How does Snowsight assist users in managing and tracking their query history and interactions?

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How does Snowsight assist users in managing and tracking their query history and interactions with Snowflake?

Daniel Steinhold Asked question September 25, 2023
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Snowsight assists users in managing and tracking their query history and interactions with Snowflake in the following ways:

  • Query history: Snowsight provides a query history view that shows all of the queries that have been executed by the user. The query history view includes information such as the query text, the start time, the end time, the duration, and the status of the query.
  • Query results: Snowsight provides a query results view that shows the results of the most recently executed query. The query results view includes information such as the table schema, the data types, and the data values.
  • Query explanations: Snowsight provides a query explanation feature that shows how Snowflake executed a particular query. The query explanation feature includes information such as the logical plan and the physical plan of the query.
  • Query alerts: Snowsight allows users to create alerts for queries. For example, a user could create an alert to be notified when a query takes longer than a certain amount of time to execute.
  • Query sharing: Snowsight allows users to share queries with other users. This can be useful for collaboration purposes or for sharing best practices.

In addition to these features, Snowsight also provides a number of other features that can help users to manage and track their interactions with Snowflake, such as:

  • Workspaces: Workspaces allow users to organize their queries and visualizations into logical groups.
  • Permissions: Permissions allow users to control who has access to their queries and workspaces.
  • Version control: Version control allows users to track and manage changes to their queries and visualizations.

Overall, Snowsight provides a variety of features that can help users to manage and track their query history and interactions with Snowflake. These features can help users to improve their productivity, collaboration, and data governance.

Here are some specific examples of how Snowsight can be used to manage and track query history and interactions with Snowflake:

  • Use query history to identify performance bottlenecks: Users can use the query history view to identify queries that are taking a long time to execute. Once a performance bottleneck has been identified, users can take steps to optimize the query.
  • Use query results to debug queries: Users can use the query results view to debug queries that are not returning the expected results. By examining the query results, users can identify the source of the problem and take steps to fix the query.
  • Use query explanations to understand how Snowflake executes queries: Users can use the query explanation feature to understand how Snowflake executes a particular query. This can be helpful for optimizing queries and for troubleshooting performance problems.
  • Use query alerts to monitor query performance: Users can use query alerts to monitor the performance of their queries. This can be helpful for identifying queries that are taking a long time to execute or that are failing.
  • Use query sharing to collaborate with other users: Users can use query sharing to collaborate with other users on data analysis projects. This makes it easy to share queries and visualizations with others and to get feedback.

By using the features that Snowsight provides, users can improve their productivity, collaboration, and data governance.

Daniel Steinhold Changed status to publish September 25, 2023
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