Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Docs: Improve the documentation on ScalarValue #8378

Merged
merged 3 commits into from
Dec 2, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
47 changes: 45 additions & 2 deletions datafusion/common/src/scalar.rs
Original file line number Diff line number Diff line change
Expand Up @@ -50,9 +50,52 @@ use arrow::{
use arrow_array::cast::as_list_array;
use arrow_array::{ArrowNativeTypeOp, Scalar};

/// Represents a dynamically typed, nullable single value.
/// This is the single-valued counter-part to arrow's [`Array`].
/// A dynamically typed, nullable single value, (the single-valued counter-part
Dandandan marked this conversation as resolved.
Show resolved Hide resolved
/// to arrow's [`Array`])
///
/// # Performance
///
/// In general, please use arrow [`Array`]s rather than [`ScalarValue`] whenever
/// possible, as it is far more efficient for multiple values.
///
/// # Example
/// ```
/// # use datafusion_common::ScalarValue;
/// // Create single scalar value for an Int32 value
/// let s1 = ScalarValue::Int32(Some(10));
///
/// // You can also create values using the From impl:
/// let s2 = ScalarValue::from(10i32);
/// assert_eq!(s1, s2);
/// ```
///
/// # Null Handling
///
/// `ScalarValue` represents null values in the same way as Arrow. Nulls are
Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

FYI @jayzhan211 -- perhaps this can help explain some of how we can avoid using NullArray / ScalarValue::Null in the various list array functions

/// "typed" in the sense that a null value in an [`Int32Array`] is different
/// than a null value in a [`Float64Array`], and is different than the values in
/// a [`NullArray`].
///
/// ```
/// # fn main() -> datafusion_common::Result<()> {
/// # use std::collections::hash_set::Difference;
/// # use datafusion_common::ScalarValue;
/// # use arrow::datatypes::DataType;
/// // You can create a 'null' Int32 value directly:
/// let s1 = ScalarValue::Int32(None);
///
/// // You can also create a null value for a given datatype:
/// let s2 = ScalarValue::try_from(&DataType::Int32)?;
/// assert_eq!(s1, s2);
///
/// // Note that this is DIFFERENT than a `ScalarValue::Null`
/// let s3 = ScalarValue::Null;
/// assert_ne!(s1, s3);
/// # Ok(())
/// # }
/// ```
///
/// # Further Reading
/// See [datatypes](https://arrow.apache.org/docs/python/api/datatypes.html) for
/// details on datatypes and the [format](https://github.com/apache/arrow/blob/master/format/Schema.fbs#L354-L375)
/// for the definitive reference.
Expand Down