Abstract: Techniques and structures to prevent exhaustion of a database connection pool, including retrieving data from the database connection pool, monitoring the data to determine whether the connection pool is at risk of an exhaustion condition, analyzing the data to determine whether one or more clients accessing the database connection pool are offenders upon determining that the connection pool is at risk and throttling access to the one or more clients accessing the database connection pool upon determining the one or more clients to be offenders.

Abstract: Techniques and structures to prevent exhaustion of a database connection pool, including retrieving data from the database connection pool, monitoring the data to determine whether the connection pool is at risk of an exhaustion condition, analyzing the data to determine whether one or more clients accessing the database connection pool are offenders upon determining that the connection pool is at risk and throttling access to the one or more clients accessing the database connection pool upon determining the one or more clients to be offenders.

Abstract: Techniques and structures to prevent exhaustion of a database connection pool, including retrieving data from the database connection pool, monitoring the data to determine whether the connection pool is at risk of an exhaustion condition, analyzing the data to determine whether one or more clients accessing the database connection pool are offenders upon determining that the connection pool is at risk and throttling access to the one or more clients accessing the database connection pool upon determining the one or more clients to be offenders.

Abstract: Techniques and structures to prevent exhaustion of a database connection pool, including retrieving data from the database connection pool, monitoring the data to determine whether the connection pool is at risk of an exhaustion condition, analyzing the data to determine whether one or more clients accessing the database connection pool are offenders upon determining that the connection pool is at risk and throttling access to the one or more clients accessing the database connection pool upon determining the one or more clients to be offenders.

Abstract: Systems and methods that translate queries defined by an entity model, to a dialect recognizable by storage provider (e.g., relational store). A bridge component facilitates translation of a rich object structure into flat relational constructs, which can then be executed by a relational store. Accordingly, queries defined by applications in terms of entity concepts can readily be employed in conjunction with relational data stores. Similarly, results obtained from executing the query can be converted back to a form understandable by the application.

Abstract: Systems and methods that translate queries defined by an entity model, to a dialect recognizable by storage provider (e.g., relational store). A bridge component facilitates translation of a rich object structure into flat relational constructs, which can then be executed by a relational store. Accordingly, queries defined by applications in terms of entity concepts can readily be employed in conjunction with relational data stores. Similarly, results obtained from executing the query can be converted back to a form understandable by the application.

Abstract: Systems and methods that provide for a canonical representation in a structured form of a query, against a data model platform. A parser component can parse the SQL query to generate the abstract class that represent the query (command tree). Moreover, a view generation component can supply a mapping between a rich structure (e.g., on the client side) and the relational side. Accordingly, a query can be represented by an abstract class in form of a tree structure with nodes, which has metadata tied therewith.