Abstract:
An exact cardinality query optimization system and method for optimizing a query having a plurality of expressions to obtain a cardinality-optimal query execution plan for the query. Embodiments of the system and method use various techniques to shorten the time necessary to obtain the cardinality-optimal query execution plan, which contains the query execution plan when all cardinalities are exact. Embodiments of the system and method include a covering queries technique that leverages query execution feedback to obtain an unordered subset of relevant expressions for the query, an early termination technique that bounds the cardinality to determine whether the processing can be terminate before each of the expressions are executed, and an expressions ordering technique that finds an ordering of expressions that yields the greatest reduction in time to obtain the cardinality-optimal query execution plan.
Abstract:
A control system and method that compensates for changes in backpressure of an engine includes a pressure sensor that senses the backpressure. A boost compensation module that communicates with the pressure sensor, determines an averaged BC factor, and adjusts a variable geometry turbo based on the averaged BC factor.
Abstract:
A method for controlling exhaust gas particulate emissions from a compression ignition internal combustion engine having a variable geometry turbocharger (VGT) includes the steps of determining backpressure across the engine and air mass flow into the engine, closing vanes of the VGT to provide air mass flow increase when backpressure is increasing, and stopping the step of closing the vanes of the VGT when a decrease in rate of change of air mass flow is determined.
Abstract:
Techniques for estimating the progress of database queries are described herein. In a first implementation, a respective lower-bound parameter is associated with each node in an operator tree that representing a given database query, and the progress of the database query at a given point is estimated based upon the lower-bound parameters. In a second implementation, the progress of the query is estimated by associating respective lower-bound and upper-bound parameters with each node in the operator tree. The progress of the query at the given point is then estimated based on the lower-bound and upper-bound parameters. The progress estimate is computed by dividing the work done so far by the sums of the above averages for each node in the tree.
Abstract:
Described is a test framework for testing transformation rules of query optimizers. Rule patterns obtained as tree structures from a query optimizer are used to generate queries that are used to test the rule optimizer's transformation rules. The test framework tracks which rules are exercised for each query, and also determines the correctness of the transformation rule by comparing the results of the query processing with the rule and without the rule (by turning off the rule). The test framework creates a composite pattern corresponding to two or more rules, such as to test rules in a set (e.g., as pairs). Also described is the efficient execution of a test suite for correctness testing, in which queries of the test suite are selected based upon cost information.
Abstract:
The present application provides for techniques for implementing data auditing embodiments that determine whether a query into a database is or has referenced forbidden data within the database. Various techniques are given for efficiently finding all tuples in a database referenced by a given query. A set of sensitive data is determined within a database and the set of sensitive data is employed to define a forbidden view within the database. Data within the database may be annotated to provide efficient identification of data access by query. Incoming queries may be analyzed and modified to propagate annotations for analyzing what data is or was accessed.
Abstract:
Methods and systems for auditing queries using query differentials are disclosed. A method includes identifying a set of queries, determining if results of each query of the set of queries are different from results of respective differentials of each query of the set of queries, and based on the determining, making a characterization of each query of the set of queries as one of safe and unsafe. Access is provided to the characterization of each query of the set of queries.
Abstract:
An exact cardinality query optimization system and method for optimizing a query having a plurality of expressions to obtain a cardinality-optimal query execution plan for the query. Embodiments of the system and method use various techniques to shorten the time necessary to obtain the cardinality-optimal query execution plan, which contains the query execution plan when all cardinalities are exact. Embodiments of the system and method include a covering queries technique that leverages query execution feedback to obtain an unordered subset of relevant expressions for the query, an early termination technique that bounds the cardinality to determine whether the processing can be terminate before each of the expressions are executed, and an expressions ordering technique that finds an ordering of expressions that yields the greatest reduction in time to obtain the cardinality-optimal query execution plan.
Abstract:
A turbocharger protection system for an engine system that includes a particulate filter and a turbocharger comprises a delta pressure estimator that estimates a pressure difference in a particulate filter. A pressure factor estimator module estimates a pressure factor based on the difference and barometric pressure. A fuel limit estimator module protects the turbocharger by selectively limiting fuel injection to the engine based on the pressure factor.
Abstract:
Fine-grained access control for querying a database with low overhead and safety plans. In a view placement approach, base relations of the query expression are replaced by views that are appropriate for the particular user. Information leakage via UDF pushing, exception processing, and error messages can be prevented by generating safe plans. An existing query optimizer can be modified to perform redundancy removal and safe plan implementation. Subsumption testing available in materialized view matching can be exploited by the query optimizer. Authorization inference is exploited to generate safe plans.