1#![doc(
19 html_logo_url = "https://raw.githubusercontent.com/apache/datafusion/19fe44cf2f30cbdd63d4a4f52c74055163c6cc38/docs/logos/standalone_logo/logo_original.svg",
20 html_favicon_url = "https://raw.githubusercontent.com/apache/datafusion/19fe44cf2f30cbdd63d4a4f52c74055163c6cc38/docs/logos/standalone_logo/logo_original.svg"
21)]
22#![cfg_attr(docsrs, feature(doc_cfg))]
23#![deny(clippy::clone_on_ref_ptr)]
26#![cfg_attr(test, allow(clippy::needless_pass_by_value))]
27
28mod column;
29mod dfschema;
30mod functional_dependencies;
31mod join_type;
32mod param_value;
33mod schema_reference;
34mod table_reference;
35mod unnest;
36
37pub mod alias;
38pub mod cast;
39pub mod config;
40pub mod cse;
41pub mod datatype;
42pub mod diagnostic;
43pub mod display;
44pub mod encryption;
45pub mod error;
46pub mod extensions;
47pub mod file_options;
48pub mod format;
49pub mod hash_utils;
50pub mod heap_size;
51pub mod instant;
52pub mod metadata;
53pub mod nested_struct;
54mod null_equality;
55pub mod parquet_config;
56pub mod parsers;
57pub mod pruning;
58pub mod rounding;
59pub mod scalar;
60pub mod spans;
61pub mod stats;
62pub mod test_util;
63pub mod tree_node;
64pub mod types;
65pub mod utils;
66
67pub use arrow;
69pub use column::Column;
70pub use dfschema::{
71 DFSchema, DFSchemaRef, ExprSchema, SchemaExt, ToDFSchema, qualified_name,
72};
73pub use diagnostic::Diagnostic;
74pub use display::human_readable::{
75 human_readable_count, human_readable_duration, human_readable_size, units,
76};
77pub use error::{
78 DataFusionError, Result, SchemaError, SharedResult, field_not_found,
79 unqualified_field_not_found,
80};
81pub use file_options::file_type::{
82 DEFAULT_ARROW_EXTENSION, DEFAULT_AVRO_EXTENSION, DEFAULT_CSV_EXTENSION,
83 DEFAULT_JSON_EXTENSION, DEFAULT_PARQUET_EXTENSION, GetExt,
84};
85pub use functional_dependencies::{
86 Constraint, Constraints, Dependency, FunctionalDependence, FunctionalDependencies,
87 aggregate_functional_dependencies, get_required_group_by_exprs_indices,
88 get_required_sort_exprs_indices, get_target_functional_dependencies,
89};
90use hashbrown::DefaultHashBuilder;
91pub use join_type::{JoinConstraint, JoinSide, JoinType};
92pub use nested_struct::cast_column;
93pub use null_equality::NullEquality;
94pub use param_value::ParamValues;
95pub use scalar::{ScalarType, ScalarValue};
96pub use schema_reference::SchemaReference;
97pub use spans::{Location, Span, Spans};
98pub use stats::{ColumnStatistics, Statistics};
99pub use table_reference::{ResolvedTableReference, TableReference};
100pub use unnest::{RecursionUnnestOption, UnnestOptions};
101pub use utils::project_schema;
102
103#[doc(hidden)]
109pub use error::{
110 _config_datafusion_err, _exec_datafusion_err, _ffi_datafusion_err,
111 _internal_datafusion_err, _not_impl_datafusion_err, _plan_datafusion_err,
112 _resources_datafusion_err, _substrait_datafusion_err,
113};
114
115pub type HashMap<K, V, S = DefaultHashBuilder> = hashbrown::HashMap<K, V, S>;
117pub type HashSet<T, S = DefaultHashBuilder> = hashbrown::HashSet<T, S>;
118pub mod hash_map {
119 pub use hashbrown::hash_map::Entry;
120 pub use hashbrown::hash_map::EntryRef;
121}
122pub mod hash_set {
123 pub use hashbrown::hash_set::Entry;
124}
125
126#[macro_export]
131macro_rules! downcast_value {
132 ($Value: expr, $Type: ident) => {{
133 use $crate::__private::DowncastArrayHelper;
134 $Value.downcast_array_helper::<$Type>()?
135 }};
136 ($Value: expr, $Type: ident, $T: tt) => {{
137 use $crate::__private::DowncastArrayHelper;
138 $Value.downcast_array_helper::<$Type<$T>>()?
139 }};
140}
141
142#[doc(hidden)]
144pub mod __private {
145 use crate::Result;
146 use crate::error::_internal_datafusion_err;
147 use arrow::array::Array;
148 use std::any::{Any, type_name};
149
150 #[doc(hidden)]
151 pub trait DowncastArrayHelper {
152 fn downcast_array_helper<U: Any>(&self) -> Result<&U>;
153 }
154
155 impl<T: Array + ?Sized> DowncastArrayHelper for T {
156 fn downcast_array_helper<U: Any>(&self) -> Result<&U> {
157 self.as_any().downcast_ref().ok_or_else(|| {
158 let actual_type = self.data_type();
159 let desired_type_name = type_name::<U>();
160 _internal_datafusion_err!(
161 "could not cast array of type {} to {}",
162 actual_type,
163 desired_type_name
164 )
165 })
166 }
167 }
168}
169
170#[cfg(test)]
171mod tests {
172 use arrow::array::{ArrayRef, Int32Array, UInt64Array};
173 use std::any::{type_name, type_name_of_val};
174 use std::sync::Arc;
175
176 #[test]
177 fn test_downcast_value() -> crate::Result<()> {
178 let boxed: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3]));
179 let array = downcast_value!(&boxed, Int32Array);
180 assert_eq!(type_name_of_val(&array), type_name::<&Int32Array>());
181
182 let expected: Int32Array = vec![1, 2, 3].into_iter().map(Some).collect();
183 assert_eq!(array, &expected);
184 Ok(())
185 }
186
187 #[test]
188 fn test_downcast_value_err_message() {
189 let boxed: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3]));
190 let error: crate::DataFusionError = (|| {
191 downcast_value!(&boxed, UInt64Array);
192 Ok(())
193 })()
194 .err()
195 .unwrap();
196
197 assert_starts_with(
198 error.to_string(),
199 "Internal error: could not cast array of type Int32 to arrow_array::array::primitive_array::PrimitiveArray<arrow_array::types::UInt64Type>",
200 );
201 }
202
203 fn assert_starts_with(actual: impl AsRef<str>, expected_prefix: impl AsRef<str>) {
206 let actual = actual.as_ref();
207 let expected_prefix = expected_prefix.as_ref();
208 assert!(
209 actual.starts_with(expected_prefix),
210 "Expected '{actual}' to start with '{expected_prefix}'"
211 );
212 }
213}