Filesystem

The file:// source reads local files (BSON, CSV, JSONL, Parquet, XLSX) through the same readers used by the S3, GCS and SFTP sources. Any file format those sources support is supported here too, along with globbing, gzip decompression and #format hints.

omniload supports local files as both a data source and a destination. See Using file:// as a destination below for writing.

URI Format

Everything after file:// is treated as a filesystem path. Relative paths resolve against the current working directory; an extra leading slash gives an absolute path.

file://<path>

Form

Example

Resolves to

Relative path

file://data/users.csv

<cwd>/data/users.csv

Absolute path (POSIX)

file:///srv/data/users.jsonl

/srv/data/users.jsonl

Windows drive

file:///C:/data/users.csv (or file://C:/data/users.csv)

C:\data\users.csv

Windows UNC

file:////server/share/users.csv

\\server\share\users.csv

Path via --source-table

--source-uri file:// --source-table data/users.parquet

<cwd>/data/users.parquet

Glob

file://data/*.csv

all matching files in <cwd>/data

Format hint

file://feed.dat#csv

feed.dat read as CSV

The file format is inferred from the extension (.bson, .csv, .jsonl, .parquet, .xlsx, optionally .gz) or from an explicit format hint.

Tip

file:// intentionally treats the first path segment as part of the path, not as an RFC-8089 host. This is what makes the two-slash form file://data/x.csv (relative to the working directory) work, matching how csv:// already behaves. Use the three-slash form file:///abs/x.csv for absolute paths.

Note

Windows paths are supported: file:///C:/data/x.csv (or file://C:/data/x.csv) reads the drive path C:\data\x.csv, and file:////server/share/x.csv reads the UNC path \\server\share\x.csv. Backslash input (file://\\server\share\x.csv) is accepted as well.

Example: Loading a local CSV into DuckDB

omniload ingest \
    --source-uri 'file://data/users.csv' \
    --source-table 'users' \
    --dest-uri duckdb:///local.duckdb \
    --dest-table 'public.users'

The --source-table value is only used as the path when the URI path is empty (the split form above); otherwise it is ignored, and the destination table is controlled by --dest-table.

Example: Loading a XLSX spreadsheet into DuckDB

omniload ingest \
    --source-uri 'file://users.xlsx' \
    --source-table 'users' \
    --dest-uri duckdb:///local.duckdb \
    --dest-table 'public.users'

Here, the --source-table value is used to address the spreadsheet name. When --source-table is omitted, the reader will read the first sheet.

Supported formats

The same set the blob sources support:

  • #bson - BSON (MongoDB dump format), read-only. See BSON.

  • #csv - comma-separated values with a header row

  • #csv_headless - CSV without a header row (see below)

  • #xlsx - XLSX Spreadsheet format

  • #jsonl - line-delimited JSON

  • #parquet - Parquet

BSON is a read format only; the write side below supports csv, jsonl and parquet.

File glob patterns

The path may contain a glob pattern to load multiple files at once. The split into directory and pattern happens at the first segment containing a glob character (*, ?, [), so recursive patterns work:

Pattern

Description

file://data/*.csv

All CSV files at the top level of <cwd>/data.

file://data/**/*.jsonl

All JSONL files under <cwd>/data, recursively.

file:///srv/logs/**/*.csv.gz

All gzipped CSV files under /srv/logs, recursively.

Compressed files

Gzipped files (.gz) are detected and decompressed automatically, so file://data/events.csv.gz loads without any extra configuration.

File type hinting

If a file is correctly encoded but has a non-standard extension, append a #format fragment to tell omniload how to read it:

omniload ingest \
    --source-uri 'file://data/event-data#jsonl' \
    --source-table 'events' \
    --dest-uri duckdb:///local.duckdb \
    --dest-table 'public.events'

A literal # in a path is preserved when the trailing segment is not one of the known formats, so file://data/vendor#1/report.csv reads the file at data/vendor#1/report.csv as CSV.

CSV files without headers

For CSV files without a header row, use the #csv_headless hint and optionally supply column names with --columns:

omniload ingest \
    --source-uri 'file://data/raw-data.csv#csv_headless' \
    --source-table 'raw' \
    --columns "id:bigint,name:text,value:double" \
    --dest-uri duckdb:///local.duckdb \
    --dest-table 'public.raw_data'

Without column names, columns are auto-named unknown_col_0, unknown_col_1, and so on.

Reader hints

The URI fragment is also a general reader-hint channel: besides a #format token it can carry #key=value pairs that a reader may use to parametrize how a file is read (for example, a future spreadsheet reader could take a sheet name). A format hint and named hints coexist in one fragment, &-separated:

file://quotes.dat#csv&sheet=daily&header=0

The named-hint grammar:

  • Values are percent-decoded, so #sheet=My%20Sheet gives the value My Sheet and #sheet=R%26D gives R&D.

  • Only the first = splits key from value, so a value may itself contain = (#range=A1=B2 gives range = A1=B2).

  • An empty value is preserved (#sheet= gives sheet = ""); a reader decides whether that means “unset”.

  • Duplicate keys take the last value (#sheet=a&sheet=b gives b).

  • If any segment of the fragment is neither a key=value pair nor a single known format, the whole #... is treated as a literal part of the path, so a real # in a filename keeps working. Percent-encode a literal # as %23 when a trailing path#key=value would otherwise be read as a fragment.

Note

Reader hints are a forward-looking channel. The built-in BSON, CSV, JSONL and Parquet readers take no hints today, so a #key=value pair is parsed and carried but has no effect on them yet. Only the #format token changes current read behavior. The same channel is available on the S3, Google Cloud Storage and SFTP sources.

Using file:// as a destination

file:// also writes local files. The output format is taken from the destination file extension (.csv, .jsonl, .parquet) or from an explicit #format hint, exactly like the source side. The written file drops dlt’s internal bookkeeping columns, so it round-trips cleanly.

omniload ingest \
    --source-uri 'postgres://user:password@host:5432/db' \
    --source-table 'public.users' \
    --dest-uri 'file://export/users.parquet' \
    --dest-table 'public.users'

Destination URI

Output

file://out.csv

CSV written to <cwd>/out.csv

file:///srv/out.jsonl

JSONL written to /srv/out.jsonl

file://export/users.parquet

Parquet written to <cwd>/export/users.parquet

file://feed.dat#csv

CSV written to <cwd>/feed.dat

The path grammar is identical to the source (relative-to-cwd, absolute, Windows drive and UNC forms all resolve the same way). Supported output formats are csv, jsonl and parquet; any other extension (or none) is rejected with the supported-format list. --dest-table must be <dataset>.<table>; it only names the intermediate layout, the output file is the URI path.

Parent directories in the destination path are created if they don’t exist, and an existing file at the destination is overwritten. Globs are a read-only feature and are not supported when writing.

Relationship to csv://

The csv:// scheme still exists and is unchanged: it reads and writes a single local CSV file. file:// is the broader local path, covering JSONL and Parquet as well as CSV, plus (on read) globbing and gzip decompression. Prefer file:// for local files; use csv:// only when you specifically want the standalone CSV reader.