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@google-cloud/bigquery-storage
Advanced tools
Client for the BigQuery Storage API
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-storage
// The read stream contains blocks of Avro-encoded bytes. We use the
// 'avsc' library to decode these blocks. Install avsc with the following
// command: npm install avsc
const avro = require('avsc');
// See reference documentation at
// https://cloud.google.com/bigquery/docs/reference/storage
const {BigQueryReadClient} = require('@google-cloud/bigquery-storage');
const client = new BigQueryReadClient();
async function bigqueryStorageQuickstart() {
// Get current project ID. The read session is created in this project.
// This project can be different from that which contains the table.
const myProjectId = await client.getProjectId();
// This example reads baby name data from the public datasets.
const projectId = 'bigquery-public-data';
const datasetId = 'usa_names';
const tableId = 'usa_1910_current';
const tableReference = `projects/${projectId}/datasets/${datasetId}/tables/${tableId}`;
const parent = `projects/${myProjectId}`;
/* We limit the output columns to a subset of those allowed in the table,
* and set a simple filter to only report names from the state of
* Washington (WA).
*/
const readOptions = {
selectedFields: ['name', 'number', 'state'],
rowRestriction: 'state = "WA"',
};
let tableModifiers = null;
const snapshotSeconds = 0;
// Set a snapshot time if it's been specified.
if (snapshotSeconds > 0) {
tableModifiers = {snapshotTime: {seconds: snapshotSeconds}};
}
// API request.
const request = {
parent,
readSession: {
table: tableReference,
// This API can also deliver data serialized in Apache Arrow format.
// This example leverages Apache Avro.
dataFormat: 'AVRO',
readOptions,
tableModifiers,
},
};
const [session] = await client.createReadSession(request);
const schema = JSON.parse(session.avroSchema.schema);
const avroType = avro.Type.forSchema(schema);
/* The offset requested must be less than the last
* row read from ReadRows. Requesting a larger offset is
* undefined.
*/
let offset = 0;
const readRowsRequest = {
// Required stream name and optional offset. Offset requested must be less than
// the last row read from readRows(). Requesting a larger offset is undefined.
readStream: session.streams[0].name,
offset,
};
const names = new Set();
const states = [];
/* We'll use only a single stream for reading data from the table. Because
* of dynamic sharding, this will yield all the rows in the table. However,
* if you wanted to fan out multiple readers you could do so by having a
* reader process each individual stream.
*/
client
.readRows(readRowsRequest)
.on('error', console.error)
.on('data', data => {
offset = data.avroRows.serializedBinaryRows.offset;
try {
// Decode all rows in buffer
let pos;
do {
const decodedData = avroType.decode(
data.avroRows.serializedBinaryRows,
pos
);
if (decodedData.value) {
names.add(decodedData.value.name);
if (!states.includes(decodedData.value.state)) {
states.push(decodedData.value.state);
}
}
pos = decodedData.offset;
} while (pos > 0);
} catch (error) {
console.log(error);
}
})
.on('end', () => {
console.log(`Got ${names.size} unique names in states: ${states}`);
console.log(`Last offset: ${offset}`);
});
}
Samples are in the samples/
directory. Each sample's README.md
has instructions for running its sample.
Sample | Source Code | Try it |
---|---|---|
BigQuery Storage Quickstart | source code | ![]() |
The Google BigQuery Storage 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.
Client libraries targeting some end-of-life versions of Node.js are available, and
can be installed via npm dist-tags.
The dist-tags follow the naming convention legacy-(version)
.
Legacy Node.js versions are supported as a best effort:
legacy-8
: install client libraries from this dist-tag for versions
compatible with Node.js 8.This library follows Semantic Versioning.
This library is considered to be General Availability (GA). This means it is 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 GA 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 template in this
directory.
Apache Version 2.0
See LICENSE
FAQs
Client for the BigQuery Storage API
The npm package @google-cloud/bigquery-storage receives a total of 20,346 weekly downloads. As such, @google-cloud/bigquery-storage popularity was classified as popular.
We found that @google-cloud/bigquery-storage demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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