Semantic Conventions for Database Metrics

Status: Experimental

The conventions described in this section are specific to SQL and NoSQL clients.

Disclaimer: These are initial database client metric instruments and attributes but more may be added in the future.

Warning

Existing database instrumentations that are using v1.24.0 of this document (or prior):

  • SHOULD NOT change the version of the database conventions that they emit until the database semantic conventions are marked stable. Conventions include, but are not limited to, attributes, metric and span names, and unit of measure.
  • SHOULD introduce an environment variable OTEL_SEMCONV_STABILITY_OPT_IN in the existing major version which is a comma-separated list of values. If the list of values includes:
    • database - emit the new, stable database conventions, and stop emitting the old experimental database conventions that the instrumentation emitted previously.
    • database/dup - emit both the old and the stable database conventions, allowing for a seamless transition.
    • The default behavior (in the absence of one of these values) is to continue emitting whatever version of the old experimental database conventions the instrumentation was emitting previously.
    • Note: database/dup has higher precedence than database in case both values are present
  • SHOULD maintain (security patching at a minimum) the existing major version for at least six months after it starts emitting both sets of conventions.
  • SHOULD drop the environment variable in the next major version.

Database operation

Metric: db.client.operation.duration

Status: Experimental

This metric is required.

When this metric is reported alongside a database operation span, the metric value SHOULD be the same as the database operation span duration.

This metric SHOULD be specified with ExplicitBucketBoundaries of [ 0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1, 5, 10 ].

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.operation.durationHistogramsDuration of database client operations.Experimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.systemstringThe database management system (DBMS) product as identified by the client instrumentation. [1]other_sql; mssql; mssqlcompactRequiredExperimental
db.collection.namestringThe name of a collection (table, container) within the database. [2]public.users; customersConditionally Required [3]Experimental
db.namespacestringThe name of the database, fully qualified within the server address and port. [4]customers; test.usersConditionally Required If available.Experimental
db.operation.namestringThe name of the operation or command being executed. [5]findAndModify; HMSET; SELECTConditionally Required [6]Experimental
error.typestringDescribes a class of error the operation ended with. [7]timeout; java.net.UnknownHostException; server_certificate_invalid; 500Conditionally Required If and only if the operation failed.Stable
server.portintServer port number. [8]80; 8080; 443Conditionally Required [9]Stable
network.peer.addressstringPeer address of the database node where the operation was performed. [10]10.1.2.80; /tmp/my.sockRecommended If applicable for this database system.Stable
network.peer.portintPeer port number of the network connection.65123Recommended If and only if network.peer.address is set.Stable
server.addressstringName of the database host. [11]example.com; 10.1.2.80; /tmp/my.sockRecommendedStable

[1]: The actual DBMS may differ from the one identified by the client. For example, when using PostgreSQL client libraries to connect to a CockroachDB, the db.system is set to postgresql based on the instrumentation’s best knowledge.

[2]: If the collection name is parsed from the query, it SHOULD match the value provided in the query and may be qualified with the schema and database name. It is RECOMMENDED to capture the value as provided by the application without attempting to do any case normalization.

[3]: If readily available. Otherwise, if the instrumentation library parses db.query.text to capture db.collection.name, then it SHOULD be the first collection name found in the query.

[4]: If a database system has multiple namespace components, they SHOULD be concatenated (potentially using database system specific conventions) from most general to most specific namespace component, and more specific namespaces SHOULD NOT be captured without the more general namespaces, to ensure that “startswith” queries for the more general namespaces will be valid. Semantic conventions for individual database systems SHOULD document what db.namespace means in the context of that system. It is RECOMMENDED to capture the value as provided by the application without attempting to do any case normalization.

[5]: It is RECOMMENDED to capture the value as provided by the application without attempting to do any case normalization.

[6]: If readily available. Otherwise, if the instrumentation library parses db.query.text to capture db.operation.name, then it SHOULD be the first operation name found in the query.

[7]: The error.type SHOULD match the error code returned by the database or the client library, the canonical name of exception that occurred, or another low-cardinality error identifier. Instrumentations SHOULD document the list of errors they report.

[8]: When observed from the client side, and when communicating through an intermediary, server.port SHOULD represent the server port behind any intermediaries, for example proxies, if it’s available.

[9]: If using a port other than the default port for this DBMS and if server.address is set.

[10]: Semantic conventions for individual database systems SHOULD document whether network.peer.* attributes are applicable. Network peer address and port are useful when the application interacts with individual database nodes directly. If a database operation involved multiple network calls (for example retries), the address of the last contacted node SHOULD be used.

[11]: When observed from the client side, and when communicating through an intermediary, server.address SHOULD represent the server address behind any intermediaries, for example proxies, if it’s available.

db.system has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

ValueDescriptionStability
other_sqlSome other SQL database. Fallback only. See notes.Experimental
mssqlMicrosoft SQL ServerExperimental
mssqlcompactMicrosoft SQL Server CompactExperimental
mysqlMySQLExperimental
oracleOracle DatabaseExperimental
db2IBM Db2Experimental
postgresqlPostgreSQLExperimental
redshiftAmazon RedshiftExperimental
hiveApache HiveExperimental
cloudscapeCloudscapeExperimental
hsqldbHyperSQL DataBaseExperimental
progressProgress DatabaseExperimental
maxdbSAP MaxDBExperimental
hanadbSAP HANAExperimental
ingresIngresExperimental
firstsqlFirstSQLExperimental
edbEnterpriseDBExperimental
cacheInterSystems CachéExperimental
adabasAdabas (Adaptable Database System)Experimental
firebirdFirebirdExperimental
derbyApache DerbyExperimental
filemakerFileMakerExperimental
informixInformixExperimental
instantdbInstantDBExperimental
interbaseInterBaseExperimental
mariadbMariaDBExperimental
netezzaNetezzaExperimental
pervasivePervasive PSQLExperimental
pointbasePointBaseExperimental
sqliteSQLiteExperimental
sybaseSybaseExperimental
teradataTeradataExperimental
verticaVerticaExperimental
h2H2Experimental
coldfusionColdFusion IMQExperimental
cassandraApache CassandraExperimental
hbaseApache HBaseExperimental
mongodbMongoDBExperimental
redisRedisExperimental
couchbaseCouchbaseExperimental
couchdbCouchDBExperimental
cosmosdbMicrosoft Azure Cosmos DBExperimental
dynamodbAmazon DynamoDBExperimental
neo4jNeo4jExperimental
geodeApache GeodeExperimental
elasticsearchElasticsearchExperimental
memcachedMemcachedExperimental
cockroachdbCockroachDBExperimental
opensearchOpenSearchExperimental
clickhouseClickHouseExperimental
spannerCloud SpannerExperimental
trinoTrinoExperimental

error.type has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

ValueDescriptionStability
_OTHERA fallback error value to be used when the instrumentation doesn’t define a custom value.Stable

Connection pools

The following metric instruments describe database client connection pool operations.

Metric: db.client.connection.count

This metric is required.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.countUpDownCounter{connection}The number of connections that are currently in state described by the state attributeExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental
db.client.connections.statestringThe state of a connection in the poolidleRequiredExperimental

db.client.connections.state has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

ValueDescriptionStability
idleidleExperimental
usedusedExperimental

Metric: db.client.connection.idle.max

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.idle.maxUpDownCounter{connection}The maximum number of idle open connections allowedExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.idle.min

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.idle.minUpDownCounter{connection}The minimum number of idle open connections allowedExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.max

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.maxUpDownCounter{connection}The maximum number of open connections allowedExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.pending_requests

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.pending_requestsUpDownCounter{request}The number of pending requests for an open connection, cumulative for the entire poolExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.timeouts

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.timeoutsCounter{timeout}The number of connection timeouts that have occurred trying to obtain a connection from the poolExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.create_time

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.create_timeHistogramsThe time it took to create a new connectionExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.wait_time

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.wait_timeHistogramsThe time it took to obtain an open connection from the poolExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental

Metric: db.client.connection.use_time

This metric is recommended.

NameInstrument TypeUnit (UCUM)DescriptionStability
db.client.connection.use_timeHistogramsThe time between borrowing a connection and returning it to the poolExperimental
AttributeTypeDescriptionExamplesRequirement LevelStability
db.client.connections.pool.namestringThe name of the connection pool; unique within the instrumented application. In case the connection pool implementation doesn’t provide a name, instrumentation should use a combination of server.address and server.port attributes formatted as server.address:server.port.myDataSourceRequiredExperimental