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PostgreSQL

Collect logs and metrics from PostgreSQL servers with Elastic Agent.

What is an Elastic integration?
Version
1.19.0 (View all)
Compatible Kibana version(s)
8.12.0 or higher
Supported Serverless project types

What's this?
Security
Observability
Subscription level
What's this?
Basic
Level of support
What's this?
Elastic

This integration periodically fetches logs and metrics from PostgreSQL servers.

Compatibility

The log integration was tested with logs from versions 9.5 on Ubuntu, 9.6 on Debian, and finally 10.11, 11.4 and 12.2 on Arch Linux 9.3. CSV format was tested using versions 11 and 13 (distro is not relevant here).

The activity, bgwriter, database and statement integrations were tested with PostgreSQL 9.5.3 and is expected to work with all versions >= 9.

Logs

log

The log integration collects the PostgreSQL logs in plain text format or CSV. AWS RDS PostgresSQL standard logs can also be collected by this integration.

Using CSV logs

Since the PostgreSQL CSV log file is a well-defined format, there is almost no configuration to be done in Fleet, just the filepath.

On the other hand, it's necessary to configure PostgreSQL to emit .csv logs.

The recommended parameters are:

logging_collector = 'on';
log_destination = 'csvlog';
log_statement = 'none';
log_checkpoints = on;
log_connections = on;
log_disconnections = on;
log_lock_waits = on;
log_min_duration_statement = 0;

In busy servers, log_min_duration_statement can cause contention, so you can assign a value greater than 0.

Both log_connections and log_disconnections can cause a lot of events if you don't have persistent connections, so enable with care.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.code
Error code describing the error.
keyword
error.id
Unique identifier for the error.
keyword
error.message
Error message.
match_only_text
event.category
This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.
keyword
event.code
Identification code for this event
keyword
event.dataset
Event dataset
constant_keyword
event.duration
Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.
long
event.ingested
Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.
date
event.kind
This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.
keyword
event.module
Event module
constant_keyword
event.timezone
This field should be populated when the event's timestamp does not include timezone information already (e.g. default Syslog timestamps). It's optional otherwise. Acceptable timezone formats are: a canonical ID (e.g. "Europe/Amsterdam"), abbreviated (e.g. "EST") or an HH:mm differential (e.g. "-05:00").
keyword
event.type
Event severity (e.g. info, error)
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
log.level
Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.
keyword
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
postgresql.log.application_name
Name of the application of this event. It is defined by the client.
keyword
postgresql.log.backend_type
Type of backend of this event. Possible types are autovacuum launcher, autovacuum worker, logical replication launcher, logical replication worker, parallel worker, background writer, client backend, checkpointer, startup, walreceiver, walsender and walwriter. In addition, background workers registered by extensions may have additional types.
keyword
postgresql.log.client_addr
Host where the connection originated from.
keyword
postgresql.log.client_port
Port where the connection originated from.
long
postgresql.log.command_tag
Type of session's current command. The complete list can be found at: src/include/tcop/cmdtaglist.h
keyword
postgresql.log.context
Error context.
keyword
postgresql.log.database
Name of database.
keyword
postgresql.log.detail
More information about the message, parameters in case of a parametrized query. e.g. 'Role "user" does not exist.', 'parameters: $1 = 42', etc.
keyword
postgresql.log.hint
A possible solution to solve an error.
keyword
postgresql.log.internal_query
Internal query that led to the error (if any).
keyword
postgresql.log.internal_query_pos
Character count of the internal query (if any).
long
postgresql.log.location
Location of the error in the PostgreSQL source code (if log_error_verbosity is set to verbose).
keyword
postgresql.log.query
Query statement. In the case of CSV parse, look at command_tag to get more context.
keyword
postgresql.log.query_name
Name given to a query when using extended query protocol. If it is "\<unnamed\>", or not present, this field is ignored.
keyword
postgresql.log.query_pos
Character count of the error position (if any).
long
postgresql.log.query_step
Statement step when using extended query protocol (one of statement, parse, bind or execute).
keyword
postgresql.log.session_id
PostgreSQL session.
keyword
postgresql.log.session_line_number
Line number inside a session. (%l in log_line_prefix).
long
postgresql.log.session_start_time
Time when this session started.
date
postgresql.log.sql_state_code
State code returned by Postgres (if any). See also https://www.postgresql.org/docs/current/errcodes-appendix.html
keyword
postgresql.log.timestamp
The timestamp from the log line.
keyword
postgresql.log.transaction_id
The id of current transaction.
long
postgresql.log.virtual_transaction_id
Backend local transaction id.
keyword
process.pid
Process id.
long
related.user
All the user names or other user identifiers seen on the event.
keyword
tags
List of keywords used to tag each event.
keyword
user.name
Short name or login of the user.
keyword
user.name.text
Multi-field of user.name.
match_only_text

Metrics access permission

Assigning pg_monitor or pg_read_all_stats rights to the database user might not be enough for fetching the metric data from PostgreSQL servers. Apart from CONNECT permission, the database user must be granted SELECT accesss on underlying tables / views pg_stat_bgwriter, pg_stat_activity, pg_stat_database, pg_stat_statements.

   grant select on table pg_stat_bgwriter to user;
   grant select on table pg_stat_activity to user;
   grant select on table pg_stat_database to user;
   grant select on table pg_stat_statements to user;

Run the below command if the pg_stat_statements view is unavailable

CREATE EXTENSION pg_stat_statements;

Metrics

activity

The activity dataset periodically fetches metrics from PostgreSQL servers.

An example event for activity looks as following:

{
    "@timestamp": "2022-01-12T03:37:42.425Z",
    "agent": {
        "ephemeral_id": "095c21dc-35b1-42c4-88f3-56972ef6626a",
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.0.0-beta1"
    },
    "data_stream": {
        "dataset": "postgresql.activity",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "snapshot": false,
        "version": "8.0.0-beta1"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.activity",
        "duration": 4068224,
        "ingested": "2022-01-12T03:37:43Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "4ccba669f0df47fa3f57a9e4169ae7f1",
        "ip": [
            "172.18.0.4"
        ],
        "mac": [
            "02:42:ac:12:00:04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.11.0-44-generic",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "activity",
        "period": 10000
    },
    "postgresql": {
        "activity": {
            "application_name": "",
            "backend_start": "2022-01-12T03:37:42.427Z",
            "client": {
                "address": "172.18.0.4",
                "hostname": "",
                "port": 32884
            },
            "database": {
                "name": "postgres",
                "oid": 12379
            },
            "pid": 111,
            "query": "SELECT * FROM pg_stat_activity",
            "query_start": "2022-01-12T03:37:42.428Z",
            "state": "active",
            "state_change": "2022-01-12T03:37:42.428Z",
            "transaction_start": "2022-01-12T03:37:42.428Z",
            "user": {
                "id": 10,
                "name": "postgres"
            },
            "waiting": false
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10\u0026sslmode=disable",
        "type": "postgresql"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.duration
Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.
long
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
postgresql.activity.application_name
Name of the application that is connected to this backend.
keyword
postgresql.activity.backend_start
Time when this process was started, i.e., when the client connected to the server.
date
postgresql.activity.backend_type
Type of backend
keyword
postgresql.activity.client.address
IP address of the client connected to this backend.
keyword
postgresql.activity.client.hostname
Host name of the connected client, as reported by a reverse DNS lookup of client_addr.
keyword
postgresql.activity.client.port
TCP port number that the client is using for communication with this backend, or -1 if a Unix socket is used.
long
postgresql.activity.database.name
Name of the database this backend is connected to.
keyword
postgresql.activity.database.oid
OID of the database this backend is connected to.
long
postgresql.activity.pid
Process ID of this backend.
long
postgresql.activity.query
Text of this backend's most recent query. If state is active this field shows the currently executing query. In all other states, it shows the last query that was executed.
keyword
postgresql.activity.query_id
Unique ID representing the query executed
keyword
postgresql.activity.query_start
Time when the currently active query was started, or if state is not active, when the last query was started.
date
postgresql.activity.state
Current overall state of this backend. Possible values are: * active: The backend is executing a query. * idle: The backend is waiting for a new client command. * idle in transaction: The backend is in a transaction, but is not currently executing a query. * idle in transaction (aborted): This state is similar to idle in transaction, except one of the statements in the transaction caused an error. * fastpath function call: The backend is executing a fast-path function. * disabled: This state is reported if track_activities is disabled in this backend.
keyword
postgresql.activity.state_change
Time when the state was last changed.
date
postgresql.activity.transaction_start
Time when this process' current transaction was started.
date
postgresql.activity.user.id
OID of the user logged into this backend.
long
postgresql.activity.user.name
Name of the user logged into this backend.
keyword
postgresql.activity.wait_event
Wait event name if backend is currently waiting, otherwise NULL
keyword
postgresql.activity.wait_event_type
The type of event for which the backend is waiting, if any; otherwise NULL.
keyword
postgresql.activity.waiting
True if this backend is currently waiting on a lock.
boolean
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

bgwriter

The PostgreSQL bgwriter dataset collects data from PostgreSQL by running a SELECT * FROM pg_stat_bgwriter; SQL query.

An example event for bgwriter looks as following:

{
    "@timestamp": "2022-01-12T03:38:29.389Z",
    "agent": {
        "ephemeral_id": "24686799-f7eb-4c30-b72d-8936c5c0546a",
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.0.0-beta1"
    },
    "data_stream": {
        "dataset": "postgresql.bgwriter",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "snapshot": false,
        "version": "8.0.0-beta1"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.bgwriter",
        "duration": 16119001,
        "ingested": "2022-01-12T03:38:30Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "4ccba669f0df47fa3f57a9e4169ae7f1",
        "ip": [
            "172.18.0.4"
        ],
        "mac": [
            "02:42:ac:12:00:04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.11.0-44-generic",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "bgwriter",
        "period": 10000
    },
    "postgresql": {
        "bgwriter": {
            "buffers": {
                "allocated": 187,
                "backend": 0,
                "backend_fsync": 0,
                "checkpoints": 0,
                "clean": 0,
                "clean_full": 0
            },
            "checkpoints": {
                "requested": 0,
                "scheduled": 0,
                "times": {
                    "sync": {
                        "ms": 0
                    },
                    "write": {
                        "ms": 0
                    }
                }
            },
            "stats_reset": "2022-01-12T03:38:06.524Z"
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10\u0026sslmode=disable",
        "type": "postgresql"
    }
}

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.duration
Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.
long
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
postgresql.bgwriter.buffers.allocated
Number of buffers allocated.
long
counter
postgresql.bgwriter.buffers.backend
Number of buffers written directly by a backend.
long
counter
postgresql.bgwriter.buffers.backend_fsync
Number of times a backend had to execute its own fsync call (normally the background writer handles those even when the backend does its own write)
long
counter
postgresql.bgwriter.buffers.checkpoints
Number of buffers written during checkpoints.
long
counter
postgresql.bgwriter.buffers.clean
Number of buffers written by the background writer.
long
counter
postgresql.bgwriter.buffers.clean_full
Number of times the background writer stopped a cleaning scan because it had written too many buffers.
long
counter
postgresql.bgwriter.checkpoints.requested
Number of requested checkpoints that have been performed.
long
counter
postgresql.bgwriter.checkpoints.scheduled
Number of scheduled checkpoints that have been performed.
long
counter
postgresql.bgwriter.checkpoints.times.sync.ms
Total amount of time that has been spent in the portion of checkpoint processing where files are synchronized to disk, in milliseconds.
float
counter
postgresql.bgwriter.checkpoints.times.write.ms
Total amount of time that has been spent in the portion of checkpoint processing where files are written to disk, in milliseconds.
float
counter
postgresql.bgwriter.stats_reset
Time at which these statistics were last reset.
date
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

database

The database dataset periodically fetches metrics from PostgreSQL servers.

An example event for database looks as following:

{
    "@timestamp": "2022-01-12T03:39:15.742Z",
    "agent": {
        "ephemeral_id": "ee7be3cd-b6c4-4228-84e5-1c5b44ddfee2",
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.0.0-beta1"
    },
    "data_stream": {
        "dataset": "postgresql.database",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "snapshot": false,
        "version": "8.0.0-beta1"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.database",
        "duration": 31647610,
        "ingested": "2022-01-12T03:39:16Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "4ccba669f0df47fa3f57a9e4169ae7f1",
        "ip": [
            "172.18.0.4"
        ],
        "mac": [
            "02:42:ac:12:00:04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.11.0-44-generic",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "database",
        "period": 10000
    },
    "postgresql": {
        "database": {
            "blocks": {
                "hit": 0,
                "read": 0,
                "time": {
                    "read": {
                        "ms": 0
                    },
                    "write": {
                        "ms": 0
                    }
                }
            },
            "conflicts": 0,
            "deadlocks": 0,
            "name": "template1",
            "number_of_backends": 0,
            "oid": 1,
            "rows": {
                "deleted": 0,
                "fetched": 0,
                "inserted": 0,
                "returned": 0,
                "updated": 0
            },
            "temporary": {
                "bytes": 0,
                "files": 0
            },
            "transactions": {
                "commit": 0,
                "rollback": 0
            }
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10\u0026sslmode=disable",
        "type": "postgresql"
    }
}

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
postgresql.database.blocks.hit
Number of times disk blocks were found already in the buffer cache, so that a read was not necessary (this only includes hits in the PostgreSQL buffer cache, not the operating system's file system cache).
long
gauge
postgresql.database.blocks.read
Number of disk blocks read in this database.
long
gauge
postgresql.database.blocks.time.read.ms
Time spent reading data file blocks by backends in this database, in milliseconds.
long
counter
postgresql.database.blocks.time.write.ms
Time spent writing data file blocks by backends in this database, in milliseconds.
long
counter
postgresql.database.conflicts
Number of queries canceled due to conflicts with recovery in this database.
long
counter
postgresql.database.deadlocks
Number of deadlocks detected in this database.
long
gauge
postgresql.database.name
Name of the database this backend is connected to.
keyword
postgresql.database.number_of_backends
Number of backends currently connected to this database.
long
gauge
postgresql.database.oid
OID of the database this backend is connected to.
long
postgresql.database.rows.deleted
Number of rows deleted by queries in this database.
long
gauge
postgresql.database.rows.fetched
Number of rows fetched by queries in this database.
long
gauge
postgresql.database.rows.inserted
Number of rows inserted by queries in this database.
long
gauge
postgresql.database.rows.returned
Number of rows returned by queries in this database.
long
gauge
postgresql.database.rows.updated
Number of rows updated by queries in this database.
long
gauge
postgresql.database.stats_reset
Time at which these statistics were last reset.
date
postgresql.database.temporary.bytes
Total amount of data written to temporary files by queries in this database. All temporary files are counted, regardless of why the temporary file was created, and regardless of the log_temp_files setting.
long
gauge
postgresql.database.temporary.files
Number of temporary files created by queries in this database. All temporary files are counted, regardless of why the temporary file was created (e.g., sorting or hashing), and regardless of the log_temp_files setting.
long
gauge
postgresql.database.transactions.commit
Number of transactions in this database that have been committed.
long
gauge
postgresql.database.transactions.rollback
Number of transactions in this database that have been rolled back.
long
gauge
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

statement

The statement dataset periodically fetches metrics from PostgreSQL servers.

An example event for statement looks as following:

{
    "@timestamp": "2022-01-12T03:40:04.168Z",
    "agent": {
        "ephemeral_id": "9ffa86f7-ad81-4b53-84c2-9d263b6b9522",
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.0.0-beta1"
    },
    "data_stream": {
        "dataset": "postgresql.statement",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "9878d192-22ad-49b6-a6c2-9959b0815d04",
        "snapshot": false,
        "version": "8.0.0-beta1"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.statement",
        "duration": 3146548,
        "ingested": "2022-01-12T03:40:05Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "4ccba669f0df47fa3f57a9e4169ae7f1",
        "ip": [
            "172.18.0.4"
        ],
        "mac": [
            "02:42:ac:12:00:04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.11.0-44-generic",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "statement",
        "period": 10000
    },
    "postgresql": {
        "statement": {
            "database": {
                "oid": 12379
            },
            "query": {
                "calls": 1,
                "id": 1592910677,
                "memory": {
                    "local": {
                        "dirtied": 0,
                        "hit": 0,
                        "read": 0,
                        "written": 0
                    },
                    "shared": {
                        "dirtied": 0,
                        "hit": 0,
                        "read": 0,
                        "written": 0
                    },
                    "temp": {
                        "read": 0,
                        "written": 0
                    }
                },
                "rows": 1,
                "text": "SELECT * FROM pg_stat_statements",
                "time": {
                    "max": {
                        "ms": 0.10900000000000001
                    },
                    "mean": {
                        "ms": 0.10900000000000001
                    },
                    "min": {
                        "ms": 0.10900000000000001
                    },
                    "stddev": {
                        "ms": 0
                    },
                    "total": {
                        "ms": 0.10900000000000001
                    }
                }
            },
            "user": {
                "id": 10
            }
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10\u0026sslmode=disable",
        "type": "postgresql"
    }
}

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.duration
Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.
long
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
postgresql.statement.database.oid
OID of the database the query was run on.
long
postgresql.statement.query.calls
Number of times the query has been run.
long
counter
postgresql.statement.query.id
ID of the statement.
long
postgresql.statement.query.memory.local.dirtied
Total number of local block cache dirtied by the query.
long
counter
postgresql.statement.query.memory.local.hit
Total number of local block cache hits by the query.
long
counter
postgresql.statement.query.memory.local.read
Total number of local block cache read by the query.
long
counter
postgresql.statement.query.memory.local.written
Total number of local block cache written by the query.
long
counter
postgresql.statement.query.memory.shared.dirtied
Total number of shared block cache dirtied by the query.
long
counter
postgresql.statement.query.memory.shared.hit
Total number of shared block cache hits by the query.
long
counter
postgresql.statement.query.memory.shared.read
Total number of shared block cache read by the query.
long
counter
postgresql.statement.query.memory.shared.written
Total number of shared block cache written by the query.
long
counter
postgresql.statement.query.memory.temp.read
Total number of temp block cache read by the query.
long
counter
postgresql.statement.query.memory.temp.written
Total number of temp block cache written by the query.
long
counter
postgresql.statement.query.rows
Total number of rows returned by query.
long
counter
postgresql.statement.query.text
Query text
keyword
postgresql.statement.query.time.max.ms
Maximum amount of time in milliseconds spent running query.
float
gauge
postgresql.statement.query.time.mean.ms
Mean amount of time in milliseconds spent running query.
long
gauge
postgresql.statement.query.time.min.ms
Minimum amount of time in milliseconds spent running query.
float
gauge
postgresql.statement.query.time.stddev.ms
Population standard deviation of time spent running query, in milliseconds.
long
gauge
postgresql.statement.query.time.total.ms
The total amount of time in milliseconds spent running query.
float
gauge
postgresql.statement.user.id
OID of the user logged into the backend that ran the query.
long
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

Changelog

VersionDetailsKibana version(s)

1.19.0

Enhancement View pull request
Enable secrets for sensitive fields. For more details, refer https://www.elastic.co/guide/en/fleet/current/agent-policy.html#agent-policy-secret-values

8.12.0 or higher

1.18.1

Bug fix View pull request
Disable secrets for older stack versions due to errors.

8.8.0 or higher

1.18.0

Enhancement View pull request
Enable 'secret' for the sensitive fields, supported from 8.12.

8.8.0 or higher

1.17.2

Enhancement View pull request
Improve wording on milliseconds.

8.8.0 or higher

1.17.1

Bug fix View pull request
Replaced postgresql.activity.query with postgresql.activity.query_id as TSDS dimension field to support query length greater than 1024.

8.8.0 or higher

1.17.0

Enhancement View pull request
Update the package format_version to 3.0.0.

8.8.0 or higher

1.16.1

Bug fix View pull request
Add null check and ignore_missing check to the rename processor

8.8.0 or higher

1.16.0

Enhancement View pull request
Enable time series data streams for the metrics datasets. This dramatically reduces storage for metrics and is expected to progressively improve query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html.

8.8.0 or higher

1.15.2

Enhancement View pull request
Added changes to support TSDB Enablement for the activity datastream.

8.4.0 or higher

1.15.1

Enhancement View pull request
Add new dimension fields to the database and bgwriter datastreams.

8.4.0 or higher

1.15.0

Enhancement View pull request
Add dimensions mapping for the statement datastream for TSDB enablement.

8.4.0 or higher

1.14.0

Enhancement View pull request
Rename ownership from obs-service-integrations to obs-infraobs-integrations

8.4.0 or higher

1.13.0

Enhancement View pull request
Migrate Query Duration Overview dashboard visualizations to lens.

8.4.0 or higher

1.12.0

Enhancement View pull request
Migrate Database Overview dashboard visualizations to lens.

8.4.0 or higher

1.11.0

Enhancement View pull request
Migrate Overview dashboard visualizations to lens.

8.4.0 or higher

1.10.0

Enhancement View pull request
Added changes to support TSDB Enablement for the bgwriter datastream.

7.14.0 or higher
8.0.0 or higher

1.9.0

Enhancement View pull request
Added dimensions mapping for database datastream for TSDB enablement.

7.14.0 or higher
8.0.0 or higher

1.8.0

Enhancement View pull request
Added metric type mapping for database datastream.

7.14.0 or higher
8.0.0 or higher

1.7.0

Enhancement View pull request
Added metric type mapping for statement datastream.

7.14.0 or higher
8.0.0 or higher

1.6.1

Enhancement View pull request
Added categories and/or subcategories.

7.14.0 or higher
8.0.0 or higher

1.6.0

Enhancement View pull request
Update ECS version to 8.5.1

7.14.0 or higher
8.0.0 or higher

1.5.0

Enhancement View pull request
Added infrastructure category.

7.14.0 or higher
8.0.0 or higher

1.4.2

Enhancement View pull request
Remove unused visualizations

7.14.0 or higher
8.0.0 or higher

1.4.1

Bug fix View pull request
Fix pipeline when user.name and postgresql.log.database with brackets

7.14.0 or higher
8.0.0 or higher

1.4.0

Enhancement View pull request
Add support for AWS postgresql standard log format

7.14.0 or higher
8.0.0 or higher

1.3.1

Enhancement View pull request
Add documentation for multi-fields

7.14.0 or higher
8.0.0 or higher

1.3.0

Enhancement View pull request
Update to ECS 8.0

—

1.2.0

Enhancement View pull request
Release postgresql package for v8.0.0

7.14.0 or higher
8.0.0 or higher

1.1.2

Enhancement View pull request
Uniform with guidelines

—

1.1.1

Bug fix View pull request
Fix logic that checks for the 'forwarded' tag

—

1.1.0

Enhancement View pull request
Update to ECS 1.12.0

7.14.0 or higher

1.0.0

Enhancement View pull request
Release PostreSQL as GA

—

0.7.3

Enhancement View pull request
Convert to generated ECS fields

—

0.7.2

Enhancement View pull request
update to ECS 1.11.0

—

0.7.1

Enhancement View pull request
Escape special characters in docs

—

0.7.0

Enhancement View pull request
Update documentation to fit mdx spec

—

0.6.0

Enhancement View pull request
Update integration description

—

0.5.0

Enhancement View pull request
Set "event.module" and "event.dataset"

Enhancement View pull request
Enable ECS dependency

—

0.4.0

Enhancement View pull request
update to ECS 1.10.0 and adding event.original options

—

0.3.1

Enhancement View pull request
update to ECS 1.9.0

—

0.3.0

Enhancement View pull request
Add support for logs in CSV format

—

0.2.7

Enhancement View pull request
Updating package owner

—

0.2.6

Bug fix View pull request
Correct sample event file.

—

0.1.0

Enhancement View pull request
initial release

—

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