[1-10]: 8 Why: The suggestion correctly identifies an inconsistency in column naming conventions between the SQL creation script and the result output, which is important for maintaining code standards and readability. The suggestion aligns with best practices.	8
Maintainability	Consolidate repeated SQL queries to improve readability and maintainability The repeated SELECT COUNT(*) queries for each table can be consolidated to improve readability and maintainability. Instead of repeating the same query multiple times, consider running each query once and storing the results. test/distributed/cases/benchmark/tpch/04_CLEANUP/00_COUNT.result [1-210] select count(*) from tpch.customer; count(*) 150 -select count(*) from tpch.customer; +select count(*) from tpch.lineitem; count(*) -150 +6005 ... Suggestion importance[1-10]: 7 Why: The suggestion correctly identifies the redundancy in repeated SQL queries across multiple lines, which could be optimized for better maintainability. However, the 'improved_code' section does not accurately reflect a consolidated version, it just lists a subset of the existing queries.	7