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I've been working with a collection of files that are stored in Amazon S3, which happen to be in the parquet format. These files represent the edges of a graph I'm working on, and are structured with the following fields: src_id, dst_id, and weight.

Is there a convenient and straightforward method for importing this data into Memgraph without having to go through the hassle of converting the files to CSV format?

Zet Hund Pet
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At the the moment Memgraph supports (public key auth) via GQLAlchemy (Python + PyArrow). At the moment there is no native integration (C++) for loading parquet files from S3 as is exists for loading CSV files.

Taja Jan
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