lakeshack 0.2.2

Query parquet files using pyarrow or S3 Select by first gathering file metadata into a database

Lakeshack

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A simplified data lakehouse, more of a data lakeshack, optimized for retrieving filtered records from Parquet files. Similar to the various lakehouse solutions (Iceberg, Hudi, Delta Lake), Lakeshack gathers up the min/max values for specified columns from each Parquet file and stores them into a database (Metastore). When you want to query for a set of records, it first check the Metastore to get the list of Parquet files that might have the desired records, and then only queries those Parquet files. The files may be stored locally or in S3. You may query using either native pyarrow or leverage S3 Select.

To achieve optimal performance, a partitioning strategy for how records are to be written to the Parquet files must align with the main query pattern must be implemented. See the documentation for more information on this.

Installation

Lakeshack may be install using pip:

pip install lakeshack

Documentation

Documentation can be found at https://mhendrey.github.io/lakeshack