A computer implemented method of data access to data stored in one or more data stores includes receiving a request to retrieve data from the one or more data stores; extracting characteristics of the request to classify the request according to a request classification; identifying a model for execution of one or more queries to one or more data stores; executing the one or more queries according to the model to formulate a response to the request, wherein the model for execution is identified based on a class of the request and includes an identification of one or more data stores to which the one or more queries are to be directed to formulate the response; and monitoring execution of one or more queries for a class of request and revising the model in accordance with predetermined criteria.

The present disclosure is directed to persisting values in a computing environment, particularly using computer programs that run on a virtual machine. An illustrative method includes first launching a computer program, preferably within the environment of a virtual machine. The method further includes loading a plurality of classes associated with the computer program into memory by way of a special class loader. This class loader scans at least one class of classes loaded into memory for at least one persistence-annotated field within that class. The special class loader further writes byte code into a class that contains the at least one persistence-annotated field. The byte code that is added to the class causes a first object that is later instantiated from the at least one class to have the persistence-annotated field.

Techniques for serializing objects stored in system memory are disclosed. The system may receive data representing an object stored in system memory. The system may select a particular serialization process, from among a plurality of serialization processes, for serializing the received data. The particular serialization process may be selected based at least in part on the received data. The system may serialize the data representing the object in system memory using the selected serialization process. Serializing the data may yield one or more stream objects.

Techniques for deserializing stream objects are disclosed. The system may receive data representing a stream object. The data can include an object descriptor, a class descriptor, and stream field values corresponding to the stream object. The system may select a particular deserialization process, from among a plurality of deserialization processes. The selection may be based at least in part on the object descriptor and the class descriptor. The system can deserialize the data representing the stream object using the selected deserialization process, yielding one or more deserialized objects.

Multi-inheritance within a single-inheritance, container-based data processing environment is provided for facilitating developing, storing, shipping and/or running software applications. More particularly, a facility is provided which includes generating, based on a configuration file with a multi-inheritance instruction, a composited image for a new container from multiple exiting images of the single-inheritance container-based environment. The multiple existing images are identified in the multi-inheritance instruction, and the generating includes creating a composited directory file which, in part, references layers of the multiple existing images and associating a command instruction of the configuration file with the composited file. The composited image is then built in associated with starting the new container based on the composited directory file and the associated command.

A method and apparatus for data conversion in a run-time execution environment are provided. In the method and apparatus, a data request specifying a second schema for requested data is received. A data portion is retrieved from a data store, whereby the retrieved data has a first schema. On a condition that the first schema and the second schema are determined to be different, the data portion is converted to the second schema to produce a converted data portion, whereby the conversion is performed based at least in part on data conversion information. The converted data portion is then provided to the run-time execution environment for use in a run-time execution of the computer program.

A method, computer program product, and computer system for creating, with a first replication product, one or more groups of a plurality of groups that is empty in a storage array. A protection policy may be applied to the one or more groups on the first replication product, wherein the protection policy may include a replication rule. A policy profile may be created by the second replication product, wherein the replication rule may be included to the policy profile. The protection policy may be applied to a virtual machine (VM). The policy profile may be applied to the VM. The first replication product may replicate one or more virtual volumes of the VM on a remote system based upon, at least in part, the replication rule.

A method for loading objects from hash chains. A version chain of a class for a serialized object is located in an instance block of an instance chain. A class version of the serialized object is compared to a current version of the class. When the class version of the serialized object matches the current version of the class, a runtime object is loaded by deserializing the serialized object. When the class version of the serialized object does not match the current version of the class: one or more field values are extracted from the serialized object; a converter function is applied to the one or more field values to generate one or more converted field values; and a runtime object that matches the current version is loaded with the one or more converted field values.

A data-serialization system initially uses a recursive serialization algorithm to serialize a hierarchy of nested data objects by translating those objects into a serial stream of data. The system determines that a stack-overflow error is likely to occur whenever the number of objects serialized by the system exceeds a threshold value, or whenever the stack has reached an unacceptable level of utilization. When the system determines that a stack-overflow error is likely or if the system detects that a stack-overflow error will definitely occur if another object is serialized, the system either transfers control to a nonrecursive algorithm that does not require a stack data structure or reduces stack utilization by transferring contents of the stack to a variable-size queue-like data structure.

This application discloses a deserialization method. A first object shell of a first object is created in memory space of a process, where the first object shell includes a first object header and a first object body; a serialization result of the first object is obtained; the serialization result of the first object is deserialized based on the first object shell, to obtain the first object; and after the first object is used by the process, the first object shell is released, where the first object shell may be used to deserialize a subsequently received serialization result. Deserialization efficiency is improved by reusing an object shell.