2116 results about "Query language" patented technology

A system and methods are provided for interactive construction of data queries. One method comprises: generating a query based upon a plurality of user-identified data items, wherein the user-identified data items are data items representing desired results from a query, and wherein information related to the user-identified data items is included in a “given” clause of the query, assigning received input data to a hierarchical set of categories, presenting to a user a plurality of new query results, wherein the plurality of new query results are determined by scanning the received input data to find data elements in the same hierarchical categories as those in the “given” query clause and not in the same hierarchical categories as those of an “unlike” clause of the query, receiving from the user an indication as to whether each query result of the presented plurality of new query results is a desirable query result, adding query results indicated by the user as desirable to the “given” clause of the query, adding query results indicated by the user as undesirable to the “unlike” clause of the query, evaluating a metric indicative of the accuracy of the query, and responsive to a determination that the query achieves a predetermined threshold level of accuracy, storing the query.

Techniques are provided for processing a query including receiving the query, where the query specifies certain operations; determining that the query includes a first portion in a first query language and a second portion in a second query language; generating a first in-memory representation for the first portion; generating a second in-memory representation for the second portion; generating a third in-memory representation of the query based on the first in-memory representation and the second in-memory representation; and performing the certain operations based on the third in-memory representation.

Query objects are created by a client process. The query objects have one or more sub-query objects and one or more execute methods that are capable of operating on their respective query object to produce one or more query expressions. All of the execute methods are capable of producing the respective query expression that is compatible with a structured query language. A compound query contains one or more boolean expressions of one or more of the query objects. The compound query has one or more compound execute methods which invoke one or more the execute methods of each of the query objects. Each of the execute methods returns their respective query expression and the compound execute method uses one or more common table expressions to combine the query expressions to form a single compound query expression that represents the boolean expression. This single expression can be execute against a database to return a result without executing any of the query expressions against the database individually.

The present invention relates to a system (10) for generating and maintaining virtual and physical metadata layers in a MetaBase metadata repository (110b) in order to simplify and optimize the retrieval of data from a plurality of disparate information sources (130a-130c). The system stores in a physical metadata layer of a MetaBase metadata repository a plurality of physical metadata elements, wherein each one of the physical metadata elements corresponds to the metadata elements in the plurality of information sources. Logical metadata elements are stored in the virtual metadata layer and are linked to the physical metadata elements in order to maintain the relationships therebetween. By maintaining the relationships between the physical metadata elements, users can initiate a data query request for data corresponding to a logical metadata element, and the system is configurated to retrieve the desired data from the relevant information sources, even in the event that relevant information sources maintain the data in fields having different data field names, that the information sources employ incompatible data formats, and that the relevant information sources employ different query languages.

A system, method, and apparatus are directed to managing a subscription to an RSS feed. A search component enables searching over a network for content associated with an RSS feed. In one embodiment, the search component receives a search query in the form of a structured query language (SQL), Boolean expression, or the like. The search component may search for content based on the search query and validate the RSS feed associated with the results from the search. A list of validated RSS feeds may be sent to the user. The user may then select from the list and subscribe to a validated RSS feed. In addition, the user may employ the search query as an RSS feed. Thus, the same search may be performed automatically and the results compared to the previous search results. If a change in the search results is detected, the user may be alerted.

A framework is provided for management of models. Management of data models or other types of models includes model change comparison and change implementation. For example, in the context of data warehouse models, model components and their process interactions are captured in a form such that different versions of a model can be automatically compared and any changes between versions determined. The framework provides the capability of capturing a model definition down to the level of an individual object and the semantics and relationships of each object. A model is represented and stored as a set of (1) unique object identifiers, (2) object metadata signatures that represent the semantics of objects, and (3) object relationships. Such model information can be stored in a relational database, against which a query, such as an SQL (Structured Query Language) query, can be executed to determine whether two models differ.

A database system providing SQL extensions for automated encryption and decryption of column data is described. In one embodiment, for example, in a database system, a method is described for providing automated encryption support for column data, the method comprises steps of: defining Structured Query Language (SQL) extensions for creating and managing column encryption keys, and for creating and managing database tables with encrypted column data; receiving an SQL statement specifying creation of a particular column encryption key; receiving an SQL statement specifying creation of a database table having particular column data encrypted with the particular column encryption key; and in response to a subsequent database operation that requires the particular column data that has been encrypted, automatically decrypting the particular column data for use by the database operation.

A computer system provides the ability to construct and edit a Data Definition File (DDF) containing hierarchically related elements of data, some of which are dynamic in that they must execute in order to produce or retrieve data. A client computer system having knowledge of a DDF appropriate for its uses sends a request to a server, which contains or can retrieve the DDF requested by the client. The request contains parameters used by the server to customize the resulting keyed data file for the client's purposes. Upon receipt of the request, the server copies the DDF into a coupled memory, performs requested parameter substitutions, and executes dynamic elements to produce resulting data elements. The process is repeated recursively for all elements of the hierarchical structure, until no dynamic elements remain, then the resulting keyed data file is returned to the client for its uses. Data elements may be derived from a plurality of sources, and these sources may be combined and manipulated using a plurality of data operations, including relational algebra or structured query language, enabling joins and merges between multiple sources and formats. An Authoring System is provided which assists in the construction and validation of DDFs.

A system and method for creating virtual “flat” customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database “views” that are defined using virtual stored queries and enabled using capabilities of a data base management system and a structured query language. The CAR is preferably a virtual “flat” record of the customer data needed for customer analytics. The customer data may be extracted by running one or more SQL queries against the database view(s). The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. If additional variables are created, the CAR may be modified to include the additional variables. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

An event processor can use event processing queries to operate an event. Event processing queries can include a “retain” clause that limits the amount of data over which the query is run.

The present invention provides an automated data warehousing and OLAP cube building process. The invention allows a person who is not a database query language expert to build validated data warehouses, and OLAP cubes based on such data warehouses.

An event processor can use event processing queries to operate an event. Event processing queries can include a “retain” clause that limits the amount of data over which the query is run.

A database system providing encrypted column data support with decrypt default functionality. In a database system, a method providing automated encryption support for column data comprises steps of: defining Structured Query Language (SQL) extensions for creating and managing column encryption keys and database tables with encrypted column data; receiving an SQL statement specifying creation of a column encryption key; receiving an SQL statement specifying creation of a database table having particular column data encrypted with the column encryption key; receiving an SQL statement specifying a default value to be provided in response to requests for the column data without decrypt permission; in response to a subsequent database operation requesting encrypted column data from a user with decrypt permission, automatically decrypting the column data; and in response to a subsequent database operation requesting the encrypted column data from a user without decrypt permission, returning the default value.

A system and method for providing a web portal for managing litigation activities is described. The system includes a portal computing device having a customized collaborative web portal server application (e.g., Microsoft Office SharePoint Server 2007 plus customized web parts for a preservation notice feature), and a user computer operatively coupled to the portal computing device, where the user computer includes a user interface of a web browser and is adapted to display a hierarchy of interlinked portal web pages provided by the portal computing device. The system also includes a structured query language server adapted to populate the hierarchy of interlinked portal web pages with custodian information and with litigation-related data in order to facilitate managing litigation activities.

A computer readable storage medium includes executable instructions to define a map-reduce document that coordinates processing of data in a distributed database. The map-reduce document complies with a map-reduce specification that integrates map-reduce functions with queries in a query language. The operations specified by the map-reduce document are executed in the distributed database.

A usage model and the underlying technology used to provide sequence analysis as part of a relational database system. Included components include the semantic and syntactic integration of the sequence analysis with an existing query language, the storage methods for the sequence data, and the design of a multipart execution scheme that runs the sequence analysis as part of a potentially larger database query, especially using parallel execution techniques.

A system generates linked sets of drill-down-enabled reports of increasing levels of detail from one or more databases. Linking relationships between reports are defined using the query language of the databases. Result sets are obtained that includes (1) the sought-after data, and (2) metadata that identifies drill-down reports to be generated if related report elements are selected. When the query is executed, the system passes the sought-after data to a reporting application programming interface, which generates a report (e.g., a pie chart, 3-D bar chart, cross-tabbed table). If an end-user selects one of the report elements (e.g., a bar on the chart), the system maps the reported event to the associated data of the result set. If the associated data has corresponding meta-data containing a drill-down directive, the system then generates the report identified by the drill-down directive.

A large open database of information has entries for commonly understood data, such as people, places and objects, which are referred to as topics. The database has a type system and contains attributes and relationships between topics. The invention also comprises a powerful query language and an open API to access the data and a website where contributors can update the data or add new topics and relationships. The elements of the invention comprise a scalable graph database, a dynamic user contributed schema representation, a tree-based object / property query language, a series of new Web service APIs, and set of AJAX dynamic HTML technologies.

Embodiments of the invention provide data management solutions that go beyond the traditional warehousing system to support advanced analytics. Furthermore, embodiments of the invention relate to systems and methods for extracting data from an existing data warehouse, storing the extracted data in a reusable (intermediate) form using data parallel and compute parallel techniques over cloud, query processing over the data with / without compute parallel techniques, and providing querying using high level querying languages.

The present invention provides a method, system, and computer program product for adaptive database buffer memory management using dynamic Structured Query Language (SQL) statement cache statistics. The method comprises: using SQL statement cache statistics to infer page re-use. The method further comprises: determining a use ratio of an SQL statement; comparing the use ratio of the statement to a threshold value; if the use ratio is less than the threshold value, setting a reclaim page attribute of the statement indicating a low likelihood of page re-use of pages referenced by the statement; and, if the reclaim page attribute of the statement is set: setting a quick reclaim attribute of each page read from disk by the statement; and after each page is released by the statement, placing the page in a buffer pool free list, wherein a memory location of the page in a buffer pool memory is immediately available for re-use.

A database structure of a sort defined by an access and query language that defines tables of variables having labels and field characteristics, such as ANSI structured query language (SQL), is modified by determining the structural differences between an existing schema and a new schema, independent of database contents. The differences are processed to generate commands that are then applied to evolve an existing database from the old schema or structure to the new one. This avoids the need to dump and restructure the contents of the old database for reload into an empty new database that has been prepared to meet the new schema.

Embodiments of the present invention provide an ad-hoc query engine. The ad-hoc query engine comprises a query management module, a metadata module, a data cache module and a viewer module. The query management module receives a query request from a client device. The query request is specified in terms of a plurality of business objects. The query management module utilizes the metadata module to translate the business objects into a structured query language statement as a function of the content of the data cache module. The SQL statement comprises a plurality of aggregation. The query management module dynamically causes each aggregation to be re-directed to execute against the content of the data cache module, when the aggregation is locally or linearly computable from said content of said data cache module. The query management utilizes the viewer module to generate a report as a function of the results of the executed SQL statement.

Techniques for managing risks with continuous queries are provided. In some examples, a selection of a data object enabled to provide a real-time stream of business event data may be received. The selection may be received by a user associated with the business event data. Additionally, a continuous query language query may be generated. The query may be configured to monitor the real-time stream of business event data for a first metric. In some examples, the a risk indicator associated with a second metric that affects the first metric may be identified. Output events of a pre-existing continuous query language query may be listened to. Further, a real-time visualization of the first metric and / or the second metric may be provided.

A computer implemented method, apparatus, and computer usable program code for automatically generating a query. Data and occurrence is described using a sequence type. The data and occurrence from the sequence type are matched to a sequence type pattern. Sentences in a query language are generated automatically using the sequence type pattern for testing an ability of a query processing engine to interpret queries.

A method for publishing relational data as XML by translating XML queries into queries against an relational database. Conversion of the relational database into an XML database is not required. Each relational table is mapped to a virtual XML document, and XML queries are issued over these virtual documents. An XML query is parsed and transformed into a language-neutral intermediate representation, which is a sequence of operations describing how the output document is derived from the underlying relational tables. The intermediate representation is then translated into an SQL query over the underlying relational tables and into instructions for a tagger. The SQL query is executed, and the SQL query results are then fed into the tagger, which follows tagger instructions to generate the marked up output.

A computing system uses neural networks to translate natural language queries to database queries. The computing system uses a plurality of machine learning based models, each machine learning model for generating a portion of the database query. The machine learning models use an input representation generated based on terms of the input natural language query, a set of columns of the database schema, and the vocabulary of a database query language, for example, structured query language SQL. The plurality of machine learning based models may include an aggregation classifier model for determining an aggregation operator in the database query, a result column predictor model for determining the result columns of the database query, and a condition clause predictor model for determining the condition clause of the database query. The condition clause predictor is based on reinforcement learning.

The invention relates to the technical field of information, and particularly discloses a method for integrating and exchanging data on the basis of unique identification. The method includes building data element management models for business required to be integrated, exchanged and shared, and uniquely identifying each data item in each data element management model; mapping the identification in the data element management models with fields of multi-source heterogeneous databases; generating corresponding target SQL (structured query language) statements according to the fields corresponding to the identification; accessing the multi-source heterogeneous databases, executing the target SQL statements and returning result sets; fusing and processing the result sets by the aid of fusion algorithms. The method has the advantages that conflict examples in heterogeneous data sources can be effectively recognized and fused by the aid of the method, and accordingly data integration / data fusion effects can be improved on high level; the data exchange and integration accuracy can be effectively improved, and the data integration and exchange efficiency can be greatly enhanced.

A data management apparatus for digital advertising includes a data integration processor for collecting and storing data from providers, resolving heterogeneity of the data at schema and data levels, and performing validity checks of the data; an analytics processor for receiving validated data from the data integration processor and providing to users custom, nesting-aware, SQL-like query language and a library of data mining methods, machine learning models, and analytical user profiles (AUP); and an activation processor for encapsulating complex computations performed in real-time, segment evaluation, and online user classification using runtime user profiles (RUP).

A computer system executing a method for performing reusable software application development comprises integrating a data processing system, providing a set of keywords and attributes, and declaring a set of executable specifications using the keywords and attributes, further comprising generating a program code, instantiating an object code, generating a testable functionality result, generating at least one unit test, generating an implementation documentation output, generating a performance statistics output, and generating a project metrics in the data processing system. The step of providing a set of keywords and attributes comprises generating a set of user interface forms, fields, and validation rules, generating a library of structured query language statements, generating a library of rules for generating dynamic structured query language statements, generating one of a web browser report, a file-based report, and a portable document format report, generating a library of security rules and permission statements, and generating database schemata.