Abstract: Techniques are described herein for allowing a container DBMS to impose restrictions, on a per-pluggable-database basis, on operations based on the pluggable database to which the users that request the operations belong. In one embodiment, lockdown profiles can be created and mapped to pluggable databases. Lockdown profiles specify PDB-wide restrictions on operations. The restrictions may apply to all operations of a given type, may apply to specific features, may require use of specific parameter values, etc. All users that belong to a pluggable database are restricted by the restrictions specified in the lockdown profile to which their pluggable database is mapped, unless the lockdown profile has a user-specific exemption for them. Bitmaps and/or hash tables may be used to more quickly determine, at query runtime, whether a query violates any profile-specified restrictions. Execution of queries that violate any profile-specified restrictions is prevented.

Abstract: Techniques are provided for diverting, to cloned metadata, live access to original metadata of an application container that is being concurrently upgraded. In an embodiment, a database server stores, within an application container of an application, original metadata that defines objects for use by pluggable databases of the application. The database server receives a maintenance request to adjust the original metadata. The database server creates, in response to receiving the maintenance request, a reference container that contains cloned metadata that is a copy of the original metadata. The database server receives, during or after creating the reference container, a read request to read one of the objects. The database server concurrently performs both of: executing the maintenance request upon the original metadata, and executing the read request upon the cloned metadata of the reference container.

Abstract: Techniques herein use rules automation and template pluggable databases to facilitate deployment into container databases. In an embodiment, a system of computers loads rules into a rules engine. Each rule associates a predicate with suitable container databases. The system receives a request to install a target pluggable database. The rules engine detects satisfied rules whose predicates match the request. Based on the suitable container databases of the satisfied rules, the rules engine selects a particular container database. The system installs the target pluggable database into the particular container database. In an embodiment, a system of computers stores a plurality of template pluggable databases in a repository. The repository receives an installation request. Based on the installation request, the system selects a particular template pluggable database. The system installs the particular template pluggable database into a container database.

Abstract: In an approach, memory usage within a database management system is optimized by designating an application root which stores data and metadata for database objects that are common across pluggable databases which support the same application. In addition, the application root can be used to manage access to the pluggable databases by defining common users which are created at the application root, but can be used to access any of the member pluggable databases. Furthermore, different versions of the same application can be supported concurrently by maintaining separate application roots for each version. For instance, when an upgrade is applied to the application root, a clone can be created and the update can be applied to the clone. Then, the member pluggable databases which are to be upgraded can be synchronized to the clone, while leaving other pluggable databases servicing the previous version of the application.

Abstract: Techniques herein use rules automation and template pluggable databases to facilitate deployment into container databases. In an embodiment, a system of computers loads rules into a rules engine. Each rule associates a predicate with suitable container databases. The system receives a request to install a target pluggable database. The rules engine detects satisfied rules whose predicates match the request. Based on the suitable container databases of the satisfied rules, the rules engine selects a particular container database. The system installs the target pluggable database into the particular container database. In an embodiment, a system of computers stores a plurality of template pluggable databases in a repository. The repository receives an installation request. Based on the installation request, the system selects a particular template pluggable database. The system installs the particular template pluggable database into a container database.

Abstract: Techniques are provided for diverting, to cloned metadata, live access to original metadata of an application container that is being concurrently upgraded. In an embodiment, a database server stores, within an application container of an application, original metadata that defines objects for use by pluggable databases of the application. The database server receives a maintenance request to adjust the original metadata. The database server creates, in response to receiving the maintenance request, a reference container that contains cloned metadata that is a copy of the original metadata. The database server receives, during or after creating the reference container, a read request to read one of the objects. The database server concurrently performs both of: executing the maintenance request upon the original metadata, and executing the read request upon the cloned metadata of the reference container.

Abstract: Techniques for common users and roles, and commonly-granted privileges and roles are described. In one approach, the DBMS of a container database allows for the creation of common roles and common users that are shared across the container database. Thus, when a common role or a common user is established, the common role or common user is propagated to each database of the container database. In another approach, the DBMS of a container database allows privileges and roles to be granted commonly or locally. When a privilege or role is granted commonly, the privilege applies in each of the databases of a container database. When a privilege or role is granted locally, the privilege applies only in the database to which the grantor of the privilege or role established a connection.

Abstract: Techniques are provided for diverting, to cloned metadata, live access to original metadata of an application container that is being concurrently upgraded. In an embodiment, a database server stores, within an application container of an application, original metadata that defines objects for use by pluggable databases of the application. The database server receives a maintenance request to adjust the original metadata. The database server creates, in response to receiving the maintenance request, a reference container that contains cloned metadata that is a copy of the original metadata. The database server receives, during or after creating the reference container, a read request to read one of the objects. The database server concurrently performs both of: executing the maintenance request upon the original metadata, and executing the read request upon the cloned metadata of the reference container.

Abstract: Techniques herein use rules automation and template pluggable databases to facilitate deployment into container databases. In an embodiment, a system of computers loads rules into a rules engine. Each rule associates a predicate with suitable container databases. The system receives a request to install a target pluggable database. The rules engine detects satisfied rules whose predicates match the request. Based on the suitable container databases of the satisfied rules, the rules engine selects a particular container database. The system installs the target pluggable database into the particular container database. In an embodiment, a system of computers stores a plurality of template pluggable databases in a repository. The repository receives an installation request. Based on the installation request, the system selects a particular template pluggable database. The system installs the particular template pluggable database into a container database.

Abstract: In an approach, memory usage within a database management system is optimized by designating an application root which stores data and metadata for database objects that are common across pluggable databases which support the same application. In addition, the application root can be used to manage access to the pluggable databases by defining common users which are created at the application root, but can be used to access any of the member pluggable databases. Furthermore, different versions of the same application can be supported concurrently by maintaining separate application roots for each version. For instance, when an upgrade is applied to the application root, a clone can be created and the update can be applied to the clone. Then, the member pluggable databases which are to be upgraded can be synchronized to the clone, while leaving other pluggable databases servicing the previous version of the application.

Abstract: Techniques are described herein for allowing a container DBMS to impose restrictions, on a per-pluggable-database basis, on operations based on the pluggable database to which the users that request the operations belong. In one embodiment, lockdown profiles can be created and mapped to pluggable databases. Lockdown profiles specify PDB-wide restrictions on operations. The restrictions may apply to all operations of a given type, may apply to specific features, may require use of specific parameter values, etc. All users that belong to a pluggable database are restricted by the restrictions specified in the lockdown profile to which their pluggable database is mapped, unless the lockdown profile has a user-specific exemption for them. Bitmaps and/or hash tables may be used to more quickly determine, at query runtime, whether a query violates any profile-specified restrictions. Execution of queries that violate any profile-specified restrictions is prevented.

Abstract: A container database may contain multiple database dictionaries, each database dictionary defining a pluggable database. When database sessions are established on a container DBMS, each database session is given access to a pluggable database by establishing the respective database dictionary of the pluggable database as the database dictionary for that database session. Database commands issued through database session can only access the database objects defined in the database dictionary established for the database session.

Abstract: Techniques for common users and roles, and commonly-granted privileges and roles are described. In one approach, the DBMS of a container database allows for the creation of common roles and common users that are shared across the container database. Thus, when a common role or a common user is established, the common role or common user is propagated to each database of the container database. In another approach, the DBMS of a container database allows privileges and roles to be granted commonly or locally. When a privilege or role is granted commonly, the privilege applies in each of the databases of a container database. When a privilege or role is granted locally, the privilege applies only in the database to which the grantor of the privilege or role established a connection.

Abstract: Techniques for common users and roles, and commonly-granted privileges and roles are described. In one approach, the DBMS of a container database allows for the creation of common roles and common users that are shared across the container database. Thus, when a common role or a common user is established, the common role or common user is propagated to each database of the container database. In another approach, the DBMS of a container database allows privileges and roles to be granted commonly or locally. When a privilege or role is granted commonly, the privilege applies in each of the databases of a container database. When a privilege or role is granted locally, the privilege applies only in the database to which the grantor of the privilege or role established a connection.

Abstract: A container database may contain multiple database dictionaries, each database dictionary defining a pluggable database. When database sessions are established on a container DBMS, each database session is given access to a pluggable database by establishing the respective database dictionary of the pluggable database as the database dictionary for that database session. Database commands issued through database session can only access the database objects defined in the database dictionary established for the database session.

Abstract: Techniques for common users and roles, and commonly-granted privileges and roles are described. In one approach, the DBMS of a container database allows for the creation of common roles and common users that are shared across the container database. Thus, when a common role or a common user is established, the common role or common user is propagated to each database of the container database. In another approach, the DBMS of a container database allows privileges and roles to be granted commonly or locally. When a privilege or role is granted commonly, the privilege applies in each of the databases of a container database. When a privilege or role is granted locally, the privilege applies only in the database to which the grantor of the privilege or role established a connection.

Abstract: Computer implemented methods and apparatus for determining availability information for a first one of a plurality of products for publication via a wide area network. The availability information is calculated with reference to a delivery date, an available number of units, and a reserved number of units, the delivery date having been specified by a user via the network, the available number of units having been determined with reference to inventory information, and the reserved number of units having been determined with reference to current order information.

Abstract: Computer implemented methods and apparatus for determining availability information for a first one of a plurality of products for publication via a wide area network. The availability information is calculated with reference to a delivery date, an available number of units, and a reserved number of units, the delivery date having been specified by a user via the network, the available number of units having been determined with reference to inventory information, and the reserved number of units having been determined with reference to current order information.

Abstract: Techniques are disclosed for expanding the concept of partitioning in variety of ways. In particular techniques are provided for performing multiple-dimension partitioning. In multiple-dimension partitioning, a database object is divided into partitions based on one criteria, and each of those resulting partitions is divided into sub-partitions based on a second criteria. The process of partitioning partitions based on different criteria may be repeated across any number of dimensions. Entirely different partitioning techniques may be used for each level of partitioning. The database server takes advantage of partitions when processing queries by selectively accessing a subset of partitions on disk or reducing the number of internal join operations.

Abstract: Techniques are disclosed for expanding the concept of partitioning in variety of ways. In particular techniques are provided for performing multiple-dimension partitioning. In multiple-dimension partitioning, a database object is divided into partitions based on one criteria, and each of those resulting partitions is divided into sub-partitions based on a second criteria. The process of partitioning partitions based on different criteria may be repeated across any number of dimensions. Entirely different partitioning techniques may be used for each level of partitioning. The database server takes advantage of partitions when processing queries by selectively accessing a subset of partitions on disk or reducing the number of internal join operations.