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// Licensed to the Apache Software Foundation (ASF) under one | ||
// or more contributor license agreements. See the NOTICE file | ||
// distributed with this work for additional information | ||
// regarding copyright ownership. The ASF licenses this file | ||
// to you 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 arrow_schema::ArrowError; | ||
use datafusion_common::DataFusionError; | ||
use std::error::Error; | ||
use std::fmt::{Display, Formatter}; | ||
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#[derive(Debug)] | ||
pub enum SparkError { | ||
ArithmeticOverflow { | ||
from_type: String, | ||
}, | ||
CastInvalidValue { | ||
value: String, | ||
from_type: String, | ||
to_type: String, | ||
}, | ||
CastOverFlow { | ||
value: String, | ||
from_type: String, | ||
to_type: String, | ||
}, | ||
NumericValueOutOfRange { | ||
value: String, | ||
precision: u8, | ||
scale: i8, | ||
}, | ||
Arrow(ArrowError), | ||
Internal(String), | ||
} | ||
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pub type SparkResult<T> = Result<T, SparkError>; | ||
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impl From<ArrowError> for SparkError { | ||
fn from(value: ArrowError) -> Self { | ||
SparkError::Arrow(value) | ||
} | ||
} | ||
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impl From<SparkError> for DataFusionError { | ||
fn from(value: SparkError) -> Self { | ||
DataFusionError::External(Box::new(value)) | ||
} | ||
} | ||
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impl Error for SparkError {} | ||
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impl Display for SparkError { | ||
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result { | ||
match self { | ||
Self::ArithmeticOverflow { from_type } => | ||
write!(f, "[ARITHMETIC_OVERFLOW] {from_type} overflow. If necessary set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error."), | ||
Self::CastOverFlow { value, from_type, to_type } => write!(f, "[CAST_OVERFLOW] The value {value} of the type \"{from_type}\" cannot be cast to \"{to_type}\" \ | ||
due to an overflow. Use `try_cast` to tolerate overflow and return NULL instead. If necessary \ | ||
set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error."), | ||
Self::CastInvalidValue { value, from_type, to_type } => write!(f, "[CAST_INVALID_INPUT] The value '{value}' of the type \"{from_type}\" cannot be cast to \"{to_type}\" \ | ||
because it is malformed. Correct the value as per the syntax, or change its target type. \ | ||
Use `try_cast` to tolerate malformed input and return NULL instead. If necessary \ | ||
set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error."), | ||
Self::NumericValueOutOfRange { value, precision, scale } => write!(f, "[NUMERIC_VALUE_OUT_OF_RANGE] {value} cannot be represented as Decimal({precision}, {scale}). If necessary set \"spark.sql.ansi.enabled\" to \"false\" to bypass this error, and return NULL instead."), | ||
Self::Arrow(e) => write!(f, "ArrowError: {e}"), | ||
Self::Internal(e) => write!(f, "{e}"), | ||
} | ||
} | ||
} |
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