How to troubleshoot a slow transactionIssue If you have a UI transaction that is taking longer to complete than you would expect, follow the steps outlined in this article to identify the cause. If a user triggers a transaction that executes for a long time, the transaction quota rule will cancel the transaction after 5 minutes (default). You may receive a warning message similar to Your transaction has been cancelled with a reason of Maximum execution time exceeded. This transaction should be investigated using the steps below. The investigation can then focus on the "slow" area of the platform whether it be ACLs, business rules, database, or client-side. All the timings for the individual components are recorded in the Filter Navigator > System Logs. Please note: You must follow these steps on the same node (e.g. reproduction of the slow transaction & the subsequent node log file review). Only transactions with a response time >100ms will be seen in the logs. To see all database queries, you would need to enable additional debugging (Filter Nav -> Debug SQL detailed). This article outlines three options for investigating slow performance: Option 1 (recommended): Debug Module in the UI (very quick & easy when reproducing a specific session/transaction only. This can also take you down the Index Suggestion Engine so try this method out!)Option 2A: Node Log file browser (lots of steps but flexible approach as you can analyse anything in the log).Option 2B: Download the localhost_log file to your local workstation and use tools like grep, less in a terminal window or text editor to interrogate the logs further.ResolutionOPTION 1: Session Debug (Recommended) Use the steps below or follow along with this video to troubleshoot a slow transaction with the the Session Debug feature. Filter Navigator > System Diagnostics > Session Debug > Enable All (This should open a debugging tool in a new window)Reproduce the transactionReview the output in the session log window There are some useful features in the session log - you can download the log, clear the log, or even amend the Filters if you want to remove any noise or clear the output screenThe important word to search for in the log output is EXCESSIVE as those are the slow queries that need to be investigated. If you have an expensive SQL query like the below screen show shows (8.459 seconds), then you can try the index suggestion index feature.In your main UI window where you reproduced the transaction, scroll down to the debug output under the 'Query' header. Now open the record which is the expensive query - this will open a record in the slow query moduleNow follow the Index Suggestion Engine article KB0782916 - How to create indexes using the Index Suggestion Engine (ISE) OPTION 2A: Node Log file browser Reproduce the slow transactionFilter Navigator > System Logs > Transactions (All user)Personalise the Columns on the list. These columns are useful to add:Browser timeBusiness rule timeClient network timeClient response timeClient script timeNetwork timeSemaphore wait timeSessionSession wait timeSession IDTotal wait timeTotal page load timeTotal wait timeTransaction NumberTransaction processing timeUI policy time Amend the list condition filter to be created_by = <affected_user> and sort by created desc (this filters out the noise and allows focus on the affected user only)Identify the slow transaction (URL column shows the transaction type) in the transaction log which should be near the top of the listCopy the SessionID (session column) & Transaction Number of the problem transactionFilter Navigator > Node Log File browser Amend the Start time and End time fields to encompass the time the problem transaction was executedSession ID = (paste in the SessionID from step 6)Max rows = 10000Message = (paste in the Transaction Number from step 6) Click Submit. This should show the targeted transaction.Copy the txid value from the affected transaction log output eg txid=81c8704bdbc7 By searching using the txid instead of just the SessionID, the output will show more details about the user transaction. Keep the log file parameters the same apart from replacing the Transaction Number in the message field with the txid value. Click Submit. The steps above should provide you with the transaction you are interested in with extra detail: In the above screen example you can see that: The transaction was a mytable_list.doThe database query (SELECT) took 13.604 seconds. (Time:0:00:13.604)The log entry with EXCESSIVE ***END , shows the part of the platform that is accounting for most of the time. Here we have 13.737 total time & SQL time is 13.611 which means the vast majority of time taken for the transaction is SQL (database layer time). Now looking at the query itself, we see the issue straight away.The query has NO WHERE clause, which means the platform has to pull all records from the table which is bad practice as this cant scale, nor can we utilize a database indexe. So we should really look to amend the filter condition to retrieve a smaller result set. The next screenshot shows the same list view transaction but this time with a filter condition mycolumn='ABCD'The query is still slow at 15 seconds even with a filter condition. This means that perhaps we need an index on the mycolumn column to make the condition really effective. I have now added an index on MyTable(MyColumn) via the UI. If you need help with deciding what index to select, you could try the OPTION 2 approach and use the Index Suggestion Engine. If you look at the transaction again now after the index addition, we don't see the SQL query in the logs anymore. That is because it is now executing faster than 100ms so its not logged. SQL time is now very fast at 73ms OPTION 2B: Node Log file browser Reproduce the slow transactionFilter Navigator > Node Log File DownloadAmmend list conditional to show only 'Name' starts with localhostSort by Name in DESC orderThe file at the top of the list should be todays localhost log fileOpen recordClick on 'Download log' Now use a text editor of choice to search / interrogate the logs (search using SessionID (session column) & Transaction Number to look at the relevant transactions. Can also search on the txid value if you have it )). You can also load the file into terminal/iterm and use tools like grep, less etc to interrogate or search the file NEXT STEPS Depending on where most of the transaction time is being spent, that should be the focus. It is pretty self-explanatory - if most of the time is spent processing ACLs, then that area should be the focus. If UI Action time is high, then UI Actions should be investigated. If SQL time is the highest, the database queries need to be reviewed etc. If SQL time is the majority of the transaction time, then answer these questions : Does the query have a condition filter (a WHERE clause)? If so, is the condition filter efficient? See Performance Best Practice for Efficient Queries in the additional information section of this KB. Is the data result set looking at a small or limited subset of data (eg using active=1 or a date range). If not, consider adding active=1 or use a date range to reduce the result set that needs to be queried.Would the query benefit from an index hint / or index? Depending on what columns and logic operands are after the WHERE clause, an index may help. If you followed the Option 2 path, then you can easily try the Index Suggestion Engine KB0782916Remember to test any new indexes in a recently cloned instance before applying in production.Related LinksMore information about the Session log can be found in the Script Debugger and Session Log ServiceNow Product Documentation.More information about adding an index can be found in the Creating Tables ServiceNow Product Documentation.More information about Client Transaction timings can be found in the Client Transaction Timings ServiceNow Product Documentation.Resources for for most common, high-impacting Performance issues on ServiceNow instances can be found at KB0829067 - Performance Landing Page.KB0755706 - What is Session wait / Session Synchronization?KB0782916 - How to create indexes using the Index Suggestion Engine (ISE)KB0634588 - Six common performance pitfalls in Service Portal and how to avoid themServiceNow Community: Performance Best Practice for Efficient Queries - TOP 10 practicesServiceNow Community: Recommendations for Optimal Instance Performance