Resource provisioning systems and methods

1. A method comprising:

receiving a set of queries comprising one or more queries to be processed by a virtual data warehouse;

provisioning a set of nodes from a first plurality of nodes, the set of nodes to process the set of queries, wherein the set of nodes are coupled to a set of storage resources shared by each of the set of nodes to store data for the set of queries;

monitoring a utilization of the set of nodes as the set of nodes processes the set of queries;

updating a number of the nodes in the set of nodes provisioned based on the utilization of the set of nodes as the set of nodes that are processing the set of queries, wherein updating of the set of storage resources is independent to a change in the number of nodes; and

processing the set of queries using the updated set of nodes.

2. The method of claim 1 , wherein the updating the number of nodes includes increasing the number of nodes in the set of nodes.

3. The method of claim 1 , wherein the updating the number of nodes includes decreasing the number of nodes in the set of nodes.

4. The method of claim 1 , wherein the utilization is selected from a group consisting of a number of queries running concurrently, a percentage of maximum load, and query processing delay.

5. The method of claim 1 , further comprising:

receiving an additional query for the set of queries.

6. The method of claim 5 , determining a change in the set of nodes in response to receiving the additional query.

7. The method of claim 1 , further comprising:

optimizing at least one of the queries in the set of queries.

8. The method of claim 1 , wherein the virtual data warehouse is coupled to a relational database.

9. The method of claim 8 , wherein the relational database is a structured query language database.

10. The method of claim 1 , wherein the virtual data warehouse is coupled to a database system that is a multi-tenant database and isolates computing resources and data between a plurality of different customers.

11. A system comprising:

a set of storage resources;

a resource manager implemented in a processor, which executes to:

receive a set of queries comprising one or more queries to be processed by a virtual data warehouse;

provision a set of nodes from a first plurality of nodes, the set of nodes to process the set of queries, wherein the set of nodes are coupled to a set of a set of storage resources shared by each of the set of nodes to store data for the set of queries;

monitor a utilization of the set of nodes as the set of nodes processes the set of queries; and

update a number of the nodes in the set of nodes provisioned based on the utilization of the set of nodes as the set of nodes that are processing the set of queries, wherein updating of the set of storage resources is independent to a change in the number of nodes; and

a plurality of nodes to process the set of queries using the updated set of nodes.

12. The system of claim 11 , wherein the resource manager updates the number of nodes by increasing the number of nodes in the set of nodes.

13. The system of claim 11 , wherein the resource manager updates the number of nodes by decreasing the number of nodes in the set of nodes.

14. The system of claim 11 , wherein the utilization is selected from a group consisting of a number of queries running concurrently, a percentage of maximum load, and query processing delay.

15. The system of claim 11 , wherein the resource manager further to receive an additional query for the set of queries.

16. The system of claim 15 , wherein the resource manager determines a change in the set of nodes in response to receiving the additional query.

17. The system of claim 11 , wherein the resource manager further to optimize at least one of the queries in the set of queries.

18. The system of claim 11 , wherein the virtual data warehouse is coupled to a relational database.

19. The system of claim 18 , wherein the relational database is a structured query language database.

20. The system of claim 11 , wherein the virtual data warehouse is coupled to a database system that is a multi-tenant database and isolates computing resources and data between a plurality of different customers.

21. A non-transitory computer-readable medium storing instructions which, when executed by one or more second nodes of a computing device, cause the one or more second nodes to:

receive a set of queries comprising one or more queries to be processed by a virtual data warehouse;

provision a set of nodes from a first plurality of nodes, the set of nodes to process the set of queries, wherein the set of nodes are coupled to a set of a set of storage resources shared by each of the set of nodes to store data for the set of queries;

monitor a utilization of the set of nodes as the set of nodes processes the set of queries;

update a number of the nodes in the set of nodes provisioned based on the utilization of the set of nodes as the set of nodes that are processing the set of queries, wherein updating of the set of storage resources is independent to a change in the number of nodes; and

process the set of queries using the updated set of nodes.

22. The non-transitory computer-readable medium of claim 21 , wherein the updating the number of nodes includes increasing the number of nodes in the set of nodes.

23. The non-transitory computer-readable medium of claim 21 , wherein the updating the number of nodes includes decreasing the number of nodes in the set of nodes.