Table of Contents
- Repository: https://github.com/anelendata/tap-bigquery
- Maintainer: Anelen
- Maintenance status: Active
- Last update at: 01 May 2021
- Open issues and PRs : 2
- Stars: 9
tap-bigquery are available. This document describes the
anelendata variant, which is recommended for new
Alternative variants are:
Install the package using pip:
pip install tap-bigquery
For additional instructions, refer to the README in the repository.
Usage with Meltano
meltano add extractor tap-bigquery
For additional instructions, refer to the
Meltano-specific documentation for
Array holding objects describing streams (tables) to extract, with
filters keys. See docs for details.
This is not a real setting, so it should not appear in the
config.json JSON schema. The taret will read the
GOOGLE_APPLICATION_CREDENTIALS environment variable which should be a fully qualified path to
client_secrets.json for your service account.
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.
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.
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
tap-bigquery to work by itself or with
Meltano, look for an
existing issue in its repository, file a new issue,
join the Meltano Slack community
and ask for help in the