Abstract: Techniques for query execution against relational databases using connection pooling are described. According to some embodiments, a query processing service is disclosed that enables users to execute queries against target relational databases implemented by a relational database service. The service receives query requests originated by a client application at a web service endpoint and identifies a connection to a particular target database. In some examples, the query request is a Hyper Text Transfer Protocol (HTTP) message comprising a query to be executed by a target database instance within the provider network. The service transmits the query for execution at the target database via the connection and obtains a query result based on the execution of the query. The service transforms the query result into a format suitable for the client and transmits a query response to the client.

Abstract: An apparatus, system, and method are disclosed for managing storage space allocation. The apparatus includes a recognizing module, a reserving module, and a managing module. The recognizing module recognizes a trigger event at a client of the data storage system. The reserving module reserves logical units of space for data storage. The management module manages the logical units of space at the client. Such an arrangement provides for distributed management of storage space allocation within a storage area network (SAN). Facilitating client management of the logical units of space in this manner may reduce the number of required metadata transactions between the client and a metadata server and may increase performance of the SAN file system. Reducing metadata transactions effectively lowers network overhead, while increasing data throughput.

Abstract: Systems for updating an access control list (ACL) associated with one or more resources in a data processing system are provided. The system provides a table including a list of one or more first ACLs that map to a corresponding one or more previously computed second ACLs. The system also updates a current ACL associated with a first resource of the one or more resources in the data processing system including determining whether one of the one or more first ACLs in the table matches the current ACL associated with the first resource. If one of the one or more first ACLs in the table matches the current ACL associated with the first resource then updating the current ACL associated with the first resource by associating the corresponding second ACL with the first resource.

Abstract: Methods, computer programs, and systems for updating an access control list (ACL) associated with one or more resources in a data processing system are provided. The method includes providing a table including a list of one or more first ACLs that map to a corresponding one or more previously computed second ACLs; and updating a current ACL associated with a first resource of the one or more resources in the data processing system including determining whether one of the one or more first ACLs in the table matches the current ACL associated with the first resource. If one of the one or more first ACLs in the table matches the current ACL associated with the first resource then updating the current ACL associated with the first resource by associating the corresponding second ACL with the first resource.

Abstract: An apparatus, system, and method are disclosed for managing storage space allocation. The apparatus includes a recognizing module, a reserving module, and a managing module. The recognizing module recognizes a trigger event at a client of the data storage system. The reserving module reserves logical units of space for data storage. The management module manages the logical units of space at the client. Such an arrangement provides for distributed management of storage space allocation within a storage area network (SAN). Facilitating client management of the logical units of space in this manner may reduce the number of required metadata transactions between the client and a metadata server and may increase performance of the SAN file system. Reducing metadata transactions effectively lowers network overhead, while increasing data throughput.