
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
@google-cloud/bigquery-data-transfer
Advanced tools
BigQuery Data Transfer API client for Node.js
BigQuery Data Transfer API client for Node.js
A comprehensive list of changes in each version may be found in the CHANGELOG.
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
npm install @google-cloud/bigquery-data-transfer
const bigqueryDataTransfer = require('@google-cloud/bigquery-data-transfer');
const client = new bigqueryDataTransfer.v1.DataTransferServiceClient();
async function quickstart() {
const projectId = await client.getProjectId();
// Iterate over all elements.
const formattedParent = client.projectPath(projectId, 'us-central1');
let nextRequest = {parent: formattedParent};
const options = {autoPaginate: false};
console.log('Data sources:');
do {
// Fetch the next page.
const responses = await client.listDataSources(nextRequest, options);
// The actual resources in a response.
const resources = responses[0];
// The next request if the response shows that there are more responses.
nextRequest = responses[1];
// The actual response object, if necessary.
// const rawResponse = responses[2];
resources.forEach(resource => {
console.log(` ${resource.name}`);
});
} while (nextRequest);
console.log('\n\n');
console.log('Sources via stream:');
client
.listDataSourcesStream({parent: formattedParent})
.on('data', element => {
console.log(` ${element.name}`);
});
}
quickstart();
Samples are in the samples/
directory. Each sample's README.md
has instructions for running its sample.
Sample | Source Code | Try it |
---|---|---|
Data_transfer_service.check_valid_creds | source code | ![]() |
Data_transfer_service.create_transfer_config | source code | ![]() |
Data_transfer_service.delete_transfer_config | source code | ![]() |
Data_transfer_service.delete_transfer_run | source code | ![]() |
Data_transfer_service.enroll_data_sources | source code | ![]() |
Data_transfer_service.get_data_source | source code | ![]() |
Data_transfer_service.get_transfer_config | source code | ![]() |
Data_transfer_service.get_transfer_run | source code | ![]() |
Data_transfer_service.list_data_sources | source code | ![]() |
Data_transfer_service.list_transfer_configs | source code | ![]() |
Data_transfer_service.list_transfer_logs | source code | ![]() |
Data_transfer_service.list_transfer_runs | source code | ![]() |
Data_transfer_service.schedule_transfer_runs | source code | ![]() |
Data_transfer_service.start_manual_transfer_runs | source code | ![]() |
Data_transfer_service.unenroll_data_sources | source code | ![]() |
Data_transfer_service.update_transfer_config | source code | ![]() |
Quickstart | source code | ![]() |
The Google BigQuery Data Transfer Service Node.js Client API Reference documentation also contains samples.
Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.
Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:
Client libraries targeting some end-of-life versions of Node.js are available, and
can be installed through npm dist-tags.
The dist-tags follow the naming convention legacy-(version)
.
For example, npm install @google-cloud/bigquery-data-transfer@legacy-8
installs client libraries
for versions compatible with Node.js 8.
This library follows Semantic Versioning.
This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stable libraries are addressed with the highest priority.
More Information: Google Cloud Platform Launch Stages
Contributions welcome! See the Contributing Guide.
Please note that this README.md
, the samples/README.md
,
and a variety of configuration files in this repository (including .nycrc
and tsconfig.json
)
are generated from a central template. To edit one of these files, make an edit
to its templates in
directory.
Apache Version 2.0
See LICENSE
FAQs
BigQuery Data Transfer API client for Node.js
The npm package @google-cloud/bigquery-data-transfer receives a total of 9,598 weekly downloads. As such, @google-cloud/bigquery-data-transfer popularity was classified as popular.
We found that @google-cloud/bigquery-data-transfer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.