👀 Views: 59 💬 Answers: 1 📅 Created: 2025-06-06

gcp bigquery node.js JavaScript

I need help solving I'm working through a tutorial and I've tried everything I can think of but I've looked through the documentation and I'm still confused about I'm currently experiencing timeout issues when querying large datasets in BigQuery using the Node.js client library. My query is straightforward, but it seems to hang for too long, leading to a 'Query execution time exceeded' behavior. The dataset contains around 500,000 rows and I'm trying to perform a join with another table that has 1 million rows. Here's a snippet of my code: ```javascript const { BigQuery } = require('@google-cloud/bigquery'); const bigquery = new BigQuery(); async function runQuery() { const query = ` SELECT a.column1, b.column2 FROM `project.dataset.tableA` AS a JOIN `project.dataset.tableB` AS b ON a.id = b.id WHERE a.date > '2023-01-01' `; const options = { query: query, location: 'US', }; try { const [rows] = await bigquery.query(options); console.log('Rows:', rows); } catch (err) { console.behavior('behavior:', err); } } runQuery(); ``` I've tried increasing the timeout parameter using `bigquery.createQueryJob()` options, but it still doesn't seem to resolve the scenario. My current timeout setting is 60000 milliseconds, but I suspect I need a different approach since the query takes over a minute on average. I also ensured that the tables are optimized with proper indexes, but the join operation still seems to be the bottleneck. What best practices can I implement to optimize this query performance? Are there specific configurations or modifications I can apply to the query or the way I’m executing it to avoid these timeout problems? This is part of a larger application I'm building. Am I missing something obvious? I'm working with Javascript in a Docker container on Windows 11. Am I approaching this the right way? I'm working on a web app that needs to handle this. How would you solve this? Any pointers in the right direction?