This video demonstrates how to use the PyIceberg CLI.
For the demo, we use the docker-spark-iceberg setup that’s available here: https://github.com/tabular-io/docker-…
First, we create a table using Spark through the Jupyter notebook.
Next, we browse the catalog using the `pyiceberg` CLI. We install pyiceberg from pip using `pip install “pyiceberg[pyarrow]”`.
Then we demonstrate several commands like list, describe, and files to retrieve information about the iceberg tables.
In the end, we show how easy it is to accidentally drop a table using the CLI.
