@google-cloud/bigquery

What is @google-cloud/bigquery?

@google-cloud/bigquery is a Node.js client library for Google BigQuery, a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. This package allows you to interact with BigQuery to run queries, manage datasets, tables, and jobs, and perform data manipulations.

What are @google-cloud/bigquery's main functionalities?

Running Queries

This feature allows you to run SQL queries against your BigQuery datasets. The code sample demonstrates how to run a simple query to select names and ages from a table where the age is greater than 30.

const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();
async function query() {
  const query = 'SELECT name, age FROM `my-dataset.my-table` WHERE age > 30';
  const options = { query: query, location: 'US' };
  const [rows] = await bigquery.query(options);
  console.log('Rows:', rows);
}
query();

Managing Datasets

This feature allows you to create and manage datasets in BigQuery. The code sample demonstrates how to create a new dataset named 'my_new_dataset'.

const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();
async function createDataset() {
  const [dataset] = await bigquery.createDataset('my_new_dataset');
  console.log(`Dataset ${dataset.id} created.`);
}
createDataset();

Managing Tables

This feature allows you to create and manage tables within datasets. The code sample demonstrates how to create a new table named 'my_new_table' within the 'my_new_dataset' dataset.

const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();
async function createTable() {
  const dataset = bigquery.dataset('my_new_dataset');
  const [table] = await dataset.createTable('my_new_table');
  console.log(`Table ${table.id} created.`);
}
createTable();

Loading Data

This feature allows you to load data from various sources into BigQuery tables. The code sample demonstrates how to load data from a local CSV file into a table named 'my_new_table' within the 'my_new_dataset' dataset.

const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();
async function loadData() {
  const dataset = bigquery.dataset('my_new_dataset');
  const table = dataset.table('my_new_table');
  const [job] = await table.load('local-file.csv');
  console.log(`Job ${job.id} completed.`);
}
loadData();

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The aws-sdk package is the official AWS SDK for JavaScript, which allows you to interact with various AWS services, including Amazon Redshift, a data warehouse service similar to Google BigQuery. While aws-sdk provides a broader range of functionalities across different AWS services, it can be used to perform similar data warehousing tasks as @google-cloud/bigquery.

azure-sdk-for-js

The azure-sdk-for-js package is the official Azure SDK for JavaScript, which allows you to interact with various Azure services, including Azure Synapse Analytics, a data warehousing service similar to Google BigQuery. Like aws-sdk, azure-sdk-for-js offers a wide range of functionalities across different Azure services, including data warehousing capabilities.

snowflake-sdk

The snowflake-sdk package is the official Node.js driver for Snowflake, a cloud-based data warehousing service. It provides functionalities to connect to Snowflake, run queries, and manage data, similar to what @google-cloud/bigquery offers for Google BigQuery.

README

The README file is missing