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Version: Current

BigQuery support

Squids can store their data to BigQuery datasets using the @subsquid/bigquery-store package. Define and use the Database object as follows:

src/main.ts
import {
Column,
Table,
Types,
Database
} from '@subsquid/bigquery-store'
import {BigQuery} from '@google-cloud/bigquery'

const db = new Database({
bq: new BigQuery(),
dataset: 'subsquid-datasets.test_dataset',
tables: {
TransfersTable: new Table(
'transfers',
{
from: Column(Types.String()),
to: Column(Types.String()),
value: Column(Types.BigNumeric(38))
}
)
}
})

processor.run(db, async ctx => {
// ...
let from: string = ...
let to: string = ...
let value: bigint | number = ...
ctx.store.TransfersTable.insert({from, to, value})
})

Here,

  • bq is a BigQuery instance. When created without arguments like this it'll look at the GOOGLE_APPLICATION_CREDENTIALS environment variable for a path to a JSON with authentication details.
  • dataset is the path to the target dataset.
warning

The dataset must be created prior to running the processor.

  • tables lists the tables that will be created and populated within the dataset. For every field of the tables object an eponymous field of the ctx.store object will be created; calling insert() or insertMany() on such a field will result in data being queued for writing to the corresponding dataset table. The actual writing will be done at the end of the batch in a single transaction, ensuring dataset integrity.

Tables are made out of statically typed columns. Available types are listed on the reference page.

Deploying to Subsquid Cloud

We discourage uploading any sensitive data with squid code when deploying to Subsquid Cloud. To pass your credentials JSON to your squid, create a Cloud secret variable populated with its contents:

sqd secrets set GAC_JSON_FILE < creds.json

Then in src/main.ts write the contents to a file:

import fs from 'fs'

fs.writeFileSync('creds.json', process.env.GAC_JSON_FILE || '')

Set the GOOGLE_APPLICATION_CREDENTIALS variable and request the secret in the deployment manifest:

squid.yaml
deploy:
processor:
env:
GAC_JSON_FILE: ${{ secrets.GAC_JSON_FILE }}
GOOGLE_APPLICATION_CREDENTIALS: creds.json

Examples

An end-to-end example geared towards local runs can be found in this repo. Look at this branch for an example of a squid made for deployment to Subsquid Cloud.