Abstract: Example resource management systems and methods are described. In one implementation, a resource manager is configured to manage data processing tasks associated with multiple data elements. An execution platform is coupled to the resource manager and includes multiple execution nodes configured to store data retrieved from multiple remote storage devices. Each execution node includes a cache and a processor, where the cache and processor are independent of the remote storage devices. A metadata manager is configured to access metadata associated with at least a portion of the multiple data elements.

Abstract: Example resource provisioning systems and methods are described. In one implementation, multiple processing resources are provided within a data warehouse. The processing resources include at least one processor and at least one storage device. At least one query to process database data is received. At least some of the processing resources may process the database data. When a processing capacity of the processing resources has reached a threshold processing capacity, the processing capacity is automatically scaled by adding at least one additional processor to the data warehouse.

Abstract: Example resource management systems and methods are described. In one implementation, a processing device is to: provide a plurality of virtual processors, each virtual processor comprising a cache memory to cache a portion of database data accessed from a storage platform; receive a query referencing the database data stored in the storage platform; determine at least one task to process the received query; and allocate the at least one task to a subset of the plurality of virtual processors to process the at least one task. The allocation may be based at least in part on the respective portions of the database data that are cached within the respective cache memories of the subset of the plurality of virtual processors.

Abstract: A method and apparatus managing a set of processors for a set of queries is described. In an exemplary embodiment, a device receives a set of queries for a data warehouse, the set of queries including one or more queries to be processed by the data warehouse. The device further provisions a set of processors from a first plurality of processors, where the set of processors to process the set of queries, and a set of storage resources to store data for the set of queries. In addition, the device monitors a utilization of the set of processors as the set of processors processes the set of queries. The device additionally updates a number of the processors in the set of processors provisioned based on the utilization/Furthermore, the device processes the set of queries using the updated set of processors.

Abstract: A system and method for just in time compilation for hash table probing are disclosed. In one implementation, the method of using just-in-time compilation is used to combine the stages of hash value computation and initial lookup into a single compound operation. In another implementation, the method of using just-in-time compilation is used to combine the stages of a hash table record and input record checking to detect if these records are equal, and if not, fetching the next possible record in the linked list of the per-bucket records.

Abstract: A system and method for pruning data based on metadata. The method may include receiving a query that includes a plurality of predicates and identifying one or more applicable files including database data satisfying at least one of the plurality of predicates. The identifying the one or more applicable files including reading metadata stored in a metadata store that is separate from the database data. The method further includes pruning inapplicable files including database data that does not satisfy at least one of the plurality of predicates to create a reduced set of files and reading the reduced set of files to execute the query.

Abstract: A method, apparatus, and system for join operations of a plurality of relations that are distributed over a plurality of storage locations over a network of computing components.

Abstract: A method, apparatus, and system for join operations of a plurality of relations that are distributed over a plurality of storage locations over a network of computing components. An example method includes: receiving a relational join query for a join operation associated with a first relation and a second relation; generating at least one build operator and at least one probe operator to perform build operations and probe operations, respectively, of the join operation; and managing a state of one or more communication links between the at least one build operator and the at least one probe operator based on a size of the second relation as determined by the at least one build operator and an estimated size of the first relation.

Abstract: Systems, methods, and devices, for managing data skew during a join operation are disclosed. A method includes computing a hash value for a join operation and detecting data skew on a probe side of the join operation at a runtime of the join operation using a lightweight sketch data structure. The method includes identifying a frequent probe-side join key on the probe side of the join operation during a probe phase of the join operation. The method includes identifying a frequent build-side row having a build-side join key corresponding with the frequent probe-side join key. The method includes asynchronously distributing the frequent build-side row to one or more remote servers.

Abstract: A method, apparatus, and system for join operations of a plurality of relations that are distributed over a plurality of storage locations over a network of computing components.

Abstract: A restricted view definition is received by a database system. The restricted view definition defines a view over a database table with one or more restrictions on use of the view. The view over the database table is generated based on the restricted view definition. A query directed at the view is received by the database system. The database system determines whether the query directed at the view is permitted based on the one or more restrictions on the use of the view.

Abstract: A method and apparatus managing a set of processors for a set of queries is described. In an exemplary embodiment, a device receives a set of queries for a data warehouse, the set of queries including one or more queries to be processed by the data warehouse. The device further provisions a set of processors from a first plurality of processors, where the set of processors to process the set of queries, and a set of storage resources to store data for the set of queries. In addition, the device monitors a utilization of the set of processors as the set of processors processes the set of queries. The device additionally updates a number of the processors in the set of processors provisioned based on the utilization/ Furthermore, the device processes the set of queries using the updated set of processors.

Abstract: Example resource management systems and methods are described. In one implementation, a resource manager is configured to manage data processing tasks associated with multiple data elements. An execution platform is coupled to the resource manager and includes multiple execution nodes configured to store data retrieved from multiple remote storage devices. Each execution node includes a cache and a processor, where the cache and processor are independent of the remote storage devices. A metadata manager is configured to access metadata associated with at least a portion of the multiple data elements.

Abstract: A method and apparatus managing a set of processors for a set of queries is described. In an exemplary embodiment, a device receives a set of queries for a data warehouse, the set of queries including one or more queries to be processed by the data warehouse. The device further provisions a set of processors from a first plurality of processors, where the set of processors to process the set of queries, and a set of storage resources to store data for the set of queries. In addition, the device monitors a utilization of the set of processors as the set of processors processes the set of queries. The device additionally updates a number of the processors in the set of processors provisioned based on the utilization/ Furthermore, the device processes the set of queries using the updated set of processors.

Abstract: Example resource management systems and methods are described. In one implementation, a resource manager is configured to manage data processing tasks associated with multiple data elements. An execution platform is coupled to the resource manager and includes multiple execution nodes configured to store data retrieved from multiple remote storage devices. Each execution node includes a cache and a processor, where the cache and processor are independent of the remote storage devices. A metadata manager is configured to access metadata associated with at least a portion of the multiple data elements.

Abstract: A method and apparatus managing a set of processors for a set of queries is described. In an exemplary embodiment, a device receives a set of queries for a data warehouse, the set of queries including one or more queries to be processed by the data warehouse. The device further provisions a set of processors from a first plurality of processors, where the set of processors to process the set of queries, and a set of storage resources to store data for the set of queries. In addition, the device monitors a utilization of the set of processors as the set of processors processes the set of queries. The device additionally updates a number of the processors in the set of processors provisioned based on the utilization/Furthermore, the device processes the set of queries using the updated set of processors.

Abstract: A method and apparatus managing a set of processors for a set of queries is described. In an exemplary embodiment, a device receives a set of queries for a data warehouse, the set of queries including one or more queries to be processed by the data warehouse. The device further provisions a set of processors from a first plurality of processors, where the set of processors to process the set of queries, and a set of storage resources to store data for the set of queries. In addition, the device monitors a utilization of the set of processors as the set of processors processes the set of queries. The device additionally updates a number of the processors in the set of processors provisioned based on the utilization. Furthermore, the device processes the set of queries using the updated set of processors.

Abstract: Example resource management systems and methods are described. In one implementation, a resource manager is to be coupled to one or more virtual data warehouse instances that each comprise a plurality of computing resources. A resource manager receives a query directed to database data. The resource manager determines a plurality of tasks associated with the query. The resource manager distributes the plurality of tasks among the one or more virtual data warehouse instances to cause each computing resource of the plurality of computing resources of the one or more virtual data warehouse instances to process a respective task of the plurality of tasks. The resource manager receives results obtained from the processing of the plurality of tasks. The resource manager uses the results to respond to the query.

Abstract: Systems, methods, and devices, for managing data skew during a join operation are disclosed. A method includes computing a hash value for a join operation and detecting data skew on a probe side of the join operation at a runtime of the join operation using a lightweight sketch data structure. The method includes identifying a frequent probe-side join key on the probe side of the join operation during a probe phase of the join operation. The method includes identifying a frequent build-side row having a build-side join key corresponding with the frequent probe-side join key. The method includes asynchronously distributing the frequent build-side row to one or more remote servers.

Abstract: A method, apparatus, and system for join operations of a plurality of relations that are distributed over a plurality of storage locations over a network of computing components.