Abstract: Interruptible computing resources for executing queries may be selected. When queries are received, the probability that query can complete execution at interruptible computing resources may be determined. Computing resources to process the query may be selected based on the probability. For queries that are performed on computing resources that are interrupted, interruption handling techniques may retry the query on other computing resources or complete the query on other computing resources, in some embodiments.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Abstract: Optimized query plans may be generated independent of the query engine that performs the optimized query plan. A request to generate an optimized query plan for a query may be received and a type of engine for performing the query may be identified. An initial plan may be generated in an engine-specific format for the type of engine that is translated into an optimization plan format. An analysis of the initial plan optimization plan format may be performed to generate an optimized query plan. The optimized query plan may be translated into the engine-specific format and sent in response to the request for the optimized query plan.

Abstract: Available capacity of resources hosted in different networks may be evaluated to select resources for the performance of a query. A query may be received via an interface for one network. The available capacity of the one network and other networks may be evaluated to select resources hosted in another network to perform the query instead of the resources in the one network. The query may then be routed to the resources in the other network and result of the query performed at the resources in the other network provided.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: A network-based data discovery and consumption coordination service may provide data set listings for purchase offered by respective data vendors. The data discovery and consumption coordination service may provide listings in response to search requests based on various search criteria, as well as various filtering techniques based on user reviews, ratings, and other user purchase history for data set listings. The data discovery and consumption coordination service may receive a purchase request via a network-based interface for the service. Data consumption resources which may consume a purchased data set may also be identified via the network-based interface for the data discovery and consumption coordination service. The data discovery and consumption coordination service may direct the transfer of the data set for the purchased data set listing to the identified data consumption resource.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Abstract: The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Abstract: A method is described for monitoring data store performance and recommending a data store structure for a data store. The method may include analyzing a data store structure to determine whether the data store structure corresponds to a set of criteria, analyzing a query executed against the data store structure to determine performance of the query with respect to the data store structure and providing a proposed data store structure to a customer based at least on part on the analysis of the data store structure and analysis of the query.

Abstract: Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Abstract: The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Abstract: Event-driven management may be implemented for resource pools. Pool management events may be detected at computing resources in a resource pool. Operations based on the pool management events may then be performed at the computing resources. In some embodiments, pool management events may trigger operations to a recycle a computing resource for reuse in a resource pool or perform other resource lifecycle operations.

Abstract: Interruptible computing resources for executing queries may be selected. When queries are received, the probability that query can complete execution at interruptible computing resources may be determined. Computing resources to process the query may be selected based on the probability. For queries that are performed on computing resources that are interrupted, interruption handling techniques may retry the query on other computing resources or complete the query on other computing resources, in some embodiments.

Abstract: Stateful resource pool management may be implemented for executing jobs. Metrics for pools of computing resources that are configured to execute jobs on behalf of network-based services may be collected. The metrics may be evaluated to detect a modification event for a pool of computing resources. The pool of computing resources may then be modified according to the detected modification event for the pool. Evaluation of metrics may be performed automatically as part of monitoring a resource pool, in some embodiments.

Abstract: Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.