--- sourceDocument: Brazil Impact sourceDocumentLink: https://www.servicenow.com/docs/r/impact Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Impact ft:clusterId : - ipact bundleId : - ipact --- # Database performance metrics # Database performance metrics {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read The metrics provide the database performance snapshot within the ServiceNow AI Platform®. ## SQL Response Time {#io-database-performance-metrics__section_cnt_thj_hjc} Reported mean of database response time. This is measured at the application layer with a timer that starts when a query is sent to the database and finishes when the response has been received. Since this is measured at the application layer, it is therefore inclusive of time spent on the network between application server and database server as well as being susceptible to misleading increases during periods of application layer resource contention (for example, CPU or JVM memory shortages). Most database queries in ServiceNow are extremely fast (a few milliseconds or less). When interpreting the mean SQL response time metric this is very important to understand because individual slow queries, that typically cause most ServiceNow performance issues, will likely not have an impact on this graph. Conversely, things that do have an impact on this graph are very not likely to signify actual business impacting issues --- particularly things that cause it to jump for very short periods of time or things that cause it to grow slowly over time. If the SQL response time quickly jumps up multiple times its normal rate and stays elevated for more than 15 minutes this might correlate to a service impacting issue, but must be validated with a primary performance indicator for further troubleshooting. Note: This indicator is only a secondary indicator, which can be used to understand the context where it is used, and cannot be directly used for troubleshooting. ## Database Response Time by Type {#io-database-performance-metrics__section_dnj_jlj_hjc} The average response time of individual database transaction types. The database transaction types are stacked individually to give a granular breakdown. Database transaction types such as selects, inserts, updates and deletes are tracked individually. In case of a response time issue, the breakdown of individual statement types allows the user to narrow down the impacting query type. ## Database Throughput {#io-database-performance-metrics__section_evf_llj_hjc} The total number of database transaction types performed per data point. The database transaction types are stacked individually to give a granular breakdown. Database transaction types such as selects, inserts, updates and deletes are tracked individually. The breakdown of counts per type allows the user to identify any deviation in volume at the more granular level. ## Database Size {#io-database-performance-metrics__section_osp_mlj_hjc} otal DBI Size (based on sum of all tables) along with any primary shard(s) size (based on sum of all tables on shards), this is calculated every 4 hours and can be used to visualize database growth over time. ## History List Length {#io-database-performance-metrics__section_r11_4lj_hjc} The InnoDB history list is the undo logs which are used to store these modifications. This is a fundamental part of InnoDB's transactional architecture. InnoDB is an MVCC storage engine, which means you can start a transaction and continue to see a consistent snapshot even as the data changes. This is implemented by keeping old versions of rows as they're modified. They're kept in a linked list. The most recent version points to the previous one, which points to the previous one, and others. Note: The value on larger DBs over 5-10 million is bad and on smaller DBs over 1 million. ## Threads Running {#io-database-performance-metrics__section_f54_qlj_hjc} This metric represents the number of process threads running at the given point in time on the instance. When a thread is in the "running" state, it is actively using CPU resources to execute its code. ## Slow Queries {#io-database-performance-metrics__section_oy1_slj_hjc} This metric represents the max time taken by slow queries. Slow queries refer to database queries that take longer to execute, typically due to lack of indexes, design, and others. ## InnoDBrowLock {#io-database-performance-metrics__section_png_5lj_hjc} This metric represents the duration InnoDB waits to acquire a row lock before timing out, specified in seconds. Adjusting it affects concurrency and performance in database transactions. **Related reference** * [Anomaly insights](https://www.servicenow.com/docs/9eMZNrCJaJtg~3aFIFet1A "The reference topic gives additional information for anomaly charts.") * [Feature availability based on package](https://www.servicenow.com/docs/M3A1LJNB8V4JVxJd7sbWsA "The table outlines the access permissions for Performance Analytics features across production and sub production instances.") * [Auriga Intelligent Alert report](https://www.servicenow.com/docs/V1ruTiVtM2A3MbeTcDpeYQ "Auriga Intelligent Alert is an advanced multivariate machine learning (ML) model that learns from historical issues on your instance to provide real-time insight. Auriga monitors your performance metrics to deliver notifications of noteworthy events or deviations from anticipated data patterns.") * [Transaction or response metrics](https://www.servicenow.com/docs/OqtPTCLgCEFebynXPu5FUA "The metrics provide a performance snapshot of classic UI transactions within the ServiceNow AI Platform.") * [Semaphores performance metrics](https://www.servicenow.com/docs/VPNjbLl2b_wmgHTCQLSISg "The metrics provide the key performance indicators calculated at the instance level for the selected duration.") * [Event queues performance metrics](https://www.servicenow.com/docs/FzQ~auFuRBp08BnxEI7RRQ "The metrics provide the event performance snapshot within the ServiceNow AI Platform.") * [ECC Queue performance metrics](https://www.servicenow.com/docs/_O_6TR7e9CzFqyACutE4AA "The metrics provide the ECC Queue performance snapshot within the ServiceNow AI Platform.") * [Email performance metrics](https://www.servicenow.com/docs/GBdK4QuaJS5f89Z0DzLCYw "The metrics provide the Email performance snapshot within the ServiceNow AI Platform.") * [Scheduler performance metrics](https://www.servicenow.com/docs/H1RBfEAPC4ZdxJ_2hY3wuA "The metrics provide the Schedulers performance snapshot within the ServiceNow AI Platform.") * [Job details performance metrics](https://www.servicenow.com/docs/s_D18FA~3ZZvqGb5gp_K0g "The metrics provide the job details performance snapshot within the ServiceNow AI Platform.") * [Node health performance metrics](https://www.servicenow.com/docs/nQjkyl1AcdIzwWbTM63MHw "The metrics provide the node health performance snapshot within the ServiceNow AI Platform.") * [Host health performance metrics](https://www.servicenow.com/docs/Yez46paUCAk0Na7ewZ82hQ "The metrics provide the host health performance snapshot within the ServiceNow AI Platform.") * [Standby replication Lag](https://www.servicenow.com/docs/B9CtYGvUn9MVs9J0Mgmt8w "A read replica is a copy of the primary DB that reflects changes to the primary in almost real time, in normal circumstances. The lag represents the database server of the instance that is behind in seconds.") * [Pool Replication Lag](https://www.servicenow.com/docs/YSPXFJIoJR_vf8BzPPjQew "Pool replication lag is the number of seconds that a Standby database or a read replica database lags behind the primary database.") * [Chat details performance metrics](https://www.servicenow.com/docs/~EfYHOVKr6RLUqarKf6dGw "For the operations team to get the insights of current load across main components of AWA channel infrastructure like queues and agents, and to monitor load during events of chat spikes.") * [Cluster details performance metrics](https://www.servicenow.com/docs/n1cNOtxAWYwNE5sjOFJmoA "The metrics provide the cluster details and Encryption status snapshot within the ServiceNow AI Platform.") * [Load balancer performance metrics](https://www.servicenow.com/docs/nxr5K~NVw8540hEh5TqvOQ "The metrics provide the load balancer performance snapshot within the ServiceNow AI Platform.") * [User information metrics](https://www.servicenow.com/docs/_Ly6DopUwh4OA_SaAk6Kyg "The metrics provide the user information performance snapshot within the ServiceNow AI Platform.") * [Instance Data Replication](https://www.servicenow.com/docs/0j2ckH2pLj3hbtk4zpouHQ "The Instance Data Replication (IDR) copies data updates from one instance, called the producer instance, to one or more other instances called the consumer instances.")