Snowflake Inc.

Jonathan Lee Leang

Igor A Zinkovsky

Ju-yi Kuo

Isaac Kunen

Saurin Shah

Polita Paulus

Edward Ma

Elliott Brossard

Sukruth Komarla Sukumar

Schuyler James Manchester

Selcuk Aya

Nitya Kumar Sharma

A method to access data includes generating, by at least one hardware processor, a user-defined function (UDF). The UDF includes a file reference object corresponding to at least one file and a file operation configuration. The at least one file is retrieved based on a UDF call into the UDF. The retrieving is further based on the file reference object. A compression status of the at least one file is determined. The UDF call is processed to generate result data using the at least one file. The processing of the UDF call is based on the compression status and the file operation configuration.

Accessing data using a user-defined function (UDF)

Techniques for accessing data objects using UDF streams include decoding by at least one hardware processor of a first computing node, a first request for a UDF. The first request is generated at a second computing node by one of a plurality of input streams of the UDF. A second request for one or more data objects associated with the UDF is generated at the first computing node using an execution thread assigned to the first request. An authorization of the execution thread is performed using data access rights assigned to the first request. The one or more data objects are retrieved based on the authorization in response to the second request. The one or more data objects are stored in a storage location accessible by the execution thread.

Accessing data objects using user defined function (UDF) streams

A method includes decoding, by at least one hardware processor, a request for a user-defined function (UDF). The request includes a reference to one or more files. The method further includes generating, by the at least one hardware processor, the UDF based on the request. The UDF includes a file reference object with file path information corresponding to the reference. The file path information identifies a file path to the one or more files. A UDF call into the UDF is detected. The UDF call specifies the file path information. The UDF call is processed to generate result data using the one or more files.

Accessing data using a file reference-based user defined function

Systems and methods for caching file system collections atomically. The systems and methods perform operations comprising: receiving a request to access a collection of data comprising a plurality of files stored on a storage device; in response to receiving the request, transferring the collection of data from the storage device to a first subfolder in a cache associated with the storage device; generating a lock file comprising a reference to the first subfolder in the cache; and atomically controlling access to the collection of data in the first subfolder and removal of the collection of data in the first subfolder from the cache via the lock file.

Atomic cache management of file collections

A file access system for user defined functions (UDFs) can be implemented on a distributed database system. The system can store UDF signatures and interfaces (e.g., classes, sub-classes) that can be called by other users. Upon a UDF being called, one or more interface objects (e.g., InputStream) can be created and requests transferred to a execution node via a network channel. The execution node can implement multiple threads that are authorized and download file data from a staging location (e.g., internal stage, external stage) concurrently.

Accessing files in a database stage using a user defined function

A file access system for user defined functions (UDFs) can be implemented on a distributed database system. The system can store UDF interfaces and file reference objects that can be called by other users. Upon a UDF being called, files on a stage, one or more interface objects (e.g., InputStream), and file reference objects can be implemented by execution nodes of the distributed database system. The execution nodes can implement multiple threads that are authenticated and can download file data from a staging location concurrently.

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Seattle, WA, United States of America

Jonathan Lee Leang