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ProxySQL

Plugin: go.d.plugin Module: proxysql

Overview

This collector monitors ProxySQL servers.

This collector is supported on all platforms.

This collector supports collecting metrics from multiple instances of this integration, including remote instances.

Default Behavior

Auto-Detection

This integration doesn't support auto-detection.

Limits

The default configuration for this integration does not impose any limits on data collection.

Performance Impact

The default configuration for this integration is not expected to impose a significant performance impact on the system.

Metrics

Metrics grouped by scope.

The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.

Per ProxySQL instance

These metrics refer to the entire monitored application.

This scope has no labels.

Metrics:

MetricDimensionsUnit
proxysql.client_connections_countconnected, non_idle, hostgroup_lockedconnections
proxysql.client_connections_ratecreated, abortedconnections/s
proxysql.server_connections_countconnectedconnections
proxysql.server_connections_ratecreated, aborted, delayedconnections/s
proxysql.backends_trafficrecv, sentB/s
proxysql.clients_trafficrecv, sentB/s
proxysql.active_transactions_countclientconnections
proxysql.questions_ratequestionsquestions/s
proxysql.slow_queries_rateslowqueries/s
proxysql.queries_rateautocommit, autocommit_filtered, commit_filtered, rollback, rollback_filtered, backend_change_user, backend_init_db, backend_set_names, frontend_init_db, frontend_set_names, frontend_use_dbqueries/s
proxysql.backend_statements_counttotal, uniquestatements
proxysql.backend_statements_rateprepare, execute, closestatements/s
proxysql.client_statements_counttotal, uniquestatements
proxysql.client_statements_rateprepare, execute, closestatements/s
proxysql.cached_statements_countcachedstatements
proxysql.query_cache_entries_countentriesentries
proxysql.query_cache_memory_usedusedB
proxysql.query_cache_ioin, outB/s
proxysql.query_cache_requests_rateread, write, read_successrequests/s
proxysql.mysql_monitor_workers_countworkers, auxiliarythreads
proxysql.mysql_monitor_workers_ratestartedworkers/s
proxysql.mysql_monitor_connect_checks_ratesucceed, failedchecks/s
proxysql.mysql_monitor_ping_checks_ratesucceed, failedchecks/s
proxysql.mysql_monitor_read_only_checks_ratesucceed, failedchecks/s
proxysql.mysql_monitor_replication_lag_checks_ratesucceed, failedchecks/s
proxysql.jemalloc_memory_usedactive, allocated, mapped, metadata, resident, retainedB
proxysql.memory_usedauth, sqlite3, query_digest, query_rules, firewall_users_table, firewall_users_config, firewall_rules_table, firewall_rules_config, mysql_threads, admin_threads, cluster_threadsB
proxysql.uptimeuptimeseconds

Per command

These metrics refer to the SQL command.

Labels:

LabelDescription
commandSQL command.

Metrics:

MetricDimensionsUnit
proxysql.mysql_command_execution_rateuptimeseconds
proxysql.mysql_command_execution_timetimemicroseconds
proxysql.mysql_command_execution_duration100us, 500us, 1ms, 5ms, 10ms, 50ms, 100ms, 500ms, 1s, 5s, 10s, +Infmicroseconds

Per user

These metrics refer to the user.

Labels:

LabelDescription
userusername from the mysql_users table

Metrics:

MetricDimensionsUnit
proxysql.mysql_user_connections_utilizationusedpercentage
proxysql.mysql_user_connections_countusedconnections

Per hostgroup

These metrics refer to the backends hostgroup.

Labels:

LabelDescription
hostgrouphostgroup identifier

Metrics:

MetricDimensionsUnit
proxysql.hostgroup_backends_statusonline, shunned, offline_soft, offline_hardbackends

Per backend

These metrics refer to the backend server.

Labels:

LabelDescription
hostgroupbackend server hostgroup
hostbackend server host
portbackend server port

Metrics:

MetricDimensionsUnit
proxysql.backend_statusonline, shunned, offline_soft, offline_hardstatus
proxysql.backend_connections_usagefree, usedconnections
proxysql.backend_connections_ratesucceed, failedconnections/s
proxysql.backend_queries_ratequeriesqueries/s
proxysql.backend_trafficrecv, sendB/s
proxysql.backend_latencylatencymicroseconds

Functions

This collector exposes real-time functions for interactive troubleshooting in the Top tab.

Top Queries

Retrieves aggregated query statistics from ProxySQL's stats_mysql_query_digest table.

This function queries the stats_mysql_query_digest table which stores runtime statistics for all queries proxied through ProxySQL, aggregated by query digest (normalized query pattern). It provides timing metrics, execution counts, and error statistics for each unique query pattern.

Use cases:

  • Identify slow queries consuming excessive total execution time
  • Find high-frequency queries that may benefit from caching
  • Monitor query error rates across backends

Query text is truncated at 4096 characters for display purposes.

AspectDescription
NameProxysql:top-queries
Require Cloudyes
PerformanceQueries ProxySQL admin interface for digest statistics:
• Reads from in-memory stats_mysql_query_digest table
• Default limit of 500 rows balances completeness with performance
• Data is aggregated in-memory by ProxySQL from active connections
SecurityQuery text may contain unmasked literal values including potentially sensitive data:
• Personal information in WHERE clauses or INSERT values
• Business data embedded in queries
• Access should be restricted to authorized personnel only
AvailabilityAvailable when:
• The collector has successfully connected to ProxySQL admin interface
• Returns HTTP 503 if the connection cannot be established
• Returns HTTP 500 if the query fails
• Returns HTTP 504 if the query times out

Prerequisites

No additional configuration is required.

Parameters

ParameterTypeDescriptionRequiredDefaultOptions
Filter ByselectSelect the primary sort column. Options include total execution time, number of calls, rows affected, rows sent, errors, and warnings. Defaults to total time to focus on most resource-intensive queries.yestotalTime

Returns

Aggregated query digest statistics from ProxySQL, providing comprehensive performance analysis across all monitored MySQL backends. Each row represents a unique query pattern (normalized digest) with cumulative metrics across all its executions.

ColumnTypeUnitVisibilityDescription
DigeststringhiddenUnique hash identifier for normalized query pattern. Queries with identical structure but different literal values share the same digest.
QuerystringThe SQL query text with literal values truncated at 4096 characters. Use this to identify the actual SQL being executed and spot parameterized queries or injection risks.
SchemastringDatabase name where the query was executed. Essential for multi-database analysis to identify which database or backend is experiencing query load.
UserstringhiddenMySQL username used to execute the query. Useful for identifying application users or connection pool attribution.
HostgroupintegerhiddenBackend hostgroup identifier from ProxySQL configuration. Allows grouping queries by backend server for multi-backend analysis.
CallsintegerTotal number of times this query pattern has been executed. High values indicate frequently run queries that may impact server performance significantly.
Total TimedurationmillisecondsCumulative execution time across all query executions. This is a key metric for identifying the most resource-intensive queries in terms of total server time consumption.
Avg TimedurationmillisecondsAverage execution time per query run. Compare with Total Time to determine if individual executions or high frequency drives resource usage.
Min TimedurationmillisecondshiddenMinimum execution time observed. Helps identify variability in query performance and spot potential optimization opportunities for outliers.
Max TimedurationmillisecondshiddenMaximum execution time observed. Large gaps between Min Time and Max Time may indicate performance instability due to parameter sniffing, data skew, or lock contention.
Rows AffectedintegerTotal number of rows modified by INSERT, UPDATE, DELETE, or REPLACE statements. Useful for tracking write workloads and data modification patterns.
Rows SentintegerTotal number of rows returned to the client by SELECT statements. High values may indicate queries returning large result sets that consume significant network bandwidth and client resources.
ErrorsintegerTotal number of times this query pattern resulted in an error. Non-zero values require investigation into the underlying SQL syntax, permission issues, or constraint violations.
WarningsintegerTotal number of times this query pattern generated a warning. Warnings may indicate data type conversions, NULL handling issues, or other non-critical SQL problems that should be reviewed.
First SeenstringhiddenTimestamp when this query pattern was first observed. Helps identify new queries that may have been introduced by application changes or code deployments.
Last SeenstringhiddenTimestamp when this query pattern was last executed. Can help identify stale queries that are no longer in use or to track recent query activity.

Alerts

The following alerts are available:

Alert nameOn metricDescription
proxysql_hostgroup_no_online_backends proxysql.hostgroup_backends_statusProxySQL hostgroup ${label:hostgroup} has no ONLINE backends
proxysql_backend_shunned proxysql.backend_statusProxySQL backend SHUNNED (${label:host}:${label:port} hostgroup ${label:hostgroup})
proxysql_backend_offline_hard proxysql.backend_statusProxySQL backend OFFLINE_HARD (${label:host}:${label:port} hostgroup ${label:hostgroup})

Setup

You can configure the proxysql collector in two ways:

MethodBest forHow to
UIFast setup without editing filesGo to Nodes → Configure this node → Collectors → Jobs, search for proxysql, then click + to add a job.
FileIf you prefer configuring via file, or need to automate deployments (e.g., with Ansible)Edit go.d/proxysql.conf and add a job.
important

UI configuration requires paid Netdata Cloud plan.

Prerequisites

No action required.

Configuration

Options

The following options can be defined globally: update_every, autodetection_retry.

Config options
GroupOptionDescriptionDefaultRequired
Collectionupdate_everyData collection frequency (seconds).1no
autodetection_retryAutodetection retry interval (seconds). Set 0 to disable.0no
TargetdsnProxySQL server DSN (Data Source Name). See DSN syntax.stats:stats@tcp(127.0.0.1:6032)/yes
timeoutQuery timeout (seconds).1no
Virtual NodevnodeAssociates this data collection job with a Virtual Node.no

via UI

Configure the proxysql collector from the Netdata web interface:

  1. Go to Nodes.
  2. Select the node where you want the proxysql data-collection job to run and click the (Configure this node). That node will run the data collection.
  3. The Collectors → Jobs view opens by default.
  4. In the Search box, type proxysql (or scroll the list) to locate the proxysql collector.
  5. Click the + next to the proxysql collector to add a new job.
  6. Fill in the job fields, then click Test to verify the configuration and Submit to save.
    • Test runs the job with the provided settings and shows whether data can be collected.
    • If it fails, an error message appears with details (for example, connection refused, timeout, or command execution errors), so you can adjust and retest.

via File

The configuration file name for this integration is go.d/proxysql.conf.

The file format is YAML. Generally, the structure is:

update_every: 1
autodetection_retry: 0
jobs:
- name: some_name1
- name: some_name2

You can edit the configuration file using the edit-config script from the Netdata config directory.

cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config go.d/proxysql.conf
Examples
TCP socket

An example configuration.

Config
jobs:
- name: local
dsn: stats:stats@tcp(127.0.0.1:6032)/

my.cnf

An example configuration.

Config
jobs:
- name: local
my.cnf: '/etc/my.cnf'

Multi-instance

Note: When you define multiple jobs, their names must be unique.

Local and remote instances.

Config
jobs:
- name: local
dsn: stats:stats@tcp(127.0.0.1:6032)/

- name: remote
dsn: stats:stats@tcp(203.0.113.0:6032)/

Troubleshooting

Debug Mode

Important: Debug mode is not supported for data collection jobs created via the UI using the Dyncfg feature.

To troubleshoot issues with the proxysql collector, run the go.d.plugin with the debug option enabled. The output should give you clues as to why the collector isn't working.

  • Navigate to the plugins.d directory, usually at /usr/libexec/netdata/plugins.d/. If that's not the case on your system, open netdata.conf and look for the plugins setting under [directories].

    cd /usr/libexec/netdata/plugins.d/
  • Switch to the netdata user.

    sudo -u netdata -s
  • Run the go.d.plugin to debug the collector:

    ./go.d.plugin -d -m proxysql

    To debug a specific job:

    ./go.d.plugin -d -m proxysql -j jobName

Getting Logs

If you're encountering problems with the proxysql collector, follow these steps to retrieve logs and identify potential issues:

  • Run the command specific to your system (systemd, non-systemd, or Docker container).
  • Examine the output for any warnings or error messages that might indicate issues. These messages should provide clues about the root cause of the problem.

System with systemd

Use the following command to view logs generated since the last Netdata service restart:

journalctl _SYSTEMD_INVOCATION_ID="$(systemctl show --value --property=InvocationID netdata)" --namespace=netdata --grep proxysql

System without systemd

Locate the collector log file, typically at /var/log/netdata/collector.log, and use grep to filter for collector's name:

grep proxysql /var/log/netdata/collector.log

Note: This method shows logs from all restarts. Focus on the latest entries for troubleshooting current issues.

Docker Container

If your Netdata runs in a Docker container named "netdata" (replace if different), use this command:

docker logs netdata 2>&1 | grep proxysql

Do you have any feedback for this page? If so, you can open a new issue on our netdata/learn repository.