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connection.rs
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connection.rs
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use crate::csv::CsvReadOptions;
use crate::dataframe::DataFrame;
use arrow::datatypes::Schema;
use async_trait::async_trait;
use std::collections::HashMap;
use std::sync::Arc;
use vegafusion_common::data::table::VegaFusionTable;
use vegafusion_common::error::{Result, VegaFusionError};
#[async_trait]
pub trait Connection: Send + Sync + 'static {
fn id(&self) -> String;
/// Name and schema of the tables that are provided by this connection
async fn tables(&self) -> Result<HashMap<String, Schema>>;
/// Scan a named table into a DataFrame
async fn scan_table(&self, _name: &str) -> Result<Arc<dyn DataFrame>> {
Err(VegaFusionError::sql_not_supported(
"scan_table not supported by connection",
))
}
/// Scan a VegaFusionTable into a DataFrame
async fn scan_arrow(&self, _table: VegaFusionTable) -> Result<Arc<dyn DataFrame>> {
Err(VegaFusionError::sql_not_supported(
"scan_arrow not supported by connection",
))
}
/// Scan a CSV file into a DataFrame
async fn scan_csv(&self, _url: &str, _opts: CsvReadOptions) -> Result<Arc<dyn DataFrame>> {
Err(VegaFusionError::sql_not_supported(
"scan_csv not supported by connection",
))
}
/// Scan an Arrow file (aka Feather file) into a DataFrame
async fn scan_arrow_file(&self, _url: &str) -> Result<Arc<dyn DataFrame>> {
Err(VegaFusionError::sql_not_supported(
"scan_arrow_file not supported by connection",
))
}
/// Scan an Parquet file into a DataFrame
async fn scan_parquet(&self, _url: &str) -> Result<Arc<dyn DataFrame>> {
Err(VegaFusionError::sql_not_supported(
"scan_parquet not supported by connection",
))
}
}