How to Get Dates from All Tables in SQL Server

We'll get to know the techniques:

1. List all existing columns of the tables (INFORMATION_SCHEMA. COLUMNS)

• To list all columns from all tables in the database:

  SELECT TABLE_NAME, COLUMN_NAME
  FROM INFORMATION_SCHEMA. COLUMNS
  

2. Filter columns by data type (WHERE, DATA_TYPE, IN)

• To list columns of a specific data type:

  SELECT TABLE_NAME, COLUMN_NAME
  FROM INFORMATION_SCHEMA. COLUMNS
  WHERE DATA_TYPE IN ('int', 'varchar')
  

3. Get

• To find the minimum and maximum values of a column:

  SELECT MIN(Column), MAX(Column)
  FROM Table
  

4. Convert SQL result to XML format (FOR XML, RAW, AUTO)

• To convert results of a query to XML:

  SELECT Column1, Column2
  FROM Table
  FOR XML RAW, ELEMENTS
  

5. Declare Text Type Variable (DECLARE,

• To declare a text type variable:

  DECLARE @MinhaVariavel VARCHAR(50)
  

6. Concatenate Table Values to Variable (@VARIAVEL)

• To Concatenate Values from a Column to a Variable:

  SELECT @MinhaVariavel = @MinhaVariavel + Column
  FROM Table
  

7. Create

• To create a Dynamic SQL query:

  DECLARE @ConsultaDinamica NVARCHAR(MAX)
  SET @ConsultaDinamica = 'SELECT Column FROM Table'
  

8. Ensure that the text-type variable is in the valid format for the

• To ensure that a variable is a valid object name:

  SET @MinhaVariavel = QUOTENAME(@MinhaVariavel)
  

9. Get all

• variable:To get all characters except the last one from a text variable:

  SET @MinhaVariavel = RIGHT(@MinhaVariavel, LEN(@MinhaVariavel) - 1)
  

10. Manipulate XML structure data (NODES, VALUE)

• To manipulate data in an XML:

  SELECT structure
    XmlColumn.value('(Path/To/Node)[1]', 'varchar(50)') AS Value
  FROM Table
  

11. Automatically create table with query result (INTO, FROM)

• To create a table based on the result of a query:

  SELECT Column1, Column2
  INTO NewTable
  FROM ExistingTable
  

12. Run Dynamic SQL Query (

• To run a Dynamic SQL query:

  EXEC sp_executesql @ConsultaDinamica
  

Remember to tailor the examples to the specific structure of your database and the needs of your query.