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215
common/functions/src/scalars/semi_structureds/array_get.rs
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// Copyright 2022 Datafuse Labs. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
|
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use std::fmt; | ||
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use common_datavalues::prelude::*; | ||
use common_datavalues::with_match_scalar_types_error; | ||
use common_exception::ErrorCode; | ||
use common_exception::Result; | ||
use sqlparser::ast::Value; | ||
use sqlparser::dialect::GenericDialect; | ||
use sqlparser::parser::Parser; | ||
use sqlparser::tokenizer::Tokenizer; | ||
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use crate::scalars::Function; | ||
use crate::scalars::FunctionContext; | ||
use crate::scalars::FunctionDescription; | ||
use crate::scalars::FunctionFeatures; | ||
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pub type ArrayGetFunction = ArrayGetFunctionImpl<false>; | ||
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pub type ArrayGetPathFunction = ArrayGetFunctionImpl<true>; | ||
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#[derive(Clone)] | ||
pub struct ArrayGetFunctionImpl<const BY_PATH: bool> { | ||
array_type: ArrayType, | ||
display_name: String, | ||
} | ||
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impl<const BY_PATH: bool> ArrayGetFunctionImpl<BY_PATH> { | ||
pub fn try_create(display_name: &str, args: &[&DataTypeImpl]) -> Result<Box<dyn Function>> { | ||
let data_type = args[0]; | ||
let path_type = args[1]; | ||
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if !data_type.data_type_id().is_array() | ||
|| (BY_PATH && !path_type.data_type_id().is_string()) | ||
|| (!BY_PATH && !path_type.data_type_id().is_integer()) | ||
{ | ||
return Err(ErrorCode::IllegalDataType(format!( | ||
"Invalid argument types for function '{}': ({:?}, {:?})", | ||
display_name.to_uppercase(), | ||
data_type.data_type_id(), | ||
path_type.data_type_id() | ||
))); | ||
} | ||
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let array_type: ArrayType = data_type.clone().try_into()?; | ||
Ok(Box::new(ArrayGetFunctionImpl::<BY_PATH> { | ||
array_type, | ||
display_name: display_name.to_string(), | ||
})) | ||
} | ||
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pub fn desc() -> FunctionDescription { | ||
FunctionDescription::creator(Box::new(Self::try_create)) | ||
.features(FunctionFeatures::default().deterministic().num_arguments(2)) | ||
} | ||
} | ||
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impl<const BY_PATH: bool> Function for ArrayGetFunctionImpl<BY_PATH> { | ||
fn name(&self) -> &str { | ||
&*self.display_name | ||
} | ||
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fn return_type(&self) -> DataTypeImpl { | ||
// TODO(b41sh): Support multi-dimensional array access | ||
NullableType::new_impl(self.array_type.inner_type().clone()) | ||
} | ||
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fn eval( | ||
&self, | ||
_func_ctx: FunctionContext, | ||
columns: &ColumnsWithField, | ||
input_rows: usize, | ||
) -> Result<ColumnRef> { | ||
let path_indexes = if BY_PATH { | ||
parse_path_indexes(columns[1].column())? | ||
} else { | ||
build_path_indexes(columns[1].column())? | ||
}; | ||
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let array_column: &ArrayColumn = if columns[0].column().is_const() { | ||
let const_column: &ConstColumn = Series::check_get(columns[0].column())?; | ||
Series::check_get(const_column.inner())? | ||
} else { | ||
Series::check_get(columns[0].column())? | ||
}; | ||
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let inner_type = self.array_type.inner_type().data_type_id(); | ||
with_match_scalar_types_error!(inner_type.to_physical_type(), |$T| { | ||
let inner_column: &<$T as Scalar>::ColumnType = Series::check_get(array_column.values())?; | ||
let mut builder = NullableColumnBuilder::<$T>::with_capacity(input_rows); | ||
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for path_index in path_indexes.iter() { | ||
// TODO(b41sh): Support multi-dimensional array access | ||
if path_index.is_empty() || path_index.len() > 1 { | ||
return Err(ErrorCode::BadArguments(format!( | ||
"Array column don't support accessed by index: {:?}", | ||
path_index | ||
))); | ||
} | ||
let index = path_index[0]; | ||
let mut offset = 0; | ||
for row in 0..array_column.len() { | ||
let len = array_column.size_at_index(row); | ||
if index >= len { | ||
return Err(ErrorCode::BadArguments(format!( | ||
"Index out of array column bounds: the len is {} but the index is {}", | ||
len, index | ||
))); | ||
} else { | ||
builder.append(inner_column.get_data(offset + index), true); | ||
} | ||
offset += len; | ||
} | ||
} | ||
Ok(builder.build(input_rows)) | ||
}) | ||
} | ||
} | ||
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impl<const BY_PATH: bool> fmt::Display for ArrayGetFunctionImpl<BY_PATH> { | ||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { | ||
write!(f, "{}", self.display_name.to_uppercase()) | ||
} | ||
} | ||
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fn parse_path_indexes(column: &ColumnRef) -> Result<Vec<Vec<usize>>> { | ||
let column: &StringColumn = if column.is_const() { | ||
let const_column: &ConstColumn = Series::check_get(column)?; | ||
Series::check_get(const_column.inner())? | ||
} else { | ||
Series::check_get(column)? | ||
}; | ||
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let dialect = &GenericDialect {}; | ||
let mut path_indexes: Vec<Vec<usize>> = vec![]; | ||
for v in column.iter() { | ||
if v.is_empty() { | ||
return Err(ErrorCode::SyntaxException( | ||
"Bad compound object's field path name: '' in GET_PATH", | ||
)); | ||
} | ||
let definition = std::str::from_utf8(v).unwrap(); | ||
let mut tokenizer = Tokenizer::new(dialect, definition); | ||
match tokenizer.tokenize() { | ||
Ok((tokens, position_map)) => { | ||
match Parser::new(tokens, position_map, dialect).parse_map_keys() { | ||
Ok(values) => { | ||
let mut path_index: Vec<usize> = Vec::with_capacity(values.len()); | ||
for value in values.iter() { | ||
if let Value::Number(val, _) = value { | ||
let data_value = DataValue::try_from_literal(val, None).unwrap(); | ||
match data_value.as_u64() { | ||
Ok(v) => path_index.push(v as usize), | ||
Err(_) => return Err(ErrorCode::IllegalDataType(format!( | ||
"Array column only support accessed by index, but got {}", | ||
val | ||
))), | ||
} | ||
} else { | ||
return Err(ErrorCode::IllegalDataType(format!( | ||
"Array column only support accessed by index, but got {}", | ||
value | ||
))); | ||
} | ||
} | ||
path_indexes.push(path_index); | ||
} | ||
Err(parse_error) => return Err(ErrorCode::from(parse_error)), | ||
} | ||
} | ||
Err(tokenize_error) => { | ||
return Err(ErrorCode::SyntaxException(format!( | ||
"Can not tokenize definition: {}, Error: {:?}", | ||
definition, tokenize_error | ||
))) | ||
} | ||
} | ||
} | ||
Ok(path_indexes) | ||
} | ||
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fn build_path_indexes(column: &ColumnRef) -> Result<Vec<Vec<usize>>> { | ||
if column.is_const() { | ||
let const_column: &ConstColumn = Series::check_get(column)?; | ||
return build_path_indexes(const_column.inner()); | ||
} | ||
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let mut path_indexes: Vec<Vec<usize>> = vec![]; | ||
for i in 0..column.len() { | ||
let val = column.get(i); | ||
match val.as_u64() { | ||
Ok(index) => path_indexes.push(vec![index as usize]), | ||
Err(_) => { | ||
return Err(ErrorCode::IllegalDataType(format!( | ||
"Array column only support accessed by index, but got {}", | ||
val | ||
))) | ||
} | ||
} | ||
} | ||
Ok(path_indexes) | ||
} |
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