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ConcurrentGraph

Struct ConcurrentGraph 

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pub struct ConcurrentGraph { /* private fields */ }
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A concurrent, lock-free graph implementation

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impl ConcurrentGraph

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pub fn new() -> Self

Create a new concurrent graph

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pub fn insert(&self, triple: Triple) -> Result<bool, OxirsError>

Insert a triple into the graph (lock-free)

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pub fn remove(&self, triple: &Triple) -> Result<bool, OxirsError>

Remove a triple from the graph (lock-free)

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pub fn contains(&self, triple: &Triple) -> bool

Check if a triple exists (wait-free)

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pub fn len(&self) -> usize

Get the number of triples (wait-free)

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pub fn is_empty(&self) -> bool

Check if the graph is empty (wait-free)

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pub fn iter(&self) -> impl Iterator<Item = Triple> + '_

Iterate over all triples (wait-free snapshot)

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pub fn match_pattern( &self, subject: Option<&Subject>, predicate: Option<&Predicate>, object: Option<&Object>, ) -> Vec<Triple>

Find triples matching a pattern (wait-free)

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pub fn stats(&self) -> GraphStats

Get statistics about the graph

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pub fn collect(&self)

Force memory reclamation

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impl ConcurrentGraph

Batch operations for improved performance

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pub fn insert_batch(&self, triples: Vec<Triple>) -> Result<usize, OxirsError>

Insert multiple triples in a batch

For small batches (<100), uses sequential insertion. For large batches, uses parallel insertion with concurrent index updates.

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pub fn remove_batch(&self, triples: &[Triple]) -> Result<usize, OxirsError>

Remove multiple triples in a batch

For small batches (<100), uses sequential removal. For large batches, uses parallel removal with concurrent index updates.

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pub fn rebuild_indices(&self) -> Result<(), OxirsError>

Rebuild all indices from scratch (useful for optimization after many operations)

This operation is expensive but can improve query performance by defragmenting the index structures and removing empty entries.

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pub fn clear(&self) -> Result<(), OxirsError>

Clear all triples from the graph

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impl Default for ConcurrentGraph

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fn default() -> Self

Returns the “default value” for a type. Read more

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