Patent classifications
G06F16/2454
METHOD, DEVICE, SERVER AND STORAGE APPARATUS OF REVIEWING SQL
A method of reviewing SQL includes: obtaining slow log data; extracting a SQL sentence to be reviewed and basic information matched with the SQL sentence from the slow log data; identifying and parsing the SQL sentence to obtain a parsed result; reviewing the parsed result and/or the basic information in accordance with review items in a preset review template one by one to obtain a review result; and generating a review result set according to the review result.
MATERIALIZING INTERNAL COMPUTATIONS IN-MEMORY TO IMPROVE QUERY PERFORMANCE
Techniques are described for materializing computations in memory. In an embodiment, responsive to a database server instance receiving a query, the database server instance identifies a set of computations for evaluation during execution of the query. Responsive to identifying the set of computations, the database server instance evaluates at least one computation in the set of computations to obtain a first set of computation results for a first computation in the set of computations. After evaluating the at least one computation, the database server instance stores, within an in-memory unit, the first set of computation results. The database server also stores mapping data that maps a set of metadata values associated with the first computation to the first set of computation results.
Contention analysis for journal-based databases
An analytics tool of a journal-based multi-data-store database obtains respective rejection cause descriptors for a set of transactions rejected by the journal manager of the database due to read-write conflicts. A particular rejection cause descriptor indicates a query predicate used for a read set of a transaction request which was rejected by a journal manager of the database due to a read-write conflict between the read set and a previously-committed transaction. The analytics tool prepares a database contention analysis using the rejection cause descriptors, and transmits the analysis to a client.
Dynamic combination of processes for sub-queries
A tool for combining common processes shared by at least two or more sub-queries within a query is provided. The tool determines the query with the at least two or more sub-queries. The tool determines whether one or more sub set relationships are shared between the at least two or more sub-queries. Responsive to a determination that one or more sub set relationships are shared between the at least two or more sub-queries, the tool determines an order class for the at least two or more sub-queries based on the one or more sub set relationships. The tool determines an access path for the query. The tool executes the access path during run-time for data accessing.
METHODS AND SYSTEMS THAT GENERATE COMPONENT QUANTITIES FOR SYSTEM CONFIGURATIONS
The current document is directed to methods and systems that generate lists of component types and quantities needed for system installations based on parameter values that characterize the system, environment, and application domain, referred to as input values. An implementation of a private-5G-network component-type-and-quantity-determination system is disclosed. An initial model used to generate component types and quantities is generated from information acquired from various information sources, including system vendors, designers, and/or administrators. The initial model is used to generate lists of component types and quantities on behalf of requesting entities during an initial period of system operation. Over time, as the final types and quantities of components used for particular installations are determined and reported back to the system, the system uses these reported results to refine the initial model, generate more specific models for particular types or classes of system installations and to refine the more specific models.
Methods, systems, and media for interpreting queries
Mechanisms for interpreting queries are provided. In some implementations, a method for interpreting queries is provided, comprising: receiving a search query in a search domain; determining search terms based on the search query; determining, for each of the search terms, whether a search term corresponds to an entity name, wherein the entity name is derived from metadata associated with the search domain; in response to determining that entity names correspond to a portion of the search terms, determining an entity type and an entity score associated with each of the corresponding entity names; determining a remaining portion of the entity names by removing at least one of the matching entity names based on the entity score and contextual information in the search query; and performing a search in the search domain with the remaining portion of entity names, wherein each entity name in the remaining portion of entity names is searched corresponding to the associated entity type.
PREDICTIVE QUERY IMPROVEMENT
The present approach relates to improving query performance in a database context. Examples of query improvement are described in the context of certain query patterns, one or more of which may be observed in a given query. When a given query pattern is observed, changes may be made to the query at the application or database level to improve performance of the respective query. Query improvements may be performed in a manner transparent to the user.
EVALUATION OF PLURAL EXPRESSIONS CORRESPONDING TO INPUT DATA
An embodiment of the present invention evaluates plural expressions. A model is generated and configured to evaluate a plurality of expressions each including one or more expression tokens and indicating a data pattern. The model includes a plurality of nodes with one or more of the nodes associated with an expression token and one or more links between the nodes. The links are associated with information indicating each expression including each expression token associated with nodes connected by the links. Data including one or more data tokens is applied to the model. The nodes of the model are traversed over one or more corresponding links based on the one or more data tokens within the data corresponding to expression tokens associated with the nodes. Expressions corresponding to the data are determined based on the expressions associated with the one or more corresponding links.
QUERY LANGUAGE DISTRIBUTION HEURISTICS
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing local distribution heuristics. One of the methods includes receiving an original expression having a conjunction comprising a context term and a disjunction of a plurality of other terms. The context term and the disjunction are evaluated according to one or more local distribution heuristics to determine that the context term is a candidate for distribution across the disjunction of the plurality of other terms. In response, a transformed expression is generated in which the candidate context term is distributed across the disjunction of the plurality of other terms.
Database creation and collision reduction
A system, method, and computer-readable medium for proving feedback on database instructions, identifying, for example, existing patterns and providing suggested replacement instructions. This may have the effect of improving the efficiency of instructions used to create and/or manipulate databases. According to some aspects, these and other benefits may be achieved by parsing received instructions into an organizational structure, traversing the organizational structure for known patterns, and suggesting replacement patterns. In implementation, this may be effected by receiving one or more sets of known patterns and corresponding replacement patterns, parsing received instructions, comparing the known patterns with the parsed instructions, and providing suggested replacement patterns based on one or more known patterns matching the parsed instructions. A benefit of may include reducing Cartesian products during the merging of tables.