datasketches 0.2.0

A software library of stochastic streaming algorithms (a.k.a. sketches)
Documentation
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//! Frequency sketches for finding heavy hitters in data streams.
//!
//! This module implements the Frequent Items sketch from Apache DataSketches. It tracks
//! approximate frequencies in a stream and can report heavy hitters with explicit
//! error guarantees (no false negatives or no false positives).
//!
//! For background, see the Java documentation:
//! <https://apache.github.io/datasketches-java/9.0.0/org/apache/datasketches/frequencies/FrequentItemsSketch.html>
//!
//! # Usage
//!
//! ```rust
//! # use datasketches::frequencies::ErrorType;
//! # use datasketches::frequencies::FrequentItemsSketch;
//! let mut sketch = FrequentItemsSketch::<i64>::new(64);
//! sketch.update_with_count(1, 3);
//! sketch.update(2);
//! let rows = sketch.frequent_items(ErrorType::NoFalseNegatives);
//! assert!(rows.iter().any(|row| *row.item() == 1));
//! ```
//!
//! # Serialization
//!
//! ```rust
//! # use datasketches::frequencies::FrequentItemsSketch;
//! let mut sketch = FrequentItemsSketch::<i64>::new(64);
//! sketch.update_with_count(42, 2);
//!
//! let bytes = sketch.serialize();
//! let decoded = FrequentItemsSketch::<i64>::deserialize(&bytes).unwrap();
//! assert!(decoded.estimate(&42) >= 2);
//! ```

mod reverse_purge_item_hash_map;
mod serialization;
mod sketch;

pub use self::sketch::ErrorType;
pub use self::sketch::FrequentItemsSketch;
pub use self::sketch::Row;