Async Programming - Non-blocking Database Operations | Tags

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Non-blocking I/O allows your application to handle thousands of concurrent database operations efficiently without dedicating a thread to each request. <h3 id="why-async-matters" class="position-relative d-flex align-items-center group"> Why Async Matters <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="why-async-matters" aria-haspopup="dialog" aria-label="Share link: Why Async Matters"> Share link </button> </h3>Traditional blocking I/O ties up a thread while waiting for database responses. With async programming: <ul> <li>A single thread can manage many concurrent operations</li> <li>Memory usage scales better (no thread-per-request overhead)</li> <li>Latency-sensitive applications respond faster</li> <li>Resource utilization improves dramatically</li> </ul> <h3 id="python-async-client" class="position-relative d-flex align-items-center group"> Python Async Client <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="python-async-client" aria-haspopup="dialog" aria-label="Share link: Python Async Client"> Share link </button> </h3>The Python client is built on asyncio and aioquic for fully async operation: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python">import asyncio from geode_client import Client async def main(): client = Client(host="localhost", port=3141) async with client.connection() as conn: # Non-blocking query execution result, _ = await conn.query(""" MATCH (u:User)-[:FOLLOWS]->(f:User) WHERE u.id = $id RETURN f.name """, {'id': 123}) for row in result.rows: print(row['name']) # Run with asyncio asyncio.run(main()) </code></pre></div>Concurrent queries: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python">async def concurrent_queries(user_ids): client = Client(host="localhost", port=3141) async with client.connection() as conn: # Execute multiple queries concurrently tasks = [ conn.query("MATCH (u:User {id: $id}) RETURN u", {'id': uid}) for uid in user_ids ] results = await asyncio.gather(*tasks) return results </code></pre></div> <h3 id="rust-async-client-tokio" class="position-relative d-flex align-items-center group"> Rust Async Client (Tokio) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="rust-async-client-tokio" aria-haspopup="dialog" aria-label="Share link: Rust Async Client (Tokio)"> Share link </button> </h3>The Rust client integrates with the Tokio async runtime: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-rust" data-lang="rust">use geode_client::Client; use tokio; #[tokio::main] async fn main() -> Result<(), Box<dyn std::error::Error>> { let client = Client::connect("localhost:3141").await?; // Async query execution let result = client.query( "MATCH (n:Node) RETURN n.name", None ).await?; for row in result.rows() { println!("{}", row.get::<String>("name")?); } Ok(()) } </code></pre></div>Spawning concurrent tasks: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-rust" data-lang="rust">use tokio::task::JoinSet; async fn concurrent_queries(client: &Client, ids: Vec<i64>) -> Vec<QueryResult> { let mut tasks = JoinSet::new(); for id in ids { let client = client.clone(); tasks.spawn(async move { client.query( "MATCH (n:Node {id: $id}) RETURN n", Some(params!{"id" => id}) ).await }); } let mut results = Vec::new(); while let Some(result) = tasks.join_next().await { if let Ok(Ok(r)) = result { results.push(r); } } results } </code></pre></div> <h3 id="best-practices" class="position-relative d-flex align-items-center group"> Best Practices <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="best-practices" aria-haspopup="dialog" aria-label="Share link: Best Practices"> Share link </button> </h3>Don’t block the async runtime: Avoid CPU-intensive or blocking operations in async code. Use <code>spawn_blocking</code> for compute-heavy work. Use connection pooling: Combine async with connection pooling for maximum throughput. Handle errors properly: Use proper error handling patterns for async code. Batch when possible: Group related operations to reduce round-trips. <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"># Good: Batch operations async with conn.begin(): await conn.execute(""" UNWIND $items AS item CREATE (n:Node {id: item.id, data: item.data}) """, {'items': items}) await conn.commit() # Avoid: Sequential operations in a loop for item in items: # Inefficient! await conn.execute("CREATE (n:Node {id: $id})", {'id': item['id']}) </code></pre></div> <h3 id="related-topics" class="position-relative d-flex align-items-center group"> Related Topics <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="related-topics" aria-haspopup="dialog" aria-label="Share link: Related Topics"> Share link </button> </h3><ul> <li><a href="/tags/tokio/" >Tokio Runtime</a> </li> <li><a href="/tags/python/" >Python Client</a> </li> <li><a href="/tags/rust/" >Rust Client</a> </li> <li><a href="/tags/connection-pooling/" >Connection Pooling</a> </li> <li><a href="/tags/performance/" >Performance</a> </li> </ul>

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