# Description
Makes `run-external` error if arguments to `cmd.exe` internal commands
contain newlines or a percent sign. This is because the percent sign can
expand environment variables, potentially? allowing command injection.
Newlines I think will truncate the rest of the arguments and should
probably be disallowed to be safe.
# After Submitting
- If the user calls `cmd.exe` directly, then this bypasses our
handling/checking for internal `cmd` commands. Instead, we use the
handling from the Rust std lib which, in this case, does not do special
handling and is potentially unsafe. Then again, it could be the user's
specific intention to run `cmd` with whatever trusted input. The problem
is that since we use the std lib handling, it assumes the exe uses the C
runtime escaping rules and will perform some unwanted escaping. E.g., it
will add backslashes to the quotes in `cmd echo /c '""'`.
- If `cmd` is called indirectly via a `.bat` or `.cmd` file, then we use
the Rust std lib which has separate handling for bat files that should
be safe, but will reject some inputs.
- ~~I'm not sure how we handle `PATHEXT`, that can also cause a file
without an extension to be run as a bat file. If so, I don't know where
the handling, if any, is done for that.~~ It looks like we use the
`which` crate to do the lookup using `PATHEXT`. Then, we pass the exe
path from that to the Rust std lib `Command`, which should be safe
(except for the first `cmd.exe` note).
So, in the future we need to unify and/or fix these different
implementations, including our own special handling for internal `cmd`
commands that this PR tries to fix.
# Description
Fix a regression introduced by #12921, where tilde expansion was no
longer done on the external command name, breaking things like
```nushell
> ~/.cargo/bin/exa
```
This properly handles quoted strings, so they don't expand:
```nushell
> ^"~/.cargo/bin/exa"
Error: nu:🐚:external_command
× External command failed
╭─[entry #1:1:2]
1 │ ^"~/.cargo/bin/exa"
· ─────────┬────────
· ╰── Command `~/.cargo/bin/exa` not found
╰────
help: `~/.cargo/bin/exa` is neither a Nushell built-in or a known external command
```
This required a change to the parser, so the command name is also parsed
in the same way the arguments are - i.e. the quotes on the outside
remain in the expression. Hopefully that doesn't break anything else. 🤞Fixes#13000. Should include in patch release 0.94.1
cc @YizhePKU
# User-Facing Changes
- Tilde expansion now works again for external commands
- The `command` of `run-external` will now have its quotes removed like
the other arguments if it is a literal string
- The parser is changed to include quotes in the command expression of
`ExternalCall` if they were present
# Tests + Formatting
I would like to add a regression test for this, but it's complicated
because we need a well-known binary within the home directory, which
just isn't a thing. We could drop one there, but that's kind of a bad
behavior for a test to do. I also considered changing the home directory
for the test, but that's so platform-specific - potentially could get it
working on specific platforms though. Changing `HOME` env on Linux
definitely works as far as tilde expansion works.
- 🟢 `toolkit fmt`
- 🟢 `toolkit clippy`
- 🟢 `toolkit test`
- 🟢 `toolkit test stdlib`
# Description
This fixes a bug in the `OSC 9;9` functionality where the path wasn't
being constructed properly and therefore wasn't getting set right for
things like "Duplicate Tab" in Windows Terminal. Thanks to @Araxeus for
finding it.
Related to https://github.com/nushell/nushell/issues/10166
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
<!--
Don't forget to add tests that cover your changes.
Make sure you've run and fixed any issues with these commands:
- `cargo fmt --all -- --check` to check standard code formatting (`cargo
fmt --all` applies these changes)
- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used` to
check that you're using the standard code style
- `cargo test --workspace` to check that all tests pass (on Windows make
sure to [enable developer
mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging))
- `cargo run -- -c "use toolkit.nu; toolkit test stdlib"` to run the
tests for the standard library
> **Note**
> from `nushell` you can also use the `toolkit` as follows
> ```bash
> use toolkit.nu # or use an `env_change` hook to activate it
automatically
> toolkit check pr
> ```
-->
# After Submitting
<!-- If your PR had any user-facing changes, update [the
documentation](https://github.com/nushell/nushell.github.io) after the
PR is merged, if necessary. This will help us keep the docs up to date.
-->
This PR fixes the `path type` command so that it resolves relative paths
using PWD from the engine state.
As a bonus, it also fixes the issue of `path type` returning an empty
string instead of an error when it fails.
This PR fixes a bug where `.` is expanded into an empty string when used
as an argument to external commands. Fixes
https://github.com/nushell/nushell/issues/12948.
---------
Co-authored-by: Ian Manske <ian.manske@pm.me>
# Description
@maxim-uvarov did a ton of research and work with the dply-rs author and
ritchie from polars and found out that the allocator matters on macos
and it seems to be what was messing up the performance of polars plugin.
ritchie suggested to use jemalloc but i switched it to mimalloc to match
nushell and it seems to run better.
## Before (default allocator)
note - using 1..10 vs 1..100 since it takes so long. also notice how
high the `max` timings are compared to mimalloc below.
```nushell
❯ 1..10 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬─────────────────────────╮
│ mean │ 4sec 999ms 605µs 995ns │
│ min │ 983ms 627µs 42ns │
│ max │ 13sec 398ms 135µs 791ns │
│ stddev │ 3sec 476ms 479µs 939ns │
╰────────┴─────────────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 10
╭───────┬────────────────────────╮
│ mean │ 6sec 220ms 783µs 983ns │
│ min │ 1sec 184ms 997µs 708ns │
│ max │ 18sec 882ms 81µs 708ns │
│ std │ 5sec 350ms 375µs 697ns │
│ times │ [list 10 items] │
╰───────┴────────────────────────╯
```
## After (using mimalloc)
```nushell
❯ 1..100 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬───────────────────╮
│ mean │ 103ms 728µs 902ns │
│ min │ 97ms 107µs 42ns │
│ max │ 149ms 430µs 84ns │
│ stddev │ 5ms 690µs 664ns │
╰────────┴───────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬───────────────────╮
│ mean │ 103ms 620µs 195ns │
│ min │ 97ms 541µs 166ns │
│ max │ 130ms 262µs 166ns │
│ std │ 4ms 948µs 654ns │
│ times │ [list 100 items] │
╰───────┴───────────────────╯
```
## After (using jemalloc - just for comparison)
```nushell
❯ 1..100 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬───────────────────╮
│ mean │ 113ms 939µs 777ns │
│ min │ 108ms 337µs 333ns │
│ max │ 166ms 467µs 458ns │
│ stddev │ 6ms 175µs 618ns │
╰────────┴───────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬───────────────────╮
│ mean │ 114ms 363µs 530ns │
│ min │ 108ms 804µs 833ns │
│ max │ 143ms 521µs 459ns │
│ std │ 5ms 88µs 56ns │
│ times │ [list 100 items] │
╰───────┴───────────────────╯
```
## After (using parquet + mimalloc)
```nushell
❯ 1..100 | each {timeit {polars open data.parquet | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬──────────────────╮
│ mean │ 34ms 255µs 492ns │
│ min │ 31ms 787µs 250ns │
│ max │ 76ms 408µs 416ns │
│ stddev │ 4ms 472µs 916ns │
╰────────┴──────────────────╯
❯ use std bench
❯ bench { polars open data.parquet | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬──────────────────╮
│ mean │ 34ms 897µs 562ns │
│ min │ 31ms 518µs 542ns │
│ max │ 65ms 943µs 625ns │
│ std │ 3ms 450µs 741ns │
│ times │ [list 100 items] │
╰───────┴──────────────────╯
```
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
<!--
Don't forget to add tests that cover your changes.
Make sure you've run and fixed any issues with these commands:
- `cargo fmt --all -- --check` to check standard code formatting (`cargo
fmt --all` applies these changes)
- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used` to
check that you're using the standard code style
- `cargo test --workspace` to check that all tests pass (on Windows make
sure to [enable developer
mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging))
- `cargo run -- -c "use toolkit.nu; toolkit test stdlib"` to run the
tests for the standard library
> **Note**
> from `nushell` you can also use the `toolkit` as follows
> ```bash
> use toolkit.nu # or use an `env_change` hook to activate it
automatically
> toolkit check pr
> ```
-->
# After Submitting
<!-- If your PR had any user-facing changes, update [the
documentation](https://github.com/nushell/nushell.github.io) after the
PR is merged, if necessary. This will help us keep the docs up to date.
-->
# Description
Instead of returning an error, this PR changes `expand_glob` in
`run_external.rs` to return the original string arg if glob creation
failed. This makes it so that, e.g.,
```nushell
^echo `[`
^echo `***`
```
no longer fail with a shell error. (This follows from #12921.)
# Description
Currently, this pipeline doesn't work `open --raw file | take 100`,
since the type of the byte stream is `Unknown`, but `take` expects
`Binary` streams. This PR changes commands that expect
`ByteStreamType::Binary` to also work with `ByteStreamType::Unknown`.
This was done by adding two new methods to `ByteStreamType`:
`is_binary_coercible` and `is_string_coercible`. These return true if
the type is `Unknown` or matches the type in the method name.
# Description
Makes the `from json --objects` command produce a stream, and read
lazily from an input stream to produce its output.
Also added a helper, `PipelineData::get_type()`, to make it easier to
construct a wrong type error message when matching on `PipelineData`. I
expect checking `PipelineData` for either a string value or an `Unknown`
or `String` typed `ByteStream` will be very, very common. I would have
liked to have a helper that just returns a readable stream from either,
but that would either be a bespoke enum or a `Box<dyn BufRead>`, which
feels like it wouldn't be so great for performance. So instead, taking
the approach I did here is probably better - having a function that
accepts the `impl BufRead` and matching to use it.
# User-Facing Changes
- `from json --objects` no longer collects its input, and can be used
for large datasets or streams that produce values over time.
# Tests + Formatting
All passing.
# After Submitting
- [ ] release notes
---------
Co-authored-by: Ian Manske <ian.manske@pm.me>
