Support Arrow IPC file format with dataframes (#6548)

* Add support for Arrow IPC file format

Add support for Arrow IPC file format to dataframes commands. Support
opening of Arrow IPC-format files with extension '.arrow' or '.ipc' in
the open-df command. Add a 'to arrow' command to write a dataframe to
Arrow IPC format.

* Add unit test for open-df on Arrow

* Add -t flag to open-df command

Add a `--type`/`-t` flag to the `open-df` command, to explicitly specify
the type of file being used. Allowed values are the same at the set of
allowed file extensions.

Cargo.lock

@@ -167,12 +167,14 @@ dependencies = [
  "indexmap",
  "json-deserializer",
  "lexical-core",
+ "lz4",
  "multiversion",
  "num-traits",
  "parquet2",
  "simdutf8",
  "streaming-iterator",
  "strength_reduce",
+ "zstd",
 ]
 
 [[package]]

crates/nu-command/Cargo.toml

@@ -115,6 +115,7 @@ features = [
 	"dtype-struct",
 	"dtype-categorical",
 	"dynamic_groupby",
+	"ipc",
 	"is_in",
 	"json",
 	"lazy",

crates/nu-command/src/dataframe/eager/mod.rs

@@ -18,6 +18,7 @@ mod sample;
 mod shape;
 mod slice;
 mod take;
+mod to_arrow;
 mod to_csv;
 mod to_df;
 mod to_nu;
@@ -46,6 +47,7 @@ pub use sample::SampleDF;
 pub use shape::ShapeDF;
 pub use slice::SliceDF;
 pub use take::TakeDF;
+pub use to_arrow::ToArrow;
 pub use to_csv::ToCSV;
 pub use to_df::ToDataFrame;
 pub use to_nu::ToNu;
@@ -84,6 +86,7 @@ pub fn add_eager_decls(working_set: &mut StateWorkingSet) {
         ShapeDF,
         SliceDF,
         TakeDF,
+        ToArrow,
         ToCSV,
         ToDataFrame,
         ToNu,

crates/nu-command/src/dataframe/eager/open.rs

@@ -9,8 +9,8 @@ use nu_protocol::{
 use std::{fs::File, io::BufReader, path::PathBuf};
 
 use polars::prelude::{
-    CsvEncoding, CsvReader, JsonReader, LazyCsvReader, LazyFrame, ParallelStrategy, ParquetReader,
-    ScanArgsParquet, SerReader,
+    CsvEncoding, CsvReader, IpcReader, JsonReader, LazyCsvReader, LazyFrame, ParallelStrategy,
+    ParquetReader, ScanArgsIpc, ScanArgsParquet, SerReader,
 };
 
 #[derive(Clone)]
@@ -22,7 +22,7 @@ impl Command for OpenDataFrame {
     }
 
     fn usage(&self) -> &str {
-        "Opens csv, json or parquet file to create dataframe"
+        "Opens csv, json, arrow, or parquet file to create dataframe"
     }
 
     fn signature(&self) -> Signature {
@@ -33,6 +33,12 @@ impl Command for OpenDataFrame {
                 "file path to load values from",
             )
             .switch("lazy", "creates a lazy dataframe", Some('l'))
+            .named(
+                "type",
+                SyntaxShape::String,
+                "File type: csv, tsv, json, parquet, arrow. If omitted, derive from file extension",
+                Some('t'),
+            )
             .named(
                 "delimiter",
                 SyntaxShape::String,
@@ -93,15 +99,33 @@ fn command(
 ) -> Result<PipelineData, ShellError> {
     let file: Spanned<PathBuf> = call.req(engine_state, stack, 0)?;
 
-    match file.item.extension() {
-        Some(e) => match e.to_str() {
-            Some("csv") | Some("tsv") => from_csv(engine_state, stack, call),
-            Some("parquet") => from_parquet(engine_state, stack, call),
-            Some("json") => from_json(engine_state, stack, call),
-            _ => Err(ShellError::FileNotFoundCustom(
-                "Not a csv, tsv, parquet or json file".into(),
+    let type_option: Option<Spanned<String>> = call.get_flag(engine_state, stack, "type")?;
+
+    let type_id = match &type_option {
+        Some(ref t) => Some((t.item.to_owned(), "Invalid type", t.span)),
+        None => match file.item.extension() {
+            Some(e) => Some((
+                e.to_string_lossy().into_owned(),
+                "Invalid extension",
                 file.span,
             )),
+            None => None,
+        },
+    };
+
+    match type_id {
+        Some((e, msg, blamed)) => match e.as_str() {
+            "csv" | "tsv" => from_csv(engine_state, stack, call),
+            "parquet" => from_parquet(engine_state, stack, call),
+            "ipc" | "arrow" => from_ipc(engine_state, stack, call),
+            "json" => from_json(engine_state, stack, call),
+            _ => Err(ShellError::FileNotFoundCustom(
+                format!(
+                    "{}. Supported values: csv, tsv, parquet, ipc, arrow, json",
+                    msg
+                ),
+                blamed,
+            )),
         },
         None => Err(ShellError::FileNotFoundCustom(
             "File without extension".into(),
@@ -177,6 +201,70 @@ fn from_parquet(
     }
 }
 
+fn from_ipc(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+) -> Result<Value, ShellError> {
+    if call.has_flag("lazy") {
+        let file: String = call.req(engine_state, stack, 0)?;
+        let args = ScanArgsIpc {
+            n_rows: None,
+            cache: true,
+            rechunk: false,
+            row_count: None,
+        };
+
+        let df: NuLazyFrame = LazyFrame::scan_ipc(file, args)
+            .map_err(|e| {
+                ShellError::GenericError(
+                    "IPC reader error".into(),
+                    format!("{:?}", e),
+                    Some(call.head),
+                    None,
+                    Vec::new(),
+                )
+            })?
+            .into();
+
+        df.into_value(call.head)
+    } else {
+        let file: Spanned<PathBuf> = call.req(engine_state, stack, 0)?;
+        let columns: Option<Vec<String>> = call.get_flag(engine_state, stack, "columns")?;
+
+        let r = File::open(&file.item).map_err(|e| {
+            ShellError::GenericError(
+                "Error opening file".into(),
+                e.to_string(),
+                Some(file.span),
+                None,
+                Vec::new(),
+            )
+        })?;
+        let reader = IpcReader::new(r);
+
+        let reader = match columns {
+            None => reader,
+            Some(columns) => reader.with_columns(Some(columns)),
+        };
+
+        let df: NuDataFrame = reader
+            .finish()
+            .map_err(|e| {
+                ShellError::GenericError(
+                    "IPC reader error".into(),
+                    format!("{:?}", e),
+                    Some(call.head),
+                    None,
+                    Vec::new(),
+                )
+            })?
+            .into();
+
+        Ok(df.into_value(call.head))
+    }
+}
+
 fn from_json(
     engine_state: &EngineState,
     stack: &mut Stack,

crates/nu-command/src/dataframe/eager/to_arrow.rs

@@ -0,0 +1,94 @@
+use std::{fs::File, path::PathBuf};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Spanned, SyntaxShape, Type, Value,
+};
+use polars::prelude::{IpcWriter, SerWriter};
+
+use super::super::values::NuDataFrame;
+
+#[derive(Clone)]
+pub struct ToArrow;
+
+impl Command for ToArrow {
+    fn name(&self) -> &str {
+        "to arrow"
+    }
+
+    fn usage(&self) -> &str {
+        "Saves dataframe to arrow file"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("file", SyntaxShape::Filepath, "file path to save dataframe")
+            .input_type(Type::Custom("dataframe".into()))
+            .output_type(Type::Any)
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Saves dataframe to arrow file",
+            example: "[[a b]; [1 2] [3 4]] | into df | to arrow test.arrow",
+            result: None,
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let file_name: Spanned<PathBuf> = call.req(engine_state, stack, 0)?;
+
+    let mut df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut file = File::create(&file_name.item).map_err(|e| {
+        ShellError::GenericError(
+            "Error with file name".into(),
+            e.to_string(),
+            Some(file_name.span),
+            None,
+            Vec::new(),
+        )
+    })?;
+
+    IpcWriter::new(&mut file).finish(df.as_mut()).map_err(|e| {
+        ShellError::GenericError(
+            "Error saving file".into(),
+            e.to_string(),
+            Some(file_name.span),
+            None,
+            Vec::new(),
+        )
+    })?;
+
+    let file_value = Value::String {
+        val: format!("saved {:?}", &file_name.item),
+        span: file_name.span,
+    };
+
+    Ok(PipelineData::Value(
+        Value::List {
+            vals: vec![file_value],
+            span: call.head,
+        },
+        None,
+    ))
+}

crates/nu-command/tests/commands/open.rs

@@ -208,6 +208,22 @@ fn parses_utf16_ini() {
     assert_eq!(actual.out, "-236")
 }
 
+#[cfg(feature = "database")]
+#[test]
+fn parses_arrow_ipc() {
+    let actual = nu!(
+        cwd: "tests/fixtures/formats", pipeline(
+        r#"
+            open-df caco3_plastics.arrow
+            | into nu
+            | first 1
+            | get origin
+        "#
+    ));
+
+    assert_eq!(actual.out, "SPAIN")
+}
+
 #[test]
 fn errors_if_file_not_found() {
     let actual = nu!(