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GeoArrow (Apache Arrow)

Open Beta

.arrow · application/vnd.apache.arrow.file

GeoArrow हे भू-स्थानिक डेटासाठीचे Apache Arrow-आधारित स्तंभीय स्वरूप आहे. मोठ्या डेटा विश्लेषणासाठी, ML पाइपलाइनसाठी आणि दृश्यीकरणासाठी आदर्श. DuckDB, Pandas, Polars आणि इतर Arrow-सुसंगत साधनांसह कार्य करते.

आता GeoArrow निर्यात करा ✨ Open Beta — विनामूल्य, कोणत्याही मर्यादा नाहीत

मुख्य वैशिष्ट्ये

✓स्तंभीय साठवण

✓शून्य-प्रत वाचन

✓Arrow परिसंस्था सुसंगतता

Example GeoArrow export (central Moscow, 1x0.5 km) — Example: central Moscow, ~1×0.5 km, medium detail

GeoArrow स्वरूपाबद्दल

Apache Arrow is the standard for representing tables in memory: columns lie contiguously, the schema is described explicitly, and different programs read the very same bytes without copying or re-encoding. GeoArrow is the agreement on how to store geometry inside that structure so that GeoPandas, DuckDB, Polars, deck.gl and GDAL understand it.

The format is taken when data is not displayed but computed: spatial joins over millions of features, feature preparation for a model, a dashboard on top of a columnar engine. At those volumes, parsing text GeoJSON eats more time than the analysis itself.

The output is a single .arrow file (Apache Arrow IPC, also known as Feather v2). All the layers are merged into one table, and every row has a layer column with the name of its source layer. Geometry is stored as a binary column in WKB format, and the WGS84 (EPSG:4326) coordinate system is described in the schema metadata per the GeoArrow 1.0.0 convention.

By default the file is compressed with the zstd codec; you can choose lz4 or no compression at all. There is a safety limit of 10 million features per export, so as not to eat up the server's memory.

GeoArrow फाइल्स कोणता कार्यक्रम उघडतो

खालील कार्यक्रम आणि अनुप्रयोग OSM2CDR मधून निर्यात केलेल्या GeoArrow (Apache Arrow) (.arrow) फाइल्स उघडू, संपादित करू आणि त्यांवर काम करू शकतात:

💻DuckDB 💻Apache Arrow 💻Pandas 💻Polars 💻GeoPandas

Format specifications

Open standard
3D coordinates supported
Lossless (no quality loss)
Stores feature attributes
Output: 1 file
GeoArrow .arrow (Apache Arrow extension). In-memory columnar geometry, zero-copy interop with pandas, R, Julia.

GeoArrow नकाशे कोण वापरतो

🏗

मोठ्या डेटाचे विश्लेषण

Millions of features are read by an analytical engine with no text parsing.

💻

ML पाइपलाइन

Ready spatial features for training models — straight away as a table.

📊

स्तंभीय विश्लेषण

Queries on individual columns run faster than on row-based formats.

🎨

दृश्यीकरण

A source for lonboard and deck.gl, which draw Arrow tables directly.

🗺

वैज्ञानिक गणन

The same file is read by Python, R and Julia — exchange between teams with no conversion.

GeoArrow कसे निर्यात करावे

क्षेत्र निवडा

osm2cdr.ru वरील परस्परसंवादी नकाशावर आयत किंवा बहुभुज काढा

GeoArrow निवडा

127 उपलब्ध निर्यात स्वरूपांच्या यादीतून GeoArrow (Apache Arrow) निवडा

निर्यात

«निर्यात» क्लिक करा आणि 1-5 मिनिटांत आपली .arrow फाइल मिळवा

डाउनलोड

तयार GeoArrow फाइल डाउनलोड करा आणि ती DuckDB मध्ये उघडा

निर्यातीनंतर कसे उघडावे

Python — pyarrow.ipc.open_file("map.arrow").read_all() gives you the table; the geometry is restored from the WKB column with shapely.from_wkb or geopandas.
DuckDB — INSTALL spatial; LOAD spatial; then SELECT * FROM 'map.arrow' and ST_GeomFromWKB on the geometry column.
Polars and pandas — pl.read_ipc("map.arrow") or reading through pyarrow: the attribute part works like an ordinary table, with no geo wrapping.
R and Julia — the arrow packages read the same file: it is one format across all languages, no conversion needed.
Visualization and GIS — lonboard and deck.gl draw Arrow tables directly; for QGIS it is easier to convert to GeoPackage with ogr2ogr (GDAL 3.8 and newer).

GeoArrow मधील लोकप्रिय नकाशे

मोफत