Omnidex SQL: EXTRACT DDL

The OdxSQL EXTRACT command will Extract DDL statements (CREATE ENVIRONMENT, CREATE DATABASE, CREATE TABLE, CREATE INDEX and CREATE INDEX GROUP) from the currently connected Omnidex Environment to a file. The extracted file can then be modified with an editor and used to build another Omnidex Environment.

The EXTRACT command is particularly helpful in converting Omnidex Environments from previous versions that used the original Omnidex Environment Catalog syntax.

The EXTRACT command can also be used to generate INSERT, DELETE, and UPDATE statements from the existing data. This would typically be used in a testing environment.

EXTRACT DDL [FOR <ENVIRONMENT [environment] | DATABASE database>]
  [TO filespec] [ON [INSTANCE] instance] [WITH options]

EXTRACT [CLUSTERED] <INSERTS | UPDATES | DELETE_WHERES | DELETE_EXCEPTS>
  FROM tables [WHERE criteria] [TO filename]
  [ON [INSTANCE] instance] [WITH options]

Decompiles a connected Omnidex Environment and generates the DDL CREATE ENVIRONMENT, CREATE DATABASE, CREATE TABLE, CREATE INDEX, and CREATE INDEX GROUP statements.

The FOR DATABASE clause can be used to extract the DDL for a specific database should the Omnidex Environment contain multiple databases.

The CLUSTERED option requires tables to be one parent table and any number of linked children.

The TO filespec clause specifies the directory location and filename of the extracted statements.

If the TO filespec clause is omitted, then the file will be written to extract.sql in the current working directory.

Deletes the file specified in the TO filespec clause or the default extract.sql file if no filespec is specified in order to create a new file with the current SQL statement information.

extract ddl to myenv.sql with delete;

Extract DDL CREATE statements from a connected Environment.

connect myenv.xml;
extract ddl to myenvnew.sql;

Extract DDL to default extract.sql file.

extract ddl;

Extract INSERT statements from a named table.

extract inserts from table1 to table1_inserts.sql;