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feat; add NEW SQL scripts
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‎SQL/SQL-Server/Data-Dictionary/DataDictionary.sql

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-----------------------------------------------------------------------------------
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-- Data Dictionary Dump:
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-- This SQL script will dump table, column, key, and description design related
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-- metadata so that you can copy-paste or export to Excel as a Data Dictionary.
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------------------------------------------------------------------------------------
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-- Platform: SQL Server
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-- Author: DataResearchLabs
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-- GitHub: https://github.com/DataResearchLabs/sql_scripts
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-- GitHub Tool: https://github.com/DataResearchLabs/data_analysts_toolbox/blob/main/data_dictionary_generator/readme.md
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----------------------------------------------------------------------------------
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-- IMPORTANT
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USE AdventureWorksLT2019; -- <<<<<<<<<<<< CHANGE THIS VALUE to Schema you want to dump
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;
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-- All variables are consolidated here in the first CTE (Common Table Expression)
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-- Each given row is a variable, with the value you change preceding the "AS" command
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WITH vars
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AS (
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SELECT
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DB_NAME() AS v_SchemaName -- (Do not change this value, it is picked up from changes above)
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, 'NO' AS v_TablesOnly -- Change this setting: YES=Limit To Tables only; NO=Include views too
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)
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, baseTbl
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AS (
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SELECT TABLE_CATALOG AS SchemaName, table_type, table_name, table_schema
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FROM INFORMATION_SCHEMA.TABLES
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WHERE TABLE_CATALOG = (SELECT v_SchemaName FROM vars)
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AND ( (TABLE_TYPE = 'BASE TABLE')
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OR ((SELECT v_TablesOnly FROM vars) = 'NO')
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)
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)
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, metadata
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AS (
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SELECT
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bt.SchemaName AS schema_nm
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, bt.table_name AS table_nm
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, CASE WHEN bt.table_type = 'BASE TABLE' THEN 'TBL'
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WHEN bt.table_type = 'VIEW' THEN 'VW'
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ELSE 'UK'
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END AS obj_typ
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, RIGHT('000' + CAST(tut.ORDINAL_POSITION AS VARCHAR(3)), 3) AS ord_pos
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, tut.column_name AS column_nm
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, COALESCE(tut.data_type, 'unknown') +
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CASE WHEN tut.data_type IN('varchar','nvarchar') THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.data_type IN('char','nchar') THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.data_type ='date' THEN '(' + CAST(tut.DATETIME_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.data_type ='datetime' THEN '(' + CAST(tut.DATETIME_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.data_type in('bigint','int','smallint', 'tinyint') THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.data_type = 'uniqueidentifier' THEN '(16)'
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WHEN tut.data_type = 'money' THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.data_type = 'decimal' THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ',' + CAST(tut.NUMERIC_SCALE AS VARCHAR(10)) + ')'
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WHEN tut.data_type = 'numeric' THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ',' + CAST(tut.NUMERIC_SCALE AS VARCHAR(10)) + ')'
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WHEN tut.data_type = 'varbinary' THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.data_type = 'xml' THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.data_type IN('char','nchar') THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.CHARACTER_MAXIMUM_LENGTH IS NOT NULL THEN '(' + CAST(tut.CHARACTER_MAXIMUM_LENGTH AS VARCHAR(10)) + ')'
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WHEN tut.DATETIME_PRECISION IS NOT NULL THEN '(' + CAST(tut.DATETIME_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.NUMERIC_PRECISION IS NOT NULL
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AND tut.NUMERIC_SCALE IS NULL THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ')'
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WHEN tut.NUMERIC_PRECISION IS NOT NULL
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AND tut.NUMERIC_SCALE IS NOT NULL THEN '(' + CAST(tut.NUMERIC_PRECISION AS VARCHAR(10)) + ',' + CAST(tut.NUMERIC_SCALE AS VARCHAR(10)) + ')'
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ELSE ''
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END AS data_typ
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, CASE WHEN tut.IS_NULLABLE = 'YES' THEN 'NULL' ELSE 'NOT NULL' END AS nullable
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FROM INFORMATION_SCHEMA.COLUMNS tut
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INNER JOIN baseTbl bt ON bt.SchemaName = tut.TABLE_CATALOG AND bt.table_name = tut.table_name
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)
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, descr
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AS (
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SELECT
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bt.SchemaName AS schema_nm
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, bt.table_name AS table_nm
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, tut.column_name AS column_nm
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, STRING_AGG(CAST(de.value AS VARCHAR(1024)), '. ') WITHIN GROUP (ORDER BY de.value) AS description
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FROM INFORMATION_SCHEMA.COLUMNS tut
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INNER JOIN baseTbl bt ON bt.SchemaName = tut.TABLE_CATALOG AND bt.table_name = tut.table_name
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LEFT JOIN sys.extended_properties de ON de.major_id = OBJECT_ID(bt.table_schema + '.' + bt.table_name)
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AND de.minor_id = tut.ORDINAL_POSITION
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AND de.name = 'MS_Description'
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GROUP BY bt.SchemaName, bt.table_name, tut.column_name
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)
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, metadata_keys
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AS (
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SELECT schema_nm, table_nm, column_nm
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, STRING_AGG(key_typ, ',') WITHIN GROUP (ORDER BY key_typ) AS is_key
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FROM (
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SELECT
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cons.TABLE_CATALOG AS schema_nm
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, cons.TABLE_NAME AS table_nm
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, kcu.COLUMN_NAME AS column_nm
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, CASE WHEN cons.CONSTRAINT_TYPE = 'PRIMARY KEY' THEN 'PK'
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WHEN cons.CONSTRAINT_TYPE = 'UNIQUE' THEN 'UK'
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WHEN cons.CONSTRAINT_TYPE = 'FOREIGN KEY' THEN 'FK'
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ELSE 'X'
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END AS key_typ
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FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS cons
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INNER JOIN INFORMATION_SCHEMA.KEY_COLUMN_USAGE kcu
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ON cons.TABLE_CATALOG = kcu.TABLE_CATALOG
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AND cons.TABLE_NAME = kcu.TABLE_NAME
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AND cons.CONSTRAINT_NAME = kcu.CONSTRAINT_NAME
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WHERE cons.TABLE_CATALOG = (SELECT v_SchemaName FROM vars)
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AND cons.table_name IN(SELECT DISTINCT table_name FROM baseTbl)
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AND cons.constraint_type IN('PRIMARY KEY','FOREIGN KEY','UNIQUE')
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GROUP BY cons.TABLE_CATALOG, cons.TABLE_NAME, kcu.COLUMN_NAME, cons.CONSTRAINT_TYPE
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) AS t
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GROUP BY schema_nm, table_nm, column_nm
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)
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SELECT md.schema_nm, md.table_nm, md.obj_typ, md.ord_pos
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, COALESCE(mk.is_key, ' ') AS keys
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, md.column_nm, md.data_typ, md.nullable
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, de.[description]
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FROM metadata md
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LEFT JOIN descr de ON de.schema_nm = md.schema_nm AND de.table_nm = md.table_nm AND de.column_nm = md.column_nm
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LEFT JOIN metadata_keys mk ON mk.schema_nm = md.schema_nm AND mk.table_nm = md.table_nm AND mk.column_nm = md.column_nm
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ORDER BY schema_nm, table_nm, ord_pos

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