Table of Contents
- Repository: https://github.com/anelendata/tap-bigquery
- Maintainer: Anelen
- Meltano Stats (across all plugin variants):
Alternative variants #
tap-bigquery are available.
This document describes the default
which is recommended for new users.
Alternative variants are:
Additionally you should follow the steps in the “Activate the Google BigQuery API” section of the repository’s README.
Standalone usage #
Install the package using pip:
pip install tap-bigquery
For additional instructions, refer to the README in the repository.
View the Meltano-specific
tap-bigquery instructions to learn more.
These capabilities can also be overriden
by specifying the
capabilities key in your
tap-bigquery requires the
of the following settings:
You can override these
settings or specify additional
ones in your
meltano.yml by adding the
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull
request to the
that defines the settings for this
Array of objects with
name: The entity name, used by most loaders as the name of the table to be created.
table: Fully qualified table name in BigQuery, with format
`<project>.<dataset>.<table>`. Since backticks have special meaning in YAML, values in
meltano.ymlshould be wrapped in double quotes.
columns: Array of column names to select. Using
["*"]is not recommended as it can become very expensive for a table with a large number of columns.
datetime_key: Name of datetime column to use as replication key.
filters: Optional array of
WHEREclauses to filter extracted data, e.g.
Credentials Path (
Fully qualified path to
client_secrets.json for your service account.
By default, this file is expected to be at the root of your project directory.
Start Datetime (
Determines how much historical data will be extracted. Please be aware that the larger the time period and amount of data, the longer the initial extraction can be expected to take.
End Datetime (
Date up to when historical data will be extracted.
Limits the number of records returned in each stream, applied as a limit in the query.
Start Always Inclusive (
When replicating incrementally, disable to only select records whose
datetime_key is greater than the maximum value replicated in the last run, by excluding records whose timestamps match exactly. This could cause records to be missed that were created after the last run finished, but during the same second and with the same timestamp.
Looking for help? #
If you're having trouble getting the
tap-bigquery tap to work, look for an
existing issue in its repository, file a new issue,
join the Meltano Slack community
and ask for help in the
Found an issue on this page? #
This page is generated from a YAML file that you can contribute changes to. Edit it on GitHub!