Abstract: A dynamic proxy may be implemented for a database that can establish a connection between the proxy and a database engine to perform a database queries received from a client at the proxy. The proxy may receive a connection request (and later database queries) through a first network endpoint from a client. The proxy can then determine based on the source of the connection request a second network endpoint through which to access the database (e.g., the endpoint of the database engine). Once the proxy establishes a connection with the database engine through the second network endpoint, the proxy can request the performance of queries at the database engine instead of the client.

Abstract: Filtered generation of hash tables may be implemented as part of performing a hash join. A database query may be received that causes a hash join to be performed in order to join two database tables. A filtered generated from a scan of one of the tables that indicates which data in the table can satisfy a join predicate for the hash join may be applied to generate a hash table from a portion of the other table. The filtered hash table may then be used to evaluate whether portions of the tables can be joined in satisfaction of the join predicate for the hash join.

Abstract: A system for updating a database instance with a patch or new binary image. A database instance includes a database engine and a client-side storage layer driver to manage database state information and volume geometry state information associated with client process connections to a volume of a storage layer of a database system during the patching process. The database engine and the client-side storage service driver save database state information and volume geometry state information, execute the new binary image, and restore the updated database engine with the database state information and volume geometry state information. The new binary image may be executed using a fork/exec model, wherein file descriptors used to identify sockets used in existing client connections are preserved, enabling restoration of the client connections without interruption or downtime.

Abstract: A network analytics controller in a computer network receives specification of a network analysis task. The controller creates maplets. Each maplet corresponds to an agent executing on a network node in the computer network. Each maplet specifies the network data collection configuration, collected data processing, and processed data reporting to be performed to support the network analysis task at the node executing the corresponding agent. The controller communicates the maplet corresponding to the agent over the computer network to each agent. Each agent receiving a maplet configures its corresponding network node for network data collection, collected data processing, and processed data reporting in accordance with the received maplet. Each agent receiving a maplet collects and processes network data, and reports the processed data to the controller, in accordance with the configuration. The controller aggregates, as the result of the network analysis task, the data reported from each agent.

Abstract: In an embodiment, a method comprises receiving a first record comprising one or more first fields from a first source computer; in response to determining that the first record is a first type and a first node is associated with the first type, sending the first record to the first node to be processed; receiving a second record comprising the one or more first fields and one or more second fields from a second source computer; in response to determining that the second record is a second type and a second node is associated with the second type, sending the second record to the second node; in response to determining that the second type is a first subtype of the first type, sending the second record to the first node to be processed, without suspending the first node.

Abstract: In an embodiment, a method comprises receiving a first record comprising one or more first fields from a first source computer; in response to determining that the first record is a first type and a first node is associated with the first type, sending the first record to the first node to be processed; receiving a second record comprising the one or more first fields and one or more second fields from a second source computer; in response to determining that the second record is a second type and a second node is associated with the second type, sending the second record to the second node; in response to determining that the second type is a first subtype of the first type, sending the second record to the first node to be processed, without suspending the first node.

Abstract: In an embodiment, an improved computer-implemented method of efficiently determining actions to perform based on data from a streaming continuous queries in a distributed computer system comprises, at a central control computer, receiving a streaming continuous query and a rule-set; wherein the rule-set comprises decision data representing decisions based on attributes produced by the query, and action data representing end actions based on the decisions, wherein the attributes comprise data processed by one or more networked computers; separating the streaming continuous query into a sub-query executable at one or more edge computers; categorizing end actions from the set based on decisions requiring attributes available from the sub-query into a set of one or more edge expressions that are configured to be evaluated at an edge agent to cause an action; providing the set of edge expressions and the sub-query to at least one edge computer with instructions to process visible attributes on the edge computer an

Abstract: In an embodiment, a method comprises receiving a plurality of source data records from one or more source computers, wherein one or more first source data records are associated with a first source transaction and one or more second source data records are associated with a second source transaction; generating a first derived transaction comprising one or more first derived records based on the plurality of source data records; generating a first transaction mapping between the first derived transaction and the first source transaction; generating a second transaction mapping between the first derived transaction and the second source transaction; determining that the first derived transaction has ended, and in response, committing first derived transaction including the one or more first derived records to a persistent storage; receiving a first ending punctuation associated with the first source transaction, and in response, committing the first source transaction including the one or more first source dat

Abstract: A network analytics controller in a computer network receives specification of a network analysis task. The controller creates maplets. Each maplet corresponds to an agent executing on a network node in the computer network. Each maplet specifies the network data collection configuration, collected data processing, and processed data reporting to be performed to support the network analysis task at the node executing the corresponding agent. The controller communicates the maplet corresponding to the agent over the computer network to each agent. Each agent receiving a maplet configures its corresponding network node for network data collection, collected data processing, and processed data reporting in accordance with the received maplet. Each agent receiving a maplet collects and processes network data, and reports the processed data to the controller, in accordance with the configuration. The controller aggregates, as the result of the network analysis task, the data reported from each agent.

Abstract: In an embodiment, an improved computer-implemented method of efficiently determining actions to perform based on data from a streaming continuous queries in a distributed computer system comprises, at a central control computer, receiving a streaming continuous query and a rule-set; wherein the rule-set comprises decision data representing decisions based on attributes produced by the query, and action data representing end actions based on the decisions, wherein the attributes comprise data processed by one or more networked computers; separating the streaming continuous query into a sub-query executable at one or more edge computers; categorizing end actions from the set based on decisions requiring attributes available from the sub-query into a set of one or more edge expressions that are configured to be evaluated at an edge agent to cause an action; providing the set of edge expressions and the sub-query to at least one edge computer with instructions to process visible attributes on the edge computer an

Abstract: A network analytics controller is established in a network. The network includes a plurality of nodes. A plurality of network analytics agents is established; each agent at a node of the network. Network analytics configuration parameters, including a network analytics scope, are received at the networks analytics controller. A task is assigned to each agent at a node determined to be within the network analytics scope, the task comprising that portion of the network analytics specified in the network analytics configuration parameters relevant to the corresponding node. The assigned task is performed at each agent assigned a task. The networks analytics controller receives the results of each performed task, and aggregates the received results.

Abstract: In an embodiment, a method comprises receiving a plurality of source data records from one or more source computers, wherein one or more first source data records are associated with a first source transaction and one or more second source data records are associated with a second source transaction; generating a first derived transaction comprising one or more first derived records based on the plurality of source data records; generating a first transaction mapping between the first derived transaction and the first source transaction; generating a second transaction mapping between the first derived transaction and the second source transaction; determining that the first derived transaction has ended, and in response, committing first derived transaction including the one or more first derived records to a persistent storage; receiving a first ending punctuation associated with the first source transaction, and in response, committing the first source transaction including the one or more first source dat

Abstract: In an embodiment, a method comprises receiving a first record comprising one or more first fields from a first source computer; in response to determining that the first record is a first type and a first node is associated with the first type, sending the first record to the first node to be processed; receiving a second record comprising the one or more first fields and one or more second fields from a second source computer; in response to determining that the second record is a second type and a second node is associated with the second type, sending the second record to the second node; in response to determining that the second type is a first subtype of the first type, sending the second record to the first node to be processed, without suspending the first node.

Abstract: In an embodiment, a method for distributing and processing streams over wide area networks comprises receiving, at a unified data processing node, a continuous query; determining a parallel portion of the continuous query; sending the parallel portion to a plurality of distributed data processing nodes located in a plurality of data centers; at each distributed node in the plurality of distributed nodes, locally executing the parallel portion against independent data partitions, producing a partial summary data, sending the partial summary data to the unified node; continuously receiving, at the unified node, in real-time, the partial summary data.

Abstract: An example method is provided in one example embodiment and includes receiving a mobility event message for a first user equipment; determining demographic information for a first subscriber associated with the first user equipment; determining a location of the first subscriber in relation to a first network domain; identifying one or more advertising domains in relation to the location of the first subscriber based on the first network domain; determining a modeling function based on the mobility event message and the location of the first subscriber in relation to the identified advertising domains; updating, based on the modeling function, one or more demographic models for each of the identified one or more advertising domains using the demographic information for the first subscriber; and following the updating, calculating demographic information for all subscribers for each of the updated one or more demographic models for the identified advertising domains.

Abstract: In a system and method for order-independent stream query processing, one or more input streams of data are received, and the one or more input streams are analyzed to determine data which is older than an already emitted progress indicator. The data which is older than the already emitted progress indicator is partitioned into one or more partitions, and each of the one or more partitions are independently processed using out-of-order processing techniques. A query is received, rewritten and decomposed into one or more sub-queries that produce partial results for each of the one or more partitions, where each of the one or more sub-queries correspond to a partition. A view is also produced that consolidates the partial results for each partition. The partial results are consolidated at a consolidation time specified by the query to produce final results, and the final results are provided.

Abstract: A streaming database management system may provide support for creating a new continuous query operator for on-the-fly addition of a new query, e.g., a new SQL query and/or new continuous query operator, into a shared continuous query plan. Alternatively, the streaming database management system may associate the new query on-the-fly with an existing continuous query operator, such as a relational operator and expression evaluator, to reuse the existing continuous query operator. In some embodiments, multiple operators are grouped for on-the-fly addition to the shared continuous query plan. Alternatively, the streaming database management system may identify a group of multiple operators in the shared continuous query plan for reuse by the new query.

Abstract: In an embodiment, a method comprises receiving, at an analytics engine, from a separate analytics application, an analytics query for data that is potentially available in data streams of networked computing devices; sending, to a distributed network analytics controller, sub-queries based on the analytics query; determining distributed network analytics agents capable of executing each of the sub-queries; sending instructions to the agents to initiate the sub-queries for the data at specified locations; initiating execution of the sub-queries on data streams that are locally available at one of the networked computing devices at which the agents are running; forming summarized data streams and zero or more raw data streams at the networked computing devices having the analytics agents; sending the summarized data streams and the zero or more raw data streams to the analytics engine; wherein the method is performed by computing device(s).

Abstract: Systems, methods, and media are disclosed herein that can be embodied in a traditional Relational Database Management System (RDBMS) in order to transform it into a Streaming Relational Database Management System (SRDBMS). An SRDBMS may provide functionality such as to manage and populate streams, tables, and archived stream histories and support the evaluation of continuous queries on streams and tables. Both continuous and snapshot queries support the full spectrum of the industry standard, widely used, Structured Query Language. The present technology can support a high number of concurrent continuous queries using a scalable and efficient shared query evaluation scheme, support on-the-fly addition of continuous queries into a mechanism that implements the shared evaluation scheme, reuse RDBMS modules such as relational operators and expression evaluators, and visualize results of continuous queries in real time.

Abstract: Systems, methods, and media are disclosed herein that can be embodied in a traditional Relational Database Management System (RDBMS) in order to transform it into a Streaming Relational Database Management System (SRDBMS). An SRDBMS may provide functionality such as to manage and populate streams, tables, and archived stream histories and support the evaluation of continuous queries on streams and tables. Both continuous and snapshot queries support the full spectrum of the industry standard, widely used, Structured Query Language. The present technology can support a high number of concurrent continuous queries using a scalable and efficient shared query evaluation scheme, support on-the-fly addition of continuous queries into a mechanism that implements the shared evaluation scheme, reuse RDBMS modules such as relational operators and expression evaluators, and visualize results of continuous queries in real time.