Systems and methods for processing and reporting information and data, such as business information, and more particularly, to systems, software, hardware, products, and processes for use by businesses, individuals and other organizations to collect, process, distribute, analyze and visualize information, including, but not limited to, business intelligence, data visualization, data warehousing, and data mining. Real-time monitoring of web site interactions allows users to modify and fine-tune their websites to maximize value realized.

System, method, and computer program product for processing and visualization of information

Improved method of and apparatus for joining and aggregating data elements integrated within a relational database management system (RDBMS) using a non-relational multi-dimensional data structure (MDD). The improved RDBMS system of the present invention can be used to realize achieving a significant increase in system performance (e.g. deceased access/search time), user flexibility and ease of use. The improved RDBMS system of the present invention can be used to realize an improved Data Warehouse for supporting on-line analytical processing (OLAP) operations or to realize an improved informational database system or the like.

Relational database management system having integrated non-relational multi-dimensional data store of aggregated data elements

System, method and computer program product for processing a query are disclosed. Query processing includes partitioning the stored data into a plurality of partitions based on at least one vertex in the plurality of vertexes, storing at least another triple in the plurality of triples on the at least one node, assigning, based on the triple containing the at least one vertex, at least one partition in the plurality of partitions corresponding to the triple to at least one node in the plurality of nodes, and processing, based on the assigning, the query by processing the plurality of partitions.

Query Execution Systems and Methods

A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.

Method, system, and computer program product for concept-based multi-dimensional analysis of unstructured information

The present invention implements parallel processing in a Database Management System. The present invention provides the ability to locate transaction and recovery information at one location and eliminates the need for read locks and two-phased commits. The present invention provides the ability to dynamically partition row sources for parallel processing. Parallelism is based on the ability to parallelize a row source, the partitioning requirements of consecutive row sources and the entire row source tree, and any specification in the SQL statement. A Query Coordinator assumes control of the processing of a entire query and can execute serial row sources. Additional threads of control, Query Server, execute a parallel operators. Parallel operators are called data flow operators (DFOs). A DFO is represented as structured query language (SQL) statements and can be executed concurrently by multiple processes, or query slaves. A central scheduling mechanism, a data flow scheduler, controls a parallelized portion of an execution plan, and can become invisible for serial execution. Table queues are used to partition and transport rows between sets of processes. Node linkages provide the ability to divide the plan into independent lists that can each be executed by a set of query slaves. The present invention maintains a bit vector that is used by a subsequent producer to determine whether any rows need to be produced to its consumers. The present uses states and a count of the slaves that have reached these states to perform its scheduling tasks.

Method and apparatus for implementing parallel operations in a database management system

An “active cache”, for use by On-Line Analytic Processing (OLAP) systems, that can not only answer queries that match data stored in the cache, but can also answer queries that require aggregation or other computation of the data stored in the cache.

Active caching for multi-dimensional data sets in relational database management system

A database system includes a transaction rescheduling mechanism that reorders pending transactions based on whether one or more of the pending transactions conflict with any transactions that have been scheduled for execution. In one arrangement, the received pending transactions are stored in a first queue. The transactions that are scheduled for execution are stored in a second queue. The transactions are moved from the first queue to the second queue based on the reordering by the transaction rescheduling mechanism.

Rescheduling transactions in a database system

An On-Line Analytic Processing (OLAP) system computes complex expressions and aggregations in queries by re-using and sharing subparts of the expressions and aggregations. A dependency generation phase performed by the OLAP system identifies dependencies among metrics based on the expressions, aggregations, and other metrics used by the metrics. An access plan generation phase performed by the OLAP system generates an access plan based on the identified dependencies, wherein the access plan ensures that expressions, aggregations, and metrics are computed before they are needed, and that required values and intermediate results are passed up a tree structure of the access plan until they are used or consumed by some operator. An operator assignment phase performed by the OLAP system generates operators based on the access plan, and also generates project list expressions, aggregations to be computed in each operator, and input and output tuple types for each operator.

Shared computation of user-defined metrics in an on-line analytic processing system

An “active cache”, for use by On-Line Anaytic Processing (OLAP) systems, that can not only answer queries that match data stored in the cache, but can also answer queries that require aggregation or other computation of the data stored in the cache.

Method for determining the computability of data for an active multi-dimensional cache in a relational database management system

A parallel hash ripple join algorithm partitions tuples of two relations for localized processing. The algorithm is non-blocking and may be performed in a parallel, multi-processor environment. At each processing node, the tuples are further partitioned such that join operations may be performed as tuples are redistributed to each node during the partitioning.

Jeffrey F. Naughton

Papers

Active caching for multi-dimensional data sets in relational database management system

Rescheduling transactions in a database system

Shared computation of user-defined metrics in an on-line analytic processing system

Method for determining the computability of data for an active multi-dimensional cache in a relational database management system

Method and apparatus for performing hash join