Abstract: Techniques are described for estimating and managing memory compression for request processing. Embodiments of the invention may generally include receiving a request for data, determining if the requested data contains any compressed data, and sending the requesting entity only the uncompressed data. A separate embodiment generally includes receiving a request for data, determining if the requested data contains any compressed data, gathering uncompression criteria about the requested data, and using the uncompression criteria to selectively determine what portion of the compressed data to uncompress.

Abstract: Techniques for managing query execution based on memory usage using memory compression. Embodiments may receive a query from a requesting entity and estimate an amount of memory required to execute the query. Upon determining that executing the query would consume an impermissible amount of memory, embodiments may optimize the query by adjusting an amount of memory compression used in executing the query. The optimized query may then be executed to produce a set of query results, which may then be returned to the requesting entity.

Abstract: Techniques are described for estimating and managing memory compression for query processing. Embodiments of the invention may generally include receiving a query to be executed, ascertaining indicatory data about the retrieved data, and selectively compressing a portion of the data in memory according to the indicatory data. In one embodiment, the amount of compression performed during each query execution is recorded and outputted to assist in adjusting the selective compression process.

Abstract: Techniques for managing query execution using memory compression based on maximum allowable runtimes. Embodiments may receive a query from a requesting entity and calculate an estimated execution time for executing the query. Embodiments may further determine a maximum allowable runtime for the query. An amount of memory compression for use in processing the query may then be adjusted, based on the estimated execution time and the maximum allowable runtime. The query may then be executed using the adjusted memory compression rate to produce a set of query results, which may then be returned to the requesting entity.

Abstract: Techniques are described for estimating and managing memory compression for request processing. Embodiments of the invention may generally include receiving a request for data, determining if the requested data contains any compressed data, and sending the requesting entity only the uncompressed data. A separate embodiment generally includes receiving a request for data, determining if the requested data contains any compressed data, gathering uncompression criteria about the requested data, and using the uncompression criteria to selectively determine what portion of the compressed data to uncompress.

Abstract: Techniques for managing query execution using memory compression based on maximum allowable runtimes. Embodiments may receive a query from a requesting entity and calculate an estimated execution time for executing the query. Embodiments may further determine a maximum allowable runtime for the query. An amount of memory compression for use in processing the query may then be adjusted, based on the estimated execution time and the maximum allowable runtime. The query may then be executed using the adjusted memory compression rate to produce a set of query results, which may then be returned to the requesting entity.

Abstract: Techniques for managing query execution based on memory usage using memory compression. Embodiments may receive a query from a requesting entity and estimate an amount of memory required to execute the query. Upon determining that executing the query would consume an impermissible amount of memory, embodiments may optimize the query by adjusting an amount of memory compression used in executing the query. The optimized query may then be executed to produce a set of query results, which may then be returned to the requesting entity.

Abstract: Techniques are described for estimating and managing memory compression for request processing. Embodiments of the invention may generally include receiving a request for data, determining if the requested data contains any compressed data, and sending the requesting entity only the uncompressed data. A separate embodiment generally includes receiving a request for data, determining if the requested data contains any compressed data, gathering uncompression criteria about the requested data, and using the uncompression criteria to selectively determine what portion of the compressed data to uncompress.

Abstract: Techniques are described for estimating and managing memory compression for query processing. Embodiments of the invention may generally include receiving a query to be executed, ascertaining indicatory data about the retrieved data, and selectively compressing a portion of the data in memory according to the indicatory data. In one embodiment, the amount of compression performed during each query execution is recorded and outputted to assist in adjusting the selective compression process.

Abstract: In one aspect, a method is provided. The method includes (1) generating code in an integrated development environment (IDE), the code including instructions for a database; and (2) receiving feedback in the IDE, the feedback relating to the instructions for the database.