folder_indexer 0.1.0

A Python script to index a large folder into a parquet file, along with metadata

file-indexer-py

A Python script to index a large folder into a parquet file, along with metadata

Description

This script is useful for searching for files stored on a reasonably slow disk from backups, especially in where you aren't sure about the files are are searching for.

Use tools like DBeaver and DuckDB to query and explore the generated index.

Usage

pip install file_indexer

python3 -m file_indexer -i /path/to/input/folder -o /path/to/output/folder
# --or--
file_indexer -i /path/to/input/folder -o /path/to/output/folder

Metadata Indexed and Output

The output parquet files have the following columns:

* file_path
* folder_path
* file_name
* file_size_bytes
* md5_hash_hex
* sha256_base64
* date_created
* date_modified
* date_accessed
* magic_file_type_1
* first_100_bytes
* last_100_bytes
* timestamp_crawled
* indexing_start_timestamp

The parquet files are stored to the output folder with the following naming convention: partial_file_index_{datetime}.parquet

At the end of the execution, the individual parquet files are unioned into a single parquet file, with the following name: 00_complete_file_index.parquet