Monitor with Percona Monitoring and Management (PMM)ĭeploy a standby cluster for Disaster Recovery Upgrade Percona Distribution for PostgreSQL and the Operator If you use the syntax $(NAME) in any setting value, it gets replaced by the content of NAME environment variable or left untouched if the NAME environment variable does not exist.Install on Google Kubernetes Engine (GKE) The configuration file supports environment variables replacement. Pool_id: 2 Environment variables replacement Required if you have configured multiple pgbouncers, # in order to export an unique set of metrics. pgbouncer # Extra labels to add to all metrics exported for this pgbouncer # instance. If omitted or empty, all # databases matching "include_databases" will be reported. # Databases to exclude from metrics reporting. If omitted or empty, all databases # will be reported. $(PGBOUNCER_PASS) is replaced with the content of "PGBOUNCER_PASS" environment # variable if exist, or left untouched if doesn't exist dsn: # The pgbouncer connection timeout in seconds (defaults to 5 seconds) connect_timeout: 5 # Databases to report metrics for. Supports environment variables replacement # Ie. # The host on which the exporter should listen to (defaults to 127.0.0.1) exporter_host: 0.0.0.0 # The port on which the exporter should listen to (defaults to 9100) exporter_port: 9100 # The list of pgbouncer instances to monitor pgbouncers: The exporter read the configuration from a yaml config file with the following syntax: Maximum number of allowed connections per-database (labels: database, backend_database)Ĭonfiguration of maximum number of allowed client connectionsĬonfiguration of maximum number of server connections per user Pgbouncer_databases_database_max_connections Total number of per-database Database connections count (labels: database, backend_database) Pgbouncer_databases_database_current_connections Pgbouncer_databases_database_reserve_pool_sizeĬonfigured reserve limit (labels: database, backend_database) ![]() How long the first (oldest) client in queue has waited, in seconds (labels: database, user)Ĭonfigured pool size limit (labels: database, backend_database) Server connections currently in logging in process (labels: database, user) ![]() Server connections that are currently running either server_reset_query or server_check_query (labels: database, user) Pgbouncer_pools_server_testing_connections Server connections that have been idle more than server_check_delay, so they needs server_check_query to run on it before it can be used (labels: database, user) Server connections that unused and immediately usable for client queries (labels: database, user) Server connections that linked to client (labels: database, user) Pgbouncer_pools_server_active_connections Pgbouncer_pools_client_waiting_connectionsĬlient connections have sent queries but have not yet got a server connection (labels: database, user) Pgbouncer_pools_client_active_connectionsĬlient connections that are linked to server connection and can process queries (labels: database, user) Includes time spent waiting for an available connection. Total number of microseconds spent in a transaction. Pgbouncer_stats_transactions_duration_microseconds Total number of SQL transactions pooled by pgbouncer (labels: database) Total volume in bytes of network traffic sent by pgbouncer (labels: database) Total volume in bytes of network traffic received by pgbouncer (labels: database) Total number of microseconds spent waiting for an available connection. Pgbouncer_stats_waiting_duration_microseconds Total number of microseconds spent waiting for a server to return a query response. Pgbouncer_stats_queries_duration_microseconds Total number of SQL queries pooled by pgbouncer (labels: database) The exporter exports the following metrics for each monitored pgbouncer instance: Metric name Ideally we want to run a single exporter instance per machine, capable to monitor 1+ pgbouncer(s) running on the machine itself. In high load environments, it's common practice to run multiple pgbouncer processes per machine (one for each CPU core) and load balance traffic among them. PgBouncer is a single thread application and so can only saturate a single CPU core on high load. Why supporting multiple pgbouncer instances? Allow to filter databases for which metrics are exported with include_databases and exclude_databases. ![]() Allow to configure timeouts on pgbouncer connections.Allow to configure extra labels for each pgbouncer instance.log-file LOG_FILE Path to log file or 'stdout' to log on console.
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