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Connect Google BigQuery and Microsoft SQL Server in our serverless environment

Use this template to Read rows from Google BigQuery table using them to insert rows into Microsoft SQL Server table.

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Read rows from Google BigQuery table

Used integrations:
class GoogleBigquerySourceSelect {
async init() {
// TODO: Create your google-bigquery credential
// More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
this.googleBigQuery = yepcode.integration.googleBigQuery(
"your-google-bigquery-credential-name"
);
}

async fetch(publish, done) {
// TODO: Customize your query
const query = `SELECT *
FROM \`your_db.your_schema.your_table_name\`
LIMIT 10`;

// 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: "US",
};

// run the query as a job
const [job] = await this.googleBigQuery.createQueryJob(options);
console.log(`Job ${job.id} started.`);

// wait for the query to finish
const [rows] = await job.getQueryResults();
for (const row of rows) {
await publish(row);
}
done();
}

async close() {}
}

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Insert rows into Microsoft SQL Server table

Used integrations:
class MssqlTargetInsert {
async init() {
// TODO: Create your mssql credential
// More info at https://yepcode.io/docs/integrations/mssql/#credential-configuration
const mssqlConnectionPool = yepcode.integration.mssql(
"your-mssql-credential-name"
);
this.pool = await mssqlConnectionPool.connect();
}

async consume(item) {
// TODO: Customize input params and INSERT statement
await this.pool
.request()
.input("name", mssql.VarChar(50), item.name)
.input("price", mssql.Int, item.price)
.input("stock", mssql.Int, item.stock)
.query(
"INSERT INTO products(name, price, stock, created_at) VALUES(@name, @price, @stock, CURRENT_TIMESTAMP)"
);
}

async close() {
await this.pool.close();
}
}

Other combinations

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