The tap-datadog
                  extractor
                    pulls data from
                    Datadog that can
                    then be sent to a destination using a
                    loader. 
                      Airbyte Usage Notice
                    
                    Container-based connectors
                    can introduce deployment challenges including the potential need to run
                    Docker-in-Docker (not currently supported by services like AWS ECS, Meltano
                    Cloud, etc. see
                    FAQ
                    and
                    Airbyte's ECS deployment docs
                    for more details). Before using this variant we recommend considering if/how
                    you will be able to deploy container-based connectors to production.
                    
                    For more context on how this Airbyte integration works please checkout out the
                    FAQ in the Meltano Docs.
                    
Alternate Implementations
- Airbyte
🥉
 - 
                        degreed-data-engineering
                        (default)
🥈
 
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
- 
                      Add the tap-datadog extractor to your
                      project using
                      
:meltano add - 
                        Configure the tap-datadog
                        settings using
                        
:meltano config - 
                        Test that extractor settings are valid using
                        
:meltano config 
meltano add extractor tap-datadog --variant airbytemeltano config tap-datadog set --interactivemeltano config tap-datadog testNext steps
Follow the remaining steps of the Getting Started guide:
If you run into any issues, learn how to get help.
Capabilities
      The current capabilities for
      tap-datadog
      may have been automatically set when originally added to the Hub. Please review the
      capabilities when using this extractor. If you find they are out of date, please
      consider updating them by making a pull request to the YAML file that defines the
      capabilities for this extractor.
    
This plugin has the following capabilities:
- about
 - catalog
 - discover
 - schema-flattening
 - state
 - stream-maps
 
      You can
      override these capabilities or specify additional ones
      in your meltano.yml by adding the capabilities key.
    
Settings
      The
      tap-datadog settings that are known to Meltano are documented below. To quickly
      find the setting you're looking for, click on any setting name from the list:
    
airbyte_config.api_keyairbyte_config.application_keyairbyte_config.end_dateairbyte_config.max_records_per_requestairbyte_config.queryairbyte_config.start_dateairbyte_spec.imageairbyte_spec.tagdocker_mounts
Expand To Show SDK Settings
      You can also list these settings using
      
      with the meltano configlist
      subcommand:
    
meltano config tap-datadog list
      You can
      override these settings or specify additional ones
      in your meltano.yml by adding the settings key.
    
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.
Airbyte Config Api Key (airbyte_config.api_key)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_API_KEY 
Datadog API key
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config api_key [value]Airbyte Config Application Key (airbyte_config.application_key)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_APPLICATION_KEY 
Datadog application key
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config application_key [value]Airbyte Config End Date (airbyte_config.end_date)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_END_DATE 
UTC date and time in the format 2017-01-25T00:00:00Z. Data after this date will not be replicated. An empty value will represent the current datetime for each execution. This just applies to Incremental syncs.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config end_date [value]Airbyte Config Max Records Per Request (airbyte_config.max_records_per_request)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_MAX_RECORDS_PER_REQUEST 
Maximum number of records to collect per request.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config max_records_per_request [value]Airbyte Config Query (airbyte_config.query)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_QUERY 
The search query. This just applies to Incremental syncs. If empty, it'll collect all logs.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config query [value]Airbyte Config Start Date (airbyte_config.start_date)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_CONFIG_START_DATE 
UTC date and time in the format 2017-01-25T00:00:00Z. Any data before this date will not be replicated. This just applies to Incremental syncs.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_config start_date [value]Airbyte Spec Image (airbyte_spec.image)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_SPEC_IMAGE - 
          Default Value: 
airbyte/source-datadog 
Airbyte image to run
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_spec image [value]Airbyte Spec Tag (airbyte_spec.tag)
- 
          Environment variable:
          
TAP_DATADOG_AIRBYTE_SPEC_TAG - 
          Default Value: 
latest 
Airbyte image tag
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set airbyte_spec tag [value]Docker Mounts (docker_mounts)
- 
          Environment variable:
          
TAP_DATADOG_DOCKER_MOUNTS 
Docker mounts to make available to the Airbyte container. Expects a list of maps containing source, target, and type as is documented in the docker --mount documentation
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set docker_mounts [value]Expand To Show SDK Settings
Flattening Enabled (flattening_enabled)
- 
              Environment variable:
              
TAP_DATADOG_FLATTENING_ENABLED 
'True' to enable schema flattening and automatically expand nested properties.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set flattening_enabled [value]Flattening Max Depth (flattening_max_depth)
- 
              Environment variable:
              
TAP_DATADOG_FLATTENING_MAX_DEPTH 
The max depth to flatten schemas.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set flattening_max_depth [value]Stream Map Config (stream_map_config)
- 
              Environment variable:
              
TAP_DATADOG_STREAM_MAP_CONFIG 
User-defined config values to be used within map expressions.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set stream_map_config [value]Stream Maps (stream_maps)
- 
              Environment variable:
              
TAP_DATADOG_STREAM_MAPS 
Config object for stream maps capability. For more information check out Stream Maps.
Configure this setting directly using the following Meltano command:
meltano config tap-datadog set stream_maps [value]Something missing?
This page is generated from a YAML file that you can contribute changes to.
Edit it on GitHub!Looking for help?
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    channel.
  

