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March 13, 2023 03:58
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Big Query Nodejs example
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'use strict'; | |
function main() { | |
const projectId = 'project-name'; | |
const datasetId = 'my_dataset'; | |
const tableId = 'animals'; | |
const datasetLocation = 'asia-southeast2'; | |
// [START bigquery_client_json_credentials] | |
// Create a BigQuery client explicitly using service account credentials. | |
// by specifying the private key file. | |
const {BigQuery} = require('@google-cloud/bigquery'); | |
const bogQueryOptions = { | |
keyFilename: 'service_account_file.json', | |
projectId: projectId, | |
}; | |
const bigquery = new BigQuery(bogQueryOptions); | |
// [END bigquery_client_json_credentials] | |
async function insert() { | |
const rows = [ | |
{Name: 'Tom', Age: 30, Weight: 78, IsMagic: true}, | |
{Name: 'Jane', Age: 22, Weight: 56, IsMagic: true}, | |
{Name: 'Bonny', Age: 30, Weight: 78, IsMagic: false} | |
]; | |
// Insert data into a table | |
await bigquery | |
.dataset(datasetId) | |
.table(tableId) | |
.insert(rows); | |
console.log(`Inserted ${rows.length} rows`); | |
} | |
async function query() { | |
const query = `SELECT name | |
FROM \`${projectId}.${datasetId}.${tableId}\` | |
WHERE IsMagic = true | |
LIMIT 100`; | |
// For all options, see https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/query | |
const options = { | |
query: query, | |
// Location must match that of the dataset(s) referenced in the query. | |
location: datasetLocation, | |
}; | |
// Run the query as a job | |
const [job] = await bigquery.createQueryJob(options); | |
console.log(`Job ${job.id} started.`); | |
// Wait for the query to finish | |
const [rows] = await job.getQueryResults(); | |
// Print the results | |
console.log('Rows:'); | |
rows.forEach(row => console.log(row)); | |
} | |
async function createTable() { | |
const schema = [ | |
{name: 'Name', type: 'STRING', mode: 'REQUIRED'}, | |
{name: 'Age', type: 'INTEGER'}, | |
{name: 'Weight', type: 'FLOAT'}, | |
{name: 'IsMagic', type: 'BOOLEAN'}, | |
] | |
// Creates a new table named "my_table" in "my_dataset". | |
/** | |
* TODO(developer): Uncomment the following lines before running the sample. | |
*/ | |
// const datasetId = "my_dataset"; | |
// const tableId = "my_table"; | |
// const schema = 'Name:string, Age:integer, Weight:float, IsMagic:boolean'; | |
// For all options, see https://cloud.google.com/bigquery/docs/reference/v2/tables#resource | |
const options = { | |
schema: schema, | |
location: datasetLocation, | |
}; | |
// Create a new table in the dataset | |
const [table] = await bigquery | |
.dataset(datasetId) | |
.createTable(tableId, options); | |
console.log(`Table ${table.id} created.`); | |
} | |
// createTable(); | |
// insert(); | |
query(); | |
} | |
main(...process.argv.slice(2)); |
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