Abstract: The disclosed embodiments provide a system for processing data. During operation, the system stores a conversation containing a series of messages exchanged among a number of participants in a first document containing metadata for the conversation; a second document containing message content for the series of messages, wherein the message content includes a fixed position gap between starting or ending positions in consecutive messages in the series of messages; and one or more additional documents storing message metadata for individual messages in the conversation. Next, the system processes a first search across the series of messages in the conversation using an index of the set of documents. The system also processes, using the index, a second search within individual messages in the series of messages as a span query with a distance that is shorter than the fixed position gap.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system stores a conversation containing a series of messages exchanged among a number of participants in a first document containing metadata for the conversation; a second document containing message content for the series of messages, wherein the message content includes a fixed position gap between starting or ending positions in consecutive messages in the series of messages; and one or more additional documents storing message metadata for individual messages in the conversation. Next, the system processes a first search across the series of messages in the conversation using an index of the set of documents. The system also processes, using the index, a second search within individual messages in the series of messages as a span query with a distance that is shorter than the fixed position gap.

Abstract: A system, method, and apparatus are provided for propagating a status among related events. A relationship component of the system maintains a graph of the related events and, upon assignment of a status to an event identifies one or more related events (e.g., the root event, other ancestor events, descendant events). A retention component of the system includes multiple nodes that maintain user records (e.g., sharded by user identifier) storing events associated with the members and that also maintain separate event status tables to identify statuses of selected events. For example, an event status table may store statuses of root events and/or other ancestor events from which a given subsequent event may inherit or derive a status. An event status may reflect a quality or characteristic of the event (e.g., spam, low quality, language of the event), a status of the associated user (e.g., fame, level of influence), etc.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system retrieves, from a nearline data store, one or more updates representing recent activity for a member of an online network. Next, the system performs one or more queries using data in the updates to identify a set of candidates for recommending to the member. The system then applies one or more machine learning models to features for the set of candidates to generate a ranking of the set of candidates and updates the ranking based on additional features for an additional set of candidates from an offline data store. Finally, the system outputs, to the member, at least a portion of the updated ranking as connection recommendations in the online network.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system stores a set of feed updates associated with a set of entities in descending chronological order within a set of resizable blocks. For each entity in the set of entities, the system generates an index containing one or more lists of resizable blocks storing a subset of the feed updates associated with the entity, wherein the one or more lists are sorted in descending chronological order. The system then uses the index to generate a content feed containing a selection of the feed updates for outputting to a viewer.

Abstract: A system, method, and apparatus are provided for propagating a status among related events. A relationship component of the system maintains a graph of the related events and, upon assignment of a status to an event identifies one or more related events (e.g., the root event, other ancestor events, descendant events). A retention component of the system includes multiple nodes that maintain user records (e.g., sharded by user identifier) storing events associated with the members and that also maintain separate event status tables to identify statuses of selected events. For example, an event status table may store statuses of root events and/or other ancestor events from which a given subsequent event may inherit or derive a status. An event status may reflect a quality or characteristic of the event (e.g., spam, low quality, language of the event), a status of the associated user (e.g., fame, level of influence), etc.