Snowflake Inc.

Tyson J Hamilton

Steven Parkes

Xie Xu

Subramanian Muralidhar

Damien Carru

Unmesh Jagtap

Xiaodi Ke

Haroldo Level

Pui Kei Johnston Chu

James Pan

Qinye Li

James G Pan

Disclosed is an execution information sharing system that writes execution information to a provider target (and other targets) in a secure manner. Execution information generated by an application may be written to a consumer stage, wherein the application is shared by a provider account of a data exchange with a consumer account that executes the application. A consumer exchange service (ES) of the data exchange may send a request to a copy service of the data exchange to copy the execution information from the consumer stage to the provider stage, wherein the consumer ES is a part of the data exchange and is protected from actions of the consumer account. A copy operation may be executed to copy the execution information from the consumer stage to the provider stage using the copy service of the data exchange. The execution information is ingested from the provider stage to a provider table.

Sharing events and other metrics in native applications

A system includes at least one hardware processor and at least one memory storing instructions that cause the at least one hardware processor to perform operations. The operations include configuring a processing stack in an execution node process. The processing stack includes a telemetry application programming interface (API). At least one configuration of a trace event is retrieved using an API call received by the execution node process. Telemetry information of the trace even is collected using the telemetry API based on the at least one configuration. An event table is updated based on the telemetry information.

Trace events in a database system

Disclosed is an execution information sharing system that duplicates execution information to a provider target (and other targets) as it is being loaded to a consumer target. A first log information object and a second log information object are generated. The first and second log information objects comprise information indicating a consumer target and information indicating a provider target respectively where execution information generated by an application shared with a consumer account of a data exchange is written. A first event unloader and a second event unloader are generated based on the first and second log information objects respectively, wherein the first and second event unloaders are both linked to the application using a mapping. In response to receiving execution information from the application, the execution information is forwarded to the consumer target and the provider target using the first event unloader and the second event unloader respectively.

Provided herein are systems and methods for configuring trace events. A system includes at least one hardware processor coupled to a memory and configured to instantiate a user code runtime to execute user-defined function (UDF) code. The user code runtime is instantiated within a sandbox process of an execution node. An application programming interface (API) call is detected during execution of the UDF code. The API call includes one or more configurations of a trace event. Telemetry information is collected based on the one or more configurations. The telemetry information is associated with the trace event using a telemetry API. The telemetry API corresponds to the API call. The telemetry information is formatted using the telemetry API, to generate structured telemetry information. The at least one hardware processor causes ingestion of the structured telemetry information into an event table.

Disclosed is an execution information sharing system that duplicates execution information to a provider target (and other targets) as it is being loaded to a consumer target. A consumer account of a data sharing platform executes an application shared with it by a provider account of the platform. Consumer and provider configurations indicating consumer and provider targets respectively are generated. The consumer configuration and provider configurations are provided to an event context to generate a first and second event unloaders respectively, wherein the event context maintains a mapping linking both the first event unloader and the second event unloader to the application. In response to receiving execution information from the application, the first event unloader and the second event unloader are retrieved. The execution information is then written to the consumer target and the provider target using the first event unloader and the second event unloader respectively.

Growing community of inventors

Seattle, WA, United States of America

Tyson J Hamilton