Crate elasticube_core 

ElastiCube Core Library

A high-performance, embeddable OLAP cube builder and query library built on Apache Arrow.

Features

• Columnar Storage: Efficient field-by-field storage using Apache Arrow
• No Pre-Aggregation: Query raw data with dynamic aggregations
• Multi-Source: Combine data from CSV, Parquet, JSON, and custom sources
• Fast: Near C-level performance with parallel query execution

Example

use elasticube_core::{ElastiCubeBuilder, AggFunc};

#[tokio::main]
async fn main() -> Result<()> {
    let cube = ElastiCubeBuilder::new()
        .add_dimension("region", DataType::Utf8)
        .add_measure("sales", DataType::Float64, AggFunc::Sum)
        .load_csv("data.csv")?
        .build()?;

    let results = cube.query()
        .select(&["region", "sum(sales)"])
        .group_by(&["region"])
        .execute()
        .await?;

    Ok(())
}

Re-exports

pub use builder::ElastiCubeBuilder;

pub use cache::CacheStats;

pub use cache::QueryCache;

pub use cache::QueryCacheKey;

pub use cube::AggFunc;

pub use cube::CalculatedMeasure;

pub use cube::CubeSchema;

pub use cube::Dimension;

pub use cube::ElastiCube;

pub use cube::Hierarchy;

pub use cube::Measure;

pub use cube::VirtualDimension;

pub use error::Error;

pub use error::Result;

pub use optimization::ColumnStatistics;

pub use optimization::CubeStatistics;

pub use optimization::OptimizationConfig;

pub use query::QueryBuilder;

pub use query::QueryResult;

pub use sources::CsvSource;

pub use sources::DataSource;

pub use sources::JsonSource;

pub use sources::ParquetSource;

pub use sources::RecordBatchSource;

Modules

builder

ElastiCube builder for constructing cubes

cache

Query result caching for improved performance

cube

Core ElastiCube data structures

error

Error types for ElastiCube

optimization

Performance optimization features for ElastiCube

query

Query API for ElastiCube

sources

Data source connectors for ElastiCube

storage

Storage backend for ElastiCube data