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Adding JSON lines file support to dataframes (#9291)
# Description Provides the ability to read and write [JSON lines](https://jsonlines.org/) files. This is accomplished by exposing the support already in Polars. ## Opening a JSON lines file <img width="1668" alt="Screenshot 2023-05-25 at 5 25 30 PM" src="https://github.com/nushell/nushell/assets/56345/3b213c3d-eea1-440a-8425-4ce4b39ab7d1"> ## Saving a dataframe to a JSON lines file <img width="848" alt="Screenshot 2023-05-25 at 5 15 57 PM" src="https://github.com/nushell/nushell/assets/56345/56089990-e14b-4f01-b676-5abab9333d7e">
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parent
5f92fd20e9
commit
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3 changed files with 142 additions and 3 deletions
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@ -24,6 +24,7 @@ mod take;
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mod to_arrow;
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mod to_csv;
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mod to_df;
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mod to_json_lines;
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mod to_nu;
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mod to_parquet;
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mod with_column;
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@ -56,6 +57,7 @@ pub use take::TakeDF;
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pub use to_arrow::ToArrow;
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pub use to_csv::ToCSV;
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pub use to_df::ToDataFrame;
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pub use to_json_lines::ToJsonLines;
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pub use to_nu::ToNu;
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pub use to_parquet::ToParquet;
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pub use with_column::WithColumn;
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@ -98,6 +100,7 @@ pub fn add_eager_decls(working_set: &mut StateWorkingSet) {
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ToDataFrame,
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ToNu,
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ToParquet,
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ToJsonLines,
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WithColumn
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);
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}
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@ -9,8 +9,8 @@ use nu_protocol::{
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use std::{fs::File, io::BufReader, path::PathBuf};
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use polars::prelude::{
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CsvEncoding, CsvReader, IpcReader, JsonReader, LazyCsvReader, LazyFileListReader, LazyFrame,
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ParallelStrategy, ParquetReader, ScanArgsIpc, ScanArgsParquet, SerReader,
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CsvEncoding, CsvReader, IpcReader, JsonFormat, JsonReader, LazyCsvReader, LazyFileListReader,
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LazyFrame, ParallelStrategy, ParquetReader, ScanArgsIpc, ScanArgsParquet, SerReader,
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};
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#[derive(Clone)]
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@ -22,7 +22,7 @@ impl Command for OpenDataFrame {
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}
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fn usage(&self) -> &str {
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"Opens CSV, JSON, arrow, or parquet file to create dataframe."
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"Opens CSV, JSON, JSON lines, arrow, or parquet file to create dataframe."
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}
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fn signature(&self) -> Signature {
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@ -118,6 +118,7 @@ fn command(
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"parquet" => from_parquet(engine_state, stack, call),
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"ipc" | "arrow" => from_ipc(engine_state, stack, call),
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"json" => from_json(engine_state, stack, call),
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"jsonl" => from_jsonl(engine_state, stack, call),
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_ => Err(ShellError::FileNotFoundCustom(
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format!("{msg}. Supported values: csv, tsv, parquet, ipc, arrow, json"),
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blamed,
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@ -299,6 +300,44 @@ fn from_json(
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Ok(df.into_value(call.head))
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}
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fn from_jsonl(
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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) -> Result<Value, ShellError> {
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let infer_schema: Option<usize> = call.get_flag(engine_state, stack, "infer-schema")?;
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let file: Spanned<PathBuf> = call.req(engine_state, stack, 0)?;
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let file = File::open(&file.item).map_err(|e| {
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ShellError::GenericError(
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"Error opening file".into(),
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e.to_string(),
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Some(file.span),
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None,
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Vec::new(),
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)
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})?;
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let buf_reader = BufReader::new(file);
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let reader = JsonReader::new(buf_reader)
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.with_json_format(JsonFormat::JsonLines)
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.infer_schema_len(infer_schema);
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let df: NuDataFrame = reader
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.finish()
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.map_err(|e| {
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ShellError::GenericError(
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"Json lines reader error".into(),
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format!("{e:?}"),
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Some(call.head),
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None,
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Vec::new(),
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)
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})?
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.into();
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Ok(df.into_value(call.head))
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}
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fn from_csv(
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engine_state: &EngineState,
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stack: &mut Stack,
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97
crates/nu-cmd-dataframe/src/dataframe/eager/to_json_lines.rs
Normal file
97
crates/nu-cmd-dataframe/src/dataframe/eager/to_json_lines.rs
Normal file
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@ -0,0 +1,97 @@
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use std::{fs::File, io::BufWriter, path::PathBuf};
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use nu_engine::CallExt;
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use nu_protocol::{
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ast::Call,
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engine::{Command, EngineState, Stack},
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Category, Example, PipelineData, ShellError, Signature, Spanned, SyntaxShape, Type, Value,
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};
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use polars::prelude::{JsonWriter, SerWriter};
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use super::super::values::NuDataFrame;
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#[derive(Clone)]
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pub struct ToJsonLines;
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impl Command for ToJsonLines {
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fn name(&self) -> &str {
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"dfr to-jsonl"
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}
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fn usage(&self) -> &str {
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"Saves dataframe to a JSON lines file."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.required("file", SyntaxShape::Filepath, "file path to save dataframe")
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.input_type(Type::Custom("dataframe".into()))
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.output_type(Type::Any)
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.category(Category::Custom("dataframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "Saves dataframe to JSON lines file",
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example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr to-jsonl test.jsonl",
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result: None,
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}]
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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command(engine_state, stack, call, input)
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}
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}
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fn command(
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let file_name: Spanned<PathBuf> = call.req(engine_state, stack, 0)?;
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let mut df = NuDataFrame::try_from_pipeline(input, call.head)?;
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let file = File::create(&file_name.item).map_err(|e| {
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ShellError::GenericError(
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"Error with file name".into(),
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e.to_string(),
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Some(file_name.span),
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None,
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Vec::new(),
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)
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})?;
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let buf_writer = BufWriter::new(file);
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JsonWriter::new(buf_writer)
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.finish(df.as_mut())
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.map_err(|e| {
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ShellError::GenericError(
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"Error saving file".into(),
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e.to_string(),
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Some(file_name.span),
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None,
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Vec::new(),
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)
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})?;
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let file_value = Value::String {
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val: format!("saved {:?}", &file_name.item),
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span: file_name.span,
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};
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Ok(PipelineData::Value(
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Value::List {
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vals: vec![file_value],
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span: call.head,
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},
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None,
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))
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}
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