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site title: Use system insights to improve system performance     Cloud SQL for MySQL     Google Cloud Documentation

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om external databases use a custom import to set up replication from large external databases migrate data about data migration in cloud sql migrate from a percona xtrabackup physical file migrate from cloud sql to an external server availability and disaster recovery dr availability in cloud sql about high availability ha enable and disable high availability ha legacy configuration for high availability ha about disaster recovery dr use advanced disaster recovery dr back up and restore back up an instance cloud sql backups overview choose your backup option manage standard backups manage enhanced backups manage backups for deleted instances view audit logs for automated backups restore an instance overview restore an instance using a backup configure point in time recovery perform point in time recovery import and export best practices for importing and exporting data export and import using sql dump files export and import using csv files export and import files in parallel cancel the import and export of data check the status of import and export operations develop build generative ai applications using cloud sql integrate cloud sql with vertex ai invoke online predictions understand an example of an embedding workflow build llm powered applications using langchain interact with custom models using model endpoint management overview register a model generate embeddings invoke predictions model endpoint management reference vector search vector search enable and disable vector embeddings generate and manage vector embeddings create and manage vector indexes search and filter with vector embeddings work with vector embeddings preview use cloud sql for mysql with agents use the cloud sql remote mcp server best practices for securing agent interactions with mcp use saved queries overview create and manage saved queries build data agents with conversational analytics query database in natural language with querydata monitor and optimize about database observability monitor and troubleshoot with ai assistance audit audit logs mysql database auditing use mysql database auditing performance capture overview configure performance capture view performance capture logs query performance use query insights use index advisor monitor active queries system performance monitor instances view instance logs use system insights monitor cloud sql using the database insights mcp server apply recommendations create indexes or reconfigure join settings disable public ip enable database auditing enforce ssl tls encryption improve instance reliability by enabling high availability improve performance with enterprise plus increase the table open cache manage open tables and open table definitions manage high number of tables monitor disk availability optimize high cpu usage optimize high memory usage optimize instances with high number of out of memory events prevent data loss by enabling automated backups prevent data loss by increasing backup retention reconfigure connection settings reconfigure log settings reconfigure temporary table settings reduce idle cloud sql instances reduce overprovisioned cloud sql instances reduce underprovisioned cloud sql instances remove authorized networks remove broad public ip ranges rotate server certificates set instance password policies set user password policies use looker with cloud sql troubleshoot known issues troubleshoot error messages debug connection issues diagnose issues orphan tables issues updating storage capacity high disk usage issues ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation databases cloud sql mysql guides send feedback use system insights to improve system performance stay organized with collections save and categorize content based on your preferences mysql postgresql sql server preview this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions this page describes how you can use the cloud sql system insights dashboard the system insights dashboard displays metrics for the resources that your instance uses and helps you detect and analyze system performance problems you can use gemini in databases assistance to help you observe and troubleshoot your cloud sql for mysql resources for more information see observe and troubleshoot with gemini assistance view the system insights dashboard to view the system insights dashboard do the following in the google cloud console go to the cloud sql instances page go to cloud sql instances click the name of an instance select the system insights tab from the sql navigation panel on the left the system insights dashboard opens figure 1 dashboard image showing events timeline and summary cards the system insights dashboard shows the following information your instance details events timeline shows the system events in a chronological order this information helps you evaluate the impact of system events on the health and performance of the instance summary cards provide an overview of the instance health and performance by displaying the latest and aggregated values for the cpu utilization disk utilization and log errors metrics metrics charts show the information about the operating system and database metrics that help you gain insight into several issues such as throughput latency and cost the dashboard offers the following high level options to create a customized dashboard click customize dashboard to keep the dashboard up to date enable the auto refresh option when you enable auto refresh the dashboard data updates every minute this feature isn t compatible with customized time periods the time selector shows 1 day selected by default to change the period select one of the other predefined periods or click custom and define a start and end time data is available for the last 30 days to create an absolute link to the dashboard click the copy link button you can share this link with other cloud sql users who have the same permissions to create an alert for a specific event click notifications notification to display specific alerts click annotations summary cards the following table describes the summary cards displayed at the top of the system insights dashboard these cards provide a brief overview of the instance s health and performance during the chosen time period summary card description cpu utilization p50 the p50 cpu utilization values cpu utilization p99 the p99 cpu utilization values disk utilization the latest disk utilization value log errors the number of errors that were logged metrics charts the toolbar on each chart card provides the following set of standard options to view metric values for a specific moment in the selected period move the cursor over the chart to zoom in on a chart click the chart and drag horizontally along the x axis or vertically along the y axis to revert the zoom operation click reset zoom or click one of the predefined time periods at the top of the dashboard zoom operations apply at the same time to all charts on a dashboard to view additional options click more_vert more chart options most charts offer these options to view a chart in full screen mode click view in full screen to exit full screen mode click cancel hide or collapse the legend download a png or csv file of the chart view in metrics explorer view the metric in metrics explorer you can view other cloud sql metrics in the metrics explorer after selecting the cloud sql database resource type to create a custom dashboard click edit customize dashboard and give it a name or expand the predefined menu and select an existing custom dashboard to view a metric chart s data in detail click query_stats explore data here you can filter specific metrics and choose how the chart displays to save this customized view as a metric chart click save to dashboard default metrics the following table describes the cloud sql metrics that appear by default on the cloud sql system insights dashboard note cloud sql for mysql instances with more than 500 databases report a single aggregated value for database metrics metric name and type description query latency dbinsights googleapis com aggregate latencies the aggregated query latency distribution by p99 p95 and p50 per user and database only available for instances with query insights enabled database load per database user client address dbinsights googleapis com aggregate execution_time the accumulated query execution time per database user or client address this is the sum of cpu time i o wait time lock wait time process context switch and scheduling for all processes involved in query execution only available for instances with query insights enabled cpu utilization cloudsql googleapis com database cpu utilization the current cpu utilization represented as a percentage of the reserved cpu that s currently in use mysql connections cloudsql googleapis com database network connections the number of connections held by the database instance ingress egress bytes cloudsql googleapis com database network received_bytes_count cloudsql googleapis com database network sent_bytes_count the network traffic in terms of the number of ingress bytes bytes received and egress bytes bytes sent to and from the instance respectively memory components cloudsql googleapis com database memory components the memory components available to the database as usage cache and free memory the value for each memory component is calculated as the percentage of the total memory available to the database mysql queries cloudsql googleapis com database mysql queries the number of statements executed by the server this includes statements executed within stored programs such as stored procedures and functions mysql questions cloudsql googleapis com database mysql questions the number of statements executed by the server this includes only the statements sent to the server by the clients and not the statements executed within stored programs mysql network traffic cloudsql googleapis com database mysql received_bytes_count cloudsql googleapis com database mysql sent_bytes_count the number of bytes received from and sent to the clients innodb pages innodb dirty pages cloudsql googleapis com database mysql innodb_buffer_pool_pages_dirty innodb free pages cloudsql googleapis com database mysql innodb_buffer_pool_pages_free innodb total pages cloudsql googleapis com database mysql innodb_buffer_pool_pages_total the number of dirty free and total pages in the innodb buffer pool a dirty page in the innodb buffer pool is a page that s modified in the memory but isn t written back to the disk a free page in innodb buffer pool is a page that doesn t contain any data and is unused innodb fsync calls cloudsql googleapis com database mysql innodb_data_fsyncs the number of innodb fsync operations innodb log fsync calls cloudsql googleapis com database mysql innodb_os_log_fsyncs the number of fsync operations performed on the innodb redo log files innodb pages read written cloudsql googleapis com database mysql innodb_pages_read cloudsql googleapis com database mysql innodb_pages_written the number of innodb pages read and written mysql table open cache cloudsql googleapis com database mysql open_tables cloudsql googleapis com database mysql opened_table_count open_tables is the number of tables currently open opened_table_count is the number of tables that the database has opened since the last sample if the value of opened_table_count is consistently high we recommend that you increase the value of table_open_cache mysql table definition cache cloudsql googleapis com database mysql open_table_definitions cloudsql googleapis com database mysql opened_table_definitions_count open_table_definitions is the number of table definitions that are currently open opened_table_definitions_count is the number of times the database has opened a table definition since the last sample if the value of opened_table_definitions_count is consistently high we recommend that you increase the value of table_definition_cache innodb data dictionary memory usage cloudsql googleapis com database mysql innodb dictionary_memory memory usage for the innodb data dictionary cache innodb has its own cache for storing information about database objects such as tables columns indexes and foreign keys table_definition_cache sets a soft limit on the number of tables in this cache however tables with foreign key relationships are kept in cache until the database shuts down or restarts this cache can consume a significant amount of memory if your instance has many tables with foreign key relationships disk storage by type cloudsql googleapis com database disk bytes_used_by_data_type the breakdown of instance disk usage by data types such as data binlog and tmp_data this metric helps you understand your storage costs for more information about storage usage charges see storage and networking pricing point in time recovery pitr uses binary logs cloud sql generates new logs regularly and these logs use storage space cloud sql automatically deletes the binary logs and their associated automatic backups this generally happens after the retention value set for transactionlogretentiondays is met transactionlogretentiondays is the number of days for which cloud sql retains the transaction logs its value ranges from 1 to 7 to avoid unexpected storage issues while using pitr we recommend that you enable automatic storage increases disk read write ops cloudsql googleapis com database disk read_ops_count cloudsql googleapis com database disk write_ops_count read_ops_count indicates the delta count of disk read i o operations you can use this metric to understand whether your instance is correctly sized for your environment if required you can switch to a larger machine type to serve more requests from cache and reduce latency write_ops_count indicates the delta count of disk write i o operations cloud sql instances barring replicas write to a system table approximately every second cloud logging logging googleapis com log_entry_count shows the total number of log entries for errors and warnings for more information see cloud sql metrics events timeline the dashboard provides the details of the following events event name description operation type instance restart restarts the cloud sql instance restart instance failover initiates a manual failover of a high availability ha primary instance to a standby instance which becomes the primary instance failover instance maintenance indicates that the instance is curre...
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