support array access elements

common/functions/src/scalars/semi_structureds/get.rs

@@ -15,6 +15,7 @@
 use std::fmt;
 
 use common_datavalues::prelude::*;
+use common_datavalues::with_match_scalar_types_error;
 use common_exception::ErrorCode;
 use common_exception::Result;
 use sqlparser::ast::Value;
@@ -35,6 +36,7 @@ pub type GetPathFunction = GetFunctionImpl<true, false>;
 
 #[derive(Clone)]
 pub struct GetFunctionImpl<const BY_PATH: bool, const IGNORE_CASE: bool> {
+    data_type: DataTypeImpl,
     display_name: String,
 }
 
@@ -49,7 +51,7 @@ impl<const BY_PATH: bool, const IGNORE_CASE: bool> GetFunctionImpl<BY_PATH, IGNO
             || (BY_PATH
                 && (!data_type.data_type_id().is_variant()
                     || !path_type.data_type_id().is_string()))
-            || (!data_type.data_type_id().is_variant()
+            || (!(data_type.data_type_id().is_variant() || data_type.data_type_id().is_array())
                 || (!path_type.data_type_id().is_string()
                     && !path_type.data_type_id().is_unsigned_integer()))
         {
@@ -62,6 +64,7 @@ impl<const BY_PATH: bool, const IGNORE_CASE: bool> GetFunctionImpl<BY_PATH, IGNO
         }
 
         Ok(Box::new(GetFunctionImpl::<BY_PATH, IGNORE_CASE> {
+            data_type: data_type.clone(),
             display_name: display_name.to_string(),
         }))
     }
@@ -80,7 +83,13 @@ impl<const BY_PATH: bool, const IGNORE_CASE: bool> Function
     }
 
     fn return_type(&self) -> DataTypeImpl {
-        NullableType::new_impl(VariantType::new_impl())
+        // TODO(b41sh): Support multi-dimensional array access
+        match &self.data_type {
+            DataTypeImpl::Array(array_type) => {
+                NullableType::new_impl(array_type.inner_type().clone())
+            }
+            _ => NullableType::new_impl(VariantType::new_impl()),
+        }
     }
 
     fn eval(
@@ -95,7 +104,12 @@ impl<const BY_PATH: bool, const IGNORE_CASE: bool> Function
             build_path_keys(columns[1].column())?
         };
 
-        extract_value_by_path(columns[0].column(), path_keys, input_rows, IGNORE_CASE)
+        match &self.data_type {
+            DataTypeImpl::Array(array_type) => {
+                extract_array_value(array_type, columns[0].column(), path_keys, input_rows)
+            }
+            _ => extract_value_by_path(columns[0].column(), path_keys, input_rows, IGNORE_CASE),
+        }
     }
 }
 
@@ -253,3 +267,50 @@ pub fn extract_value_by_path(
     }
     Ok(builder.build(input_rows))
 }
+
+fn extract_array_value(
+    array_type: &ArrayType,
+    column: &ColumnRef,
+    path_keys: Vec<Vec<DataValue>>,
+    input_rows: usize,
+) -> Result<ColumnRef> {
+    let column: &ArrayColumn = if column.is_const() {
+        let const_column: &ConstColumn = Series::check_get(column)?;
+        Series::check_get(const_column.inner())?
+    } else {
+        Series::check_get(column)?
+    };
+
+    let inner_type = array_type.inner_type().data_type_id();
+    with_match_scalar_types_error!(inner_type.to_physical_type(), |$T| {
+        let mut builder = NullableColumnBuilder::<$T>::with_capacity(input_rows);
+
+        for path_key in path_keys.iter() {
+            // TODO(b41sh): Support multi-dimensional array access
+            if path_key.is_empty() || path_key.len() > 1 {
+                for _ in 0..column.len() {
+                    builder.append_null();
+                }
+                continue;
+            }
+            let key = &path_key[0];
+            for v in column.iter() {
+                match key {
+                    DataValue::UInt64(k) => {
+                        if let ArrayValueRef::Indexed { column, idx } = v {
+                            let value = column.get(idx);
+                            if let DataValue::Array(vals) = value {
+                                match vals.get(*k as usize) {
+                                    Some(val) => builder.append(*val.into(), true),
+                                    None => builder.append_null(),
+                                }
+                            }
+                        }
+                    },
+                    _ => builder.append_null(),
+                }
+            }
+        }
+        Ok(builder.build(input_rows))
+    })
+}