Databricks, Inc. patent applications on 2025-05-22
Patent Applications by Databricks, Inc. on May 22nd, 2025
Databricks, Inc.: 2 patent applications
Databricks, Inc. has applied for patents in the areas of G06F11/0757 (Responding to the occurrence of a fault, e.g. fault tolerance, 1), G06F16/24568 ({Data stream processing; Continuous queries}, 1)
With keywords such as: execution, system, interface, processor, configured, monitoring, includes, receive, indication, start in patent application abstracts.
Top Inventors:
- Alicja Luszczak of Amsterdam NL (1 patents)
- Srinath Shankar of Belmont CA US (1 patents)
- Shi Xin of San Francisco CA US (1 patents)
- Michael Paul Armbrust of Berkeley CA US (1 patents)
- Alexander Balikov of Kirkland WA US (1 patents)
Patent Applications by Databricks, Inc.
20250165324. Query Watchdog (Databricks, .)
Abstract: a system for monitoring job execution includes an interface and a processor. the interface is configured to receive an indication to start a cluster processing job. the processor is configured to determine whether processing a data instance associated with the cluster processing job satisfies a watchdog criterion; and in the event that processing the data instance satisfies the watchdog criterion, cause the processing of the data instance to be killed.
20250165477. PIPELINED EXECUTION DATABASE QUERIES PROCESSING STREAMING DATA (Databricks, .)
Abstract: a database system performs pipelined execution of queries that process batches of streaming data. the database system compiles a database query to generate an execution plan and determines a set of stages based on the execution plan. the database query processes streaming data comprising batches. a scheduler schedules pipelined execution stages of the database query. accordingly, the database system performs execution of a particular stage processing a batch of the streaming data in parallel with subsequent stages of the database query processing previous batches of the streaming data. the system further maintains watermarks for different stages of the database query.