摘要:
Optimizing window joins over data streams can include receiving an input topology and calculating costs of computing a join of data streams based on a number of model topologies, and determining an optimal topology based on the calculated costs and the input topology, wherein the input topology, the model topologies, and the optimal topology each include a number of interconnected operators.
摘要:
Example embodiments relate to parallelizing structured query language (SQL) on distributed file systems. In example embodiments, a subquery of a distributed file system is received from a query engine, where the subquery is one of multiple subqueries that are scheduled to execute on a cluster of server nodes. At this stage, a user defined function that comprises local, role-based functionality is executed, where the partitioned magic table triggers parallel execution of the user defined function. The execution of the UDF determines a sequence number based on a quantity of the cluster of server nodes and retrieve nonconsecutive chunks from a file of the distributed file system, where each of the nonconsecutive chunks is offset by the sequence number.
摘要:
Example embodiments relate to parallelizing structured query language (SQL) on distributed file systems. In example embodiments, a subquery of a distributed file system is received from a query engine, where the subquery is one of multiple subqueries that are scheduled to execute on a cluster of server nodes. At this stage, a user defined function that comprises local, role-based functionality is executed, where the partitioned magic table triggers parallel execution of the user defined function. The execution of the UDF determines a sequence number based on a quantity of the cluster of server nodes and retrieve nonconsecutive chunks from a file of the distributed file system, where each of the nonconsecutive chunks is offset by the sequence number.
摘要:
In one implementation, a system for processing a data stream can comprise a station engine, an execution engine, and a synchronize engine. A station engine can provide a stream operator to receive application logic, punctuate the data stream, and determine a number of input channels for parallel processing. The execution engine can perform a behavior of the application logic during a process operation. The synchronize engine can hold data of the data stream associated with a window until each input channel has reached a data boundary based on a boundary parameter.
摘要:
Example embodiments relate to parallelizing structured query language (SQL) user defined transformation functions. In example embodiments, a subquery of a query is received from a query engine, where each of the subqueries is associated with a distinct magic number in a magic table. A user defined transformation function that includes local, role-based functionality may then be executed, where the magic number triggers parallel execution of the user defined transformation function. At this stage, the results of the user defined transformation function are sent to the query engine, where the query engine unions the results with other results that are obtained from the other database nodes.
摘要:
A system includes a distributed file system to control storage of data across storage nodes and a database query engine to receive a database query for access of data, the database query engine to process the database query using an index, and using a buffer pool to cache data retrieved in response to the database query and to store updated data. An abstraction layer is provided between the database query engine and the distributed file system, the abstraction layer to read and write data of the distributed file system in response to the database query.