AsyncQueryBuilder

Struct AsyncQueryBuilder 

Source
pub struct AsyncQueryBuilder { /* private fields */ }
Expand description

Builder for constructing async queries over the graph

Provides a fluent API for filtering and executing queries asynchronously. Supports both batch loading and streaming for memory-efficient processing.

§Examples

use llm_memory_graph::query::AsyncQueryBuilder;
use llm_memory_graph::types::NodeType;
use futures::stream::StreamExt;

// Query with filters
let nodes = builder
    .node_type(NodeType::Prompt)
    .limit(100)
    .execute()
    .await?;

// Stream large result sets
let mut stream = builder.execute_stream();
while let Some(node) = stream.next().await {
    // Process node...
}

Implementations§

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impl AsyncQueryBuilder

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pub fn new(storage: Arc<dyn AsyncStorageBackend>) -> Self

Create a new async query builder

§Examples
use llm_memory_graph::query::AsyncQueryBuilder;
use llm_memory_graph::storage::AsyncSledBackend;
use std::sync::Arc;

let backend = AsyncSledBackend::open("./data/graph.db").await?;
let builder = AsyncQueryBuilder::new(Arc::new(backend));
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pub fn session(self, session_id: SessionId) -> Self

Filter by session ID

§Examples
let nodes = builder
    .session(session_id)
    .execute()
    .await?;
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pub fn node_type(self, node_type: NodeType) -> Self

Filter by node type

§Examples
let prompts = builder
    .node_type(NodeType::Prompt)
    .execute()
    .await?;
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pub fn time_range(self, start: DateTime<Utc>, end: DateTime<Utc>) -> Self

Filter by time range (inclusive)

§Examples
let start = Utc::now() - chrono::Duration::hours(24);
let end = Utc::now();

let recent_nodes = builder
    .time_range(start, end)
    .execute()
    .await?;
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pub fn limit(self, limit: usize) -> Self

Limit the number of results

§Examples
let first_10 = builder
    .limit(10)
    .execute()
    .await?;
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pub fn offset(self, offset: usize) -> Self

Skip the first N results

§Examples
// Get results 11-20 (skip first 10, take next 10)
let page2 = builder
    .offset(10)
    .limit(10)
    .execute()
    .await?;
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pub async fn execute(&self) -> Result<Vec<Node>>

Execute the query and return all matching nodes

This loads all results into memory. For large result sets, consider using execute_stream() instead.

§Examples
let nodes = builder.execute().await?;
println!("Found {} nodes", nodes.len());
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pub fn execute_stream( &self, ) -> Pin<Box<dyn Stream<Item = Result<Node>> + Send + '_>>

Execute the query and return a stream of results

This is memory-efficient for large result sets as it processes nodes one at a time without loading everything into memory. The stream uses storage-level streaming to avoid loading all nodes at once.

§Examples
let mut stream = builder.execute_stream();

let mut count = 0;
while let Some(result) = stream.next().await {
    match result {
        Ok(node) => {
            // Process node without loading all into memory
            count += 1;
        }
        Err(e) => eprintln!("Error: {}", e),
    }
}

println!("Processed {} nodes", count);
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pub async fn count(&self) -> Result<usize>

Count the number of matching nodes without loading them

This is more efficient than execute().await?.len() for large result sets as it uses storage-level counting when possible.

§Examples
let prompt_count = builder
    .node_type(NodeType::Prompt)
    .count()
    .await?;

println!("Total prompts: {}", prompt_count);

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