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PostgreSQL Integration

Serverless Observability

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless Security

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Stack 9.2+

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available since 9.2

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Version 1.32.2 (View all)
Subscription level
What's this?
Basic
Developed by
What's this?
Elastic
Ingestion method(s) Database, File
Minimum Kibana version(s) 9.2.1
8.19.0

This integration periodically fetches logs and metrics from PostgreSQL servers.

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.

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.

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:

Text
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.

User can specify a timezone when logging messages by using the tz_map parameter. This feature is particularly useful for ensuring logs are recorded in the specified timezone, making it easier to troubleshoot issues based on the time of occurrence in different time zones.

Note

If the tz_map parameter is not specified, it will be default to the timezone of the logs and map it with timestamp accordingly.

User can set the tz_map to any valid timezone identifier. Here are a few examples of supported timezones:

  • tz_short: 'EDT'
  • tz_long: 'America/New_York'
  • tz_short: 'IST'
  • tz_long: 'Asia/Kolkata'

When logging an event, user can pass the timezone parameter to ensure the time is recorded in the desired timezone. Here's an example of how you can use this parameter:

YAML
tz_map:
  - tz_short: 'IST'
  - tz_long: 'Asia/Kolkata'

ECS Field Reference

Please refer to the following document for detailed information on ECS fields.

Exported fields
Field Description Type
@timestamp Event timestamp. date
cloud.image.id Image ID for the cloud instance. 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
event.code Identification code for the event. keyword
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
event.type Severity of the event (info, error, etc.). keyword
host.containerized If the host is a container. boolean
host.os.build OS build information. keyword
host.os.codename OS codename, if any. keyword
input.type Input type. keyword
log.flags Flags for the log file. keyword
log.offset Log offset. long
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.sequence_number Sequence number circumvents that the last message was repeated N times. long
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

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.

Text
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

Text
CREATE EXTENSION pg_stat_statements;

The activity dataset periodically fetches metrics from PostgreSQL servers.

Example
JSON
{
    "@timestamp": "2024-04-30T09:14:50.873Z",
    "agent": {
        "ephemeral_id": "f065ed3c-78fb-41da-9fe6-88ab3ff0f088",
        "id": "69c77328-4412-45c4-8f98-cc7e7b1fc216",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.13.0"
    },
    "data_stream": {
        "dataset": "postgresql.activity",
        "namespace": "ep",
        "type": "metrics"
    },
    "database": {
        "oid": 12379
    },
    "ecs": {
        "version": "8.11.0"
    },
    "elastic_agent": {
        "id": "69c77328-4412-45c4-8f98-cc7e7b1fc216",
        "snapshot": false,
        "version": "8.13.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.activity",
        "duration": 6165334,
        "ingested": "2024-04-30T09:15:02Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "8259e024976a406e8a54cdbffeb84fec",
        "ip": [
            "192.168.251.4"
        ],
        "mac": [
            "02-42-C0-A8-FB-04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "3.10.0-1160.99.1.el7.x86_64",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.6 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "activity",
        "period": 10000
    },
    "postgresql": {
        "activity": {
            "application_name": "",
            "backend_start": "2024-04-30T09:14:50.875Z",
            "client": {
                "address": "192.168.251.4",
                "hostname": "",
                "port": 49266
            },
            "database": {
                "name": "postgres",
                "oid": 12379
            },
            "pid": 113,
            "query": "SELECT * FROM pg_stat_activity",
            "query_id": "W/d3kCHhA8b/M4YpzDBJHlJM7xU=",
            "query_start": "2024-04-30T09:14:50.877Z",
            "state": "active",
            "state_change": "2024-04-30T09:14:50.877Z",
            "transaction_start": "2024-04-30T09:14:50.877Z",
            "user": {
                "id": 10,
                "name": "postgres"
            },
            "waiting": false
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10&sslmode=disable",
        "type": "postgresql"
    }
}

ECS Field Reference

Please refer to the following document for detailed information on ECS fields.

Exported fields
Field Description 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.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
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
database.oid OID of the database that this event is related to. alias
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
host.containerized If the host is a container. boolean
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
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

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

Example
JSON
{
    "@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": "8.11.0"
    },
    "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-C0-A8-FB-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&sslmode=disable",
        "type": "postgresql"
    }
}

ECS Field Reference

Please refer to the following document for detailed information on ECS fields.

Exported fields
Field Description Type Metric 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.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
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
host.containerized If the host is a container. boolean
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
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

The database dataset periodically fetches metrics from PostgreSQL servers.

Example
JSON
{
    "@timestamp": "2024-05-01T09:58:10.541Z",
    "agent": {
        "ephemeral_id": "f01bc762-745d-4991-8e9e-72d8b06d0460",
        "id": "de455097-cace-48cd-b1db-e2dda1bf1ecd",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.13.0"
    },
    "data_stream": {
        "dataset": "postgresql.database",
        "namespace": "ep",
        "type": "metrics"
    },
    "database": {
        "oid": 12379
    },
    "ecs": {
        "version": "8.11.0"
    },
    "elastic_agent": {
        "id": "de455097-cace-48cd-b1db-e2dda1bf1ecd",
        "snapshot": false,
        "version": "8.13.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.database",
        "duration": 17453448,
        "ingested": "2024-05-01T09:58:22Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "8259e024976a406e8a54cdbffeb84fec",
        "ip": [
            "192.168.241.7"
        ],
        "mac": [
            "02-42-C0-A8-F1-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "3.10.0-1160.99.1.el7.x86_64",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.6 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "database",
        "period": 10000
    },
    "postgresql": {
        "database": {
            "blocks": {
                "hit": 2604,
                "read": 256,
                "time": {
                    "read": {
                        "ms": 0
                    },
                    "write": {
                        "ms": 0
                    }
                }
            },
            "conflicts": 0,
            "deadlocks": 0,
            "name": "postgres",
            "number_of_backends": 1,
            "oid": 12379,
            "rows": {
                "deleted": 0,
                "fetched": 1514,
                "inserted": 43,
                "returned": 1719,
                "updated": 3
            },
            "stats_reset": "2024-05-01T09:57:46.179Z",
            "temporary": {
                "bytes": 0,
                "files": 0
            },
            "transactions": {
                "commit": 10,
                "rollback": 0
            }
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10&sslmode=disable",
        "type": "postgresql"
    }
}

ECS Field Reference

Please refer to the following document for detailed information on ECS fields.

Exported fields
Field Description Type Metric 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.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
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
database.oid OID of the database that this event is related to. alias
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
host.containerized If the host is a container. boolean
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
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

The statement dataset periodically fetches metrics from PostgreSQL servers.

Example
JSON
{
    "@timestamp": "2024-04-30T09:17:42.181Z",
    "agent": {
        "ephemeral_id": "0bad7d4e-66f6-408c-9ae4-f6f4daddb7ab",
        "id": "69c77328-4412-45c4-8f98-cc7e7b1fc216",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.13.0"
    },
    "data_stream": {
        "dataset": "postgresql.statement",
        "namespace": "ep",
        "type": "metrics"
    },
    "database": {
        "oid": 12379
    },
    "ecs": {
        "version": "8.11.0"
    },
    "elastic_agent": {
        "id": "69c77328-4412-45c4-8f98-cc7e7b1fc216",
        "snapshot": false,
        "version": "8.13.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "postgresql.statement",
        "duration": 5544043,
        "ingested": "2024-04-30T09:17:54Z",
        "module": "postgresql"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "8259e024976a406e8a54cdbffeb84fec",
        "ip": [
            "192.168.251.4"
        ],
        "mac": [
            "02-42-C0-A8-FB-04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "3.10.0-1160.99.1.el7.x86_64",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.6 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "statement",
        "period": 10000
    },
    "postgresql": {
        "statement": {
            "database": {
                "oid": 12379
            },
            "query": {
                "calls": 2,
                "id": 1691311383,
                "memory": {
                    "local": {
                        "dirtied": 0,
                        "hit": 0,
                        "read": 0,
                        "written": 0
                    },
                    "shared": {
                        "dirtied": 0,
                        "hit": 12,
                        "read": 0,
                        "written": 0
                    },
                    "temp": {
                        "read": 0,
                        "written": 0
                    }
                },
                "rows": 6,
                "text": "SELECT d.datname as \"Name\",\n       pg_catalog.pg_get_userbyid(d.datdba) as \"Owner\",\n       pg_catalog.pg_encoding_to_char(d.encoding) as \"Encoding\",\n       d.datcollate as \"Collate\",\n       d.datctype as \"Ctype\",\n       pg_catalog.array_to_string(d.datacl, ?) AS \"Access privileges\"\nFROM pg_catalog.pg_database d\nORDER BY 1;",
                "time": {
                    "max": {
                        "ms": 0.107
                    },
                    "mean": {
                        "ms": 0
                    },
                    "min": {
                        "ms": 0.096
                    },
                    "stddev": {
                        "ms": 0
                    },
                    "total": {
                        "ms": 0.203
                    }
                }
            },
            "user": {
                "id": 10
            }
        }
    },
    "service": {
        "address": "postgres://elastic-package-service-postgresql-1:5432?connect_timeout=10&sslmode=disable",
        "type": "postgresql"
    }
}

ECS Field Reference

Please refer to the following document for detailed information on ECS fields.

Exported fields
Field Description Type Metric 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.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
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
database.oid OID of the database that this event is related to. alias
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
host.containerized If the host is a container. boolean
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
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

Alert rule templates provide pre-defined configurations for creating alert rules in Kibana.

For more information, refer to the Elastic documentation.

Alert rule templates require Elastic Stack version 9.2.0 or later.

The following alert rule templates are available:

[PostgreSQL] Buffer Cache Hit Ratio above threshold

[PostgreSQL] Latency high

This integration includes one or more Kibana dashboards that visualizes the data collected by the integration. The screenshots below illustrate how the ingested data is displayed.

PostgreSQL logs overview
Filebeat PostgreSQL slowlog overview
Metricbeat PostgreSQL overview
Changelog
Version Details Minimum Kibana version
1.32.2 Bug fix (View pull request)
Apply the existing condition setting to the statement data stream.
9.2.1
8.19.0
1.32.1 Enhancement (View pull request)
Update README with Alerting Rule Templates.
9.2.1
8.19.0
1.32.0 Enhancement (View pull request)
Add Alerting Rule Templates.
9.2.1
8.19.0
1.31.0 Enhancement (View pull request)
Allow @custom pipeline access to event.original without setting preserve_original_event.
9.0.0
8.13.0
1.30.0 Enhancement (View pull request)
Add a flag fips_compatible to control whether the package is allowed in the ECH FedRAMP High environment.
9.0.0
8.13.0
1.29.0 Enhancement (View pull request)
Add support for user specific timezone map.
9.0.0
8.13.0
1.28.0 Enhancement (View pull request)
Add support for EDT timezone.
9.0.0
8.13.0
1.27.0 Enhancement (View pull request)
Add support for Kibana 9.0.0.
9.0.0
8.13.0
1.26.0 Enhancement (View pull request)
Allow the usage of deprecated log input and support for stack 9.0
8.13.0
1.25.0 Enhancement (View pull request)
Add ability to set condition for logs and metrics.
8.13.0
1.24.0 Bug fix (View pull request)
Fix log datastream grok pattern to support standard logs.
8.13.0
1.23.0 Enhancement (View pull request)
Add processor support for activity, bgwriter, database and statement data streams.
8.13.0
1.22.0 Enhancement (View pull request)
ECS version updated to 8.11.0. Update the kibana constraint to ^8.13.0. Modified the field definitions to remove ECS fields made redundant by the ecs@mappings component template.
8.13.0
1.21.0 Enhancement (View pull request)
Add global filter on data_stream.dataset to improve performance.
8.12.0
1.20.0 Enhancement (View pull request)
Add alias field for database oid fields.
8.12.0
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
1.18.1 Bug fix (View pull request)
Disable secrets for older stack versions due to errors.
8.8.0
1.18.0 Enhancement (View pull request)
Enable 'secret' for the sensitive fields, supported from 8.12.
8.8.0
1.17.2 Enhancement (View pull request)
Improve wording on milliseconds.
8.8.0
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
1.17.0 Enhancement (View pull request)
Update the package format_version to 3.0.0.
8.8.0
1.16.1 Bug fix (View pull request)
Add null check and ignore_missing check to the rename processor
8.8.0
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
1.15.2 Enhancement (View pull request)
Added changes to support TSDB Enablement for the activity datastream.
8.4.0
1.15.1 Enhancement (View pull request)
Add new dimension fields to the database and bgwriter datastreams.
8.4.0
1.15.0 Enhancement (View pull request)
Add dimensions mapping for the statement datastream for TSDB enablement.
8.4.0
1.14.0 Enhancement (View pull request)
Rename ownership from obs-service-integrations to obs-infraobs-integrations
8.4.0
1.13.0 Enhancement (View pull request)
Migrate Query Duration Overview dashboard visualizations to lens.
8.4.0
1.12.0 Enhancement (View pull request)
Migrate Database Overview dashboard visualizations to lens.
8.4.0
1.11.0 Enhancement (View pull request)
Migrate Overview dashboard visualizations to lens.
8.4.0
1.10.0 Enhancement (View pull request)
Added changes to support TSDB Enablement for the bgwriter datastream.
8.0.0
7.14.0
1.9.0 Enhancement (View pull request)
Added dimensions mapping for database datastream for TSDB enablement.
8.0.0
7.14.0
1.8.0 Enhancement (View pull request)
Added metric type mapping for database datastream.
8.0.0
7.14.0
1.7.0 Enhancement (View pull request)
Added metric type mapping for statement datastream.
8.0.0
7.14.0
1.6.1 Enhancement (View pull request)
Added categories and/or subcategories.
8.0.0
7.14.0
1.6.0 Enhancement (View pull request)
Update ECS version to 8.5.1
8.0.0
7.14.0
1.5.0 Enhancement (View pull request)
Added infrastructure category.
8.0.0
7.14.0
1.4.2 Enhancement (View pull request)
Remove unused visualizations
8.0.0
7.14.0
1.4.1 Bug fix (View pull request)
Fix pipeline when user.name and postgresql.log.database with brackets
8.0.0
7.14.0
1.4.0 Enhancement (View pull request)
Add support for AWS postgresql standard log format
8.0.0
7.14.0
1.3.1 Enhancement (View pull request)
Add documentation for multi-fields
8.0.0
7.14.0
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
8.0.0
7.14.0
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
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
—