Databricks Inc.

Mukul Murthy

Michael Paul Armbrust

Andreas Neumann

Jonathan Mio

Yannis Papakonstantinou

Vuk Ercegovac

Nitin Sharma

Xi Liang

Joseph Torres

John Sismanis

Min Yang

Paul Lappas

A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.

Incremental execution of extract, transform, load process using microtechniques architecture

A system for dataflow graph processing comprises a communication interface and a processor. The communication interface is configured receive an indication to generate a dataflow graph, wherein the indication includes a set of queries and/or commands. The processor is coupled to the communication interface and configured to: determine dependencies of each query in the set of queries on another query; determine a DAG of nodes based at least in part on the dependencies; determine the dataflow graph by determining in-line expressions for tables of the dataflow graph aggregating calculations associated with a subset of dataflow graph nodes designated as view nodes; and provide the dataflow graph.

Dataflow graph processing

A system for dataflow graph processing comprises a communication interface and a processor. The communication interface is configured receive an indication to generate a dataflow graph, wherein the indication includes a set of queries. The processor is coupled to the communication interface and is configured to: determine dependencies of each query in the set of queries on another query; determine a DAG of nodes based at least in part on the dependencies; insert a node in the DAG of nodes to generate an updated DAG to enforce an expectation; determine a dataflow graph based on the updated DAG; and provide the dataflow graph.

Dataflow graph processing with expectations

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San Francisco, CA, United States of America

Mukul Murthy