Abstract: Implementations of the present disclosure include receiving, by a parser, a view source file and an extension source file, the view source file defining a view on data stored in a database, the extension source file defining an extension to the view, parsing, by the parser, the view source file to provide a view abstract syntax tree (AST) and the extension source file to provide an extension AST, providing, by the parser, a merged AST based on the view AST and the extension AST, generating a mixed runtime data object using the merged AST, and providing the mixed runtime data object for consumption by at least one runtime component.

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 ensuring seamless lifecycle stability for extensions to standard software products. One example method includes determining a requested change to a software feature of a software object. The software feature has been designated as an extensible software feature and is associated with a lifecycle stability contract that identifies aspects of the extensible software feature that are designated to remain stable across different releases of the software object. The lifecycle stability contract is used to perform a compatibility check for the requested change to determine whether the requested change complies with the lifecycle stability contract. The requested change is permitted in response to determining that the requested change complies with the lifecycle stability contract and the requested change is denied in response to determining that the requested change violates the lifecycle stability contract.

Abstract: Methods, systems, and computer-readable storage media for include receiving, by a parser, a view source file and an extension source file, the view source file defining a view on data stored in a database, the extension source file defining an extension to the view, parsing, by the parser, the view source file to provide a view abstract syntax tree (AST) and the extension source file to provide an extension AST, providing, by the parser, a merged AST based on the view AST and the extension AST, generating a mixed runtime data object using the merged AST, and providing the mixed runtime data object for consumption by at least one runtime component.

Abstract: The present disclosure involves systems, software, and computer implemented methods for enabling data source extensions for individual customers of a cloud platform. One example method includes receiving an extension request, from a particular customer, to extend a data source used to populate an application output. A selection is received of at least one field to be included in a data source extension that extends the data source. Extensibility metadata is stored, in association with the particular customer, that defines the data source extension. The extensibility metadata identifies the data source, the particular customer, and the selected at least one field. A data request is received, from a client device of a user of the customer, for a field included in the data source extension. The data source extension is used to retrieve a field value for the field and the field value is provided in response to the data request.

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 transitioning between database system sharing types. In one example, a tenant container includes a read-only table, a first writable table, and a mixed table for storing read-only and writable data. When transitioning to a sharing setup, a shared container is created and a shared table is created in the shared container. Data is copied from the read-only table to the shared table and the read-only table is dropped. A read-only view is created in the tenant container and a second shared table is created in the shared container. Read-only mixed data is copied from the mixed table to the second shared table and deleted from the mixed table, and after the deletion, the mixed table is renamed as the second writable table. A union view is created that provides unified access to the second shared table and the second writable table.

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 deploying changes to key patterns in database systems. One example method includes receiving a new shared container that includes a new key pattern for a logical split table and an updated read-only-portion physical table for a logical split table. The updated read-only-portion physical table includes records that match a complement of the new key pattern. Records that match the new key pattern are identified in the read-only-portion physical table of the logical split table in a current shared container. The identified records are moved from the read-only-portion physical table in the current shared container to a writable-portion physical table in a tenant container. Records not matching the new key pattern are deleted from the writable-portion physical table of the logical split table in the tenant container.

Abstract: The present disclosure involves systems, software, and computer implemented methods for enabling multiple system sharing types in multi-tenancy database systems. One example method includes determining a system sharing type configuration for a database system. The system sharing type configuration is one of standard, shared, tenant, or simulated. Tables are created in the database system based on the system sharing type configuration and the table sharing type of each table. Content is deployed to created tables in the database system based on the system sharing type configuration and the table sharing type of each table. Access is provided to at least one application to the database system based on the system sharing type configuration and the table sharing type of each table.

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: The present disclosure involves systems, software, and computer implemented methods for enabling data source extensions for individual customers of a cloud platform. One example method includes receiving an extension request, from a particular customer, to extend a data source used to populate an application output. A selection is received of at least one field to be included in a data source extension that extends the data source. Extensibility metadata is stored, in association with the particular customer, that defines the data source extension. The extensibility metadata identifies the data source, the particular customer, and the selected at least one field. A data request is received, from a client device of a user of the customer, for a field included in the data source extension. The data source extension is used to retrieve a field value for the field and the field value is provided in response to the data request.

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 deploying changes in a multi-tenancy database system. One example method includes upgrading at least one tenant database container in a database system. Table structure differences and table sharing type differences are determined by comparing tables in a current-version shared container to tables in a next-version shared container. A current key pattern configuration in the current-version shared container is compared to an updated key pattern configuration in the next-version shared container to identify key pattern configuration differences. Each table in the at least one tenant database container is upgraded based on the table structure differences, the table sharing type differences, and the key pattern configuration differences.

Abstract: The present disclosure involves systems, software, and computer implemented methods for deploying changes in a multi-tenancy database system. One example method includes upgrading at least one tenant database container in a database system. Table structure differences and table sharing type differences are determined by comparing tables in a current-version shared container to tables in a next-version shared container. A current key pattern configuration in the current-version shared container is compared to an updated key pattern configuration in the next-version shared container to identify key pattern configuration differences. Each table in the at least one tenant database container is upgraded based on the table structure differences, the table sharing type differences, and the key pattern configuration differences.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transitioning between database system sharing types. One example method includes identifying a tenant container that includes a read-only table, a first writable table, and a mixed table for storing read-only and writable data. A shared container is created. A shared table is created in the shared container. Data is copied from the read-only table to the shared table. The read-only table is dropped. A read-only view is created in the tenant container. A second shared table is created in the shared container. Read-only mixed data is copied from the mixed table to the second shared table and deleted from the mixed table. The mixed table is renamed to be the second writable table. A union view is created that provides unified access to the second shared table and the second writable table.

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: 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 deploying changes to key patterns in database systems. One example method includes receiving a new shared container that includes a new key pattern for a logical split table and an updated read-only-portion physical table for a logical split table. The updated read-only-portion physical table includes records that match a complement of the new key pattern. Records that match the new key pattern are identified in the read-only-portion physical table of the logical split table in a current shared container. The identified records are moved from the read-only-portion physical table in the current shared container to a writable-portion physical table in a tenant container. Records not matching the new key pattern are deleted from the writable-portion physical table of the logical split table in the tenant container.

Abstract: The present disclosure involves systems, software, and computer implemented methods for enabling multiple system sharing types in multi-tenancy database systems. One example method includes determining a system sharing type configuration for a database system. The system sharing type configuration is one of standard, shared, tenant, or simulated. Tables are created in the database system based on the system sharing type configuration and the table sharing type of each table. Content is deployed to created tables in the database system based on the system sharing type configuration and the table sharing type of each table. Access is provided to at least one application to the database system based on the system sharing type configuration and the table sharing type of each table.