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use datafusion_common::{DataFusionError, Result};
use std::{fmt, str::FromStr};
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash)]
pub enum AggregateFunction {
Count,
Sum,
Min,
Max,
Avg,
ApproxDistinct,
ArrayAgg,
Variance,
VariancePop,
Stddev,
StddevPop,
Covariance,
CovariancePop,
Correlation,
ApproxPercentileCont,
ApproxMedian,
}
impl fmt::Display for AggregateFunction {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
write!(f, "{}", format!("{:?}", self).to_uppercase())
}
}
impl FromStr for AggregateFunction {
type Err = DataFusionError;
fn from_str(name: &str) -> Result<AggregateFunction> {
Ok(match name {
"min" => AggregateFunction::Min,
"max" => AggregateFunction::Max,
"count" => AggregateFunction::Count,
"avg" => AggregateFunction::Avg,
"sum" => AggregateFunction::Sum,
"approx_distinct" => AggregateFunction::ApproxDistinct,
"array_agg" => AggregateFunction::ArrayAgg,
"var" => AggregateFunction::Variance,
"var_samp" => AggregateFunction::Variance,
"var_pop" => AggregateFunction::VariancePop,
"stddev" => AggregateFunction::Stddev,
"stddev_samp" => AggregateFunction::Stddev,
"stddev_pop" => AggregateFunction::StddevPop,
"covar" => AggregateFunction::Covariance,
"covar_samp" => AggregateFunction::Covariance,
"covar_pop" => AggregateFunction::CovariancePop,
"corr" => AggregateFunction::Correlation,
"approx_percentile_cont" => AggregateFunction::ApproxPercentileCont,
"approx_median" => AggregateFunction::ApproxMedian,
_ => {
return Err(DataFusionError::Plan(format!(
"There is no built-in function named {}",
name
)));
}
})
}
}