How to find column names for all tables in all databases in SQL Server
To query column names in all tables and databases, one can utilize the INFORMATION_SCHEMA.COLUMNS
system view:
This lists columns along with corresponding database and table names. To retrieve server-wide results, execute the script individually for each database or use the sp_MSforeachdb
stored procedure or dynamic SQL.
Detailed exploration
Multidatabase querying using sp_MSforeachdb
Besides running the script on each database individually, there is a more straightforward method - an undocumented stored procedure named sp_MSforeachdb
, which efficiently executes SQL statements on each database.
Note: Use it with caution as it’s not officially documented by Microsoft, and there is no guarantee that it will exist in future versions of SQL Server.
Standard schema views for column details
Make use of SQL Server's schema views to get additional information, such as data type
, nullability
, and size
of columns.
Handling schema variations
When dealing with multiple databases, you need to take into account different schema configurations as not all tables contain the same columns. Therefore, the below dynamic SQL
can be used, which adapts the query according to the context switching.
Tip: Humour prescribed by Doctor Stack Overflow - a Null doctor spends most of his time at null conferences, discussing nothing.
Extending scope to handle different SQL environments
Using sp_MSforeachdb for retrieving columns across all databases
Without specifying each database, the sp_MSforeachdb
procedure enables querying across all bases. This query offers database-wide column name retrieval whilst not overlooking critical details like nullability
and data type
.
Joke brought to you by Reddit: SQL statements are like good wines: they should be well-structured, delicious and full of characters.
Dynamic SQL for database-switching within queries
In cases sp_MSforeachdb
is not available, dynamic SQL is an excellent alternative. It caters to the ability to switch databases within queries, hence ensuring flexible and accurate data retrieval.
Cooking tip: Like chefs finely chop ingredients, SQL developers prune irrelevant database entries to make their SQL dish more delicious.
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