Abstract: Interleaved infrastructure can interleave fragment execution during query compilation. For example, compilation can be paused, and a plan fragment is executed. The results of the plan fragment can be fed back into the compiler, which can then restart the compilation and modify the compilation based on the results of the plan fragment execution. The interleaved workflow provides a flexible, robust infrastructure, which can enable and improve a variety of database features and query optimizations.

Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

Abstract: A method implementing a fault-tolerant data warehouse including allocating a plurality of processing units to a data warehouse, the processing units located in different availability zones, an availability zone comprising one or more data centers. The method further includes, as a result of monitoring a number of queries running at an input degree of parallelism on the plurality of processing units of the data warehouse, determining that the number of queries is serviceable by one fewer processing units. The method further includes routing a query from a first processing unit to a second processing unit within the data warehouse, the query having a common session identifier with another query previously provided to the second processing unit, the second processing unit determined to be caching a data segment associated with a cloud storage resource, usable by the query, and removing the first processing unit from the data warehouse.

Abstract: A method and apparatus for managing a set of storage resources for a set of queries is described. In an exemplary embodiment, a method provisions processing resources of an execution platform and provisions storage resources of a storage platform. The execution platform uses the storage platform, which is shared with the execution platform, to process the set of queries. The method changes a number of the storage resources provisioned for the storage platform based on a storage capacity utilization by the set of queries of the storage resources. The method changes the number of the storage resources independently to a change of the processing resources in the execution platform. The method processes the set of queries using the changed number of the storage resources provisioned for the storage platform.

Abstract: A method for a first set of processors and a second set of processors comprises, the first set of processors processing a set of queries, as a result of a change in utilization of the first set of processors, processing the set of queries using the second set of processors. The change in processors is independent of a change in storage resources, the storage resources shared by the first set of processors and the second set of processors.

Abstract: Techniques described herein can allow users to share cached results of an original query with other users while protecting sensitive information. The techniques described herein can check whether the other users have access to the underlying data queried before allowing those users to see the stored query results. That is, the system may perform privilege checks on the shared users before giving them access to the stored query results but without having to re-run the original query.

Abstract: System and method for efficiently querying external tables are described herein. In an embodiment, a database platform receives a query that is directed at least in part to external data in an external table stored on a data storage platform that is external to the database platform. The external table includes a plurality of partitions. The database platform identifies, from external-table metadata, a subset of the plurality of partitions of the external table as including data that potentially satisfies the query. The external-table metadata is stored by the database platform. The database platform identifies data that satisfies the query by scanning the identified subset of the partitions, and responds to the query at least in part with the identified data that satisfies the query.

Abstract: The subject technology receives, at a first execution node, a first transaction, the first transaction to be executed on linearizable storage. The subject technology determines whether the first execution node corresponds to a rank indicating a leader worker. The subject technology, in response to the first execution node corresponding to the rank indicating the leader worker, performs, by the first execution node, an initialization process for executing the first transaction. The subject technology broadcasts a first read timestamp associated with the first transaction to a set of execution nodes, the set of execution nodes being different than the first execution node. The subject technology executes, by the first execution node, at least a first operation from the first transaction.

Abstract: In an embodiment, an application is created on a data-provider platform. The application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. Provider data is shared with the application on the data-provider platform. An application instance of the application is installed in a trusted execution environment (TEE). The application instance includes one or more APIs corresponding to the one or more APIs in the application on the data-provider platform. Consumer data is shared with the application instance from a data-consumer platform. One or more of the APIs of the application instance are invoked to execute, on the TEE, respective associated underlying code blocks that are not visible on the TEE. The output of the one or more respective associated underlying code blocks is saved to the data-consumer platform.

Abstract: Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.

Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

Abstract: Interleaved infrastructure can interleave fragment execution during query compilation. For example, compilation can be paused, and a plan fragment is executed. The results of the plan fragment can be fed back into the compiler, which can then restart the compilation and modify the compilation based on the results of the plan fragment execution. The interleaved workflow provides a flexible, robust infrastructure, which can enable and improve a variety of database features and query optimizations.

Abstract: Embodiments of the present disclosure may provide dynamic and fair assignment techniques for allocating resources on a demand basis. Assignment control may be separated into at least two components: a local component and a global component. Each component may have an active dialog with each other; the dialog may include two aspects: 1) a demand for computing resources, and 2) a total allowed number of computing resources. The global component may allocate resources from a pool of resources to different local components, and the local components in turn may assign their allocated resources to local competing requests. The allocation may also be throttled or limited at various levels.

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: Hybrid tables can be used in different use-case scenarios. Hybrid tables provide a flexible mechanism to support files and data in different formats while providing access to the different types of data as part of one table. This flexibility can allow the use of hybrid tables in data lake or other similar environments.

Abstract: The subject technology provides embodiments for supporting a unified table which may be a managed table or an unmanaged table. Managed tables are those where the subject technology manages the metastore/catalog for the table, whereas unmanaged tables are tables where an external catalog controls the table and the subject technology integrates with that catalog to work with the table, but does not assume control of the table.

Abstract: A system and method of scaling capacity of data warehouses to user-defined levels. The method includes determining a performance associated with processing one or more queries. The method includes receiving a request to process data stored on a storage platform. The method includes adjusting, by a processing device based on the performance, a timing associated with the processing of the one or more queries to adjust a different timing associated with processing the request.

Abstract: A system and method for managing data storage and data access with querying data in a distributed system without buffering the results of intermediate operations in storage. The method includes providing, by a first processor, as a result of executing a query plan, an intermediate result to a plurality of secondary processors. Processing of the intermediate result by the plurality of secondary processors generates a plurality of secondary results. A final result is stored to a storage device.

Abstract: Joining data using a disjunctive operator is described. An example computer-implemented method can include generating, with a processing device, a query plan for a query, the query comprising a join operator expression for a disjunctive predicate, wherein the join operator expression includes a conjunctive predicate and a disjunctive operator. The method may further include generating a bloom filter for the disjunctive operator. Additionally, the method may include generating a result set as a result of evaluating the join operator expression using the disjunctive operator and bloom filter for the disjunctive predicate.

Abstract: Systems and methods for generating object references with selectable scopes are provided. The systems and methods perform operations including calling, by a first entity, a reference generator function using one or more arguments associated with a database object that the first entity is authorized to access according to a first set of access privileges, the one or more arguments comprising a scope definition that defines persistence of a reference. The operations include obtaining, from the reference generator function, a reference to the database object, the reference persisting according to the scope definition. The operations include passing the reference to a second entity to enable the second entity to perform one or more database operations on the database object according to a second set of access privileges derived from the first set of access privileges.