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Currently, kuzu only supports directly projecting properties and not of expressions using the properties The code for data ingestion is in the files build_graph.py in either directory of the github repo ⤴ Projecting properties of intermediate nodes and relationships can improve both performance and memory footprint.
[2] it is invasive in many parts of the world, primarily north america Kùzu, being an embedded database, comes with a python api that can be accessed by simply using pip install kuzu, and ingested directly from parquet via its bulk loader The vine densely climbs over.
Transactions kuzu implements a transaction management subsystem that is atomic, durable and supports serializability
Every query, data manipulation command, ddl (i.e., new node/rel table schema definitions), or copy from command to kuzu is part of a transaction. In contrast, a connection object that was created using a read_only database can only execute queries that do read operations Then, using conn, one can execute cypher queries against the example.kuzu database Here's a simple example application in python that demonstrates these two steps for creating a read_write database and a connection.
Import data there are multiple ways to import data in kuzu The only prerequisite for inserting data into a database is that you first create a graph schema, i.e., the structure of your node and relationship tables For small graphs (a few thousand nodes), the create and merge cypher clauses can be used to insert nodes and relationships. Command line interface (cli) kuzu provides a cli shell through which you can issue cypher queries or call commands to query metadata
See the installation docs for instructions on how to install the cli and the quick start page for its basic usage
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