The tap-bigquery
extractor
pulls data from
BigQuery 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
🥉
-
Anelen Data
(default)🥈
-
FIXD Automotive
-
Meltano
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
-
Add the tap-bigquery extractor to your
project using
:meltano add -
Configure the tap-bigquery
settings using
:meltano config -
Test that extractor settings are valid using
:meltano config
meltano add extractor tap-bigquery --variant airbytemeltano config tap-bigquery set --interactivemeltano config tap-bigquery 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-bigquery
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 If you find they are out of date, please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-bigquery 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.credentials_jsonairbyte_config.dataset_idairbyte_config.project_idairbyte_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-bigquery 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 Credentials Json (airbyte_config.credentials_json)
-
Environment variable:
TAP_BIGQUERY_AIRBYTE_CONFIG_CREDENTIALS_JSON
The contents of your Service Account Key JSON file. See the docs for more information on how to obtain this key.
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set airbyte_config credentials_json [value]Airbyte Config Dataset Id (airbyte_config.dataset_id)
-
Environment variable:
TAP_BIGQUERY_AIRBYTE_CONFIG_DATASET_ID
The dataset ID to search for tables and views. If you are only loading data from one dataset, setting this option could result in much faster schema discovery.
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set airbyte_config dataset_id [value]Airbyte Config Project Id (airbyte_config.project_id)
-
Environment variable:
TAP_BIGQUERY_AIRBYTE_CONFIG_PROJECT_ID
The GCP project ID for the project containing the target BigQuery dataset.
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set airbyte_config project_id [value]Airbyte Spec Image (airbyte_spec.image)
-
Environment variable:
TAP_BIGQUERY_AIRBYTE_SPEC_IMAGE -
Default Value:
airbyte/source-bigquery
Airbyte image to run
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set airbyte_spec image [value]Airbyte Spec Tag (airbyte_spec.tag)
-
Environment variable:
TAP_BIGQUERY_AIRBYTE_SPEC_TAG -
Default Value:
latest
Airbyte image tag
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set airbyte_spec tag [value]Docker Mounts (docker_mounts)
-
Environment variable:
TAP_BIGQUERY_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-bigquery set docker_mounts [value]Expand To Show SDK Settings
Flattening Enabled (flattening_enabled)
-
Environment variable:
TAP_BIGQUERY_FLATTENING_ENABLED
'True' to enable schema flattening and automatically expand nested properties.
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set flattening_enabled [value]Flattening Max Depth (flattening_max_depth)
-
Environment variable:
TAP_BIGQUERY_FLATTENING_MAX_DEPTH
The max depth to flatten schemas.
Configure this setting directly using the following Meltano command:
meltano config tap-bigquery set flattening_max_depth [value]Stream Map Config (stream_map_config)
-
Environment variable:
TAP_BIGQUERY_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-bigquery set stream_map_config [value]Stream Maps (stream_maps)
-
Environment variable:
TAP_BIGQUERY_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-bigquery set stream_maps [value]Something missing?
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Edit it on GitHub!Looking for help?
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