Embodiments relate generally to computer data systems, and more particularly, to methods, systems and computer readable media for persistent query connection architecture.
Some graphical user interfaces may provide a display of information from a database query result. However, in the case of data that is changing over time and would cause a change in a query result over time, a typical static query result display may not provide an up-to-date visualization of the changed data. A need may exist to provide a dynamically updating display of a query result that is changing over time. Also, a need may exist to provide an access control mechanism for allowing a user to create dynamically updating, long running, repeated, and/or automatically started queries, share access to queries with other users, share query results between queries, provide real-time data to a GUI/console, provide real-time data to a query distributed across multiple jobs, enforce access controls based on user roles, and/or provide remote debugging of a running query.
Embodiments were conceived in light of the above mentioned needs, problems and/or limitations, among other things.
Some implementations can include a computer data system having a persistent query dispatch and execution architecture, the system can comprise one or more processors and computer readable storage coupled to the one or more processors, the computer readable storage having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations can include sending an electronic request for a remote query processor from the persistent query controller to a remote query dispatcher executing on a query server computer. The request can include parameters for configuring the remote query processor and an operating environment for the remote query processor. The operations can also include attempting, at the remote query dispatcher, to allocate an isolated operating environment for the remote query processor and to start execution of the remote query processor on the query server computer.
When the remote query processor is started, operations can be performed that include: providing the persistent query controller with an address assignment of the remote query processor or of a proxy machine in communication with the remote query processor, the address assignment identifying a specific address of the query server computer or of the proxy machine available to connect electronically over an electronic communications network; automatically connecting from the persistent query controller to the remote query processor via the electronic communications network; transmitting a persistent database query electronically from the persistent query controller to the remote query processor; publishing persistent database query configuration information including a state of the persistent database query and the address assignment of the remote query processor; and/or connecting from a client to the remote query processor via the electronic communications network.
The operations can further include, when the connection by the client is allowed, receiving at the client at least a portion of a current result of the persistent database query from the remote query processor.
The operations can further include, when the connection by the client is allowed, filtering, based on the access control information, a current result of the persistent database query requested by the client from the remote query processor, and sending at least a portion of the filtered current result of the persistent database query to the client.
The operations can further include determining whether to allow the connection by the client to the remote query processor based on access control information associated with the persistent database query, and, when the connection by the client is allowed, sending a request to perform an administrative operation with respect to the persistent database query from the client to the persistent query controller, and determining whether the client is authorized to perform the administrative operation based on the access control information.
The operations can further include sending, from a second client different than the client, an instruction to the persistent query controller to start, stop, restart, modify parameters, or modify code of the persistent database query.
The operations can further include, when the connection by the client is allowed, receiving a result of the persistent database query at the client, displaying at least a portion of the result at the client via a graphical user interface and/or a console, receiving at least a portion of an updated result of the persistent database query from the remote query processor; and responsive to the receiving the at least a portion of the updated result, updating the graphical user interface and/or console to display the at least a portion of the updated result.
The operations can further include, determining whether the remote query processor rejects the request for a remote query processor from the persistent query controller. When the remote query dispatcher rejects the request, the operations can include publishing an indication of the rejection. The operations can further include detecting, by the remote query processor or remote query dispatcher, an error in the execution of the persistent database query and, when the remote query processor or remote query dispatcher detects an error in the execution of the persistent database query, publishing an indication of the error.
The operations can further include, when the connection by the client is allowed, transmitting an additional query task electronically from the client to the remote query processor, executing, at the remote query processor, the additional query task, and receiving at least a portion of a result of the additional query task at the client.
The operations can further include periodically providing a liveness indication from the persistent query controller to the remote query dispatcher, and when the liveness indication is not received after a limited amount of time, stopping the remote query processor.
Some implementations can include a method for improving performance of a computer data system through control of a persistent query dispatch and execution architecture. The method can include sending an electronic request for a remote query processor from the persistent query controller to a remote query dispatcher executing on a query server computer. The request can include parameters for configuring the remote query processor and an operating environment for the remote query processor. The method can also include automatically attempting, at the remote query dispatcher, to allocate an isolated operating environment for the remote query processor and to prepare the remote query processor on the query server computer.
When the remote query processor is prepared, the method can include performing operations. The operations can include providing the persistent query controller with an address assignment of the remote query processor or of a proxy machine in communication with the remote query processor, the address assignment identifying a specific address of the query server computer or of the proxy machine available to connect electronically over an electronic communications network. The operations can also include automatically connecting from the persistent query controller to the remote query processor via the electronic communications network. The operations can further include transmitting a persistent database query electronically from the persistent query controller to the remote query processor. The operations can also include publishing persistent database query configuration information including a state of the persistent database query and the address assignment of the remote query processor. The operations can further include connecting from a client to the remote query processor via the electronic communications network.
The method can further include, when the connection by the client is allowed, receiving at the client at least a portion of a current result of the persistent database query from the remote query processor.
The method can further include, when the connection by the client is allowed, filtering, based on the access control information, a current result of the persistent database query requested by the client from the remote query processor, and sending at least a portion of the filtered current result of the persistent database query to the client.
The method can further include determining whether to allow the connection by the client to the remote query processor based on access control information associated with the persistent database query. The method can further include, when the connection by the client is allowed, sending a request to perform an administrative operation with respect to the persistent database query from the client to the persistent query controller, and determining whether the client is authorized to perform the administrative operation based on the access control information.
The method can further include, sending, from a second client different than the client, an instruction to the persistent query controller to start, stop, or restart the persistent database query.
The method can further include, when the connection by the client is allowed, receiving a result of the persistent database query at the client. The method can also include displaying at least a portion of the result at the client via a graphical user interface and/or a console. The method can further include receiving at least a portion of an updated result of the persistent database query from the remote query processor. The method can further include, responsive to the receiving the at least a portion of the updated result, updating the graphical user interface and/or console to display the at least a portion of the updated result.
The method can include determining whether the remote query processor rejects the request for a remote query processor from the persistent query controller. When the remote query dispatcher rejects the request, the method can include publishing an indication of the rejection. The method can include detecting, by the remote query processor or remote query dispatcher, an error in the execution of the persistent database query, and, when the remote query processor or remote query dispatcher detects an error in the execution of the persistent database query, the method can further include publishing an indication of the error.
The method can further include, when the connection by the client is allowed, transmitting an additional query task electronically from the client to the remote query processor, executing, at the remote query processor, the additional query task, and optionally receiving at least a portion of a result of the additional query task at the client.
The method can include periodically providing a liveness indication from the persistent query controller to the remote query dispatcher, and when the liveness indication is not received after a limited amount of time, stopping the remote query processor.
Some implementations can include a nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the processors to perform operations. The operations can include sending an electronic request for a remote query processor from the persistent query controller to a remote query dispatcher executing on a query server computer, wherein the request includes parameters for configuring the remote query processor and an operating environment for the remote query processor. The operations can also include automatically attempting, at the remote query dispatcher, to allocate an isolated operating environment for the remote query processor and to run of the remote query processor on the query server computer.
When the remote query processor is running, the operations can include performing additional operations. The additional operations can include providing the persistent query controller with an address assignment of the remote query processor or of a proxy machine in communication with the remote query processor, the address assignment identifying a specific address of the query server computer or of the proxy machine available to connect electronically over an electronic communications network. The additional operations can also include automatically connecting from the persistent query controller to the remote query processor via the electronic communications network. The additional operations can further include transmitting a persistent database query electronically from the persistent query controller to the remote query processor. The additional operations can also include publishing persistent database query configuration information including a state of the persistent database query and the address assignment of the remote query processor. The additional operations can further include connecting from a client to the remote query processor via the electronic communications network.
In any of the above-mentioned implementations, the client can be another remote query processor.
Reference may be made herein to the Java programming language, Java classes, Java bytecode and the Java Virtual Machine (JVM) for purposes of illustrating example implementations. It will be appreciated that implementations can include other programming languages (e.g., groovy, Scala, R, Go, etc.), other programming language structures as an alternative to or in addition to Java classes (e.g., other language classes, objects, data structures, program units, code portions, script portions, etc.), other types of bytecode, object code and/or executable code, and/or other virtual machines or hardware implemented machines configured to execute a data system query.
The application host 102 can include one or more application processes 112, one or more log files 114 (e.g., sequential, row-oriented log files), one or more data log tailers 116 and a multicast key-value publisher 118. The periodic data import host 104 can include a local table data server, direct or remote connection to a periodic table data store 122 (e.g., a column-oriented table data store) and a data import server 120. The query server host 106 can include a multicast key-value subscriber 126, a performance table logger 128, local table data store 130 and one or more remote query processors (132, 134) each accessing one or more respective tables (136, 138). The long-term file server 108 can include a long-term data store 140. The user data import host 110 can include a remote user table server 142 and a user table data store 144. Row-oriented log files and column-oriented table data stores are discussed herein for illustration purposes and are not intended to be limiting. It will be appreciated that log files and/or data stores may be configured in other ways. In general, any data stores discussed herein could be configured in a manner suitable for a contemplated implementation.
In operation, the input data application process 112 can be configured to receive input data from a source (e.g., a securities trading data source), apply schema-specified, generated code to format the logged data as it's being prepared for output to the log file 114 and store the received data in the sequential, row-oriented log file 114 via an optional data logging process. In some implementations, the data logging process can include a daemon, or background process task, that is configured to log raw input data received from the application process 112 to the sequential, row-oriented log files on disk and/or a shared memory queue (e.g., for sending data to the multicast publisher 118). Logging raw input data to log files can additionally serve to provide a backup copy of data that can be used in the event that downstream processing of the input data is halted or interrupted or otherwise becomes unreliable.
A data log tailer 116 can be configured to access the sequential, row-oriented log file(s) 114 to retrieve input data logged by the data logging process. In some implementations, the data log tailer 116 can be configured to perform strict byte reading and transmission (e.g., to the data import server 120). The data import server 120 can be configured to store the input data into one or more corresponding data stores such as the periodic table data store 122 in a column-oriented configuration. The periodic table data store 122 can be used to store data that is being received within a time period (e.g., a minute, an hour, a day, etc.) and which may be later processed and stored in a data store of the long-term file server 108. For example, the periodic table data store 122 can include a plurality of data servers configured to store periodic securities trading data according to one or more characteristics of the data (e.g., a data value such as security symbol, the data source such as a given trading exchange, etc.).
The data import server 120 can be configured to receive and store data into the periodic table data store 122 in such a way as to provide a consistent data presentation to other parts of the system. Providing/ensuring consistent data in this context can include, for example, recording logged data to a disk or memory, ensuring rows presented externally are available for consistent reading (e.g., to help ensure that if the system has part of a record, the system has all of the record without any errors), and preserving the order of records from a given data source. If data is presented to clients, such as a remote query processor (132, 134), then the data may be persisted in some fashion (e.g., written to disk).
The local table data server 124 can be configured to retrieve data stored in the periodic table data store 122 and provide the retrieved data to one or more remote query processors (132, 134) via an optional proxy.
The remote user table server (RUTS) 142 can include a centralized consistent data writer, as well as a data server that provides processors with consistent access to the data that it is responsible for managing. For example, users can provide input to the system by writing table data that is then consumed by query processors.
The remote query processors (132, 134) can use data from the data import server 120, local table data server 124 and/or from the long-term file server 108 to perform queries. The remote query processors (132, 134) can also receive data from the multicast key-value subscriber 126, which receives data from the multicast key-value publisher 118 in the application host 102. The performance table logger 128 can log performance information about each remote query processor and its respective queries into a local table data store 130. Further, the remote query processors can also read data from the RUTS, from local table data written by the performance logger, or from user table data read over NFS, for example.
It will be appreciated that the configuration shown in
The production client host 202 can include a batch query application 212 (e.g., a query that is executed from a command line interface or the like) and a real time query data consumer process 214 (e.g., an application that connects to and listens to tables created from the execution of a separate query). The batch query application 212 and the real time query data consumer 214 can connect to a remote query dispatcher 222 and one or more remote query processors (224, 226) within the query server host 1208.
The controller host 204 can include a persistent query controller 216 configured to connect to a remote query dispatcher 232 and one or more remote query processors 228-230. In some implementations, the persistent query controller 216 can serve as the “primary client” for persistent queries and can request remote query processors from dispatchers, and send instructions to start persistent queries. For example, a user can submit a query to 216, and 216 starts and runs the query every day. In another example, a securities trading strategy could be a persistent query. The persistent query controller can start the trading strategy query every morning before the market opened, for instance. It will be appreciated that 216 can work on times other than days. In some implementations, the controller may require its own clients to request that queries be started, stopped, etc. This can be done manually, or by scheduled (e.g., cron jobs). Some implementations can include “advanced scheduling” (e.g., auto-start/stop/restart, time-based repeat, etc.) within the controller.
The GUI/host workstation can include a user console 218 and a user query application 220. The user console 218 can be configured to connect to the persistent query controller 216. The user query application 220 can be configured to connect to one or more remote query dispatchers (e.g., 232) and one or more remote query processors (228, 230).
In operation, the processor 302 may execute the application 310 stored in the memory 306. The application 310 can include software instructions that, when executed by the processor, cause the processor to perform operations for persistent query dispatch/execution in accordance with the present disclosure (e.g., performing one or more of 502-512, or one or more of 602-610 described below). The application program 310 can operate in conjunction with the data section 312 and the operating system 304.
In some embodiments, application program 310 includes a graphical user interface (GUI) that includes a console (e.g., console 218) and/or a user query application (e.g., 220). The GUI can include a configuration panel that provides information on jobs running on a query server host (e.g., 106 and/or 210, as shown in
In some embodiments, the GUI includes elements that allow users to add a new job and configure it with the appropriate parameters. For example, right clicking on a query can allow a user to edit the parameters for the query (e.g. change RAM usage). The editable parameters can include: memory usage (e.g., RAM usage), virtual machine parameters (e.g., Java Virtual Machine (JVM) parameters), operating system parameters (e.g. shell variables), code executed, access control parameters (e.g., access control 404), configuration type (e.g. script, trading strategy, or replay), query server (or load balancer) (e.g., query host 210 or 408), classpath, enabled, script location or actual script code, script language, start time, and/or stop time. In some embodiments, the GUI elements include start/stop/restart/edit/view, etc. admin actions.
In some embodiments, users have permission levels and resource allocations. Based on the user permissions and resources, the user can create a query. The user “owns” their query (i.e., the user is set as the owner of the query) and can set access control information (e.g., access control 404 as shown in
In operation, secondary client 418 transmits data to and receives data from PQC 410 to, for example, transmit an instruction to PQC 410 to start a persistent query (e.g., as shown in
Once connected to RQP 422, secondary client 418 can, based on the access control set for the query, perform various operations. For example, secondary client 418 can connect a GUI/console to the persistent query, and displaying the data involves a query task which returns the table to display. Optional access control filters are applied to the tables before they are returned to the user. If the GUI user wants to filter the dataset or otherwise massage it (e.g. Sym=‘AAPL’, sort the data, etc.), the GUI can submit a query task to RQP 422 for only the desired data (i.e., a filter query task). The GUI can submit various query tasks to, for example, control how results of a persistent query are provided by RQP 422 (e.g., filter query tasks, sort tasks to sort the dataset, etc.) and/or select only a portion of the results (i.e., a subset including at least what is being displayed and/or what is used to generate what is being displayed by the GUI).
In another example, secondary client 418 can be a debugger GUI/console that connects to RQP 422 to debug running processes and execute on the remote process. In such embodiments, secondary client 418 can connect to RQP 422 as a debugger GUI/console to fetch variables/parameters of RQP 422 and execute queries or other commends (e.g., can execute on the RQP 422 from the console (i.e., command line) of the secondary client 418.
In another example, secondary client 418 can be a query task configured to retrieve consistent snapshots of an entire table, e.g., to save the current view to a CSV file.
In yet another example, secondary client 418 can be another RQP that connects to RQP 422 in order to retrieve a preemptive table, which allows query results to be shared among remote query processors. In such an example, a remote query processor with super-user privileges could provide an aggregated position table to one or more other remote query processors that may not have permission to access the source data required to generate the aggregated position table.
Access control information 404 is provided to RQP 422 by RQC 410 (e.g., on startup and optionally updated after startup) which indicates access control groups/roles for the persistent query (as discussed above) and RQP 422 then restricts access based on access control 404.
In some embodiments, PQC 410 acts as primary client 416 for persistent queries.
In some embodiments, if PQC 410 or primary client 416 goes down; then the query is stopped. In some such embodiments, a heartbeat is used to check whether PQC 410 or primary client 416 has gone down. The query definition remains in place in the stored persistent query configuration information (e.g., stored in the persisted map); and when PQC 410 or primary client 416 is restarted, the query can also be restarted. Any displayed results are recomputed on reinitialization (in general, it is possible to write things out and reload them; but that is not the common scheme).
Secondary client 418 can request a connection to a running RQP (e.g., RQP 422) (it is secondary because it is requesting and not starting). If the secondary client has sufficient permissions, it will be allowed to connect to the RQP, where it can see and interact with the state from the primary query. In some embodiments, secondary client 418 is a graphical user interface (GUI) for di splaying output for the persistent query. The GUI connects to the existing RQP executing the persistent query (i.e., RQP 422 is concurrently used for connections by the primary client and secondary clients of that persistent query).
In some embodiments, the persistent query configuration information stored by PQC 410 includes a state of each persistent query (e.g. running, stopped, exception, etc.). In some embodiments, PQC 410 monitors the state each persistent query to prevent accidental duplicates if, for example, multiple requests to start the same persistent query are received.
In some embodiments, PQC 410 publishes persistent query configuration information and secondary connection 418 can receive the persistent query configuration information and automatically reconnect when a persistent query is restarted. In some such embodiments, when a persistent query is restarted; a brand new RQP is created. PQC 410 publishes information about the state of persistent queries in addition to publishing the contents of the stored (e.g., persistent) map. Clients (e.g., secondary client 418) receive the notifications, and if they have any display (e.g., GUI) that corresponds to the persistent query configuration that changed, the displayed results are updated (e.g., with a message saying the query is down or with the new contents of the table/widget via a connection to the new RQP that was created when the persistent query was restarted).
It will be appreciated that hosts 402, 406, and 408 can be the same or different (actual or virtual) servers. For example, in some embodiments, host 402 and host 408 can be executed on the same server, such as, for example, query server host 106 as shown in
Although not show, some embodiments include more than one remote query dispatcher 420 executing on the same or different hosts (actual or virtual hosts), and a load balancer (e.g., one or more load balancers and/or a distributed load balancer). The load balancer could be implemented as a sub-module within each remote query dispatcher of the multiple dispatchers. This configuration could support a distributed system with each remote query dispatcher participating in a distributed state exchange and a single “leader” remote query dispatcher making scheduling decisions for all participating remote query dispatchers. The load balancer could also include a distributed 100% uptime load balancer. It will be appreciated that if a load balancer is included in an implementation, clients (primary client 416) may connect to the remote query dispatchers through the load balancer. When a load balancer is not included or is integrated within each remote query dispatcher, the clients (primary client 416) may connect directly to respective remote query dispatchers.
Although not show, some embodiments include more than one persistent query controller 410 executing on the same or different hosts (actual or virtual hosts), and a load balancer (e.g., one or more load balancers and/or a distributed load balancer). The load balancer could be implemented for the persistent query controllers in configurations similar to those discussed above with respect to the load balancer for the multiple remote query dispatchers.
It will be appreciated that the persistent query dispatch/execution architecture 400 is a simplified configuration for purposes of illustrating the principles of the disclosed subject matter. An actual implementation may include one or more clients, zero or more load balancers, one or more persistent query controllers, one or more remote query dispatchers and zero or more remote query processors associated with each remote query dispatcher.
At 504, the PQC sends a request for a remote query processor (RQP) (e.g., RQP 422) to a remote query dispatcher (RQD) (e.g., RQD 420). The PQC can start a primary client (e.g. 416) for communicating with the RQD/RQP. The request can be sent to the RQD via an optional load balancer (as described above). In some embodiments, the PQC can use one primary client for connecting to multiple RQPs. Processing continues to 506.
At 506, it is determined whether the RQP request was granted. If it was granted, then processing continues to 508; otherwise processing continues to 512.
At 508, the PQC sends RQP access control information that can include admin/viewer groups (e.g., admin groups 412 and viewer groups 414 of access control 404) and/or other access control roles (e.g., superuser, supervisor, etc., as discussed above). Processing continues to 510.
At 510, the PQC publishes RQP configuration information and state of RQP, The state information can include: the current life cycle of the query (authenticating, initializing, running, stopped, error after initialize, failed to initialize); what RQP host/port was assigned; and also the sufficient data to display the query configuration panel in the GUI client (e.g., table names, widget names, and possibly the groups allowed to access each table/widget). Other summary information can be published to augment the query configuration panel and prevent the need to connect to individual RQP simply to display the configuration panel.
At 512, the PQC publishes query failure information. The query failure information can include an indication that the query failed. In addition, the query failure information can include error messages, exception messages, and/or other data (e.g., stack traces, variables, etc.) which may enable debugging the underlying problem. For example, the RQP and/or RQD can be configured to detect errors (e.g., catch exceptions) related to the execution of the persistent query and publish such errors.
It will also be appreciated that 502-512 may be repeated in whole or in part to, for example, automatically retry starting the query if the RQP request is not granted.
At 604, the secondary client receives persistent query configuration(s) from the PQC. The secondary client can receive configurations for those requested at 602, and/or available configurations published by the PQC. In some embodiments, the PQC sends/publishes valid configurations that the secondary client has access to. A persistent query configuration for a persistent query of the PQC can include: unique serial ID, name, remote query processor (RQP) ID, host and port information.
In some embodiments, 602 is omitted and the secondary client receives persistent query configuration(s) without requesting the configuration(s) from the PQC at 602 (e.g., by receiving configuration(s) published by the PQC, by manual user input, or by some other method), and
In some embodiments in which the secondary client is a GUI, the name can be used display purposes and the unique serial ID can be used to retrieve information about the query and stored in a user's workspace for saving the appropriate views across runs of the client code. For example, persistent queries can run each day, and GUI users may want to view the same results each day with particular filtering and sort combinations applied, in a specific layout. To enable users to save the layout, a serial ID can be associated with each query, and when a user saves their workspace: for each view, the serial ID of the query and the name of the table/widget that the view contains is recorded. The name/owner of the query can then be changed for administrative reasons without disconnecting it from the user's workspaces. Processing continues to 606.
At 606, the secondary client requests connection to a RQP. Processing continues to 608.
At 608, the RQP checks the access control groups/roles for secondary client. The access control groups can be set in access control information (e.g., access control 404) and can include access control groups/roles including admin, viewer and other groups/roles (as discussed above). The RQP can check the access control groups for the presence of the user authenticated on the secondary client. Additionally or alternatively, the RQP can check the network address and/or other identifier of the secondary client (e.g., IP address, digital certificate or other encryption credentials, etc.) against those set in the access control groups/roles. If secondary client is in an access control group/role, processing continues to 610. Otherwise, processing continues to 612, where the RQP rejects the connection from the secondary client.
At 610, when the secondary client is in an access control group/role, the RQP grants the connection. The RQP can grant the connection when the user of the secondary client is in one of the access control groups/roles.
It will be appreciated that 602-610 may be repeated in whole or in part. For example, 606-610 may be repeated to connect to multiple RQPs. In another example, 602-610 and/or 604-610 may be repeated to connect to RQPs as new persistent query configuration(s) become available (e.g., are requested by the secondary client and/or published by the PQC).
It will be appreciated that the modules, processes, systems, and sections described above can be implemented in hardware, hardware programmed by software, software instructions stored on a nontransitory computer readable medium or a combination of the above. A system as described above, for example, can include a processor configured to execute a sequence of programmed instructions stored on a nontransitory computer readable medium. For example, the processor can include, but not be limited to, a personal computer or workstation or other such computing system that includes a processor, microprocessor, microcontroller device, or is comprised of control logic including integrated circuits such as, for example, an Application Specific Integrated Circuit (ASIC), a field programmable gate array (FPGA), a graphics processing unit (e.g., GPGPU or GPU) or the like. The instructions can be compiled from source code instructions provided in accordance with a programming language such as Java, C, C++, C#.net, assembly or the like. The instructions can also comprise code and data objects provided in accordance with, for example, the Visual Basic™ language, a specialized database query language, or another structured or object-oriented programming language. The sequence of programmed instructions, or programmable logic device configuration software, and data associated therewith can be stored in a nontransitory computer-readable medium such as a computer memory or storage device which may be any suitable memory apparatus, such as, but not limited to ROM, PROM, EEPROM, RAM, flash memory, disk drive and the like.
Furthermore, the modules, processes systems, and sections can be implemented as a single processor or as a distributed processor. Further, it should be appreciated that the steps mentioned above may be performed on a single or distributed processor (single and/or multi-core, or cloud computing system). Also, the processes, system components, modules, and sub-modules described in the various figures of and for embodiments above may be distributed across multiple computers or systems or may be co-located in a single processor or system. Example structural embodiment alternatives suitable for implementing the modules, sections, systems, means, or processes described herein are provided below.
The modules, processors or systems described above can be implemented as a programmed general purpose computer, an electronic device programmed with microcode, a hard-wired analog logic circuit, software stored on a computer-readable medium or signal, an optical computing device, a networked system of electronic and/or optical devices, a special purpose computing device, an integrated circuit device, a semiconductor chip, and/or a software module or object stored on a computer-readable medium or signal, for example.
Embodiments of the method and system (or their sub-components or modules), may be implemented on a general-purpose computer, a special-purpose computer, a programmed microprocessor or microcontroller and peripheral integrated circuit element, an ASIC or other integrated circuit, a digital signal processor, a hardwired electronic or logic circuit such as a discrete element circuit, a programmed logic circuit such as a PLD, PLA, FPGA, PAL, GP, GPU, or the like. In general, any processor capable of implementing the functions or steps described herein can be used to implement embodiments of the method, system, or a computer program product (software program stored on a nontransitory computer readable medium).
Furthermore, embodiments of the disclosed method, system, and computer program product (or software instructions stored on a nontransitory computer readable medium) may be readily implemented, fully or partially, in software using, for example, object or object-oriented software development environments that provide portable source code that can be used on a variety of computer platforms. Alternatively, embodiments of the disclosed method, system, and computer program product can be implemented partially or fully in hardware using, for example, standard logic circuits or a VLSI design. Other hardware or software can be used to implement embodiments depending on the speed and/or efficiency requirements of the systems, the particular function, and/or particular software or hardware system, microprocessor, or microcomputer being utilized. Embodiments of the method, system, and computer program product can be implemented in hardware and/or software using any known or later developed systems or structures, devices and/or software by those of ordinary skill in the applicable art from the function description provided herein and with a general basic knowledge of the software engineering and computer networking arts.
Moreover, embodiments of the disclosed method, system, and computer readable media (or computer program product) can be implemented in software executed on a programmed general purpose computer, a special purpose computer, a microprocessor, or the like.
It is, therefore, apparent that there is provided, in accordance with the various embodiments disclosed herein, methods, systems and computer readable media for persistent query dispatch and execution architecture.
application Ser. No. 15/154,974, entitled “DATA PARTITIONING AND ORDERING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,975, entitled “COMPUTER DATA SYSTEM DATA SOURCE REFRESHING USING AN UPDATE PROPAGATION GRAPH” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,979, entitled “COMPUTER DATA SYSTEM POSITION-INDEX MAPPING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,980, entitled “SYSTEM PERFORMANCE LOGGING OF COMPLEX REMOTE QUERY PROCESSOR QUERY OPERATIONS” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,983, entitled “DISTRIBUTED AND OPTIMIZED GARBAGE COLLECTION OF REMOTE AND EXPORTED TABLE HANDLE LINKS TO UPDATE PROPAGATION GRAPH NODES” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,984, entitled “COMPUTER DATA SYSTEM CURRENT ROW POSITION QUERY LANGUAGE CONSTRUCT AND ARRAY PROCESSING QUERY LANGUAGE CONSTRUCTS” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,985, entitled “PARSING AND COMPILING DATA SYSTEM QUERIES” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,987, entitled “DYNAMIC FILTER PROCESSING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,988, entitled “DYNAMIC JOIN PROCESSING USING REAL-TIME MERGED NOTIFICATION LISTENER” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,990, entitled “DYNAMIC TABLE INDEX MAPPING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,991, entitled “QUERY TASK PROCESSING BASED ON MEMORY ALLOCATION AND PERFORMANCE CRITERIA” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,993, entitled “A MEMORY-EFFICIENT COMPUTER SYSTEM FOR DYNAMIC UPDATING OF JOIN PROCESSING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,995, entitled “QUERY DISPATCH AND EXECUTION ARCHITECTURE” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,996, entitled “COMPUTER DATA DISTRIBUTION ARCHITECTURE” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,997, entitled “DYNAMIC UPDATING OF QUERY RESULT DISPLAYS” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,998, entitled “DYNAMIC CODE LOADING” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/154,999, entitled “IMPORTATION, PRESENTATION, AND PERSISTENT STORAGE OF DATA” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,001, entitled “COMPUTER DATA DISTRIBUTION ARCHITECTURE” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,005, entitled “PERSISTENT QUERY DISPATCH AND EXECUTION ARCHITECTURE” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,006, entitled “SINGLE INPUT GRAPHICAL USER INTERFACE CONTROL ELEMENT AND METHOD” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,007, entitled “GRAPHICAL USER INTERFACE DISPLAY EFFECTS FOR A COMPUTER DISPLAY SCREEN” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,009, entitled “COMPUTER ASSISTED COMPLETION OF HYPERLINK COMMAND SEGMENTS” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,010, entitled “HISTORICAL DATA REPLAY UTILIZING A COMPUTER SYSTEM” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,011, entitled “DATA STORE ACCESS PERMISSION SYSTEM WITH INTERLEAVED APPLICATION OF DEFERRED ACCESS CONTROL FILTERS” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
application Ser. No. 15/155,012, entitled “REMOTE DATA OBJECT PUBLISHING/SUBSCRIBING SYSTEM HAVING A MULTICAST KEY-VALUE PROTOCOL” and filed in the United States Patent and Trademark Office on May 14, 2016, is hereby incorporated by reference herein in its entirety as if fully set forth herein.
While the disclosed subject matter has been described in conjunction with a number of embodiments, it is evident that many alternatives, modifications and variations would be, or are, apparent to those of ordinary skill in the applicable arts. Accordingly, Applicants intend to embrace all such alternatives, modifications, equivalents and variations that are within the spirit and scope of the disclosed subject matter.
This application claims the benefit of U.S. Provisional Application No. 62/161,813, entitled “Computer Data System” and filed on May 14, 2015, which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
5335202 | Manning et al. | Aug 1994 | A |
5452434 | MacDonald | Sep 1995 | A |
5469567 | Okada | Nov 1995 | A |
5504885 | Alashqur | Apr 1996 | A |
5530939 | Mansfield et al. | Jun 1996 | A |
5568632 | Nelson | Oct 1996 | A |
5673369 | Kim | Sep 1997 | A |
5701461 | Dalal et al. | Dec 1997 | A |
5701467 | Freeston | Dec 1997 | A |
5764953 | Collins et al. | Jun 1998 | A |
5787428 | Hart | Jul 1998 | A |
5806059 | Tsuchida et al. | Sep 1998 | A |
5859972 | Subramaniam et al. | Jan 1999 | A |
5875334 | Chow et al. | Feb 1999 | A |
5878415 | Olds | Mar 1999 | A |
5890167 | Bridge et al. | Mar 1999 | A |
5899990 | Maritzen et al. | May 1999 | A |
5920860 | Maheshwari et al. | Jul 1999 | A |
5943672 | Yoshida | Aug 1999 | A |
5960087 | Tribble et al. | Sep 1999 | A |
5991810 | Shapiro et al. | Nov 1999 | A |
5999918 | Williams et al. | Dec 1999 | A |
6006220 | Haderle et al. | Dec 1999 | A |
6032144 | Srivastava et al. | Feb 2000 | A |
6032148 | Wilkes | Feb 2000 | A |
6038563 | Bapat et al. | Mar 2000 | A |
6058394 | Bakow et al. | May 2000 | A |
6061684 | Glasser et al. | May 2000 | A |
6138112 | Slutz | Oct 2000 | A |
6266669 | Brodersen et al. | Jul 2001 | B1 |
6289357 | Parker | Sep 2001 | B1 |
6292803 | Richardson et al. | Sep 2001 | B1 |
6304876 | Isip | Oct 2001 | B1 |
6317728 | Kane | Nov 2001 | B1 |
6327702 | Sauntry et al. | Dec 2001 | B1 |
6336114 | Garrison | Jan 2002 | B1 |
6353819 | Edwards et al. | Mar 2002 | B1 |
6367068 | Vaidyanathan et al. | Apr 2002 | B1 |
6389414 | Delo et al. | May 2002 | B1 |
6389462 | Cohen et al. | May 2002 | B1 |
6438537 | Netz et al. | Aug 2002 | B1 |
6446069 | Yaung et al. | Sep 2002 | B1 |
6460037 | Weiss et al. | Oct 2002 | B1 |
6473750 | Petculescu et al. | Oct 2002 | B1 |
6487552 | Lei et al. | Nov 2002 | B1 |
6496833 | Goldberg et al. | Dec 2002 | B1 |
6505189 | Au et al. | Jan 2003 | B1 |
6505241 | Pitts | Jan 2003 | B2 |
6510551 | Miller | Jan 2003 | B1 |
6530075 | Beadle et al. | Mar 2003 | B1 |
6538651 | Hayman et al. | Mar 2003 | B1 |
6546402 | Beyer et al. | Apr 2003 | B1 |
6553375 | Huang et al. | Apr 2003 | B1 |
6584474 | Pereira | Jun 2003 | B1 |
6604104 | Smith | Aug 2003 | B1 |
6618720 | Au et al. | Sep 2003 | B1 |
6631374 | Klein et al. | Oct 2003 | B1 |
6640234 | Coffen et al. | Oct 2003 | B1 |
6697880 | Dougherty | Feb 2004 | B1 |
6701415 | Hendren | Mar 2004 | B1 |
6714962 | Helland et al. | Mar 2004 | B1 |
6725243 | Snapp | Apr 2004 | B2 |
6732100 | Brodersen et al. | May 2004 | B1 |
6745332 | Wong et al. | Jun 2004 | B1 |
6748374 | Madan et al. | Jun 2004 | B1 |
6748455 | Hinson et al. | Jun 2004 | B1 |
6760719 | Hanson et al. | Jul 2004 | B1 |
6775660 | Lin et al. | Aug 2004 | B2 |
6785668 | Polo et al. | Aug 2004 | B1 |
6795851 | Noy | Sep 2004 | B1 |
6816855 | Hartel et al. | Nov 2004 | B2 |
6820082 | Cook et al. | Nov 2004 | B1 |
6829620 | Michael et al. | Dec 2004 | B2 |
6832229 | Reed | Dec 2004 | B2 |
6851088 | Conner et al. | Feb 2005 | B1 |
6882994 | Yoshimura et al. | Apr 2005 | B2 |
6925472 | Kong | Aug 2005 | B2 |
6934717 | James | Aug 2005 | B1 |
6947928 | Dettinger et al. | Sep 2005 | B2 |
6983291 | Cochrane et al. | Jan 2006 | B1 |
6985895 | Witkowski et al. | Jan 2006 | B2 |
6985899 | Chan et al. | Jan 2006 | B2 |
6985904 | Kaluskar et al. | Jan 2006 | B1 |
7020649 | Cochrane et al. | Mar 2006 | B2 |
7024414 | Yah et al. | Apr 2006 | B2 |
7031962 | Moses | Apr 2006 | B2 |
7058657 | Berno | Jun 2006 | B1 |
7089228 | Arnold et al. | Aug 2006 | B2 |
7089245 | George et al. | Aug 2006 | B1 |
7096216 | Anonsen | Aug 2006 | B2 |
7099927 | Cudd et al. | Aug 2006 | B2 |
7103608 | Ozbutun et al. | Sep 2006 | B1 |
7110997 | Turkel et al. | Sep 2006 | B1 |
7127462 | Hiraga et al. | Oct 2006 | B2 |
7146357 | Suzuki et al. | Dec 2006 | B2 |
7149742 | Eastham et al. | Dec 2006 | B1 |
7167870 | Avvari et al. | Jan 2007 | B2 |
7171469 | Ackaouy et al. | Jan 2007 | B2 |
7174341 | Ghukasyan et al. | Feb 2007 | B2 |
7181686 | Bahrs | Feb 2007 | B1 |
7188105 | Dettinger et al. | Mar 2007 | B2 |
7200620 | Gupta | Apr 2007 | B2 |
7216115 | Walters et al. | May 2007 | B1 |
7216116 | Nilsson et al. | May 2007 | B1 |
7219302 | O'Shaughnessy et al. | May 2007 | B1 |
7225189 | McCormack et al. | May 2007 | B1 |
7254808 | Trappen et al. | Aug 2007 | B2 |
7257689 | Baird | Aug 2007 | B1 |
7272605 | Hinshaw et al. | Sep 2007 | B1 |
7308580 | Nelson et al. | Dec 2007 | B2 |
7316003 | Dulepet et al. | Jan 2008 | B1 |
7330969 | Harrison et al. | Feb 2008 | B2 |
7333941 | Choi | Feb 2008 | B1 |
7343585 | Lau et al. | Mar 2008 | B1 |
7350237 | Vogel et al. | Mar 2008 | B2 |
7380242 | Alaluf | May 2008 | B2 |
7401088 | Chintakayala et al. | Jul 2008 | B2 |
7426521 | Harter | Sep 2008 | B2 |
7430549 | Zane et al. | Sep 2008 | B2 |
7433863 | Zane et al. | Oct 2008 | B2 |
7447865 | Uppala et al. | Nov 2008 | B2 |
7478094 | Ho et al. | Jan 2009 | B2 |
7484096 | Garg et al. | Jan 2009 | B1 |
7493311 | Cutsinger | Feb 2009 | B1 |
7506055 | McClain et al. | Mar 2009 | B2 |
7529734 | Dirisala | May 2009 | B2 |
7529750 | Bair | May 2009 | B2 |
7542958 | Warren et al. | Jun 2009 | B1 |
7552223 | Ackaouy et al. | Jun 2009 | B1 |
7610351 | Gollapudi et al. | Oct 2009 | B1 |
7620687 | Chen et al. | Nov 2009 | B2 |
7624126 | Pizzo et al. | Nov 2009 | B2 |
7627603 | Rosenblum et al. | Dec 2009 | B2 |
7661141 | Dutta et al. | Feb 2010 | B2 |
7664778 | Yagoub et al. | Feb 2010 | B2 |
7672275 | Yajnik et al. | Mar 2010 | B2 |
7680782 | Chen et al. | Mar 2010 | B2 |
7711716 | Stonecipher | May 2010 | B2 |
7711740 | Minore et al. | May 2010 | B2 |
7747640 | Dellinger et al. | Jun 2010 | B2 |
7761444 | Zhang et al. | Jul 2010 | B2 |
7797356 | Iyer et al. | Sep 2010 | B2 |
7827204 | Heinzel et al. | Nov 2010 | B2 |
7827403 | Wong et al. | Nov 2010 | B2 |
7827523 | Ahmed et al. | Nov 2010 | B2 |
7882121 | Bruno et al. | Feb 2011 | B2 |
7882132 | Ghatare | Feb 2011 | B2 |
7904487 | Ghatare | Mar 2011 | B2 |
7908259 | Branscome et al. | Mar 2011 | B2 |
7908266 | Zeringue et al. | Mar 2011 | B2 |
7930412 | Yeap et al. | Apr 2011 | B2 |
7966311 | Haase | Jun 2011 | B2 |
7966312 | Nolan et al. | Jun 2011 | B2 |
7966343 | Yang et al. | Jun 2011 | B2 |
7970777 | Saxena et al. | Jun 2011 | B2 |
7979431 | Qazi et al. | Jul 2011 | B2 |
7984043 | Waas | Jul 2011 | B1 |
8019795 | Anderson et al. | Sep 2011 | B2 |
8027293 | Spaur et al. | Sep 2011 | B2 |
8032525 | Bowers et al. | Oct 2011 | B2 |
8037542 | Taylor et al. | Oct 2011 | B2 |
8046394 | Shatdal | Oct 2011 | B1 |
8046749 | Owen et al. | Oct 2011 | B1 |
8055672 | Djugash et al. | Nov 2011 | B2 |
8060484 | Bandera et al. | Nov 2011 | B2 |
8171018 | Zane et al. | May 2012 | B2 |
8180789 | Wasserman et al. | May 2012 | B1 |
8196121 | Peshansky et al. | Jun 2012 | B2 |
8209356 | Roesler | Jun 2012 | B1 |
8286189 | Kukreja et al. | Oct 2012 | B2 |
8321833 | Langworthy et al. | Nov 2012 | B2 |
8332435 | Ballard et al. | Dec 2012 | B2 |
8359305 | Burke et al. | Jan 2013 | B1 |
8375127 | Lita | Feb 2013 | B1 |
8380757 | Bailey et al. | Feb 2013 | B1 |
8418142 | Ao et al. | Apr 2013 | B2 |
8433701 | Sargeant et al. | Apr 2013 | B2 |
8458218 | Wildermuth | Jun 2013 | B2 |
8473897 | Box et al. | Jun 2013 | B2 |
8478713 | Cotner et al. | Jul 2013 | B2 |
8515942 | Marum et al. | Aug 2013 | B2 |
8543620 | Ching | Sep 2013 | B2 |
8553028 | Urbach | Oct 2013 | B1 |
8555263 | Allen et al. | Oct 2013 | B2 |
8560502 | Vora | Oct 2013 | B2 |
8595151 | Hao et al. | Nov 2013 | B2 |
8601016 | Briggs et al. | Dec 2013 | B2 |
8631034 | Peloski | Jan 2014 | B1 |
8650182 | Murthy | Feb 2014 | B2 |
8660869 | MacIntyre et al. | Feb 2014 | B2 |
8676863 | Connell et al. | Mar 2014 | B1 |
8683488 | Kukreja et al. | Mar 2014 | B2 |
8713518 | Pointer et al. | Apr 2014 | B2 |
8719252 | Miranker et al. | May 2014 | B2 |
8725707 | Chen et al. | May 2014 | B2 |
8726254 | Rohde et al. | May 2014 | B2 |
8745014 | Travis | Jun 2014 | B2 |
8745510 | D'Alo′ et al. | Jun 2014 | B2 |
8751823 | Myles et al. | Jun 2014 | B2 |
8768961 | Krishnamurthy | Jul 2014 | B2 |
8788254 | Peloski | Jul 2014 | B2 |
8793243 | Weyerhaeuser et al. | Jul 2014 | B2 |
8805947 | Kuzkin | Aug 2014 | B1 |
8806133 | Hay et al. | Aug 2014 | B2 |
8812625 | Chitilian et al. | Aug 2014 | B1 |
8838656 | Cheriton | Sep 2014 | B1 |
8855999 | Elliot | Oct 2014 | B1 |
8863156 | Lepanto et al. | Oct 2014 | B1 |
8874512 | Jin et al. | Oct 2014 | B2 |
8880569 | Draper et al. | Nov 2014 | B2 |
8880787 | Kimmel et al. | Nov 2014 | B1 |
8881121 | Ali | Nov 2014 | B2 |
8886631 | Abadi et al. | Nov 2014 | B2 |
8903717 | Elliot | Dec 2014 | B2 |
8903842 | Bloesch et al. | Dec 2014 | B2 |
8922579 | Mi et al. | Dec 2014 | B2 |
8924384 | Driesen et al. | Dec 2014 | B2 |
8930892 | Pointer et al. | Jan 2015 | B2 |
8954418 | Faerber et al. | Feb 2015 | B2 |
8959495 | Chafi et al. | Feb 2015 | B2 |
8996864 | Maigne et al. | Mar 2015 | B2 |
9031930 | Valentin | May 2015 | B2 |
9077611 | Cordray et al. | Jul 2015 | B2 |
9122765 | Chen | Sep 2015 | B1 |
9195712 | Freedman et al. | Nov 2015 | B2 |
9298768 | Varakin et al. | Mar 2016 | B2 |
9311357 | Ramesh et al. | Apr 2016 | B2 |
9372671 | Balan et al. | Jun 2016 | B2 |
9384184 | Cervantes et al. | Jul 2016 | B2 |
9613018 | Zeldis et al. | Apr 2017 | B2 |
9633060 | Caudy et al. | Apr 2017 | B2 |
9679006 | Wright et al. | Jun 2017 | B2 |
9805084 | Wright et al. | Oct 2017 | B2 |
9832068 | McSherry et al. | Nov 2017 | B2 |
20020002576 | Wollrath et al. | Jan 2002 | A1 |
20020007331 | Lo et al. | Jan 2002 | A1 |
20020054587 | Baker et al. | May 2002 | A1 |
20020065981 | Jenne et al. | May 2002 | A1 |
20020129168 | Kenai et al. | Sep 2002 | A1 |
20020156722 | Greenwood | Oct 2002 | A1 |
20030004952 | Nixon et al. | Jan 2003 | A1 |
20030061216 | Moses | Mar 2003 | A1 |
20030074400 | Brooks et al. | Apr 2003 | A1 |
20030110416 | Morrison et al. | Jun 2003 | A1 |
20030167261 | Grust et al. | Sep 2003 | A1 |
20030182261 | Patterson | Sep 2003 | A1 |
20030208484 | Chang et al. | Nov 2003 | A1 |
20030208505 | Mullins et al. | Nov 2003 | A1 |
20030233632 | Aigen et al. | Dec 2003 | A1 |
20040002961 | Dettinger et al. | Jan 2004 | A1 |
20040076155 | Yajnik et al. | Apr 2004 | A1 |
20040111492 | Nakahara et al. | Jun 2004 | A1 |
20040148630 | Choi | Jul 2004 | A1 |
20040186813 | Tedesco et al. | Sep 2004 | A1 |
20040216150 | Scheitler et al. | Oct 2004 | A1 |
20040220923 | Nica | Nov 2004 | A1 |
20040254876 | Coval et al. | Dec 2004 | A1 |
20050015490 | Saare et al. | Jan 2005 | A1 |
20050060693 | Robison et al. | Mar 2005 | A1 |
20050097447 | Serra et al. | May 2005 | A1 |
20050102284 | Srinivasan et al. | May 2005 | A1 |
20050102636 | McKeon et al. | May 2005 | A1 |
20050131893 | Glan | Jun 2005 | A1 |
20050132384 | Morrison et al. | Jun 2005 | A1 |
20050138624 | Morrison et al. | Jun 2005 | A1 |
20050165866 | Bohannon et al. | Jul 2005 | A1 |
20050198001 | Cunningham et al. | Sep 2005 | A1 |
20060059253 | Goodman et al. | Mar 2006 | A1 |
20060074901 | Pirahesh et al. | Apr 2006 | A1 |
20060085490 | Baron et al. | Apr 2006 | A1 |
20060100989 | Chinchwadkar et al. | May 2006 | A1 |
20060101019 | Nelson et al. | May 2006 | A1 |
20060116983 | Dettinger et al. | Jun 2006 | A1 |
20060116999 | Dettinger et al. | Jun 2006 | A1 |
20060136361 | Peri et al. | Jun 2006 | A1 |
20060173693 | Arazi et al. | Aug 2006 | A1 |
20060195460 | Nod et al. | Aug 2006 | A1 |
20060212847 | Tarditi et al. | Sep 2006 | A1 |
20060218123 | Chowdhuri et al. | Sep 2006 | A1 |
20060218200 | Factor et al. | Sep 2006 | A1 |
20060230016 | Cunningham et al. | Oct 2006 | A1 |
20060253311 | Yin et al. | Nov 2006 | A1 |
20060271510 | Harward et al. | Nov 2006 | A1 |
20060277162 | Smith | Dec 2006 | A1 |
20070011211 | Reeves et al. | Jan 2007 | A1 |
20070027884 | Heger et al. | Feb 2007 | A1 |
20070033518 | Kenna et al. | Feb 2007 | A1 |
20070073765 | Chen | Mar 2007 | A1 |
20070101252 | Chamberlain et al. | May 2007 | A1 |
20070169003 | Branda et al. | Jul 2007 | A1 |
20070256060 | Ryu et al. | Nov 2007 | A1 |
20070258508 | Werb et al. | Nov 2007 | A1 |
20070271280 | Chandasekaran | Nov 2007 | A1 |
20070299822 | Jopp et al. | Dec 2007 | A1 |
20080022136 | Mattsson | Jan 2008 | A1 |
20080033907 | Woehler et al. | Feb 2008 | A1 |
20080034084 | Pandya | Feb 2008 | A1 |
20080046804 | Rui et al. | Feb 2008 | A1 |
20080072150 | Chan et al. | Mar 2008 | A1 |
20080120283 | Liu et al. | May 2008 | A1 |
20080155565 | Poduri | Jun 2008 | A1 |
20080168135 | Redlich et al. | Jul 2008 | A1 |
20080235238 | Jalobeanu et al. | Sep 2008 | A1 |
20080263179 | Buttner et al. | Oct 2008 | A1 |
20080276241 | Bajpai et al. | Nov 2008 | A1 |
20080319951 | Ueno et al. | Dec 2008 | A1 |
20090019029 | Tommaney et al. | Jan 2009 | A1 |
20090022095 | Spaur et al. | Jan 2009 | A1 |
20090024615 | Pedro et al. | Jan 2009 | A1 |
20090037391 | Agrawal et al. | Feb 2009 | A1 |
20090055370 | Dagum et al. | Feb 2009 | A1 |
20090083215 | Burger | Mar 2009 | A1 |
20090089312 | Chi et al. | Apr 2009 | A1 |
20090248902 | Blue | Oct 2009 | A1 |
20090254516 | Meiyyappan et al. | Oct 2009 | A1 |
20090271472 | Scheifler | Oct 2009 | A1 |
20090300770 | Rowney et al. | Dec 2009 | A1 |
20090319058 | Rovaglio et al. | Dec 2009 | A1 |
20090319484 | Golbandi et al. | Dec 2009 | A1 |
20090327242 | Brown et al. | Dec 2009 | A1 |
20100036801 | Pirvali et al. | Feb 2010 | A1 |
20100042587 | Johnson et al. | Feb 2010 | A1 |
20100047760 | Best et al. | Feb 2010 | A1 |
20100049715 | Jacobsen et al. | Feb 2010 | A1 |
20100161555 | Nica et al. | Jun 2010 | A1 |
20100186082 | Ladki | Jul 2010 | A1 |
20100199161 | Aureglia et al. | Aug 2010 | A1 |
20100205017 | Sichelman et al. | Aug 2010 | A1 |
20100205351 | Wiener et al. | Aug 2010 | A1 |
20100281005 | Carlin et al. | Nov 2010 | A1 |
20100281071 | Ben-Zvi et al. | Nov 2010 | A1 |
20110126110 | Vilke | May 2011 | A1 |
20110126154 | Boehler et al. | May 2011 | A1 |
20110153603 | Adiba et al. | Jun 2011 | A1 |
20110161378 | Williamson | Jun 2011 | A1 |
20110167020 | Yang et al. | Jul 2011 | A1 |
20110178984 | Talius et al. | Jul 2011 | A1 |
20110194563 | Shen et al. | Aug 2011 | A1 |
20110219020 | Oks et al. | Sep 2011 | A1 |
20110314019 | Peris | Dec 2011 | A1 |
20120110030 | Pomponio | May 2012 | A1 |
20120144234 | Clark | Jun 2012 | A1 |
20120159303 | Friedrich et al. | Jun 2012 | A1 |
20120191446 | Binsztok et al. | Jul 2012 | A1 |
20120192096 | Bowman et al. | Jul 2012 | A1 |
20120197868 | Fauser et al. | Aug 2012 | A1 |
20120209886 | Henderson | Aug 2012 | A1 |
20120215741 | Poole et al. | Aug 2012 | A1 |
20120221528 | Renkes | Aug 2012 | A1 |
20120246052 | Taylor et al. | Sep 2012 | A1 |
20120254143 | Varma et al. | Oct 2012 | A1 |
20120259759 | Crist et al. | Oct 2012 | A1 |
20120296846 | Teeter | Nov 2012 | A1 |
20130041946 | Joel et al. | Feb 2013 | A1 |
20130080514 | Gupta et al. | Mar 2013 | A1 |
20130086107 | Genochio et al. | Apr 2013 | A1 |
20130166556 | Baeumges et al. | Jun 2013 | A1 |
20130173667 | Soderberg et al. | Jul 2013 | A1 |
20130179460 | Cervantes et al. | Jul 2013 | A1 |
20130185619 | Ludwig | Jul 2013 | A1 |
20130191370 | Chen et al. | Jul 2013 | A1 |
20130198232 | Shamgunov et al. | Aug 2013 | A1 |
20130226959 | Dittrich et al. | Aug 2013 | A1 |
20130246560 | Feng et al. | Sep 2013 | A1 |
20130263123 | Zhou et al. | Oct 2013 | A1 |
20130290243 | Hazel et al. | Oct 2013 | A1 |
20130304725 | Nee et al. | Nov 2013 | A1 |
20130304744 | McSherry et al. | Nov 2013 | A1 |
20130311352 | Kayanuma et al. | Nov 2013 | A1 |
20130311488 | Erdogan et al. | Nov 2013 | A1 |
20130318129 | Vingralek et al. | Nov 2013 | A1 |
20130346365 | Kan et al. | Dec 2013 | A1 |
20140019494 | Tang | Jan 2014 | A1 |
20140040203 | Lu et al. | Feb 2014 | A1 |
20140059646 | Hannel et al. | Feb 2014 | A1 |
20140082724 | Pearson et al. | Mar 2014 | A1 |
20140136521 | Pappas | May 2014 | A1 |
20140143123 | Banke et al. | May 2014 | A1 |
20140149997 | Kukreja et al. | May 2014 | A1 |
20140156618 | Castellano | Jun 2014 | A1 |
20140173023 | Varney et al. | Jun 2014 | A1 |
20140181036 | Dhamankar et al. | Jun 2014 | A1 |
20140181081 | Veldhuizen | Jun 2014 | A1 |
20140188924 | Ma et al. | Jul 2014 | A1 |
20140195558 | Murthy et al. | Jul 2014 | A1 |
20140201194 | Reddy et al. | Jul 2014 | A1 |
20140215446 | Araya et al. | Jul 2014 | A1 |
20140222768 | Rambo et al. | Aug 2014 | A1 |
20140229506 | Lee | Aug 2014 | A1 |
20140229874 | Strauss | Aug 2014 | A1 |
20140244687 | Shmueli et al. | Aug 2014 | A1 |
20140279810 | Mann et al. | Sep 2014 | A1 |
20140280522 | Watte | Sep 2014 | A1 |
20140282227 | Nixon et al. | Sep 2014 | A1 |
20140282444 | Araya et al. | Sep 2014 | A1 |
20140282540 | Bonnet | Sep 2014 | A1 |
20140297611 | Abbour et al. | Oct 2014 | A1 |
20140317084 | Chaudhry et al. | Oct 2014 | A1 |
20140324821 | Meiyyappan et al. | Oct 2014 | A1 |
20140330700 | Studnitzer et al. | Nov 2014 | A1 |
20140330807 | Weyerhaeuser et al. | Nov 2014 | A1 |
20140344186 | Nadler | Nov 2014 | A1 |
20140344391 | Varney et al. | Nov 2014 | A1 |
20140359574 | Beckwith et al. | Dec 2014 | A1 |
20140372482 | Martin et al. | Dec 2014 | A1 |
20140380051 | Edward et al. | Dec 2014 | A1 |
20150019516 | Wein et al. | Jan 2015 | A1 |
20150026155 | Martin | Jan 2015 | A1 |
20150067640 | Booker et al. | Mar 2015 | A1 |
20150074066 | Li et al. | Mar 2015 | A1 |
20150082218 | Affoneh et al. | Mar 2015 | A1 |
20150088894 | Czarlinska et al. | Mar 2015 | A1 |
20150095381 | Chen et al. | Apr 2015 | A1 |
20150120261 | Giannacopoulos et al. | Apr 2015 | A1 |
20150127599 | Schiebeler | May 2015 | A1 |
20150154262 | Yang et al. | Jun 2015 | A1 |
20150172117 | Dolinsky et al. | Jun 2015 | A1 |
20150188778 | Asayag et al. | Jul 2015 | A1 |
20150205588 | Bates et al. | Jul 2015 | A1 |
20150205589 | Daily | Jul 2015 | A1 |
20150254298 | Bourbonnais et al. | Sep 2015 | A1 |
20150304182 | Brodsky et al. | Oct 2015 | A1 |
20150317359 | Tran et al. | Nov 2015 | A1 |
20150356157 | Anderson et al. | Dec 2015 | A1 |
20160026442 | Chhaparia | Jan 2016 | A1 |
20160065670 | Kimmel et al. | Mar 2016 | A1 |
20160092599 | Barsness | Mar 2016 | A1 |
20160125018 | Tomoda et al. | May 2016 | A1 |
20160171070 | Hrle | Jun 2016 | A1 |
20160253294 | Allen et al. | Sep 2016 | A1 |
20160335330 | Teodorescu et al. | Nov 2016 | A1 |
20160335361 | Teodorescu et al. | Nov 2016 | A1 |
20170161514 | Dettinger | Jun 2017 | A1 |
20170235794 | Wright et al. | Aug 2017 | A1 |
20170359415 | Venkatraman et al. | Dec 2017 | A1 |
Number | Date | Country |
---|---|---|
2309462 | Dec 2000 | CA |
1406463 | Apr 2004 | EP |
1198769 | Jun 2008 | EP |
2199961 | Jun 2010 | EP |
2423816 | Feb 2012 | EP |
2743839 | Jun 2014 | EP |
2421798 | Jun 2011 | RU |
2000000879 | Jan 2000 | WO |
2001079964 | Oct 2001 | WO |
2011120161 | Oct 2011 | WO |
2012136627 | Oct 2012 | WO |
WO-2014026220 | Feb 2014 | WO |
2014143208 | Sep 2014 | WO |
Entry |
---|
“IBM Informix TimeSeries data management”, dated Jan. 18, 2016. Retrieved from https://web.archive.org/web/20160118072141/http://www-01.ibm.com/software/data/informix/timeseries/. |
“IBM—What is HBase?”, dated Sep. 6, 2015. Retrieved from https://web.archive.org/web/20150906022050/http://www-01.ibm.com/software/data/infosphere/hadoop/hbase/. |
“SAP HANA Administration Guide”, dated Mar. 29, 2016, pp. 290-294. Retrieved from https://web.archive.org/web/20160417053656/http://help.sap.com/hana/SAP_HANA_Administration_Guide_en.pdf. |
“Oracle Big Data Appliance—Perfect Balance Java API”, dated Sep. 20, 2015. Retrieved from https://web.archive.org/web/20131220040005/http://docs.oracle.com/cd/E41604_01/doc.22/e41667/toc.htm. |
“Oracle Big Data Appliance—X5-2”, dated Sep. 6, 2015. Retrieved from https://web.archive.org/web/20150906185409/http://www.oracle.com/technetwork/database/bigdata-appliance/overview/bigdataappliance-datasheet-1883358.pdf. |
“Sophia Database—Architecture”, dated Jan. 18, 2016. Retrieved from https://web.archive.org/web/20160118052919/http://sphia.org/architecture.html. |
“Google Protocol RPC Library Overview”, dated Apr. 27, 2016. Retrieved from https://cloud.google.com/appengine/docs/python/tools/protorpc/ (last accessed Jun. 16, 2016). |
“Maximize Data Value with Very Large Database Management by SAP® Sybase® IQ”, dated 2013. Retrieved from http://www.sap.com/bin/sapcom/en_us/downloadasset.2013-06-jun-11-11.maximize-data-value-with-very-large-database-management-by-sap-sybase-ig-pdf.html. |
“Microsoft Azure—Managing Access Control Lists (ACLs) for Endpoints by using PowerShell”, dated Nov. 12, 2014. Retrieved from https://web.archive.org/web/20150110170715/http://msdn.microsoft.com/en-us/library/azure/dn376543.aspx. |
“IBM InfoSphere BigInsights 3.0.0—Importing data from and exporting data to DB2 by using Sqoop”, dated Jan. 15, 2015. Retrieved from https://web.archive.org/web/20150115034058/http://www-01.ibm.com/support/knowledgecenter/SSPT3X_3.0.0/com.ibm.swg.im.infosphere.biginsights.import.doc/doc/data_warehouse_sqoop.html. |
“GNU Emacs Manual”, dated Apr. 15, 2016, pp. 43-47. Retrieved from https://web.archive.org/web/20160415175915/http://www.gnu.org/software/emacs/manual/html_mono/emacs.html. |
“Oracle® Big Data Appliance—Software User's Guide”, dated Feb. 2015. Retrieved from https://docs.oracle.com/cd/E55905_01/doc.40/e55814.pdf. |
“About Entering Commands in the Command Window”, dated Dec. 16, 2015. Retrieved from https://knowledge.autodesk.com/support/autocad/learn-explore/caas/CloudHelp/cloudhelp/2016/ENU/AutoCAD-Core/files/GUID-BB0C3E79-66AF-4557-9140-D31B4CF3C9CF-htm.html (last accessed Jun. 16, 2016). |
“Use Formula AutoComplete”, dated 2010. Retrieved from https://support.office.com/en-us/article/Use-Formula-AutoComplete-c7c46fa6-3a94-4150-a2f7-34140c1ee4d9 (last accessed Jun. 16, 2016). |
Mariyappan, Balakrishnan. “10 Useful Linux Bash_Completion Complete Command Examples (Bash Command Line Completion on Steroids)”, dated Dec. 2, 2013. Retrieved from http://www.thegeekstuff.com/2013/12/bash-completion-complete/ (last accessed Jun. 16, 2016). |
Cheusheva, Svetlana. “How to change the row color based on a cell's value in Excel”, dated Oct. 29, 2013. Retrieved from https://www.ablebits.com/office-addins-blog/2013/10/29/excel-change-row-background-color/ (last accessed Jun. 16, 2016). |
Jellema, Lucas. “Implementing Cell Highlighting in JSF-based Rich Enterprise Apps (Part 1)”, dated Nov. 2008. Retrieved from http://www.oracle.com/technetwork/articles/adf/jellema-adfcellhighlighting-087850.html (last accessed Jun. 16, 2016). |
Adelfio et al. “Schema Extraction for Tabular Data on the Web”, Proceedings of the VLDB Endowment, vol. 6, No. 6. Apr. 2013. Retrieved from http://www.cs.umd.edu/˜hjs/pubs/spreadsheets-vldb13.pdf. |
“Change Data Capture”, Oracle Database Online Documentation 11g Release 1 (11.1), dated Apr. 5, 2016. Retreived from https://web.archive.org/web/20160405032625/http://docs.oracle.com/cd/B28359_01/server.111/b28313/cdc.htm. |
“Chapter 24. Query access plans”, Tuning Database Performance, DB2 Version 9.5 for Linux, UNIX, and Windows, pp. 301-462, dated Dec. 2010. Retreived from http://public.dhe.ibm.com/ps/products/db2/info/vr95/pdf/en_US/DB2PerfTuneTroubleshoot-db2d3e953.pdf. |
“Tracking Data Changes”, SQL Server 2008 R2, dated Sep. 22, 2015. Retreived from https://web.archive.org/web/20150922000614/https://technet.microsoft.com/en-us/library/bb933994(v=sql.105).aspx. |
Borror, Jefferey A. “Q for Mortals 2.0”, dated Nov. 1, 2011. Retreived from http://code.kx.com/wiki/JB:QforMortals2/contents. |
Gai, Lei et al. “An Efficient Summary Graph Driven Method for RDF Query Processing”, dated Oct. 27, 2015. Retreived from http://arxiv.org/pdf/1510.07749.pdf. |
Lou, Yuan. “A Multi-Agent Decision Support System for Stock Trading”, IEEE Network, Jan./Feb. 2002. Retreived from http://www.reading.ac.uk/AcaDepts/si/sisweb13/ais/papers/journal12-A%20multi-agent%20Framework.pdf. |
Palpanas, Themistoklis et al. “Incremental Maintenance for Non-Distributive Aggregate Functions”, Proceedings of the 28th VLDB Conference, 2002. Retreived from http://www.vldb.org/conf/2002/S22P04.pdf. |
Wu, Buwen et al. “Scalable SPARQL Querying using Path Partitioning”, 31st IEEE International Conference on Data Engineering (ICDE 2015), Seoul, Korea, Apr. 13-17, 2015. Retreived from http://imada.sdu.dk/˜zhou/papers/icde2015.pdf. |
Non-final Office Action dated Sep. 9, 2016, in U.S. Appl. No. 15/154,996. |
Non-final Office Action dated Sep. 9, 2016, in U.S. Appl. No. 15/155,010. |
Notice of Allowance dated Dec. 19, 2016, in U.S. Appl. No. 15/155,001. |
Notice of Allowance dated Dec. 22, 2016, in U.S. Appl. No. 15/155,011. |
Notice of Allowance dated Dec. 7, 2016, in U.S. Appl. No. 15/154,985. |
Notice of Allowance dated Feb. 1, 2017, in U.S. Appl. No. 15/154,988. |
Notice of Allowance dated Jan. 30, 2017, in U.S. Appl. No. 15/154,987. |
Notice of Allowance dated Nov. 17, 2016, in U.S. Appl. No. 15/154,991. |
Notice of Allowance dated Nov. 21, 2016, in U.S. Appl. No. 15/154,983. |
Notice of Allowance dated Nov. 8, 2016, in U.S. Appl. No. 15/155,007. |
Notice of Allowance dated Oct. 11, 2016, in U.S. Appl. No. 15/155,007. |
Notice of Allowance dated Oct. 21, 2016, in U.S. Appl. No. 15/154,999. |
PowerShell Team, Intellisense in Windows PowerShell ISE 3.0, dated Jun. 12, 2012, Windows PowerShell Blog, pp. 1-6 Retrieved: https://biogs.msdn.microsoft.com/powershell/2012/06/12/intellisense-in-windows-powershell-ise-3-0/. |
Smith, Ian. “Guide to Using SQL: Computed and Automatic Columns.” RDB Jornal, dated Sep. 2008, retrieved Aug. 15, 2016, retrieved from the Internet <URL: http://www.oracle.com/technetwork/products/rdb/automatic-columns-132042.pdf>. |
Wes McKinney & PyData Development Team. “pandas: powerful Python data analysis toolkit, Release 0.16.1” Dated May 11, 2015. Retrieved from: http://pandas.pydata.org/pandas-doc.s/version/0.16.1/index.html. |
Wes McKinney & PyData Development Team. “pandas: powerful Python data analysis toolkit, Release 0.18.1” Dated May 3, 2016. Retrieved from: http://pandas.pydata.org/pandas-docs/version/0.18.1/index.html. |
Ex Parte Quayle Action mailed Aug. 8, 2016, in U.S. Appl. No. 15/154,999. |
Final Office Action dated Dec. 19, 2016, in U.S. Appl. No. 15/154,995. |
Final Office Action dated Jan. 27, 2017, in U.S. Appl. No. 15/154,980. |
Final Office Action dated Jan. 31, 2017, in U.S. Appl. No. 15/154,996. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032582 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032584 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032588 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032593 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032597 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032599 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 18, 2016, in International Appln. No. PCT/US2016/032605 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 25, 2016, in International Appln. No. PCT/US2016/032590 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 25, 2016, in International Appln. No. PCT/US2016/032592 filed May 14, 2016. |
International Search Report and Written Opinion dated Aug. 4, 2016, in International Appln. No. PCT/US2016/032581 filed May 14, 2016. |
International Search Report and Written Opinion dated Jul. 28, 2016, in International Appln. No. PCT/US2016/032586 filed May 14, 2016. |
International Search Report and Written Opinion dated Jul. 28, 2016, in International Appln. No. PCT/US2016/032587 filed May 14, 2016. |
International Search Report and Written Opinion dated Jul. 28, 2016, in International Appln. No. PCT/US2016/032589 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 1, 2016, in International Appln. No. PCT/US2016/032596 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 1, 2016, in International Appln. No. PCT/US2016/032598 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 1, 2016, in International Appln. No. PCT/US2016/032601 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 1, 2016, in International Appln. No. PCT/US2016/032602 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 1, 2016, in International Appln. No. PCT/US2016/032607 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 15, 2016, in International Appln. No. PCT/US2016/032591 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 15, 2016, in International Appln. No. PCT/US2016/032594 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 15, 2016, in International Appln. No. PCT/US2016/032600 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 29, 2016, in International Appln. No. PCT/US2016/032595 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 29, 2016, in International Appln. No. PCT/US2016/032606 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 8, 2016, in International Appln. No. PCT/US2016/032603 filed May 14, 2016. |
International Search Report and Written Opinion dated Sep. 8, 2016, in International Appln. No. PCT/US2016/032604 filed May 14, 2016. |
Mallet, “Relational Database Support for Spatia-Temporal Data”, Technical Report TR 04-21, Sep. 2004, University of Alberta, Department of Computing Science. |
Murray, Derek G. et al. “Naiad: a timely dataflow system.” SOSP '13 Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles. pp. 439-455. Nov. 2013. |
Non-final Office Action dated Aug. 12, 2016, in U.S. Appl. No. 15/155,001. |
Non-final Office Action dated Aug. 16, 2016, in U.S. Appl. No. 15/154,993. |
Non-final Office Action dated Aug. 19, 2016, in U.S. Appl. No. 15/154,991. |
Non-final Office Action dated Aug. 25, 2016, in U.S. Appl. No. 15/154,980. |
Non-final Office Action dated Aug. 26, 2016, in U.S. Appl. No. 15/154,995. |
Non-final Office Action dated Aug. 8, 2016, in U.S. Appl. No. 15/154,981. |
Non-final Office Action dated Aug. 8, 2016, in U.S. Appl. No. 15/154,985. |
Non-final Office Action dated Nov. 17, 2016, in U.S. Appl. No. 15/154,999. |
Non-final Office Action dated Oct. 13, 2016, in U.S. Appl. No. 15/155,009. |
Non-final Office Action dated Oct. 27, 2016, in U.S. Appl. No. 15/155,006. |
Non-final Office Action dated Oct. 7, 2016, in U.S. Appl. No. 15/154,998. |
Non-final Office Action dated Sep. 1, 2016, in U.S. Appl. No. 15/154,979. |
Non-final Office Action dated Sep. 1, 2016, in U.S. Appl. No. 15/155,011. |
Non-final Office Action dated Sep. 1, 2016, in U.S. Appl. No. 15/155,012. |
Non-final Office Action dated Sep. 14, 2016, in U.S. Appl. No. 15/154,984. |
Non-final Office Action dated Sep. 16, 2016, in U.S. Appl. No. 15/154,988. |
Non-final Office Action dated Sep. 22, 2016, in U.S. Appl. No. 15/154,987. |
Non-final Office Action dated Sep. 29, 2016, in U.S. Appl. No. 15/154,990. |
Non-final Office Action dated Sep. 8, 2016, in U.S. Appl. No. 15/154,975. |
Corrected Notice of Allowability dated Mar. 10, 2017, in U.S. Appl. No. 15/154,979. |
Final Office Action dated Feb. 24, 2017, in U.S. Appl. No. 15/154,993. |
Final Office Action dated Mar. 1, 2017, in U.S. Appl. No. 15/154,975. |
Final Office Action dated Mar. 13, 2017, in U.S. Appl. No. 15/155,012. |
Non-final Office Action dated Feb. 8, 2017, in U.S. Appl. No. 15/154,997. |
Non-final Office Action dated Mar. 2, 2017, in U.S. Appl. No. 15/154,984. |
Notice of Allowance dated Feb. 14, 2017, in U.S. Appl. No. 15/154,979. |
Notice of Allowance dated Feb. 28, 2017, in U.S. Appl. No. 15/154,990. |
Notice of Allowance dated Mar. 2, 2017, in U.S. Appl. No. 15/154,998. |
Advisory Action dated Apr. 19, 2017, in U.S. Appl. No. 15/154,999. |
Advisory Action dated Apr. 20, 2017, in U.S. Appl. No. 15/154,980. |
Advisory Action dated Apr. 6, 2017, in U.S. Appl. No. 15/154,995. |
Advisory Action dated Mar. 31, 2017, in U.S. Appl. No. 15/154,996. |
Advisory Action dated May 3, 2017, in U.S. Appl. No. 15/154,993. |
Final Office Action dated Apr. 10, 2017, in U.S. Appl. No. 15/155,006. |
Final Office Action dated Jun. 23, 2017, in U.S. Appl. No. 15/154,997. |
Final Office Action dated May 15, 2017, in U.S. Appl. No. 15/155,010. |
Final Office Action dated May 4, 2017, in U.S. Appl. No. 15/155,009. |
Non-final Office Action dated Apr. 19, 2017, in U.S. Appl. No. 15/154,974. |
Notice of Allowance dated Jun. 19, 2017, in U.S. Appl. No. 15/154,980. |
Notice of Allowance dated Jun. 20, 2017, in U.S. Appl. No. 15/154,975. |
Notice of Allowance dated Mar. 31, 2017, in U.S. Appl. No. 15/154,998. |
Notice of Allowance dated May 10, 2017, in U.S. Appl. No. 15/154,988. |
Advisory Action dated Dec. 21, 2017, in U.S. Appl. No. 15/154,984. |
Breitbart, Update Propagation Protocols for Replicated Databases, SIGMOD '99 Philadelphia PA, 1999, pp. 97-108. |
Corrected Notice of Allowability dated Aug. 9, 2017, in U.S. Appl. No. 15/154,980. |
Corrected Notice of Allowability dated Jul. 31, 2017, in U.S. Appl. No. 15/154,999. |
Corrected Notice of Allowability dated Oct. 26, 2017, in U.S. Appl. No. 15/610,162. |
Decision on Pre-Appeal Conference Request dated Nov. 20, 2017, in U.S. Appl. No. 15/154,997. |
Final Office Action dated Dec. 29, 2017, in U.S. Appl. No. 15/154,974. |
Final Office Action dated Jul. 27, 2017, in U.S. Appl. No. 15/154,993. |
Kramer, The Combining DAG: A Technique for Parallel Data Flow Analysis, IEEE Transactions on Parallel and Distributed Systems, vol. 5, No. 8, Aug. 1994, pp. 805-813. |
Non-final Office Action dated Aug. 14, 2017, in U.S. Appl. No. 15/464,314. |
Non-final Office Action dated Dec. 13, 2017, in U.S. Appl. No. 15/608,963. |
Non-final Office Action dated Dec. 28, 2017, in U.S. Appl. No. 15/154,996. |
Non-final Office Action dated Dec. 28, 2017, in U.S. Appl. No. 15/796,230. |
Non-final Office Action dated Feb. 12, 2018, in U.S. Appl. No. 15/466,836. |
Non-final Office Action dated Feb. 15, 2018, in U.S. Appl. No. 15/813,112. |
Non-final Office Action dated Feb. 28, 2018, in U.S. Appl. No. 15/813,119. |
Non-final Office Action dated Jan. 4, 2018, in U.S. Appl. No. 15/583,777. |
Non-final Office Action dated Jul. 27, 2017, in U.S. Appl. No. 15/154,995. |
Non-final Office Action dated Nov. 15, 2017, in U.S. Appl. No. 15/654,461. |
Non-final Office Action dated Nov. 30, 2017, in U.S. Appl. No. 15/155,012. |
Non-final Office Action dated Oct. 5, 2017, in U.S. Appl. No. 15/428,145. |
Notice of Allowance dated Feb. 12, 2018, in U.S. Appl. No. 15/813,142. |
Notice of Allowance dated Feb. 26, 2018, in U.S. Appl. No. 15/428,145. |
Notice of Allowance dated Jul. 28, 2017, in U.S. Appl. No. 15/155,009. |
Notice of Allowance dated Mar. 1, 2018, in U.S. Appl. No. 15/464,314. |
Notice of Allowance dated Nov. 17, 2017, in U.S. Appl. No. 15/154,993. |
Notice of Allowance dated Oct. 6, 2017, in U.S. Appl. No. 15/610,162. |
Sobell, Mark G. “A Practical Guide to Linux, Commands, Editors and Shell Programming.” Third Edition, dated Sep. 14, 2012. Retrieved from: http://techbus.safaribooksonline.com/book/operating-systems-and-server-administration/linux/9780133085129. |
Number | Date | Country | |
---|---|---|---|
20160335323 A1 | Nov 2016 | US |
Number | Date | Country | |
---|---|---|---|
62161813 | May 2015 | US |