Začínáme

mkdir r2-data-catalog-notebook

cd r2-data-catalog-notebook

uv init

uv add marimo pyiceberg pyarrow pandas

import marimo

__generated_with = "0.11.31"
app = marimo.App(width="medium")


@app.cell
def _():
		import marimo as mo
		return (mo,)


@app.cell
def _():
		import pandas
		import pyarrow as pa
		import pyarrow.compute as pc
		import pyarrow.parquet as pq

		from pyiceberg.catalog.rest import RestCatalog

		# Define catalog connection details (replace variables)
		WAREHOUSE = "<WAREHOUSE>"
		TOKEN = "<TOKEN>"
		CATALOG_URI = "<CATALOG_URI>"

		# Connect to R2 Data Catalog
		catalog = RestCatalog(
				name="my_catalog",
				warehouse=WAREHOUSE,
				uri=CATALOG_URI,
				token=TOKEN,
		)
		return (
				CATALOG_URI,
				RestCatalog,
				TOKEN,
				WAREHOUSE,
				catalog,
				pa,
				pandas,
				pc,
				pq,
		)


@app.cell
def _(catalog):
		# Create default namespace if needed
		catalog.create_namespace_if_not_exists("default")
		return


@app.cell
def _(pa):
		# Create simple PyArrow table
		df = pa.table({
				"id": [1, 2, 3],
				"name": ["Alice", "Bob", "Charlie"],
				"score": [80.0, 92.5, 88.0],
		})
		return (df,)


@app.cell
def _(catalog, df):
		# Create or load Iceberg table
		test_table = ("default", "people")
		if not catalog.table_exists(test_table):
				print(f"Creating table: {test_table}")
				table = catalog.create_table(
						test_table,
						schema=df.schema,
				)
		else:
				table = catalog.load_table(test_table)
		return table, test_table


@app.cell
def _(df, table):
		# Append data
		table.append(df)
		return


@app.cell
def _(table):
		print("Table contents:")
		scanned = table.scan().to_arrow()
		print(scanned.to_pandas())
		return (scanned,)


@app.cell
def _():
		# Optional cleanup. To run uncomment and run cell
		# print(f"Deleting table: {test_table}")
		# catalog.drop_table(test_table)
		# print("Table dropped.")
		return


if __name__ == "__main__":
		app.run()

uv run marimo edit r2-data-catalog-tutorial.py