Table: datadog_log_event - Query Datadog Log Events using SQL

Datadog Log Management is a service that centralizes logs from different sources into a unified platform. It provides real-time search and analytics, which allows users to explore, troubleshoot, and monitor their log data with ease. It also integrates with other Datadog services to provide a comprehensive view of system performance.

Table Usage Guide

The datadog_log_event table provides insights into log events within Datadog Log Management. As a system administrator or a DevOps engineer, explore event-specific details through this table, including event status, associated metadata, and other relevant information. Utilize it to uncover information about system logs, such as those with specific events, the status of these events, and the verification of event metadata.

Examples

Basic info

Explore the events in your Datadog logs to gain insights into their status and associated attributes. This can be particularly useful for troubleshooting or identifying patterns in your system's behavior.

select
  id,
  timestamp,
  service,
  status,
  jsonb_pretty(attributes) as attributes
from
  datadog_log_event;

select
  id,
  timestamp,
  service,
  status,
  attributes
from
  datadog_log_event;

Timestamp Examples

List events for the last two days

Explore recent activities on your services by identifying events that have occurred in the last two days. This query can help you stay updated with the status and messages of your services, allowing you to quickly react to any potential issues.

select
  timestamp,
  service,
  status,
  message,
  jsonb_pretty(attributes) as attributes
from
  datadog_log_event
where
  timestamp >= (current_date - interval '2' day);

select
  timestamp,
  service,
  status,
  message,
  attributes
from
  datadog_log_event
where
  timestamp >= date('now', '-2 day');

List events in a specific time range

Explore events that occurred within a specific time frame. This can be useful in identifying patterns or anomalies in service status over a given period.

select
  timestamp,
  service,
  status,
  message,
  jsonb_pretty(attributes) as attributes
from
  datadog_log_event
where
  timestamp <= (current_date - interval '2' day)
  and timestamp >= (current_date - interval '5' day);

select
  timestamp,
  service,
  status,
  message,
  attributes
from
  datadog_log_event
where
  timestamp <= (date('now', '-2 day'))
  and timestamp >= (date('now', '-5 day'));

Query Examples

List all AWS S3 events for the last two days

Explore recent activity in your AWS S3 storage by identifying events that occurred in the last two days. This is useful for monitoring usage, tracking changes, and identifying potential security concerns.

select
  timestamp,
  service,
  status,
  message,
  attributes -> 'detail' ->> 'eventName' as event_name,
  attributes -> 'detail' -> 'requestParameters' ->> 'bucketName' as bucket_name
from
  datadog_log_event
where
  query = '@detail.eventSource:s3.amazonaws.com'
  and timestamp >= (current_date - interval '2' day);

select
  timestamp,
  service,
  status,
  message,
  json_extract(attributes, '$.detail.eventName') as event_name,
  json_extract(
    attributes,
    '$.detail.requestParameters.bucketName'
  ) as bucket_name
from
  datadog_log_event
where
  query = '@detail.eventSource:s3.amazonaws.com'
  and timestamp >= date('now', '-2 day');

List AWS S3 buckets created or deleted in the last week

Discover recent changes in your AWS S3 storage by identifying buckets that were created or deleted in the past week. This can help maintain an overview of your storage usage and track significant modifications.

select
  timestamp,
  service,
  status,
  message,
  attributes -> 'detail' ->> 'eventName' as event_name,
  attributes -> 'detail' -> 'requestParameters' ->> 'bucketName' as bucket_name
from
  datadog_log_event
where
  query = '@detail.eventName:(CreateBucket OR DeleteBucket)'
  and timestamp >= (current_date - interval '7' day);

select
  timestamp,
  service,
  status,
  message,
  json_extract(attributes, '$.detail.eventName') as event_name,
  json_extract(
    attributes,
    '$.detail.requestParameters.bucketName'
  ) as bucket_name
from
  datadog_log_event
where
  query = '@detail.eventName:(CreateBucket OR DeleteBucket)'
  and timestamp >= date('now', '-7 day');

Schema for datadog_log_event

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form, e.g. connection_name.
attributes	jsonb		JSON object of attributes for log.
host	text		Name of the machine from where the logs are being sent.
id	text		Unique ID of the Log.
message	text		The message of the log.
query	text	=	Query for searching logs. Refer https://docs.datadoghq.com/logs/explorer/search_syntax
service	text		The name of the application or service generating the log events.
status	text		Status of the message associated with log.
tags	jsonb		Array of tags associated with log.
timestamp	timestamp with time zone	>, >=, =, <, <=	Timestamp of log.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- datadog

You can pass the configuration to the command with the --config argument:

steampipe_export_datadog --config '<your_config>' datadog_log_event