Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in a federated database system or in a cache of a database management system of a central computing system. When data associated with the virtual table is requested, or prior to receiving the request, the data can be stored in a table in the cache. The logical pointer can be updated to reference the cache. If the cache is full, the table can be removed from the cache, and the logical pointer can be updated to reference a table at the federated database system.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in a federated database system or in a cache of a database management system of a central computing system. When data associated with the virtual table is requested, or prior to receiving the request, the data can be stored in a table in the cache. The logical pointer can be updated to reference the cache. If the cache is full, the table can be removed from the cache, and the logical pointer can be updated to reference a table at the federated database system.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Implementations of the present disclosure include receiving a query, the query including an expression macro (EM), processing the query to provide a raw parse tree, the raw parse tree including an initial node representative of the EM, retrieving metadata corresponding to the EM, the metadata including a definition string, replacing the initial node with a node based on the definition string to provide a consumable parse tree, and executing the query within the database system using the consumable parse tree to provide a query result.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in a federated database system or in a cache of a database management system of a central computing system. When data associated with the virtual table is requested, or prior to receiving the request, the data can be stored in a table in the cache. The logical pointer can be updated to reference the cache. If the cache is full, the table can be removed from the cache, and the logical pointer can be updated to reference a table at the federated database system.

Abstract: Implementations of the present disclosure include receiving, by a query processing server, a first query, the first query including a syntax indicating that precision loss is allowed, processing, by the query processing server, the first query to provide a first QEP, optimization of which would result in precision loss in a generated query result, determining that the syntax is provided, and in response, optimizing the first QEP to provide an optimized QEP, executing the optimized QEP to generate a query result that includes data stored within a database system, the query result having reduced accuracy relative to a query result that would be generated based on the first QEP, and providing the query result as output from the database system.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in a federated database system or in a cache of a database management system of a central computing system. When data associated with the virtual table is requested, or prior to receiving the request, the data can be stored in a table in the cache. The logical pointer can be updated to reference the cache. If the cache is full, the table can be removed from the cache, and the logical pointer can be updated to reference a table at the federated database system.

Abstract: Methods and systems for generating and executing a database process are described. One example method includes receiving a request at the virtual server according to the infrastructure protocol, the infrastructure protocol configured to perform actions on virtual server resources; determining an application associated with the request; and performing one or more actions associated with the request using a set of application resources associated with the application.

Abstract: A method, a system and a computer program product for executing management of ownership of data. An index in a plurality of indexes is selected. The index corresponds to a plurality of ranges of data values stored in a plurality of database slices of a database. The index further corresponds to a partitioning structure that includes a plurality of hierarchically arranged nodes. Each node corresponds to a range of data values stored in at least one database slice. The structure is replicated across a plurality of computing systems. A computing system executes an update to one or more ranges of data values. The system replicates at least one of a database slice including the updated ranges of data values and a node that includes the updated ranges of data values to another computing system for storage of a replicate of the updated ranges of data values.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in a federated database system or in a cache of a database management system of a central computing system. When data associated with the virtual table is requested, or prior to receiving the request, the data can be stored in a table in the cache. The logical pointer can be updated to reference the cache. If the cache is full, the table can be removed from the cache, and the logical pointer can be updated to reference a table at the federated database system.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as tables located in a remote database system, replica tables containing data replicated from a table in a remote database system, or cached table data. Replica tables targeted by a logical pointer of a virtual table schema can have various locations, such as being located in main memory of a database system, being located in a dynamic storage system, or being located in a data lake. Replica tables can be transferred between locations based on various criteria.

Abstract: A method, a system and a computer program product for executing management of ownership of data. An index in a plurality of indexes is selected. The index corresponds to a plurality of ranges of data values stored in a plurality of database slices of a database. The index further corresponds to a partitioning structure that includes a plurality of hierarchically arranged nodes. Each node corresponds to a range of data values stored in at least one database slice. The structure is replicated across a plurality of computing systems. A computing system executes an update to one or more ranges of data values. The system replicates at least one of a database slice including the updated ranges of data values and a node that includes the updated ranges of data values to another computing system for storage of a replicate of the updated ranges of data values.

Abstract: A method can include: generating a query execution plan for a query including a plurality of operations that operate on data from a relational database and data from a non-structured query language (NoSQL) database, the generating comprising optimizing the query by: identifying a first operation that operate on data from the relational database and an intermediate result output by a second operation, the second operation outputting the intermediate result by operating on the data from the NoSQL database; and determining a fixed datatype for the intermediate result, an indication of the fixed datatype being included in the query execution plan; and executing, based on the query execution plan, the query, the executing of the query comprising converting the intermediate result to the fixed datatype, the converting enabling the first operation to operate on the intermediate result output by the second operation along with the data from the relational database.

Abstract: Implementations of the present disclosure include receiving a query, the query including an expression macro (EM), processing the query to provide a raw parse tree, the raw parse tree including an initial node representative of the EM, retrieving metadata corresponding to the EM, the metadata including a definition string, replacing the initial node with a node based on the definition string to provide a consumable parse tree, and executing the query within the database system using the consumable parse tree to provide a query result.

Abstract: Implementations of the present disclosure include receiving, by a query processing server, a first query, the first query including a syntax indicating that precision loss is allowed, processing, by the query processing server, the first query to provide a first QEP, optimization of which would result in precision loss in a generated query result, determining that the syntax is provided, and in response, optimizing the first QEP to provide an optimized QEP, executing the optimized QEP to generate a query result that includes data stored within a database system, the query result having reduced accuracy relative to a query result that would be generated based on the first QEP, and providing the query result as output from the database system.

Abstract: A system includes reception of a first query at a first host, determination, at the first host, that the first query is associated with a first table, the first table including geographically-restricted data and a partitioning column storing identifiers of geographic restrictions, determination, at the first host and based on the partitioning column of the first table and on the first query, a first partition of the first table and a storage location of the first partition, and execution of the first query at the first host in conjunction with the storage location of the first partition.

Abstract: A system, medium, and method to define a database table and view based on a database model using a database language statement, the database language statement including a statement to create the table and a forward-declared JOIN statement that names the table and view, respectively and includes information regarding a relationship between at least two entities of the database.