---
title: PyIceberg
description: Connect PyIceberg to R2 Data Catalog to create and query Iceberg tables in Python.
image: https://developers.cloudflare.com/dev-products-preview.png
---

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# PyIceberg

Below is an example of using [PyIceberg ↗](https://py.iceberg.apache.org/) to connect to R2 Data Catalog.

## Prerequisites

* Sign up for a [Cloudflare account ↗](https://dash.cloudflare.com/sign-up/workers-and-pages).
* [Create an R2 bucket](https://developers.cloudflare.com/r2/buckets/create-buckets/) and [enable the data catalog](https://developers.cloudflare.com/r2/data-catalog/manage-catalogs/#enable-r2-data-catalog-on-a-bucket).
* [Create an R2 API token](https://developers.cloudflare.com/r2/api/tokens/) with both [R2 and data catalog permissions](https://developers.cloudflare.com/r2/api/tokens/#permissions).
* Install the [PyIceberg ↗](https://py.iceberg.apache.org/#installation) and [PyArrow ↗](https://arrow.apache.org/docs/python/install.html) libraries.

## Example usage

Python

```
import pyarrow as pafrom pyiceberg.catalog.rest import RestCatalogfrom pyiceberg.exceptions import NamespaceAlreadyExistsError
# Define catalog connection details (replace variables)WAREHOUSE = "<WAREHOUSE>"TOKEN = "<TOKEN>"CATALOG_URI = "<CATALOG_URI>"
# Connect to R2 Data Catalogcatalog = RestCatalog(    name="my_catalog",    warehouse=WAREHOUSE,    uri=CATALOG_URI,    token=TOKEN,)
# Create default namespacecatalog.create_namespace("default")
# Create simple PyArrow tabledf = pa.table({    "id": [1, 2, 3],    "name": ["Alice", "Bob", "Charlie"],})
# Create an Iceberg tabletest_table = ("default", "my_table")table = catalog.create_table(    test_table,    schema=df.schema,)
```

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