datafusion-functions-nested 46.0.1

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// to you under the Apache License, Version 2.0 (the
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//
//   http://www.apache.org/licenses/LICENSE-2.0
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//! [`ScalarUDFImpl`] definitions for map_extract functions.

use crate::utils::{get_map_entry_field, make_scalar_function};
use arrow::array::{
    make_array, Array, ArrayRef, Capacities, ListArray, MapArray, MutableArrayData,
};
use arrow::buffer::OffsetBuffer;
use arrow::datatypes::{DataType, Field};
use datafusion_common::utils::take_function_args;
use datafusion_common::{cast::as_map_array, exec_err, Result};
use datafusion_expr::{
    ColumnarValue, Documentation, ScalarUDFImpl, Signature, Volatility,
};
use datafusion_macros::user_doc;
use std::any::Any;
use std::sync::Arc;
use std::vec;

// Create static instances of ScalarUDFs for each function
make_udf_expr_and_func!(
    MapExtract,
    map_extract,
    map key,
    "Return a list containing the value for a given key or an empty list if the key is not contained in the map.",
    map_extract_udf
);

#[user_doc(
    doc_section(label = "Map Functions"),
    description = "Returns a list containing the value for the given key or an empty list if the key is not present in the map.",
    syntax_example = "map_extract(map, key)",
    sql_example = r#"```sql
SELECT map_extract(MAP {'a': 1, 'b': NULL, 'c': 3}, 'a');
----
[1]

SELECT map_extract(MAP {1: 'one', 2: 'two'}, 2);
----
['two']

SELECT map_extract(MAP {'x': 10, 'y': NULL, 'z': 30}, 'y');
----
[]
```"#,
    argument(
        name = "map",
        description = "Map expression. Can be a constant, column, or function, and any combination of map operators."
    ),
    argument(
        name = "key",
        description = "Key to extract from the map. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of the previously listed."
    )
)]
#[derive(Debug)]
pub struct MapExtract {
    signature: Signature,
    aliases: Vec<String>,
}

impl Default for MapExtract {
    fn default() -> Self {
        Self::new()
    }
}

impl MapExtract {
    pub fn new() -> Self {
        Self {
            signature: Signature::user_defined(Volatility::Immutable),
            aliases: vec![String::from("element_at")],
        }
    }
}

impl ScalarUDFImpl for MapExtract {
    fn as_any(&self) -> &dyn Any {
        self
    }
    fn name(&self) -> &str {
        "map_extract"
    }

    fn signature(&self) -> &Signature {
        &self.signature
    }

    fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
        let [map_type, _] = take_function_args(self.name(), arg_types)?;
        let map_fields = get_map_entry_field(map_type)?;
        Ok(DataType::List(Arc::new(Field::new_list_field(
            map_fields.last().unwrap().data_type().clone(),
            true,
        ))))
    }

    fn invoke_with_args(
        &self,
        args: datafusion_expr::ScalarFunctionArgs,
    ) -> Result<ColumnarValue> {
        make_scalar_function(map_extract_inner)(&args.args)
    }

    fn aliases(&self) -> &[String] {
        &self.aliases
    }

    fn coerce_types(&self, arg_types: &[DataType]) -> Result<Vec<DataType>> {
        let [map_type, _] = take_function_args(self.name(), arg_types)?;

        let field = get_map_entry_field(map_type)?;
        Ok(vec![
            map_type.clone(),
            field.first().unwrap().data_type().clone(),
        ])
    }

    fn documentation(&self) -> Option<&Documentation> {
        self.doc()
    }
}

fn general_map_extract_inner(
    map_array: &MapArray,
    query_keys_array: &dyn Array,
) -> Result<ArrayRef> {
    let keys = map_array.keys();
    let mut offsets = vec![0_i32];

    let values = map_array.values();
    let original_data = values.to_data();
    let capacity = Capacities::Array(original_data.len());

    let mut mutable =
        MutableArrayData::with_capacities(vec![&original_data], true, capacity);

    for (row_index, offset_window) in map_array.value_offsets().windows(2).enumerate() {
        let start = offset_window[0] as usize;
        let end = offset_window[1] as usize;
        let len = end - start;

        let query_key = query_keys_array.slice(row_index, 1);

        let value_index =
            (0..len).find(|&i| keys.slice(start + i, 1).as_ref() == query_key.as_ref());

        match value_index {
            Some(index) => {
                mutable.extend(0, start + index, start + index + 1);
            }
            None => {
                mutable.extend_nulls(1);
            }
        }
        offsets.push(offsets[row_index] + 1);
    }

    let data = mutable.freeze();

    Ok(Arc::new(ListArray::new(
        Arc::new(Field::new_list_field(map_array.value_type().clone(), true)),
        OffsetBuffer::<i32>::new(offsets.into()),
        Arc::new(make_array(data)),
        None,
    )))
}

fn map_extract_inner(args: &[ArrayRef]) -> Result<ArrayRef> {
    let [map_arg, key_arg] = take_function_args("map_extract", args)?;

    let map_array = match map_arg.data_type() {
        DataType::Map(_, _) => as_map_array(&map_arg)?,
        _ => return exec_err!("The first argument in map_extract must be a map"),
    };

    let key_type = map_array.key_type();

    if key_type != key_arg.data_type() {
        return exec_err!(
            "The key type {} does not match the map key type {}",
            key_arg.data_type(),
            key_type
        );
    }

    general_map_extract_inner(map_array, key_arg)
}