Blocktorch's Log explorer is a powerful tool designed to help users search, analyze, and explore logs generated by your dApp in the fastet possible way.
To search for logs, transactions and traces in the Search, enter your search query in the search bar on top. The search query can be a keyword or a facet. Advanced search capabilities, including fuzzy search and faceted search, allow users to quickly find the information they need. The Search will return a list of matching log entries based on your query.
For fuzzy search try for example search for wallets, contracts, status (Success/Fail), nonces, and many more. Fuzzy search can be combined with the query chips
Your search query can be fine tuned by updating, removing or adding single chips to the query. To update a chip simply click its value and change it
Fine tuning and updating search in blocktorch search
To share search results, simply copy the URL from the address bar and send it to the desired recipient. The recipient will be able to view the same search results by visiting the shared URL.
by sharing your result the recipient will join your project. this means the recipient will also be able to access all other data of your project. Only people who you can trust should be invited your project!
Share the URL of your search with others to see the same logs
To view the details of a log entry, click on the log entry in the search results list. This will open the log entry's details, such as the timestamp, transaction hash, gas units, and any additional metadata associated with the log entry.
The Blocktorch Search not only displays the basic details of a log entry but also provides the full stack trace for enhanced analysis and debugging. The full stack trace can be very helpful for identifying issues, as it offers a detailed breakdown of the execution path and the specific functions or methods involved.
To view the full stack trace in the Log Entry Details, look for the "Stack Trace" section in the log entry's details at the bottom. This section will display the complete stack trace, including function calls.
For now stack traces are supported only for Ethereum.