Abstract: Systems and methods for generating transient object references are provided. The systems and methods perform operations including establishing a session between a first entity and a second entity. The operations include identifying an object that the first entity is authorized to access according to a first set of access privileges. The operations include generating a reference associated with the object. The operations include temporarily authorizing the second entity to access the object using the reference according to a second set of access privileges, the second set of access privileges being derived from the first set of access privileges.

Abstract: A constraint system enforces projection constraints on data values stored in specified columns of a shared dataset when queries are received by a database system. A projection constraint identifies that the data in a column may be restricted from being projected (e.g., presented, read, outputted) in an output to a received query, while allowing specified operations to be performed on the data and a corresponding output to be provided. For example, the projection constraint may indicate a context for a query that triggers the constraint, such as based on the user that submitted the query. Enforcing projection constraints on queries received at the database system allows for data to be shared and used anonymously by entities to perform various operations without the need to tokenize the data.

Abstract: A system for enforcing projection constraints on data values stored in specified variables of a shared dataset of a cloud data platform. A request is received from a first account of the cloud data platform that identifies a first operation to be performed on the shared dataset. A first set of data, including data accessed from a first variable, is accessed from the shared dataset to use in performing the first operation. A projection constraint policy attached to the first variable of the shared dataset is determined, and the projection constraint policy is further determined to be enforced based on the request. Based on the first set of data and the first operation, an output to the first request is generated.

Abstract: A constraint system enforces projection constraints on data values stored in specified columns of a shared dataset when queries are received by a database system. A projection constraint identifies that the data in a column may be restricted from being projected (e.g., presented, read, outputted) in an output to a received query, while allowing specified operations to be performed on the data and a corresponding output to be provided. For example, the projection constraint may indicate a context for a query that triggers the constraint, such as based on the user that submitted the query. Enforcing projection constraints on queries received at the database system allows for data to be shared and used anonymously by entities to perform various operations without the need to tokenize the data.

Abstract: A hybrid-sharded index includes document-sharded posting lists and term-sharded posting lists. Implementations include systems and methods for updating a hybrid-sharded index. For example, a method may include receiving updates to the hybrid-sharded index and generating, at a first leaf node, replacement posting lists and change information for a respective second leaf node. The method may also include dividing the replacement posting lists into portions, a portion having associated change information and being associated with a respective one of the second leaf nodes and sending the portions to respective leaf nodes. At a particular leaf node of the second leaf nodes, the method includes merging a received portion into an updated posing list portion, swapping the updated posting list portion into memory. During the swap, the change information and the updated posting list portion are used to respond to a query with an older version of the hybrid-sharded index.

Abstract: A hybrid-sharded index includes document-sharded posting lists and term-sharded posting lists. Implementations include systems and methods using a distributed hybrid-sharded index. For example, a method may include receiving, at a root node, a query having a first term and a second term and determining, that the first term is term-sharded. The method may also include retrieving a term-sharded posting list for the first term from a first leaf node that stores the term-sharded posting list and determining, at the root node, a second leaf node that stores a document-sharded posting list for the second term. The method may include sending the second term and a sub-set of documents from the term-sharded posting list to the second leaf node, the sub-set being documents assigned to the second leaf node; and generating a search result using a response received from the second leaf node.

Abstract: A system and method of indexing a plurality of entities located in a taxonomy, the entities comprising sets of terms, comprises receiving terms in an index structure; building a posting list for an entity with respect to the locations of the set of terms defining the entity and data associated with the respective terms; and indexing a name of a group comprising the entities within this group at the location of the entities with the data of the group comprising the name of the respective entity at each location. The building of the posting list comprises storing the location of the term and data associated with the term in an entry in the posting list for the term. The method comprises indexing aliases of the name of the group comprising the term, and using an inverted list index to associate data with each occurrence of an index term.

Abstract: The embodiments of the invention provide a systems, methods, etc. for adaptive content processing and classification in a high-availability environment. More specifically, a system is provided having a plurality of processing engines and at least one server that classifies data objects on the computer system. The classification includes analyzing the data objects for the presence of a type of content. This can include assigning a score corresponding to the amount of the type of content in each of the data objects. Moreover, the server can remove a data object from the computer system based on the results of the analyzing. The results of the analyzing are stored and the computer system is updated with feedback information. This can include allowing a user to review the results of the analyzing and aggregating reviews of the user into the feedback information.

Abstract: Systems and methods for multi-dimensional aggregation. Exemplary embodiments include a method for retrieving data from an inverted list index within a computer system, wherein the index comprises annotated postings, the method including receiving a query in a system, converting the query into a query language, scanning at least one list of postings for data from the query, aggregating the data in the list, thereby resulting in an aggregated list, wherein the aggregating includes recording the occurrence of unique values from the list, mapping the values using a user-provided definition to an alternate value, grouping the values by a user-provided mapping of values to groups, recording and mutating data associated with the unique value in the list, relating the recorded data values with other values in the index and returning the requested data from the aggregated list in a return format.

Abstract: Systems and methods for multidimensional aggregation. Exemplary embodiments include a method for retrieving data from an inverted list index within a computer system, wherein the index comprises annotated postings, the method including receiving a query in a system, converting the query into a query language, scanning at least one list of postings for data from the query, aggregating the data in the list, thereby resulting in an aggregated list, wherein the aggregating includes recording the occurrence of unique values from the list, mapping the values using a user-provided definition to an alternate value, grouping the values by a user-provided mapping of values to groups, recording and mutating data associated with the unique value in the list, relating the recorded data values with other values in the index and returning the requested data from the aggregated list in a return format.

Abstract: Systems and methods for multi-dimensional aggregation. Exemplary embodiments include a method for retrieving data from an inverted list index within a computer system, wherein the index comprises annotated postings, the method including receiving a query in a system, converting the query into a query language, scanning at least one list of postings for data from the query, aggregating the data in the list, thereby resulting in an aggregated list, wherein the aggregating includes recording the occurrence of unique values from the list, mapping the values using a user-provided definition to an alternate value, grouping the values by a user-provided mapping of values to groups, recording and mutating data associated with the unique value in the list, relating the recorded data values with other values in the index and returning the requested data from the aggregated list in a return format.

Abstract: The embodiments of the invention provide a systems, methods, etc. for adaptive content processing and classification in a high-availability environment. More specifically, a system is provided having a plurality of processing engines and at least one server that classifies data objects on the computer system. The classification includes analyzing the data objects for the presence of a type of content. This can include assigning a score corresponding to the amount of the type of content in each of the data objects. Moreover, the server can remove a data object from the computer system based on the results of the analyzing. The results of the analyzing are stored and the computer system is updated with feedback information. This can include allowing a user to review the results of the analyzing and aggregating reviews of the user into the feedback information.