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Support for extract(x from time) / date_part from time types #8693

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merged 3 commits into from
Mar 21, 2024

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Jefffrey
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Which issue does this PR close?

Closes #8692

Rationale for this change

What changes are included in this PR?

Extend support for extract and date_part to Time32 and Time64 types, for relevant precisions (hours, minutes, seconds, etc.)

Are these changes tested?

Are there any user-facing changes?

@github-actions github-actions bot added logical-expr Logical plan and expressions physical-expr Physical Expressions core Core DataFusion crate labels Dec 31, 2023
@Jefffrey
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Depends on apache/arrow-rs#5262

Will keep this in draft until arrow-rs support is merged and available to Datafusion

(Also need to update docs)

@alamb
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alamb commented Dec 31, 2023

Release of arrow is tracked by apache/arrow-rs#5234

@Jefffrey
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Pending apache/arrow-rs#5337 which will come as part of arrow-rs v51.0.0 (next release)

@Jefffrey Jefffrey marked this pull request as ready for review March 19, 2024 21:20
@github-actions github-actions bot added sqllogictest SQL Logic Tests (.slt) and removed logical-expr Logical plan and expressions physical-expr Physical Expressions core Core DataFusion crate labels Mar 19, 2024
Comment on lines -155 to -157
///
/// # Panics
/// If `array` is not a temporal type such as Timestamp or Date32
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Realized my previous comment #9613 (comment) was incorrect about panics since it'll just return an error, so correcting here

query R
SELECT date_part('microsecond', arrow_cast('23:32:50.123456789'::time, 'Time64(Nanosecond)'))
----
50123456.789000005
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Just floating point stuff

Not sure if want to look into it further or not

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I think this is fine

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@alamb alamb left a comment

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Thank you @Jefffrey -- this looks great to me. Thank you for sticking with this.

@@ -189,6 +194,16 @@ fn epoch(array: &dyn Array) -> Result<ArrayRef> {
}
Date32 => as_date32_array(array)?.unary(|x| x as f64 * SECONDS_IN_A_DAY),
Date64 => as_date64_array(array)?.unary(|x| x as f64 / 1_000_f64),
Time32(Second) => as_time32_second_array(array)?.unary(|x| x as f64),
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👨‍🍳 👌 -- very nice

@@ -939,6 +939,153 @@ SELECT date_part('nanosecond', '2020-09-08T12:00:12.12345678+00:00')
----
12123456780

# test_date_part_time
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Is it also worth testing the EXTRACT (...) syntax too ?

like EXTRACT( hour from arrow_cast('23:32:50'::time, 'Time32(Second)')))?

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Good point, added 👍

query R
SELECT date_part('microsecond', arrow_cast('23:32:50.123456789'::time, 'Time64(Nanosecond)'))
----
50123456.789000005
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I think this is fine

@alamb alamb changed the title Initial support for extract(x from time) Support for extract(x from time) / date_part from time types Mar 20, 2024
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Thanks again @Jefffrey

@alamb alamb merged commit dc373a3 into apache:main Mar 21, 2024
24 checks passed
@Jefffrey Jefffrey deleted the extract_from_time branch March 21, 2024 20:15
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Support extract(x from time) for Time32 and Time64 types
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