Abstract: Systems, methods, and computer-readable media for asynchronous (async) querying are described. In embodiments, an application server obtains a user-issued query comprising one or more query components; identifies data space characteristics of a data storage space associated with a user that issued the user-issued query; and analyzes the one or more query components to obtain performance data. The performance data is indicative of resource consumption for execution of the user-issued query. The application server selects a query execution engine to execute the user-issued query from among a plurality of query execution engines, and provides the user-issued query to the selected query execution engine. The selection is based on the data space characteristics and the performance data. Other embodiments may be described and/or claimed.

Abstract: Methods and systems are provided for deleting archive records from a distributed archive database system (DADS). A deletion job scheduler (DJS) can run deletion jobs on a regular basis. For example, the DJS can run a deletion job for archive records of a tenant that have a particular object type. The DJS can dynamically determine a deletion window that includes archive records within the DADS that are potentially eligible for deletion, and calculate an oldest allowable archive timestamp value based on a tenant-defined archive retention period for that tenant for that object type. The DJS can then query the DADS using index keys to retrieve archive records that are within the deletion window and belong to the tenant such that they are ordered from oldest to newest based on their respective created dates. The DJS can then identify which of those archive records have expired, and mark them for deletion.