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inspectBigQueryTableWithSampling.js
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// Copyright 2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// sample-metadata:
// title: Inspect Bigquery with sampling
// description: Inspects a BigQuery table using the Data Loss Prevention API to scan a 1000-row subset of a BigQuery table.
// usage: node inspectBigQueryTableWithSampling.js my-project dataProjectId datasetId tableId topicId subscriptionId
async function main(
projectId,
dataProjectId,
datasetId,
tableId,
topicId,
subscriptionId
) {
// [START dlp_inspect_bigquery_with_sampling]
// Import the Google Cloud client libraries
const DLP = require('@google-cloud/dlp');
const {PubSub} = require('@google-cloud/pubsub');
// Instantiates clients
const dlp = new DLP.DlpServiceClient();
const pubsub = new PubSub();
// The project ID to run the API call under
// const projectId = 'my-project';
// The project ID the table is stored under
// This may or (for public datasets) may not equal the calling project ID
// const dataProjectId = 'my-project';
// The ID of the dataset to inspect, e.g. 'my_dataset'
// const datasetId = 'my_dataset';
// The ID of the table to inspect, e.g. 'my_table'
// const tableId = 'my_table';
// The name of the Pub/Sub topic to notify once the job completes
// TODO(developer): create a Pub/Sub topic to use for this
// const topicId = 'MY-PUBSUB-TOPIC'
// The name of the Pub/Sub subscription to use when listening for job
// completion notifications
// TODO(developer): create a Pub/Sub subscription to use for this
// const subscriptionId = 'MY-PUBSUB-SUBSCRIPTION'
// DLP Job max time (in milliseconds)
const DLP_JOB_WAIT_TIME = 15 * 1000 * 60;
async function inspectBigqueryWithSampling() {
// Specify the type of info the inspection will look for.
// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
const infoTypes = [{name: 'PERSON_NAME'}];
// Specify the BigQuery options required for inspection.
const storageItem = {
bigQueryOptions: {
tableReference: {
projectId: dataProjectId,
datasetId: datasetId,
tableId: tableId,
},
rowsLimit: 1000,
sampleMethod:
DLP.protos.google.privacy.dlp.v2.BigQueryOptions.SampleMethod
.RANDOM_START,
includedFields: [{name: 'name'}],
},
};
// Specify the action that is triggered when the job completes.
const actions = [
{
pubSub: {
topic: `projects/${projectId}/topics/${topicId}`,
},
},
];
// Construct request for creating an inspect job
const request = {
parent: `projects/${projectId}/locations/global`,
inspectJob: {
inspectConfig: {
infoTypes: infoTypes,
includeQuote: true,
},
storageConfig: storageItem,
actions: actions,
},
};
// Use the client to send the request.
const [topicResponse] = await pubsub.topic(topicId).get();
// Verify the Pub/Sub topic and listen for job notifications via an
// existing subscription.
const subscription = await topicResponse.subscription(subscriptionId);
const [jobsResponse] = await dlp.createDlpJob(request);
const jobName = jobsResponse.name;
// Watch the Pub/Sub topic until the DLP job finishes
await new Promise((resolve, reject) => {
// Set up the timeout
const timer = setTimeout(() => {
reject(new Error('Timeout'));
}, DLP_JOB_WAIT_TIME);
const messageHandler = message => {
if (message.attributes && message.attributes.DlpJobName === jobName) {
message.ack();
subscription.removeListener('message', messageHandler);
subscription.removeListener('error', errorHandler);
clearTimeout(timer);
resolve(jobName);
} else {
message.nack();
}
};
const errorHandler = err => {
subscription.removeListener('message', messageHandler);
subscription.removeListener('error', errorHandler);
clearTimeout(timer);
reject(err);
};
subscription.on('message', messageHandler);
subscription.on('error', errorHandler);
});
const [job] = await dlp.getDlpJob({name: jobName});
console.log(`Job ${job.name} status: ${job.state}`);
const infoTypeStats = job.inspectDetails.result.infoTypeStats;
if (infoTypeStats.length > 0) {
infoTypeStats.forEach(infoTypeStat => {
console.log(
` Found ${infoTypeStat.count} instance(s) of infoType ${infoTypeStat.infoType.name}.`
);
});
} else {
console.log('No findings.');
}
}
await inspectBigqueryWithSampling();
// [END dlp_inspect_bigquery_with_sampling]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
// TODO(developer): Please uncomment below line before running sample
// main(...process.argv.slice(2));
module.exports = main;