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The Custom Chart debug page in the DB Console lets you create one or multiple custom charts showing any combination of available metrics. The definition of the customized dashboard is encoded in the URL. To share the dashboard with someone, send them the URL. Like any other URL, it can be bookmarked, sit in a pinned tab in your browser, etc. To view the Custom Chart page, , click Advanced Debug In the left-hand navigation bar, and in the Reports section select Custom Time Series Chart.

Use the Custom Chart page

DB Console On the Custom Chart page, you can set the time span for all charts, add new custom charts, and customize each chart:
  • To set the time span for the page, use the dropdown menu above the charts and select the desired time span. In addition, once you have selected a metric to display, you can drag within the chart itself to a set a custom time range.
  • To add a chart, click Add Chart and customize the new chart.
  • To customize each chart, use the Units dropdown menu to set the units to display. Then use the table below the chart to select the metrics being queried, and how they’ll be combined and displayed. Options include:
Column Description
Metric Name How the system refers to this metric, e.g., sql.bytesin.
Downsampler

The “Downsampler” operation is used to combine the individual datapoints over the longer period into a single datapoint. We store one data point every ten seconds, but for queries over long time spans the backend lowers the resolution of the returned data, perhaps only returning one data point for every minute, five minutes, or even an entire hour in the case of the 30 day view.

Options:

  • AVG: Returns the average value over the time period.
  • MIN: Returns the lowest value seen.
  • MAX: Returns the highest value seen.
  • SUM: Returns the sum of all values seen.

Aggregator

Used to combine data points from different nodes. It has the same operations available as the Downsampler.

Options:

  • AVG: Returns the average value over the time period.
  • MIN: Returns the lowest value seen.
  • MAX: Returns the highest value seen.
  • SUM: Returns the sum of all values seen.

Rate

Determines how to display the rate of change during the selected time period.

Options:

  • Normal: Returns the actual recorded value.
  • Rate: Returns the rate of change of the value per second.
  • Non-negative Rate: Returns the rate-of-change, but returns 0 instead of negative values. A large number of the stats we track are actually tracked as monotonically increasing counters so each sample is just the total value of that counter. The rate of change of that counter represents the rate of events being counted, which is usually what you want to graph. “Non-negative Rate” is needed because the counters are stored in memory, and thus if a node resets it goes back to zero (whereas normally they only increase).

Source The set of nodes being queried, which is either:
  • The entire cluster.
  • A single, named node.
Per Node If checked, the chart will show a line for each node’s value of this metric.

Examples

Query user and system CPU usage

DB Console To compare system vs. userspace CPU usage, select the following values under Metric Name:
  • sys.cpu.sys.percent
  • sys.cpu.user.percent
The Y-axis label is the Count. A count of 1 represents 100% utilization. The Aggregator of Sum can show the count to be above 1, which would mean CPU utilization is greater than 100%. Checking Per Node displays statistics for each node, which could show whether an individual node’s CPU usage was higher or lower than the average.

Essential Metrics to Monitor

For important metrics to visualize in a custom dashboard, refer to:

Available metrics

Some of the metrics listed below are already visible in other areas of the .
CockroachDB Metric NameDescriptionTypeUnit
addsstable.delay.total
Amount by which evaluation of AddSSTable requests was delayedCOUNTERNANOSECONDS
addsstable.proposals
Number of SSTable ingestions proposed (i.e. sent to Raft by lease holders)COUNTERCOUNT
admission.io.overload
1-normalized float indicating whether IO admission control considers the store as overloaded with respect to compaction out of L0 (considers sub-level and file counts).GAUGEPERCENT
admission.wait_durations.kv
Wait time durations for requests that waitedHISTOGRAMNANOSECONDS
admission.wait_durations.kv-stores
Wait time durations for requests that waitedHISTOGRAMNANOSECONDS
auth.cert.conn.latency
Latency to establish and authenticate a SQL connection using certificateHISTOGRAMNANOSECONDS
auth.gss.conn.latency
Latency to establish and authenticate a SQL connection using GSSHISTOGRAMNANOSECONDS
auth.jwt.conn.latency
Latency to establish and authenticate a SQL connection using JWT TokenHISTOGRAMNANOSECONDS
auth.ldap.conn.latency
Latency to establish and authenticate a SQL connection using LDAPHISTOGRAMNANOSECONDS
auth.ldap.conn.latency.internal
Internal Auth Latency to establish and authenticate a SQL connection using LDAP(excludes external LDAP calls)HISTOGRAMNANOSECONDS
auth.password.conn.latency
Latency to establish and authenticate a SQL connection using passwordHISTOGRAMNANOSECONDS
auth.scram.conn.latency
Latency to establish and authenticate a SQL connection using SCRAMHISTOGRAMNANOSECONDS
capacity
Total storage capacityGAUGEBYTES
capacity.available
Available storage capacityGAUGEBYTES
capacity.used
Used storage capacityGAUGEBYTES
changefeed.backfill_count
Number of changefeeds currently executing backfillGAUGECOUNT
changefeed.commit_latency
Event commit latency: a difference between event MVCC timestamp and the time it was acknowledged by the downstream sink. If the sink batches events, then the difference between the oldest event in the batch and acknowledgement is recorded. Excludes latency during backfill.HISTOGRAMNANOSECONDS
changefeed.emitted_bytes
Bytes emitted by all feedsCOUNTERBYTES
changefeed.emitted_messages
Messages emitted by all feedsCOUNTERCOUNT
changefeed.error_retries
Total retryable errors encountered by all changefeedsCOUNTERCOUNT
changefeed.failures
Total number of changefeed jobs which have failedCOUNTERCOUNT
changefeed.max_behind_nanos
The most any changefeed’s persisted checkpoint is behind the presentGAUGENANOSECONDS
changefeed.running
Number of currently running changefeeds, including sinklessGAUGECOUNT
clock-offset.meannanos
Mean clock offset with other nodesGAUGENANOSECONDS
distsender.errors.notleaseholder
Number of NotLeaseHolderErrors encountered from replica-addressed RPCsCOUNTERCOUNT
distsender.rpc.sent.nextreplicaerror
Number of replica-addressed RPCs sent due to per-replica errorsCOUNTERCOUNT
exec.latency
Latency of batch KV requests (including errors) executed on this node. This measures requests already addressed to a single replica, from the moment at which they arrive at the internal gRPC endpoint to the moment at which the response (or an error) is returned. This latency includes in particular commit waits, conflict resolution and replication, and end-users can easily produce high measurements via long-running transactions that conflict with foreground traffic. This metric thus does not provide a good signal for understanding the health of the KV layer.HISTOGRAMNANOSECONDS
go.scheduler_latency
Go scheduling latencyHISTOGRAMNANOSECONDS
intentcount
Count of intent keysGAUGECOUNT
jobs.auto_create_partial_stats.currently_paused
Number of auto_create_partial_stats jobs currently considered PausedGAUGECOUNT
jobs.auto_create_partial_stats.currently_running
Number of auto_create_partial_stats jobs currently running in Resume or OnFailOrCancel stateGAUGECOUNT
jobs.auto_create_partial_stats.resume_failed
Number of auto_create_partial_stats jobs which failed with a non-retriable errorCOUNTERCOUNT
jobs.auto_create_stats.currently_paused
Number of auto_create_stats jobs currently considered PausedGAUGECOUNT
jobs.auto_create_stats.currently_running
Number of auto_create_stats jobs currently running in Resume or OnFailOrCancel stateGAUGECOUNT
jobs.auto_create_stats.resume_failed
Number of auto_create_stats jobs which failed with a non-retriable errorCOUNTERCOUNT
jobs.backup.currently_paused
Number of backup jobs currently considered PausedGAUGECOUNT
jobs.backup.currently_running
Number of backup jobs currently running in Resume or OnFailOrCancel stateGAUGECOUNT
jobs.changefeed.currently_paused
Number of changefeed jobs currently considered PausedGAUGECOUNT
jobs.changefeed.protected_age_sec
The age of the oldest PTS record protected by changefeed jobsGAUGESECONDS
jobs.create_stats.currently_running
Number of create_stats jobs currently running in Resume or OnFailOrCancel stateGAUGECOUNT
jobs.row_level_ttl.currently_paused
Number of row_level_ttl jobs currently considered PausedGAUGECOUNT
jobs.row_level_ttl.currently_running
Number of row_level_ttl jobs currently running in Resume or OnFailOrCancel stateGAUGECOUNT
jobs.row_level_ttl.delete_duration
Duration for delete requests during row level TTL.HISTOGRAMNANOSECONDS
jobs.row_level_ttl.num_active_spans
Number of active spans the TTL job is deleting from.GAUGECOUNT
jobs.row_level_ttl.resume_completed
Number of row_level_ttl jobs which successfully resumed to completionCOUNTERCOUNT
jobs.row_level_ttl.resume_failed
Number of row_level_ttl jobs which failed with a non-retriable errorCOUNTERCOUNT
jobs.row_level_ttl.rows_deleted
Number of rows deleted by the row level TTL job.COUNTERCOUNT
jobs.row_level_ttl.rows_selected
Number of rows selected for deletion by the row level TTL job.COUNTERCOUNT
jobs.row_level_ttl.select_duration
Duration for select requests during row level TTL.HISTOGRAMNANOSECONDS
jobs.row_level_ttl.span_total_duration
Duration for processing a span during row level TTL.HISTOGRAMNANOSECONDS
jobs.row_level_ttl.total_expired_rows
Approximate number of rows that have expired the TTL on the TTL table.GAUGECOUNT
jobs.row_level_ttl.total_rows
Approximate number of rows on the TTL table.GAUGECOUNT
kv.concurrency.locks
Number of active locks held in lock tables. Does not include replicated locks (intents) that are not held in memoryGAUGECOUNT
kv.rangefeed.catchup_scan_nanos
Time spent in RangeFeed catchup scanCOUNTERNANOSECONDS
leases.epoch
Number of replica leaseholders using epoch-based leasesGAUGECOUNT
leases.expiration
Number of replica leaseholders using expiration-based leasesGAUGECOUNT
leases.leader
Number of replica leaseholders using leader leasesGAUGECOUNT
leases.liveness
Number of replica leaseholders for the liveness range(s)GAUGECOUNT
leases.transfers.error
Number of failed lease transfersCOUNTERCOUNT
leases.transfers.success
Number of successful lease transfersCOUNTERCOUNT
livebytes
Number of bytes of live data (keys plus values)GAUGEBYTES
liveness.heartbeatfailures
Number of failed node liveness heartbeats from this nodeCOUNTERCOUNT
liveness.heartbeatlatency
Node liveness heartbeat latencyHISTOGRAMNANOSECONDS
liveness.livenodes
Number of live nodes in the cluster (will be 0 if this node is not itself live)GAUGECOUNT
logical_replication.commit_latency
Event commit latency: a difference between event MVCC timestamp and the time it was flushed into disk. If we batch events, then the difference between the oldest event in the batch and flush is recordedHISTOGRAMNANOSECONDS
logical_replication.events_dlqed
Row update events sent to DLQCOUNTERCOUNT
logical_replication.events_ingested
Events ingested by all replication jobsCOUNTERCOUNT
logical_replication.logical_bytes
Logical bytes (sum of keys + values) received by all replication jobsCOUNTERBYTES
logical_replication.replicated_time_seconds
The replicated time of the logical replication stream in seconds since the unix epoch.GAUGESECONDS
physical_replication.logical_bytes
Logical bytes (sum of keys + values) ingested by all replication jobsCOUNTERBYTES
physical_replication.replicated_time_seconds
The replicated time of the physical replication stream in seconds since the unix epoch.GAUGESECONDS
queue.gc.pending
Number of pending replicas in the MVCC GC queueGAUGECOUNT
queue.gc.process.failure
Number of replicas which failed processing in the MVCC GC queueCOUNTERCOUNT
queue.lease.pending
Number of pending replicas in the replica lease queueGAUGECOUNT
queue.merge.pending
Number of pending replicas in the merge queueGAUGECOUNT
queue.merge.process.failure
Number of replicas which failed processing in the merge queueCOUNTERCOUNT
queue.merge.process.success
Number of replicas successfully processed by the merge queueCOUNTERCOUNT
queue.merge.processingnanos
Nanoseconds spent processing replicas in the merge queueCOUNTERNANOSECONDS
queue.raftlog.pending
Number of pending replicas in the Raft log queueGAUGECOUNT
queue.raftlog.process.failure
Number of replicas which failed processing in the Raft log queueCOUNTERCOUNT
queue.raftlog.process.success
Number of replicas successfully processed by the Raft log queueCOUNTERCOUNT
queue.raftlog.processingnanos
Nanoseconds spent processing replicas in the Raft log queueCOUNTERNANOSECONDS
queue.replicagc.pending
Number of pending replicas in the replica GC queueGAUGECOUNT
queue.replicagc.process.failure
Number of replicas which failed processing in the replica GC queueCOUNTERCOUNT
queue.replicagc.process.success
Number of replicas successfully processed by the replica GC queueCOUNTERCOUNT
queue.replicate.pending
Number of pending replicas in the replicate queueGAUGECOUNT
queue.replicate.process.failure
Number of replicas which failed processing in the replicate queueCOUNTERCOUNT
queue.replicate.process.success
Number of replicas successfully processed by the replicate queueCOUNTERCOUNT
queue.replicate.replacedecommissioningreplica.error
Number of failed decommissioning replica replacements processed by the replicate queueCOUNTERCOUNT
raft.scheduler.latency
Queueing durations for ranges waiting to be processed by the Raft scheduler. This histogram measures the delay from when a range is registered with the scheduler for processing to when it is actually processed. This does not include the duration of processing.HISTOGRAMNANOSECONDS
raftlog.behind
Number of Raft log entries followers on other stores are behind. This gauge provides a view of the aggregate number of log entries the Raft leaders on this node think the followers are behind. Since a raft leader may not always have a good estimate for this information for all of its followers, and since followers are expected to be behind (when they are not required as part of a quorum) *and* the aggregate thus scales like the count of such followers, it is difficult to meaningfully interpret this metric.GAUGECOUNT
range.adds
Number of range additionsCOUNTERCOUNT
range.merges
Number of range mergesCOUNTERCOUNT
range.snapshots.send-queue
Number of snapshots queued to sendGAUGECOUNT
range.splits
Number of range splitsCOUNTERCOUNT
ranges
Number of rangesGAUGECOUNT
ranges.decommissioning
Number of ranges with at lease one replica on a decommissioning nodeGAUGECOUNT
ranges.unavailable
Number of ranges with fewer live replicas than needed for quorumGAUGECOUNT
ranges.underreplicated
Number of ranges with fewer live replicas than the replication targetGAUGECOUNT
rebalancing.cpunanospersecond
Average CPU nanoseconds spent on processing replica operations in the last 30 minutes.GAUGENANOSECONDS
rebalancing.lease.transfers
Number of lease transfers motivated by store-level load imbalancesCOUNTERCOUNT
rebalancing.queriespersecond
Number of kv-level requests received per second by the store, considering the last 30 minutes, as used in rebalancing decisions.GAUGECOUNT
rebalancing.range.rebalances
Number of range rebalance operations motivated by store-level load imbalancesCOUNTERCOUNT
rebalancing.replicas.cpunanospersecond
Histogram of average CPU nanoseconds spent on processing replica operations in the last 30 minutes.HISTOGRAMNANOSECONDS
rebalancing.replicas.queriespersecond
Histogram of average kv-level requests received per second by replicas on the store in the last 30 minutes.HISTOGRAMCOUNT
replicas
Number of replicasGAUGECOUNT
replicas.leaseholders
Number of lease holdersGAUGECOUNT
requests.slow.latch
Number of requests that have been stuck for a long time acquiring latches. Latches moderate access to the KV keyspace for the purpose of evaluating and replicating commands. A slow latch acquisition attempt is often caused by another request holding and not releasing its latches in a timely manner. This in turn can either be caused by a long delay in evaluation (for example, under severe system overload) or by delays at the replication layer. This gauge registering a nonzero value usually indicates a serious problem and should be investigated.GAUGECOUNT
requests.slow.lease
Number of requests that have been stuck for a long time acquiring a lease. This gauge registering a nonzero value usually indicates range or replica unavailability, and should be investigated. In the common case, we also expect to see ‘requests.slow.raft’ to register a nonzero value, indicating that the lease requests are not getting a timely response from the replication layer.GAUGECOUNT
requests.slow.raft
Number of requests that have been stuck for a long time in the replication layer. An (evaluated) request has to pass through the replication layer, notably the quota pool and raft. If it fails to do so within a highly permissive duration, the gauge is incremented (and decremented again once the request is either applied or returns an error). A nonzero value indicates range or replica unavailability, and should be investigated.GAUGECOUNT
rocksdb.block.cache.hits
Count of block cache hitsCOUNTERCOUNT
rocksdb.block.cache.misses
Count of block cache missesCOUNTERCOUNT
rocksdb.compactions
Number of table compactionsCOUNTERCOUNT
rocksdb.read-amplification
Number of disk reads per queryGAUGECONST
round-trip-latency
Distribution of round-trip latencies with other nodes. This only reflects successful heartbeats and measures gRPC overhead as well as possible head-of-line blocking. Elevated values in this metric may hint at network issues and/or saturation, but they are no proof of them. CPU overload can similarly elevate this metric. The operator should look towards OS-level metrics such as packet loss, retransmits, etc, to conclusively diagnose network issues. Heartbeats are not very frequent (~seconds), so they may not capture rare or short-lived degradations.HISTOGRAMNANOSECONDS
rpc.connection.avg_round_trip_latency
Sum of exponentially weighted moving average of round-trip latencies, as measured through a gRPC RPC. Since this metric is based on gRPC RPCs, it is affected by application-level processing delays and CPU overload effects. See rpc.connection.tcp_rtt for a metric that is obtained from the kernel’s TCP stack. Dividing this Gauge by rpc.connection.healthy gives an approximation of average latency, but the top-level round-trip-latency histogram is more useful. Instead, users should consult the label families of this metric if they are available (which requires prometheus and the cluster setting ‘server.child_metrics.enabled’); these provide per-peer moving averages. This metric does not track failed connection. A failed connection’s contribution is reset to zero.GAUGENANOSECONDS
rpc.connection.failures
Counter of failed connections. This includes both the event in which a healthy connection terminates as well as unsuccessful reconnection attempts. Connections that are terminated as part of local node shutdown are excluded. Decommissioned peers are excluded.COUNTERCOUNT
rpc.connection.healthy
Gauge of current connections in a healthy state (i.e. bidirectionally connected and heartbeating)GAUGECOUNT
rpc.connection.healthy_nanos
Gauge of nanoseconds of healthy connection time On the prometheus endpoint scraped with the cluster setting ‘server.child_metrics.enabled’ set, the constituent parts of this metric are available on a per-peer basis and one can read off for how long a given peer has been connectedGAUGENANOSECONDS
rpc.connection.heartbeats
Counter of successful heartbeats.COUNTERCOUNT
rpc.connection.tcp_rtt
Kernel-level TCP round-trip time as measured by the Linux TCP stack. This metric reports the smoothed round-trip time (SRTT) as maintained by the kernel’s TCP implementation. Unlike application-level RPC latency measurements, this reflects pure network latency and is less affected by CPU overload effects. This metric is only available on Linux.GAUGENANOSECONDS
rpc.connection.tcp_rtt_var
Kernel-level TCP round-trip time variance as measured by the Linux TCP stack. This metric reports the smoothed round-trip time variance (RTTVAR) as maintained by the kernel’s TCP implementation. This measures the stability of the connection latency. This metric is only available on Linux.GAUGENANOSECONDS
rpc.connection.unhealthy
Gauge of current connections in an unhealthy state (not bidirectionally connected or heartbeating)GAUGECOUNT
rpc.connection.unhealthy_nanos
Gauge of nanoseconds of unhealthy connection time. On the prometheus endpoint scraped with the cluster setting ‘server.child_metrics.enabled’ set, the constituent parts of this metric are available on a per-peer basis and one can read off for how long a given peer has been unreachableGAUGENANOSECONDS
schedules.BACKUP.failed
Number of BACKUP jobs failedCOUNTERCOUNT
schedules.BACKUP.last-completed-time
The unix timestamp of the most recently completed backup by a schedule specified as maintaining this metricGAUGETIMESTAMP_SEC
schedules.scheduled-row-level-ttl-executor.failed
Number of scheduled-row-level-ttl-executor jobs failedCOUNTERCOUNT
seconds.until.enterprise.license.expiry
Seconds until enterprise license expiry (0 if no license present or running without enterprise features)GAUGETIMESTAMP_SEC
security.certificate.expiration.ca
Expiration for the CA certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.ca-client-tenant
Expiration for the Tenant Client CA certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.client
Minimum expiration for client certificates, labeled by SQL user. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.client-ca
Expiration for the client CA certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.client-tenant
Expiration for the Tenant Client certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.node
Expiration for the node certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.node-client
Expiration for the node’s client certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.ui
Expiration for the UI certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.expiration.ui-ca
Expiration for the UI CA certificate. 0 means no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.ca
Seconds till expiration for the CA certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.ca-client-tenant
Seconds till expiration for the Tenant Client CA certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.client
Seconds till expiration for the client certificates, labeled by SQL user. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.client-ca
Seconds till expiration for the client CA certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.client-tenant
Seconds till expiration for the Tenant Client certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.node
Seconds till expiration for the node certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.node-client
Seconds till expiration for the node’s client certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.ui
Seconds till expiration for the UI certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
security.certificate.ttl.ui-ca
Seconds till expiration for the UI CA certificate. 0 means expired, no certificate or error.GAUGETIMESTAMP_SEC
sql.conn.failures
Number of SQL connection failuresCOUNTERCOUNT
sql.conn.latency
Latency to establish and authenticate a SQL connectionHISTOGRAMNANOSECONDS
sql.conns
Number of open SQL connectionsGAUGECOUNT
sql.ddl.count
Number of SQL DDL statements successfully executedCOUNTERCOUNT
sql.delete.count
Number of SQL DELETE statements successfully executedCOUNTERCOUNT
sql.distsql.contended_queries.count
Number of SQL queries that experienced contentionCOUNTERCOUNT
sql.exec.latency
Latency of SQL statement executionHISTOGRAMNANOSECONDS
sql.failure.count
Number of statements resulting in a planning or runtime errorCOUNTERCOUNT
sql.full.scan.count
Number of full table or index scansCOUNTERCOUNT
sql.insert.count
Number of SQL INSERT statements successfully executedCOUNTERCOUNT
sql.mem.root.current
Current sql statement memory usage for rootGAUGEBYTES
sql.new_conns
Number of SQL connections createdCOUNTERCOUNT
sql.query.count
Number of SQL operations started including queries, and transaction control statementsCOUNTERCOUNT
sql.routine.delete.count
Number of SQL DELETE statements successfully executed within routine invocationCOUNTERCOUNT
sql.routine.insert.count
Number of SQL INSERT statements successfully executed within routine invocationCOUNTERCOUNT
sql.routine.select.count
Number of SQL SELECT statements successfully executed within routine invocationCOUNTERCOUNT
sql.routine.update.count
Number of SQL UPDATE statements successfully executed within routine invocationCOUNTERCOUNT
sql.select.count
Number of SQL SELECT statements successfully executedCOUNTERCOUNT
sql.service.latency
Latency of SQL request executionHISTOGRAMNANOSECONDS
sql.statements.active
Number of currently active user SQL statementsGAUGECOUNT
sql.txn.abort.count
Number of SQL transaction abort errorsCOUNTERCOUNT
sql.txn.begin.count
Number of SQL transaction BEGIN statements successfully executedCOUNTERCOUNT
sql.txn.commit.count
Number of SQL transaction COMMIT statements successfully executedCOUNTERCOUNT
sql.txn.latency
Latency of SQL transactionsHISTOGRAMNANOSECONDS
sql.txn.rollback.count
Number of SQL transaction ROLLBACK statements successfully executedCOUNTERCOUNT
sql.txns.open
Number of currently open user SQL transactionsGAUGECOUNT
sql.update.count
Number of SQL UPDATE statements successfully executedCOUNTERCOUNT
storage.disk-slow
Number of instances of disk operations taking longer than 10sCOUNTERCOUNT
storage.disk-stalled
Number of instances of disk operations taking longer than 20sCOUNTERCOUNT
storage.disk.iopsinprogress
IO operations currently in progress on the store’s disk (as reported by the OS)GAUGECOUNT
storage.disk.read-max.bytespersecond
Maximum rate at which bytes were read from disk (as reported by the OS)GAUGEBYTES
storage.disk.read.bytes
Bytes read from the store’s disk since this process started (as reported by the OS)COUNTERBYTES
storage.disk.read.count
Disk read operations on the store’s disk since this process started (as reported by the OS)COUNTERCOUNT
storage.disk.write-max.bytespersecond
Maximum rate at which bytes were written to disk (as reported by the OS)GAUGEBYTES
storage.disk.write.bytes
Bytes written to the store’s disk since this process started (as reported by the OS)COUNTERBYTES
storage.disk.write.count
Disk write operations on the store’s disk since this process started (as reported by the OS)COUNTERCOUNT
storage.keys.tombstone.count
Approximate count of DEL, SINGLEDEL and RANGEDEL internal keys across the storage engine.GAUGECOUNT
storage.l0-level-size
Size of the SSTables in level 0GAUGEBYTES
storage.wal.failover.switch.count
Count of the number of times WAL writing has switched from primary to secondary and vice versa.COUNTERCOUNT
storage.wal.failover.write_and_sync.latency
The observed latency for writing and syncing to the logical Write-Ahead Log.HISTOGRAMNANOSECONDS
storage.wal.fsync.latency
The fsync latency to the Write-Ahead Log device.HISTOGRAMNANOSECONDS
storage.write-stall-nanos
Total write stall duration in nanosCOUNTERNANOSECONDS
storage.write-stalls
Number of instances of intentional write stalls to backpressure incoming writesCOUNTERCOUNT
storeliveness.heartbeat.failures
Number of Store Liveness heartbeats that failed to be sent out by the Store Liveness Support ManagerCOUNTERCOUNT
sys.cgo.allocbytes
Current bytes of memory allocated by cgoGAUGEBYTES
sys.cgo.totalbytes
Total bytes of memory allocated by cgo, but not releasedGAUGEBYTES
sys.cpu.combined.percent-normalized
Current user+system cpu percentage consumed by the CRDB process, normalized 0-1 by number of coresGAUGEPERCENT
sys.cpu.host.combined.percent-normalized
Current user+system cpu percentage across the whole machine, normalized 0-1 by number of coresGAUGEPERCENT
sys.cpu.sys.ns
Total system cpu time consumed by the CRDB processCOUNTERNANOSECONDS
sys.cpu.sys.percent
Current system cpu percentage consumed by the CRDB processGAUGEPERCENT
sys.cpu.user.ns
Total user cpu time consumed by the CRDB processCOUNTERNANOSECONDS
sys.cpu.user.percent
Current user cpu percentage consumed by the CRDB processGAUGEPERCENT
sys.gc.count
Total number of GC runsCOUNTERCOUNT
sys.gc.pause.ns
Total GC pauseCOUNTERNANOSECONDS
sys.gc.pause.percent
Current GC pause percentageGAUGEPERCENT
sys.go.allocbytes
Current bytes of memory allocated by goGAUGEBYTES
sys.go.heap.allocbytes
Cumulative bytes allocated for heap objects.COUNTERBYTES
sys.go.heap.heapfragmentbytes
Total heap fragmentation bytes, derived from bytes in in-use spans minus bytes allocatedGAUGEBYTES
sys.go.totalbytes
Total bytes of memory allocated by go, but not releasedGAUGEBYTES
sys.goroutines
Current number of goroutinesGAUGECOUNT
sys.host.disk.iopsinprogress
IO operations currently in progress on this host (as reported by the OS)GAUGECOUNT
sys.host.disk.read.bytes
Bytes read from all disks since this process started (as reported by the OS)COUNTERBYTES
sys.host.disk.read.count
Disk read operations across all disks since this process started (as reported by the OS)COUNTERCOUNT
sys.host.disk.write.bytes
Bytes written to all disks since this process started (as reported by the OS)COUNTERBYTES
sys.host.disk.write.count
Disk write operations across all disks since this process started (as reported by the OS)COUNTERCOUNT
sys.host.net.recv.bytes
Bytes received on all network interfaces since this process started (as reported by the OS)COUNTERBYTES
sys.host.net.send.bytes
Bytes sent on all network interfaces since this process started (as reported by the OS)COUNTERBYTES
sys.host.net.send.tcp.retrans_segs
The number of TCP segments retransmitted across all network interfaces. This can indicate packet loss occurring in the network. However, it can also be caused by recipient nodes not consuming packets in a timely manner, or the local node overflowing its outgoing buffers, for example due to overload. Retransmissions also occur in the absence of problems, as modern TCP stacks err on the side of aggressively retransmitting segments. The linux tool ‘ss -i’ can show the Linux kernel’s smoothed view of round-trip latency and variance on a per-connection basis. Additionally, ‘netstat -s’ shows all TCP counters maintained by the kernel.COUNTERCOUNT
sys.rss
Current process RSSGAUGEBYTES
sys.runnable.goroutines.per.cpu
Average number of goroutines that are waiting to run, normalized by number of coresGAUGECOUNT
sys.totalmem
Total memory (both free and used)GAUGEBYTES
sys.uptime
Process uptimeCOUNTERSECONDS
txn.restarts
Number of restarted KV transactionsHISTOGRAMCOUNT
txn.restarts.serializable
Number of restarts due to a forwarded commit timestamp and isolation=SERIALIZABLECOUNTERCOUNT
txn.restarts.txnaborted
Number of restarts due to an abort by a concurrent transaction (usually due to deadlock)COUNTERCOUNT
txn.restarts.txnpush
Number of restarts due to a transaction push failureCOUNTERCOUNT
txn.restarts.unknown
Number of restarts due to a unknown reasonsCOUNTERCOUNT
txn.restarts.writetooold
Number of restarts due to a concurrent writer committing firstCOUNTERCOUNT
txnwaitqueue.deadlocks_total
Number of deadlocks detected by the txn wait queueCOUNTERCOUNT
Total metrics (225)

See also