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vgi-polars

A Polars client for VGI (Vector Gateway Interface). Lets a polars.LazyFrame/polars.DataFrame scan a VGI catalog's tables and call its scalar, table-in-out, and aggregate functions — the same role the VGI DuckDB extension plays for DuckDB, but for Polars, with no DuckDB dependency at all.

This is not a new VGI protocol implementation. It's a thin adapter over vgi-python's existing pure-Python, Arrow-native reference client (vgi.client.Client) — the same wire-protocol code the DuckDB extension speaks — combined with Polars' polars.io.plugins.register_io_source extension point, which was purpose-built for exactly this "external source with pushdown" shape.

Installation

pip install vgi-polars

HTTP-transport support (talking to a VGI worker over http:///https://, and the Orchard remote-secret-provider path) needs an extra:

pip install "vgi-polars[http]"

Subprocess and TCP transports need no extra.

Quick start

import polars as pl
import vgi_polars as vp

with vp.attach("path/to/my-vgi-worker", name="my_catalog") as cat:
    print(cat.schemas())
    print(cat.tables("main"))

    t = cat.table("main", "events")
    print(t.schema)                # polars.Schema, no scan performed
    print(t.scan().filter(pl.col("value") > 90).collect())

    my_fn = cat.scalar_function("main", "my_function")
    df = pl.DataFrame({"a": [1, 2, 3], "b": [10, 20, 30]})
    print(df.with_columns(my_fn(pl.col("a"), pl.col("b")).alias("result")))

attach() auto-detects transport from the location string's scheme — a bare command is a subprocess worker, http:///https:// is HTTP, tcp://host:port is raw Arrow-IPC framing over TCP:

cat = vp.attach("http://localhost:8080", name="my_catalog")

Any VGI worker — written in Python, Rust, Go, Java, or TypeScript — speaks to vgi-polars unchanged; VGI is a cross-language protocol, not a Python-specific one. See vgi-python for reference worker implementations and the protocol documentation.

Design principle: pushdown is an optimization, never a correctness delegation

Polars does not re-verify a predicate/projection an io_source claims to have applied — confirmed empirically (see CLAUDE.md). VGI worker implementations, meanwhile, are written and tested against the DuckDB extension, which does always re-verify, so a worker may declare filter_pushdown/projection_pushdown and still apply either only approximately. Since neither side can be trusted alone, vgi-polars always applies the complete, original filter/projection/limit locally after scanning, regardless of what was pushed down. Pushdown here only ever affects performance, never correctness.

Status

Implemented:

• Catalog attach/detach with versioning introspection
• Schema and table discovery, incl. per-column statistics
• Table scan (eager + lazy) with best-effort projection/filter pushdown, incl. is_in
• required_filters cost-safety enforcement
• Sequential split-scan redemption
• Transparent multi-branch-table scanning (pl.concat under the hood)
• A minimal in-memory/TTL result cache
• Time-travel scans (AT clauses)
• Scalar function calls with scoped secrets and per-chunk input dedup
• Streaming and buffered table-in-out functions
• Aggregate functions
• Subprocess, HTTP, and TCP transports

Not implemented:

• Writes
• Companion-catalog federation
• Per-table time-travel discovery
• The container:///github:///launch: transport schemes (a substantially larger effort — a from-scratch Python transport layer, not an extension of the existing scheme table)

See CLAUDE.md for the full architecture, every non-obvious behavior discovered while building this, and an evidence-backed breakdown of every scoped-out item above.

Development

git clone https://github.com/Query-farm/vgi-polars.git
git clone https://github.com/Query-farm/vgi-python.git   # sibling checkout, see CLAUDE.md
cd vgi-polars
uv sync
uv run pytest -v

vgi-polars tracks vgi-python's client-side surface as both develop together — see CLAUDE.md's "Build / Test" section for why a sibling vgi-python checkout is used locally and in CI rather than the published package, and for the full test-running/fixture-worker setup.

License

Apache License, Version 2.0 — see LICENSE.