Oracle dbschema download6/11/2023 ![]() LEFT JOIN INFORMATION_SCHEMA.TABLE_CONSTRAINTS n LEFT JOIN INFORMATION_SCHEMA.KEY_COLUMN_USAGE k ON k.position_in_unique_constraint=k2.ordinal_positionĪND r.unique_constraint_catalog=k2.constraint_catalogĪND r.unique_constraint_schema=k2.constraint_schemaĪND r.unique_constraint_name=k2.constraint_nameĪND t.table_schema NOT IN('information_schema','pg_catalog') MySQL SELECT t.TABLE_SCHEMA,t.TABLE_NAME,c.COLUMN_NAME,c.ORDINAL_POSITION,c.DATA_TYPE,c.CHARACTER_MAXIMUM_LENGTH,n.CONSTRAINT_TYPE,k.REFERENCED_TABLE_SCHEMA,k.REFERENCED_TABLE_NAME,k.REFERENCED_COLUMN_NAME LEFT JOIN information_schema.key_column_usage k2 LEFT JOIN information_schema.referential_constraints r)ON c.table_catalog=k.table_catalog ![]() JOIN information_schema.table_constraints n NATURAL LEFT JOIN information_lumns c LEFT JOIN(information_schema.key_column_usage k NATURAL WHERE t.TABLE_TYPE='BASE TABLE' Postgres SET enable_nestloop=0 SELECT t.table_catalog,t.table_schema,t.table_name,c.column_name,c.ordinal_position,c.data_type,c.character_maximum_length,n.constraint_type,k2.table_schema,k2.table_name,k2.column_name ON k.ORDINAL_POSITION=k2.ORDINAL_POSITIONĪND r.UNIQUE_CONSTRAINT_CATALOG=k2.CONSTRAINT_CATALOGĪND r.UNIQUE_CONSTRAINT_SCHEMA=k2.CONSTRAINT_SCHEMAĪND r.UNIQUE_CONSTRAINT_NAME=k2.CONSTRAINT_NAME LEFT JOIN INFORMATION_SCHEMA.KEY_COLUMN_USAGE k2 ON k.CONSTRAINT_CATALOG=r.CONSTRAINT_CATALOGĪND k.CONSTRAINT_SCHEMA=r.CONSTRAINT_SCHEMAĪND k.CONSTRAINT_NAME=r.CONSTRAINT_NAME)ON c.TABLE_CATALOG=k.TABLE_CATALOG LEFT JOIN INFORMATION_SCHEMA.REFERENTIAL_CONSTRAINTS r ON k.CONSTRAINT_CATALOG=n.CONSTRAINT_CATALOGĪND k.CONSTRAINT_SCHEMA=n.CONSTRAINT_SCHEMA JOIN INFORMATION_SCHEMA.TABLE_CONSTRAINTS n SQL Server SELECT t.TABLE_CATALOG,t.TABLE_SCHEMA,t.TABLE_NAME,c.COLUMN_NAME,c.ORDINAL_POSITION,c.DATA_TYPE,c.CHARACTER_MAXIMUM_LENGTH,n.CONSTRAINT_TYPE,k2.TABLE_SCHEMA,k2.TABLE_NAME,k2.COLUMN_NAMEĪND t.TABLE_NAME=c.TABLE_NAME LEFT JOIN(INFORMATION_SCHEMA.KEY_COLUMN_USAGE k ![]() This requires us to be able to look at an existing database and extract from within the metadata on the structure of the database, from which we then model it using a tool like Lucidchart.Įxporting data from a relational database like SQL Server or Postgres is a relatively straightforward process, as any database management tool worthy of its own title has some sort of “ save results to CSV” type of option.īut what if the data you want to export is not the data in the database, but rather the table structure of that database?īelow, I’ve put together and shared some very basic queries you can run on each of the major RDBMS systems out there to output the schema of a database, including column names, data types, and foreign key constraints in a tabular format that can be easily saved to a CSV. As a digital agency focused on app development, we often find ourselves inheriting projects that other developers started from which we need to first analyze and understand the schema of the existing database. ![]()
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