Abstract: A cloud resource join query for join operations across cloud resources is parsed to extract join rules and queries to each cloud resource in the cloud resource join query. Results from the individual cloud queries are dynamically indexed based on pairs of cloud resources indicated in the join rules. A search engine applies first order predicates in the join rules using the dynamic indexes to generate pairwise join results corresponding to the query. A result for the cloud resource join query comprises the pairwise join results after merging.

Abstract: Dynamic partitioning of a search space of queries is implemented for flexible, heuristic database querying. Search space partitioning refers to dividing the search space for a submitted query into smaller parts by augmenting the queries to append thereto an additional predicate comprising a dynamic partition key and a value(s) selected based on heuristics (e.g., recency and/or relevancy of the value(s)). A plurality of candidate augmentations of the query and corresponding query plans are generated and evaluated based on additional heuristics to determine which can be executed to yield the best results in terms of result quality and latency. This query plan is selected and executed for retrieval of results that satisfy the query, with pagination utilized for presentation of the results. The procedure of generating candidate query plans, selecting one of the candidates for execution, and paginating results is repeated until a search termination criterion is satisfied.

Abstract: Dynamic partitioning of a search space of queries is implemented for flexible, heuristic database querying. Search space partitioning refers to dividing the search space for a submitted query into smaller parts by augmenting the queries to append thereto an additional predicate comprising a dynamic partition key and a value(s) selected based on heuristics (e.g., recency and/or relevancy of the value(s)). A plurality of candidate augmentations of the query and corresponding query plans are generated and evaluated based on additional heuristics to determine which can be executed to yield the best results in terms of result quality and latency. This query plan is selected and executed for retrieval of results that satisfy the query, with pagination utilized for presentation of the results. The procedure of generating candidate query plans, selecting one of the candidates for execution, and paginating results is repeated until a search termination criterion is satisfied.

Abstract: A cloud resource join query for join operations across cloud resources is parsed to extract join rules and queries to each cloud resource in the cloud resource join query. Results from the individual cloud queries are dynamically indexed based on pairs of cloud resources indicated in the join rules. A search engine applies first order predicates in the join rules using the dynamic indexes to generate pairwise join results corresponding to the query. A result for the cloud resource join query comprises the pairwise join results after merging.

Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.

Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.

Abstract: A JavaScript Object Notation (“JSON”) query parser parses cloud database JSON queries with first order logic. A compiler-compiler generates the JSON query parser using a representation of a context-free grammar with first-order logic. An information retrieval model generator generates information retrieval models for cloud resources in the cloud database based on known JSON queries and query responses to the cloud database. The JSON query parser generates parse trees from the JSON queries and identifies cloud resources for the JSON queries. Subsequently, the JSON query parser uses the parse trees to extract JSON object paths from the corresponding information retrieval models and the JSON object paths go into a cloud database query.

Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.

Abstract: A cloud resource join query for join operations across cloud resources is parsed to extract join rules and queries to each cloud resource in the cloud resource join query. Results from the individual cloud queries are dynamically indexed based on pairs of cloud resources indicated in the join rules. A search engine applies first order predicates in the join rules using the dynamic indexes to generate pairwise join results corresponding to the query. A result for the cloud resource join query comprises the pairwise join results after merging.

Abstract: A JavaScript Object Notation (“JSON”) query parser parses cloud database JSON queries with first order logic. A compiler-compiler generates the JSON query parser using a representation of a context-free grammar with first-order logic. An information retrieval model generator generates information retrieval models for cloud resources in the cloud database based on known JSON queries and query responses to the cloud database. The JSON query parser generates parse trees from the JSON queries and identifies cloud resources for the JSON queries. Subsequently, the JSON query parser uses the parse trees to extract JSON object paths from the corresponding information retrieval models and the JSON object paths go into a cloud database query.