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use crate::geo::GeometryArray; | ||
use crate::DFResult; | ||
use arrow_array::cast::AsArray; | ||
use arrow_array::{BooleanArray, GenericBinaryArray, OffsetSizeTrait}; | ||
use arrow_schema::DataType; | ||
use datafusion_common::{internal_datafusion_err, internal_err}; | ||
use datafusion_expr::{ColumnarValue, ScalarUDFImpl, Signature, Volatility}; | ||
use geos::Geom; | ||
use rayon::iter::IntoParallelIterator; | ||
use std::any::Any; | ||
use std::sync::Arc; | ||
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||
#[derive(Debug)] | ||
pub struct CoversUdf { | ||
signature: Signature, | ||
aliases: Vec<String>, | ||
} | ||
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impl CoversUdf { | ||
pub fn new() -> Self { | ||
Self { | ||
signature: Signature::uniform( | ||
2, | ||
vec![DataType::Binary, DataType::LargeBinary], | ||
Volatility::Immutable, | ||
), | ||
aliases: vec!["st_covers".to_string()], | ||
} | ||
} | ||
} | ||
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impl ScalarUDFImpl for CoversUdf { | ||
fn as_any(&self) -> &dyn Any { | ||
self | ||
} | ||
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fn name(&self) -> &str { | ||
"ST_Covers" | ||
} | ||
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fn signature(&self) -> &Signature { | ||
&self.signature | ||
} | ||
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fn return_type(&self, _arg_types: &[DataType]) -> datafusion_common::Result<DataType> { | ||
Ok(DataType::Boolean) | ||
} | ||
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fn invoke(&self, args: &[ColumnarValue]) -> datafusion_common::Result<ColumnarValue> { | ||
let (arr0, arr1) = match (args[0].clone(), args[1].clone()) { | ||
(ColumnarValue::Array(arr0), ColumnarValue::Array(arr1)) => (arr0, arr1), | ||
(ColumnarValue::Array(arr0), ColumnarValue::Scalar(scalar)) => { | ||
(arr0.clone(), scalar.to_array_of_size(arr0.len())?) | ||
} | ||
(ColumnarValue::Scalar(scalar), ColumnarValue::Array(arr1)) => { | ||
(scalar.to_array_of_size(arr1.len())?, arr1) | ||
} | ||
(ColumnarValue::Scalar(scalar0), ColumnarValue::Scalar(scalar1)) => { | ||
(scalar0.to_array_of_size(1)?, scalar1.to_array_of_size(1)?) | ||
} | ||
}; | ||
if arr0.len() != arr1.len() { | ||
return internal_err!("Two arrays length is not same"); | ||
} | ||
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match (arr0.data_type(), arr1.data_type()) { | ||
(DataType::Binary, DataType::Binary) => { | ||
let arr0 = arr0.as_binary::<i32>(); | ||
let arr1 = arr1.as_binary::<i32>(); | ||
covers::<i32, i32>(arr0, arr1) | ||
} | ||
(DataType::LargeBinary, DataType::Binary) => { | ||
let arr0 = arr0.as_binary::<i64>(); | ||
let arr1 = arr1.as_binary::<i32>(); | ||
covers::<i64, i32>(arr0, arr1) | ||
} | ||
(DataType::Binary, DataType::LargeBinary) => { | ||
let arr0 = arr0.as_binary::<i32>(); | ||
let arr1 = arr1.as_binary::<i64>(); | ||
covers::<i32, i64>(arr0, arr1) | ||
} | ||
(DataType::LargeBinary, DataType::LargeBinary) => { | ||
let arr0 = arr0.as_binary::<i64>(); | ||
let arr1 = arr1.as_binary::<i64>(); | ||
covers::<i64, i64>(arr0, arr1) | ||
} | ||
_ => unreachable!(), | ||
} | ||
} | ||
} | ||
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impl Default for CoversUdf { | ||
fn default() -> Self { | ||
Self::new() | ||
} | ||
} | ||
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fn covers<O: OffsetSizeTrait, F: OffsetSizeTrait>( | ||
arr0: &GenericBinaryArray<O>, | ||
arr1: &GenericBinaryArray<F>, | ||
) -> DFResult<ColumnarValue> { | ||
let bool_vec = (0..arr0.geom_len()) | ||
.into_par_iter() | ||
.map( | ||
|geom_index| match (arr0.geos_value(geom_index)?, arr1.geos_value(geom_index)?) { | ||
(Some(geom0), Some(geom1)) => { | ||
let result = geom0.covers(&geom1).map_err(|e| { | ||
internal_datafusion_err!("Failed to do covers, error: {}", e) | ||
})?; | ||
Ok(Some(result)) | ||
} | ||
_ => Ok(None), | ||
}, | ||
) | ||
.collect::<DFResult<Vec<Option<bool>>>>()?; | ||
Ok(ColumnarValue::Array(Arc::new(BooleanArray::from(bool_vec)))) | ||
} | ||
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#[cfg(test)] | ||
mod tests { | ||
use crate::function::{CoversUdf, GeomFromTextUdf}; | ||
use arrow::util::pretty::pretty_format_batches; | ||
use datafusion::prelude::SessionContext; | ||
use datafusion_expr::ScalarUDF; | ||
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#[tokio::test] | ||
async fn covers() { | ||
let ctx = SessionContext::new(); | ||
ctx.register_udf(ScalarUDF::from(GeomFromTextUdf::new())); | ||
ctx.register_udf(ScalarUDF::from(CoversUdf::new())); | ||
let df = ctx | ||
.sql("select ST_Covers(ST_GeomFromText('LINESTRING ( 1 1, 0 2 )'), ST_GeomFromText('POINT(1 1)'))") | ||
.await | ||
.unwrap(); | ||
assert_eq!( | ||
pretty_format_batches(&df.collect().await.unwrap()) | ||
.unwrap() | ||
.to_string(), | ||
"" | ||
); | ||
} | ||
} |
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