Transactions are multiple related log events grouped by a common unique identifier into a single aggregated event and can be used to track and analyze business activity. For example, an e-commerce website would group log events across various user actions, such as catalog search, add to cart, and checkout, to build a transaction view using a common attribute such as
In the Log Explorer, build transactions from your log data without any pre-processing or setup.
Switch to the Transactions view, and select a facet to build a transaction on. Facets commonly used for transactions are unique identifiers available across your data sources such as
userId. The following information is displayed for each transaction in the table:
Click on a transaction row to drill down into its underlying log events.
+icon to add aggregations as columns to the Transaction Table. You can add up to five aggregations.
facetwith string values, calculate specific log event information using the operations
measure, calculate statistical information using the operations
Sort the results based on the facet used to group. Click on the column header to change the sort order. By default, the sort order is ascending.
Save the transaction query as a Saved View for future use. You can also export a transaction view to a CSV for sharing. Export up to 5,000 logs at once.