Changelog#
0.4.0#
07-16-2019 17:11 PDT
Implementation Changes#
New Features#
Add
DatasourceServiceClient
(via synth). (#8630)Add
start_manual_transfer_runs
method (via synth). (#8630)Add
client_info
/version_info
support (via synth). (#8630)Allow passing kwargs to
create_channel
(via synth). (#8630)Add path helpers (via synth). (#8630)
Add protos as an artifact to library (#7205)
Documentation#
Add compatibility check badges to READMEs. (#8288)
Adjust indentation on scheduled query sample. (#8493)
Add docs job to publish to googleapis.dev. (#8464)
Add sample to schedule query with BQ DTS. (#7703)
Add nox session
docs
(via synth). (#7765)Updated client library documentation URLs. (#7307)
Pick up stub docstring fix in GAPIC generator. (#6965)
0.3.0#
12-17-2018 17:59 PST
Implementation Changes#
Pick up enum fixes in the GAPIC generator. (#6608)
Pick up fixes in GAPIC generator. (#6491)
Fix
client_info
bug, update docstrings. (#6405)Re-generate library using bigquery_datatransfer/synth.py (#5973)
Fix stray, lint-breaking blank lines from autosynth. (#5960)
Re-generate library using
bigquery_datatransfer/synth.py
. (#5947)
Documentation#
Internal / Testing Changes#
0.2.0#
Implementation Changes#
Regenerate bigquery-datatransfer (#5793)
Internal / Testing Changes#
Avoid overwriting ‘module’ of messages from shared modules. (#5364)
Modify system tests to use prerelease versions of grpcio (#5304)
Add Test runs for Python 3.7 and remove 3.4 (#5295)
Fix bad trove classifier
Rename releases to changelog and include from CHANGELOG.md (#5191)
0.1.1#
Dependencies#
Update dependency range for api-core to include v1.0.0 releases (#4944)
Documentation#
Fix package name in readme (#4670)
BigQueryDataTransfer: update 404 link for API documentation (#4672)
Replacing references to
stable/
docs withlatest/
. (#4638)
Testing and internal changes#
Re-enable lint for tests, remove usage of pylint (#4921)
Normalize all setup.py files (#4909)
Update index.rst (#4816)
nox unittest updates (#4646)
0.1.0#
The BigQuery Data Transfer Service automates data movement from SaaS applications to Google BigQuery on a scheduled, managed basis. Your analytics team can lay the foundation for a data warehouse without writing a single line of code. BigQuery Data Transfer Service initially supports Google application sources like Adwords, DoubleClick Campaign Manager, DoubleClick for Publishers and YouTube.
PyPI: https://pypi.org/project/google-cloud-bigquery-datatransfer/0.1.0/