Added postgres acosd

src/postgres/math_udfs.rs

@@ -5,6 +5,34 @@ use datafusion::arrow::datatypes::DataType;
 use datafusion::common::DataFusionError;
 use datafusion::error::Result;
 
+/// Inverse cosine, result in radians.
+pub fn acosd(args: &[ArrayRef]) -> Result<ArrayRef> {
+    let values = datafusion::common::cast::as_float64_array(&args[0])?;
+    let mut float64array_builder = Float64Array::builder(args[0].len());
+
+    values.iter().try_for_each(|value| {
+        if let Some(value) = value {
+            if value > 1.0 {
+                return Err(DataFusionError::Internal(
+                    "input is out of range".to_string(),
+                ));
+            }
+            let result = value.acos().to_degrees();
+            if result.fract() < 0.9 {
+                float64array_builder.append_value(result);
+            } else {
+                float64array_builder.append_value(result.ceil());
+            }
+            Ok::<(), DataFusionError>(())
+        } else {
+            float64array_builder.append_null();
+            Ok::<(), DataFusionError>(())
+        }
+    })?;
+
+    Ok(Arc::new(float64array_builder.finish()) as ArrayRef)
+}
+
 /// Nearest integer greater than or equal to argument (same as ceil).
 pub fn ceiling(args: &[ArrayRef]) -> Result<ArrayRef> {
     let values = datafusion::common::cast::as_float64_array(&args[0])?;
@@ -149,6 +177,63 @@ mod tests {
 
     use super::*;
 
+    #[tokio::test]
+    async fn test_acosd() -> Result<()> {
+        let ctx = register_udfs_for_test()?;
+        let df = ctx.sql("select acosd(0.5) as col_result").await?;
+
+        let batches = df.clone().collect().await?;
+
+        let expected: Vec<&str> = r#"
++------------+
+| col_result |
++------------+
+| 60.0       |
++------------+"#
+            .split('\n')
+            .filter_map(|input| {
+                if input.is_empty() {
+                    None
+                } else {
+                    Some(input.trim())
+                }
+            })
+            .collect();
+        assert_batches_sorted_eq!(expected, &batches);
+
+        let df = ctx.sql("select acosd(0.4) as col_result").await?;
+
+        let batches = df.clone().collect().await?;
+
+        let expected: Vec<&str> = r#"
++-------------------+
+| col_result        |
++-------------------+
+| 66.42182152179817 |
++-------------------+"#
+            .split('\n')
+            .filter_map(|input| {
+                if input.is_empty() {
+                    None
+                } else {
+                    Some(input.trim())
+                }
+            })
+            .collect();
+        assert_batches_sorted_eq!(expected, &batches);
+
+        let df = ctx.sql("select acosd(1.4) as col_result").await?;
+
+        let result = df.clone().collect().await;
+        assert!(result
+            .err()
+            .unwrap()
+            .to_string()
+            .contains("input is out of range"));
+
+        Ok(())
+    }
+
     #[tokio::test]
     async fn test_ceiling() -> Result<()> {
         let ctx = register_udfs_for_test()?;
@@ -232,6 +317,7 @@ mod tests {
     #[tokio::test]
     async fn test_erfc() -> Result<()> {
         let ctx = register_udfs_for_test()?;
+
         let df = ctx.sql("select index, erfc(uint) as uint, erfc(int) as int, erfc(float) as float from maths_table ORDER BY index ASC").await?;
 
         let batches = df.clone().collect().await?;

src/postgres/mod.rs

@@ -2,7 +2,7 @@
 
 use std::sync::Arc;
 
-use crate::postgres::math_udfs::{ceiling, div, erf, erfc};
+use crate::postgres::math_udfs::{acosd, ceiling, div, erf, erfc};
 use crate::postgres::network_udfs::{
     broadcast, family, host, hostmask, inet_merge, inet_same_family, masklen, netmask, network,
     set_masklen,
@@ -23,13 +23,27 @@ pub fn register_postgres_udfs(ctx: &SessionContext) -> Result<()> {
 }
 
 fn register_math_udfs(ctx: &SessionContext) -> Result<()> {
+    register_acosd(ctx);
     register_ceiling(ctx);
     register_erf(ctx);
     register_erfc(ctx);
     register_div(ctx);
     Ok(())
 }
 
+fn register_acosd(ctx: &SessionContext) {
+    let acosd_udf = make_scalar_function(acosd);
+    let return_type: ReturnTypeFunction = Arc::new(move |_| Ok(Arc::new(Float64)));
+    let acosd_udf = ScalarUDF::new(
+        "acosd",
+        &Signature::uniform(1, vec![Float64], Volatility::Immutable),
+        &return_type,
+        &acosd_udf,
+    );
+
+    ctx.register_udf(acosd_udf);
+}
+
 fn register_ceiling(ctx: &SessionContext) {
     let ceiling_udf = make_scalar_function(ceiling);
     let return_type: ReturnTypeFunction = Arc::new(move |_| Ok(Arc::new(Float64)));