Abstract: A method for generating an updated graph based on a base graph includes identifying differences between a base graph and each of a source and a target graph. The specification of each graph defines nodes representing data processing components defining operations for processing data, and links representing flow of data. The identifying includes: comparing specifications of base and source graphs to identify a first set of differences between the base and source graph, and comparing specifications of base and target graphs to identify a second set of differences between the base and the target graph. The method includes characterizing a correspondence between the differences in the first set and the differences in the second set, determining a set of combined differences based on the correspondence and the first and second sets of differences, and generating the updated graph based on the base graph and the set of combined differences.

Abstract: A method for generating an updated graph based on a base graph includes identifying differences between a base graph and each of a source and a target graph. The specification of each graph defines nodes representing data processing components defining operations for processing data, and links representing flow of data. The identifying includes: comparing specifications of base and source graphs to identify a first set of differences between the base and source graph, and comparing specifications of base and target graphs to identify a second set of differences between the base and the target graph. The method includes characterizing a correspondence between the differences in the first set and the differences in the second set, determining a set of combined differences based on the correspondence and the first and second sets of differences, and generating the updated graph based on the base graph and the set of combined differences.

Abstract: A method for generating an updated graph based on a base graph includes identifying differences between a base graph and each of a source and a target graph. The specification of each graph defines nodes representing data processing components defining operations for processing data, and links representing flow of data. The identifying includes: comparing specifications of base and source graphs to identify a first set of differences between the base and source graph, and comparing specifications of base and target graphs to identify a second set of differences between the base and the target graph. The method includes characterizing a correspondence between the differences in the first set and the differences in the second set, determining a set of combined differences based on the correspondence and the first and second sets of differences, and generating the updated graph based on the base graph and the set of combined differences.

Abstract: A method for generating an updated graph based on a base graph includes identifying differences between a base graph and each of a source and a target graph. The specification of each graph defines nodes representing data processing components defining operations for processing data, and links representing flow of data. The identifying includes: comparing specifications of base and source graphs to identify a first set of differences between the base and source graph, and comparing specifications of base and target graphs to identify a second set of differences between the base and the target graph. The method includes characterizing a correspondence between the differences in the first set and the differences in the second set, determining a set of combined differences based on the correspondence and the first and second sets of differences, and generating the updated graph based on the base graph and the set of combined differences.

Abstract: Managing data set objects for graph-based data processing includes: storing a group of one or more data set objects in a data storage system, the data set objects each representing a respective data set; and generating an association between at least a first data set object in the group and at least a first node of a dataflow graph for processing data in a data processing system, the first node representing a source or sink of data in a flow of data represented by a link in the dataflow graph, and the first data set object including a plurality of modes in which different transformational logic is applied to data processed by the first node.

Abstract: Controlling access to computational features includes: preparing a computational resource for execution by an execution system that has been provided a primary descriptor containing an identity value and that has associated a feature indicator with the primary descriptor; accessing a secondary descriptor containing the identity value and cryptographically assigned to the computational resource; and granting the computational resource access to a computational feature of the execution system based on the feature indicator.

Abstract: Managing data set objects for graph-based data processing includes: storing a group of one or more data set objects in a data storage system, the data set objects each representing a respective data set; and generating an association between at least a first data set object in the group and at least a first node of a dataflow graph for processing data in a data processing system, the first node representing a source or sink of data in a flow of data represented by a link in the dataflow graph, and the first data set object including a plurality of modes in which different transformational logic is applied to data processed by the first node.

Abstract: Controlling access to computational features includes: preparing a computational resource for execution by an execution system that has been provided a primary descriptor containing an identity value and that has associated a feature indicator with the primary descriptor; accessing a secondary descriptor containing the identity value and cryptographically assigned to the computational resource; and granting the computational resource access to a computational feature of the execution system based on the feature indicator.

Abstract: A data processing system and method that provides two processes, checkpointing and compute point propagation, and permits a continuous flow of data processing by allowing each process to (1) return to normal operation after checkpointing or (2) respond to receipt of a compute point indicator, independently of the time required by other processes for similar responsive actions. Checkpointing makes use of a command message from a checkpoint processor that sequentially propagates through a process stage from data sources through processes to data sinks, triggering each process to checkpoint its state and then pass on a checkpointing message to connected “downstream” processes. A compute point indicator marks blocks of records that should be processed as a group within each process. A compute point indicator is triggered and sequentially propagates through a process stage from data sources through processes to data sinks without external control.

Abstract: A data processing system and method that provides two processes, checkpointing and compute point propagation, and permits a continuous flow of data processing by allowing each process to (1) return to normal operation after checkpointing or (2) respond to receipt of a compute point indicator, independently of the time required by other processes for similar responsive actions. Checkpointing makes use of a command message from a checkpoint processor that sequentially propagates through a process stage from data sources through processes to data sinks, triggering each process to checkpoint its state and then pass on a checkpointing message to connected “downstream” processes. A compute point indicator marks blocks of records that should be processed as a group within each process. A compute point indicator is triggered and sequentially propagates through a process stage from data sources through processes to data sinks without external control.