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polars open
will now open a lazy frame by default (#13556)
# Description When opening a dataframe the default operation will be to create a lazy frame if possible. This works much better with large datasets and supports hive format. # User-Facing Changes - `--lazy` is nolonger a valid option. `--eager` must be used to explicitly open an eager dataframe.
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@ -46,7 +46,7 @@ impl PluginCommand for OpenDataFrame {
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}
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fn usage(&self) -> &str {
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"Opens CSV, JSON, JSON lines, arrow, avro, or parquet file to create dataframe."
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"Opens CSV, JSON, JSON lines, arrow, avro, or parquet file to create dataframe. A lazy dataframe will be created by default, if supported."
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}
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fn signature(&self) -> Signature {
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@ -56,7 +56,7 @@ impl PluginCommand for OpenDataFrame {
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SyntaxShape::Filepath,
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"file path to load values from",
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)
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.switch("lazy", "creates a lazy dataframe", Some('l'))
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.switch("eager", "Open dataframe as an eager dataframe", None)
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.named(
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"type",
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SyntaxShape::String,
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@ -173,7 +173,7 @@ fn from_parquet(
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file_path: &Path,
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file_span: Span,
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) -> Result<Value, ShellError> {
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if call.has_flag("lazy")? {
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if !call.has_flag("eager")? {
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let file: String = call.req(0)?;
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let args = ScanArgsParquet {
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n_rows: None,
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@ -275,7 +275,7 @@ fn from_ipc(
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file_path: &Path,
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file_span: Span,
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) -> Result<Value, ShellError> {
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if call.has_flag("lazy")? {
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if !call.has_flag("eager")? {
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let file: String = call.req(0)?;
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let args = ScanArgsIpc {
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n_rows: None,
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@ -389,7 +389,7 @@ fn from_jsonl(
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.map(|schema| NuSchema::try_from(&schema))
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.transpose()?;
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if call.has_flag("lazy")? {
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if !call.has_flag("eager")? {
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let start_time = std::time::Instant::now();
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let df = LazyJsonLineReader::new(file_path)
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@ -473,7 +473,7 @@ fn from_csv(
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.map(|schema| NuSchema::try_from(&schema))
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.transpose()?;
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if call.has_flag("lazy")? {
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if !call.has_flag("eager")? {
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let csv_reader = LazyCsvReader::new(file_path);
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let csv_reader = match delimiter {
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