Optimize database query pipeline for high-throughput workloads

● Open ● High Priority Opened by @alex_dev · 4 days ago

The current query execution plan causes significant latency under concurrent load. We need to implement connection pooling, query batching, and add materialized views for the reporting endpoints.

Expected behavior: Response time should drop from ~800ms to <200ms under 500 RPS.

async function executeBatchQuery(pool, queries) {
  const client = await pool.connect();
  try {
    await client.query('BEGIN');
    const results = await Promise.all(
      queries.map(q => client.query(q.text, q.values))
    );
    await client.query('COMMIT');
    return results;
  } catch (err) {
    await client.query('ROLLBACK');
    throw err;
  } finally {
    client.release();
  }
}

Activity & Comments

@alex_dev linked a pull request #1315 that will close this issue

2 hours ago

@sarah_kim commented:
Great find! The connection pool size should be dynamic based on CPU cores. I'll review the PR shortly.

Yesterday at 4:32 PM

@marcus_r added labels: performance backend

4 days ago

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