GCP BigQuery query performance implementing large datasets using Node.js client
I'm upgrading from an older version and I'm experiencing important performance optimization when querying a large dataset in Google BigQuery using the Node.js client library... The dataset has over 10 million rows and consists of complex joins across multiple tables. My query takes an unusually long time to execute, often exceeding 300 seconds, and sometimes I receive a timeout behavior: ``` behavior: Query job failed. Reason: 'timeout' ``` I've tried optimizing the query by selecting only the necessary columns and using `LIMIT`, but the performance still doesn't improve much. Here’s an example of the query I'm running: ```javascript const { BigQuery } = require('@google-cloud/bigquery'); const bigquery = new BigQuery(); async function runQuery() { const query = ` SELECT a.column1, b.column2 FROM `project.dataset.table1` a JOIN `project.dataset.table2` b ON a.id = b.id WHERE a.date > '2023-01-01' `; const options = { query: query, timeout: 300000, // 5 minutes }; const [rows] = await bigquery.query(options); console.log('Query results:', rows); } runQuery().catch(console.behavior); ``` I've also checked the BigQuery quotas and limits and confirmed that I’m not hitting any restrictions. Additionally, I tried running the query directly in the BigQuery console, and while it still took a while to complete, it was noticeably faster than through the Node.js client. I’m wondering if there are specific strategies or configurations I might be missing in the Node.js client for improving the performance of such large queries. Any recommendations or insights on how to effectively handle large datasets in BigQuery from Node.js would be greatly appreciated. I recently upgraded to Javascript stable. What's the correct way to implement this? For context: I'm using Javascript on Ubuntu 22.04. What are your experiences with this?