Abstract: Implementations include setting a session variable of each of a plurality of tenants to a first timestamp, importing, after the first timestamp, a first set of content to a shared container within a database system, during importing, each tenant in the plurality of tenants accessing pre-import data stored in the shared container based on the session variable being set to the first timestamp, and after importing the first set of content to the shared container, un-setting, at a second timestamp, the session variable of each of the plurality of tenants from the first timestamp, after the second timestamp, each tenant in the plurality of tenants accessing post-import data stored in the shared container.

Abstract: Implementations include setting a session variable of each of a plurality of tenants to a first timestamp, importing, after the first timestamp, a first set of content to a shared container within a database system, during importing, each tenant in the plurality of tenants accessing pre-import data stored in the shared container based on the session variable being set to the first timestamp, and after importing the first set of content to the shared container, un-setting, at a second timestamp, the session variable of each of the plurality of tenants from the first timestamp, after the second timestamp, each tenant in the plurality of tenants accessing post-import data stored in the shared container.

Abstract: The present disclosure involves systems, software, and computer implemented methods for key pattern management. One example method includes receiving a query for a logical database table from an application. A determination is made as to whether the query is a write query. In response to determining that the query is a write query, a determination is made as to whether the query complies with a key pattern configuration that describes keys of records included in a physical database table that is part of a logical table implementation. The physical table includes records of the logical database table that are allowed to be written by the application. The write query is redirected to the physical database table in response to determining that the query complies with the key pattern definition. The query is rejected in response to determining that the query does not comply with the key pattern configuration.

Abstract: Methods, systems, and computer-readable storage media for, in response to initiation of a deployment to a multi-tenant system, cloning a shared table in a shared container of a database system to provide a cloned table, the shared table corresponding to a plurality of table views in respective tenant containers, providing, within each tenant container of the tenant containers, an updated view to the cloned table, for a data object of the deployment, determining a previous location of the data object within the database system from an object catalog, and a new location of the data object within the database system from a deploy file, and storing the data object in one of the shared container, and a tenant container of a respective tenant based on one or both of the previous location, and the new location of the data object.

Abstract: The present disclosure involves systems, software, and computer implemented methods for key pattern management. One example method includes receiving a query for a logical database table from an application. A determination is made as to whether the query is a write query. In response to determining that the query is a write query, a determination is made as to whether the query complies with a key pattern configuration that describes keys of records included in a physical database table that is part of a logical table implementation. The physical table includes records of the logical database table that are allowed to be written by the application. The write query is redirected to the physical database table in response to determining that the query complies with the key pattern definition. The query is rejected in response to determining that the query does not comply with the key pattern configuration.

Abstract: The present disclosure involves systems, software, and computer implemented methods for key pattern management. One example method includes receiving a query for a logical database table from an application. A determination is made as to whether the query is a write query. In response to determining that the query is a write query, a determination is made as to whether the query complies with a key pattern configuration that describes keys of records included in a physical database table that is part of a logical table implementation. The physical table includes records of the logical database table that are allowed to be written by the application. The write query is redirected to the physical database table in response to determining that the query complies with the key pattern definition. The query is rejected in response to determining that the query does not comply with the key pattern configuration.

Abstract: The present disclosure teaches solutions for patching content in database systems. In one example, a deployment package for an upgrade of a database system to a new system is received, and the content is deployed to a shared container. Shared objects are identified that are completely stored in the shared container, and partially-shared objects are identified where those objects have a shared portion in the shared container and a tenant portion in one or more tenant containers. First shared content is determined for the shared objects, while second shared content is determined for partially-shared objects. The first and second shared content is then deployed to the shared container. Local content is determined for the partially-shared objects and is deployed to each tenant container. Local content is then identified for local objects and is also deployed to each respective tenant container. Accordingly, both shared and tenant content is deployed.

Abstract: The present disclosure involves systems, software, and computer implemented methods for data separation and write redirection in multi-tenancy database systems. One example method includes providing access to at least one application to a database system. A query is received from an application. A determination is made that the query is associated with a union view that provides unified access to a first read-only table in a shared database container and a first writable table in a tenant database container. A determination is made as to whether the query is a read query or a write query. In response to determining that the query is a read query, the query is processed using the union view. In response to determining that the query is a write query, the query is modified to use the first writable table and the query is processed using the writable table.

Abstract: Methods, systems, and computer-readable storage media for, in response to initiation of a deployment to a multi-tenant system, cloning a shared table in a shared container of a database system to provide a cloned table, the shared table corresponding to a plurality of table views in respective tenant containers, providing, within each tenant container of the tenant containers, an updated view to the cloned table, for a data object of the deployment, determining a previous location of the data object within the database system from an object catalog, and a new location of the data object within the database system from a deploy file, and storing the data object in one of the shared container, and a tenant container of a respective tenant based on one or both of the previous location, and the new location of the data object.

Abstract: The present disclosure involves systems, software, and computer implemented methods for exchanging shared containers and adapting tenants in database systems. One example method includes receiving a request to deploy a new version of a database system. A deployment package is received that includes new version data. A new shared container is installed in parallel to a current shared container. The new version is deployed to each of multiple tenant containers. Each of the tenant containers is individually linked to the new shared container, including dropping at least one view in each respective tenant container to shared content in the current shared container and adding at least one view in each respective tenant container to the updated shared content in the new shared container. Changed tenant content is deployed to each tenant container. The current shared container is dropped after deployment to each of the multiple tenant containers has completed.

Abstract: The present disclosure involves systems, software, and computer implemented methods for exchanging shared containers and adapting tenants in database systems. One example method includes receiving a request to deploy a new version of a database system. A deployment package is received that includes new version data. A new shared container is installed in parallel to a current shared container. The new version is deployed to each of multiple tenant containers. Each of the tenant containers is individually linked to the new shared container, including dropping at least one view in each respective tenant container to shared content in the current shared container and adding at least one view in each respective tenant container to the updated shared content in the new shared container. Changed tenant content is deployed to each tenant container. The current shared container is dropped after deployment to each of the multiple tenant containers has completed.

Abstract: The present disclosure involves systems, software, and computer implemented methods for key pattern management. One example method includes receiving a query for a logical database table from an application. A determination is made as to whether the query is a write query. In response to determining that the query is a write query, a determination is made as to whether the query complies with a key pattern configuration that describes keys of records included in a physical database table that is part of a logical table implementation. The physical table includes records of the logical database table that are allowed to be written by the application. The write query is redirected to the physical database table in response to determining that the query complies with the key pattern definition. The query is rejected in response to determining that the query does not comply with the key pattern configuration.

Abstract: The present disclosure involves systems, software, and computer implemented methods for patching content in database systems. One example method includes receiving a deployment package for an upgrade of a database system to a new version. Content is deployed to a shared container. Shared objects are identified that are completely stored in the shared container. First shared content is determined for shared objects. Partially-shared objects are identified that have a shared portion in the shared container and a tenant portion in one or more tenant containers. Second shared content is determined for partially-shared objects. The first shared and second shared content are deployed to the shared container. Local content is determined for the partially-shared objects and deployed to each tenant container. Local objects that have no data in the shared container are identified. Local content is identified for the local objects and deployed to each respective tenant container.

Abstract: The present disclosure involves systems, software, and computer implemented methods for data separation and write redirection in multi-tenancy database systems. One example method includes providing access to at least one application to a database system. A query is received from an application. A determination is made that the query is associated with a union view that provides unified access to a first read-only table in a shared database container and a first writable table in a tenant database container. A determination is made as to whether the query is a read query or a write query. In response to determining that the query is a read query, the query is processed using the union view. In response to determining that the query is a write query, the query is modified to use the first writable table and the query is processed using the writable table.

Abstract: Methods, systems, and computer-readable storage media for applying corrections during an upgrade procedure of a software management system include actions of receiving a set of white-listed object types, receiving a set of corrections to be imported, the set of corrections including a set of objects, to which corrections are to be applied during the upgrade procedure, determining a set of object types included in the set of corrections, the set of object types including one or more object types, and selectively permitting one or more transport requests to effect corrections of the set of corrections to be issued during the upgrade procedure based on the set of object types and the set of white-listed object types.

Abstract: Methods, systems, and computer-readable storage media for applying corrections during an upgrade procedure of a software management system include actions of receiving a set of white-listed object types, receiving a set of corrections to be imported, the set of corrections including a set of objects, to which corrections are to be applied during the upgrade procedure, determining a set of object types included in the set of corrections, the set of object types including one or more object types, and selectively permitting one or more transport requests to effect corrections of the set of corrections to be issued during the upgrade procedure based on the set of object types and the set of white-listed object types.

Abstract: Techniques for managing a file-based versioning of data objects include receiving, from a back-end computing system, a transport request that includes an updated transport object, the updated transport object including serialized database content of a data object; converting the serialized database content of the updated transport object to file-based content; storing the file-based content of the updated transport object in a repository over a previously-stored version of the transport object; and updating a database that includes a change history of the data object based on the storage of the file-based content in the repository.

Abstract: Techniques for managing a file-based versioning of data objects include receiving, from a back-end computing system, a transport request that includes an updated transport object, the updated transport object including serialized database content of a data object; converting the serialized database content of the updated transport object to file-based content; storing the file-based content of the updated transport object in a repository over a previously-stored version of the transport object; and updating a database that includes a change history of the data object based on the storage of the file-based content in the repository.

Abstract: An adaptive automatic change management for computer system landscapes is described herein. A predefined set of attributes are extracted or obtained for a computer system artifact, together with a number of values assigned to the set of attributes. A unique identification section is created and distributed among the computer systems in the landscape based on the set of attributes and the assigned values, where the unique identification section encompass computer system artifacts of a same kind. A modification of an artifact of the same kind is tracked at a computer system. The tracked modification is automatically applied in the computer system to one or more incoming computer system artifacts of the same kind.

Abstract: Described are methods and systems related to transporting one or more object packets present in a nested hierarchy of one or more system landscapes. The object packets available for transporting from source systems to target systems present in the nested hierarchy of the system landscapes is identified. A transport request is generate for a collection of object packets of each source system in the nested hierarchy of the system landscapes. The transport requests are aggregated to render a nested transport collection. The nested transport collection is transported within the nested hierarchy of the system landscapes. The nested transport collection is deployed to assign the transport requests present in the nested transport collection to the target systems present in the nested hierarchy of the system landscapes.