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# Description
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Fixes https://github.com/nushell/nushell/issues/11716
The problem is in our [record creation
API](0d518bf813/crates/nu-protocol/src/value/record.rs (L33))
which panics if the numbers of columns and values are different. I added
a safe variant that returns a `Result` and used it in the `rotate`
command.
## TODO in another PR:
Go through all `from_raw_cols_vals_unchecked()` (this includes the
`record!` macro which uses the unchecked version) and make sure that
either
a) it is guaranteed the number of cols and vals is the same, or
b) convert the call to `from_raw_cols_vals()`
Reason: Nushell should never panic.
# User-Facing Changes
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# Tests + Formatting
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# Description
There are times where explicitly specifying a schema for a dataframe is
needed such as:
- Opening CSV and JSON lines files and needing provide more information
to polars to keep it from failing or in a desire to override default
type conversion
- When converting a nushell value to a dataframe and wanting to override
the default conversion behaviors.
This pull requests provides:
- A flag to allow specifying a schema when using dfr into-df
- A flag to allow specifying a schema when using dfr open that works for
CSV and JSON types
- A new command `dfr schema` which displays schema information and will
allow display support schema dtypes
Schema is specified creating a record that has the key value and the
dtype. Examples usages:
```
{a:1, b:{a:2}} | dfr into-df -s {a: u8, b: {a: i32}} | dfr schema
{a: 1, b: {a: [1 2 3]}, c: [a b c]} | dfr into-df -s {a: u8, b: {a: list<u64>}, c: list<str>} | dfr schema
dfr open -s {pid: i32, ppid: i32, name: str, status: str, cpu: f64, mem: i64, virtual: i64} /tmp/ps.jsonl | dfr schema
```
Supported dtypes:
null
bool
u8
u16
u32
u64
i8
i16
i32
i64
f32
f64
str
binary
date
datetime[time_unit: (ms, us, ns) timezone (optional)]
duration[time_unit: (ms, us, ns)]
time
object
unknown
list[dtype]
structs are also supported but are specified via another record:
{a: u8, b: {d: str}}
Another feature with the dfr schema command is that it returns the data
back in a format that can be passed to provide a valid schema that can
be passed in as schema argument:
<img width="638" alt="Screenshot 2024-01-29 at 10 23 58"
src="https://github.com/nushell/nushell/assets/56345/b49c3bff-5cda-4c86-975a-dfd91d991373">
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
# Description
* release notes
https://github.com/pola-rs/polars/releases/tag/rs-0.36.2
* dependencies
remove `sysinfo` 0.29.11
add `polars-compute` 0.36.2
# User-Facing Changes
[Change value_counts resulting column name from counts to
count](https://github.com/pola-rs/polars/pull/12506)
# Tests + Formatting
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# Description
Constructing the internals of `Record` without checking the lengths is
bad. (also incompatible with changes to how we store records)
- Use `Record::from_raw_cols_vals` in dataframe code
- Use `record!` macro in dataframe test
- Use `record!` in `nu-color-config` tests
- Stop direct record construction in `nu-command`
- Refactor table construction in `from nuon`
# User-Facing Changes
None
# Tests + Formatting
No new tests, updated tests in equal fashion
# Description
Replace `.to_string()` used in `GenericError` with `.into()` as
`.into()` seems more popular
Replace `Vec::new()` used in `GenericError` with `vec![]` as `vec![]`
seems more popular
(There are so, so many)
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# Description
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Clippy fixes for rust 1.76.0-nightly
# User-Facing Changes
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helps us keep track of breaking changes. -->
N/A
# Tests + Formatting
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sure to [enable developer
mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging))
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crates/nu-std"` to run the tests for the standard library
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# Description
As part of the refactor to split spans off of Value, this moves to using
helper functions to create values, and using `.span()` instead of
matching span out of Value directly.
Hoping to get a few more helping hands to finish this, as there are a
lot of commands to update :)
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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check that you're using the standard code style
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sure to [enable developer
mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging))
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crates/nu-std"` to run the tests for the standard library
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# After Submitting
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---------
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: WindSoilder <windsoilder@outlook.com>
Polars and SQLParser upgrade.
I have exposed features that have been added to polars as command args
where appropriate.
---------
Co-authored-by: Jack Wright <jack.wright@disqo.com>
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: sholderbach <sholderbach@users.noreply.github.com>
# Description
This doesn't really do much that the user could see, but it helps get us
ready to do the steps of the refactor to split the span off of Value, so
that values can be spanless. This allows us to have top-level values
that can hold both a Value and a Span, without requiring that all values
have them.
We expect to see significant memory reduction by removing so many
unnecessary spans from values. For example, a table of 100,000 rows and
5 columns would have a savings of ~8megs in just spans that are almost
always duplicated.
# User-Facing Changes
Nothing yet
# Tests + Formatting
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# Description
This PR creates a new `Record` type to reduce duplicate code and
possibly bugs as well. (This is an edited version of #9648.)
- `Record` implements `FromIterator` and `IntoIterator` and so can be
iterated over or collected into. For example, this helps with
conversions to and from (hash)maps. (Also, no more
`cols.iter().zip(vals)`!)
- `Record` has a `push(col, val)` function to help insure that the
number of columns is equal to the number of values. I caught a few
potential bugs thanks to this (e.g. in the `ls` command).
- Finally, this PR also adds a `record!` macro that helps simplify
record creation. It is used like so:
```rust
record! {
"key1" => some_value,
"key2" => Value::string("text", span),
"key3" => Value::int(optional_int.unwrap_or(0), span),
"key4" => Value::bool(config.setting, span),
}
```
Since macros hinder formatting, etc., the right hand side values should
be relatively short and sweet like the examples above.
Where possible, prefer `record!` or `.collect()` on an iterator instead
of multiple `Record::push`s, since the first two automatically set the
record capacity and do less work overall.
# User-Facing Changes
Besides the changes in `nu-protocol` the only other breaking changes are
to `nu-table::{ExpandedTable::build_map, JustTable::kv_table}`.
All of the dataframe commands ported over with no issues...
### 11 tests are commented out (for now)
So 100 of the original 111 tests are passing with only 11 tests being
ignored for now..
As per our conversation in the core team meeting on Wednesday
I took @jntrnr suggestion and just commented out the tests dealing
with
[IntoDatetime](https://github.com/nushell/nushell/blob/main/crates/nu-command/src/conversions/into/mod.rs)
Later on we can move this functionality out of nu-command if we decide
it makes sense...
### The following tests were ignored...
```rust
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_day.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_hour.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_minute.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_month.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_nanosecond.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_ordinal.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_second.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_week.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_weekday.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/date/get_year.rs
modified: crates/nu-cmd-dataframe/src/dataframe/series/string/strftime.rs
```
