-
-
Save ganeshan/f0a25c63e1090ebda56d7796fc650c3e to your computer and use it in GitHub Desktop.
An intro to Apache Parquet
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# The NYC Taxis Dataset - https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page | |
pip install parquet-cli | |
parq data/yellow_tripdata_2022-01.parquet | |
parq data/yellow_tripdata_2022-01.parquet --schema | |
parq data/yellow_tripdata_2022-01.parquet --head 10 | |
parq data/yellow_tripdata_2022-01.parquet --tail 10 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pyarrow.parquet as pq | |
file = pq.ParquetFile("data/yellow_tripdata_2022-01.parquet") | |
file.metadata | |
file.schema | |
file.read().to_pandas() | |
df = file.read().to_pandas() | |
df.to_csv("trips.csv") | |
df.to_json("trips.json", orient="records", lines=True) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
stat -f %z data/yellow_tripdata_2022-01.parquet | numfmt --to=iec | |
stat -f %z trips.csv | numfmt --to=iec | |
stat -f %z trips.json | numfmt --to=iec |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment