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Working with Parquet Files

The easiest way to read a GeoParquet or Parquet file is to use sd.read_parquet(). Alternatively, you can query these files directly by their path in SQL.

Install SedonaDB

Use pip to install SedonaDB from the Python Package Index (PyPI).

Note: Before running this notebook on your local machine, you must have SedonaDB installed in your environment. You can install SedonaDB with the following command: pip install "apache-sedona[db]"

Implementation

A common workflow for working with GeoParquet and/or Parquet files is:

  1. Load the Parquet file into a data frame using sd.read_parquet().
  2. Register the data frame as a view with to_view().
  3. Query the view using sd.sql().
  4. Write your results to a Parquet file with .to_parquet() or use .to_pandas() to export your results to a DataFrame or GeoDataFrame.
# Import the sedona.db module and connect to SedonaDB
import sedona.db

sd = sedona.db.connect()

# 1. Load the Parquet file
df = sd.read_parquet(
    "https://raw.githubusercontent.com/geoarrow/geoarrow-data/v0.2.0/"
    "natural-earth/files/natural-earth_cities_geo.parquet"
)

# 2. Register the data frame as a view
df.to_view("zone")

# 3. Query the view and store the result in a new DataFrame
query_result_df = sd.sql("SELECT * FROM zone LIMIT 10")
query_result_df.show()

┌──────────────┬───────────────────────────────┐
│     name     ┆            geometry           │
│     utf8     ┆            geometry           │
╞══════════════╪═══════════════════════════════╡
│ Vatican City ┆ POINT(12.4533865 41.9032822)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ San Marino   ┆ POINT(12.4417702 43.9360958)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Vaduz        ┆ POINT(9.5166695 47.1337238)   │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Lobamba      ┆ POINT(31.1999971 -26.4666675) │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Luxembourg   ┆ POINT(6.1300028 49.6116604)   │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Palikir      ┆ POINT(158.1499743 6.9166437)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Majuro       ┆ POINT(171.3800002 7.1030043)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Funafuti     ┆ POINT(179.2166471 -8.516652)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Melekeok     ┆ POINT(134.6265485 7.4873962)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Bir Lehlou   ┆ POINT(-9.6525222 26.1191667)  │
└──────────────┴───────────────────────────────┘

# 4. Write the result to a new Parquet file
output_path = "query_results.parquet"
query_result_df.to_parquet(output_path)

# (Optional) Verify the written file
print(f"\nVerifying the written file at '{output_path}'...")
verified_df = sd.read_parquet(output_path)
verified_df.show(5)

Verifying the written file at 'query_results.parquet'...
┌──────────────┬───────────────────────────────┐
│     name     ┆            geometry           │
│     utf8     ┆            geometry           │
╞══════════════╪═══════════════════════════════╡
│ Vatican City ┆ POINT(12.4533865 41.9032822)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ San Marino   ┆ POINT(12.4417702 43.9360958)  │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Vaduz        ┆ POINT(9.5166695 47.1337238)   │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Lobamba      ┆ POINT(31.1999971 -26.4666675) │
├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ Luxembourg   ┆ POINT(6.1300028 49.6116604)   │
└──────────────┴───────────────────────────────┘