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loadTablePartitioned.js
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loadTablePartitioned.js
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// Copyright 2019 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.
'use strict';
function main(datasetId = 'my_dataset', tableId = 'my_new_table') {
// [START bigquery_load_table_partitioned]
// Import the Google Cloud client libraries
const {BigQuery} = require('@google-cloud/bigquery');
const {Storage} = require('@google-cloud/storage');
// Instantiate clients
const bigquery = new BigQuery();
const storage = new Storage();
/**
* This sample loads the CSV file at
* https://storage.googleapis.com/cloud-samples-data/bigquery/us-states/us-states.csv
*
* TODO(developer): Replace the following lines with the path to your file.
*/
const bucketName = 'cloud-samples-data';
const filename = 'bigquery/us-states/us-states-by-date.csv';
async function loadTablePartitioned() {
// Load data into a table that uses column-based time partitioning.
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const datasetId = 'my_dataset';
// const tableId = 'my_new_table';
// Configure the load job. For full list of options, see:
// https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobConfigurationLoad
const partitionConfig = {
type: 'DAY',
expirationMs: '7776000000', // 90 days
field: 'date',
};
const metadata = {
sourceFormat: 'CSV',
skipLeadingRows: 1,
schema: {
fields: [
{name: 'name', type: 'STRING'},
{name: 'post_abbr', type: 'STRING'},
{name: 'date', type: 'DATE'},
],
},
location: 'US',
timePartitioning: partitionConfig,
};
// Load data from a Google Cloud Storage file into the table
const [job] = await bigquery
.dataset(datasetId)
.table(tableId)
.load(storage.bucket(bucketName).file(filename), metadata);
// load() waits for the job to finish
console.log(`Job ${job.id} completed.`);
}
// [END bigquery_load_table_partitioned]
loadTablePartitioned();
}
main(...process.argv.slice(2));