GraphAware
Registering a custom analyzer for phonetic search in Neo4j 4 | GraphAware
Phonetic matching attempts to match words by pronunciation instead of spelling. Words are typically misspelled and exact matches result in the...
GraphAware
Reactive data copy using Neo4j | GraphAware
The release of Neo4j 4.0 brought many improvements, one of them being areactive architecture across the stack, from query execution to clientdrivers. Bu...
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GraphAware
Exploring The MET Art Collections with Hume #2 | GraphAware
In our last MET Art Collections post we ingested and processed part of a dataset containing more than 470,000 artworks from The Metropolitan Museum of A...
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GraphAware
Exploring The MET Art Collections with Hume #1 | GraphAware
The Metropolitan Museum of Art recently published a dataset of more than 470,000 works of art under the CC-zero License. Representing such a collection ...
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GraphAware
Insightful IT Operations with Hume | GraphAware
Graphs are a perfect fit for IT Operations. Right from dependency management to impact analysis and capacity to outage planning, the interconnectedness ...
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You just need the Java Bolt driver https://neo4j.com/docs/driver-manual/current/get-started/#driver-get-started-installation
Since LOAD CSV is just Cypher, you'd use the driver as you would for any Cypher queries https://neo4j.com/docs/driver-manual/...
Not aware of a Cypher query for this, but you can pick the right property to show for the labels that do not have a value displayed from the browser/Neo4j desktop browser
Hi @FourMoBro
What is row.tables? Is it the primary key of your t node?
FourMoBro:
MERGE (t:AXX {id:row.tables})
Is it the same as row.table_num in the previous
MERGE (t:AXX {id:row.table_num})
?
If not, then you will get "duplicate" nodes.
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No, moving the r.affinity filter to after the WITH will not make a difference because the relationships have already been expanded into. If you know for a fact that it would be cheaper to expand from t to s then perhaps you can play with some hints ...
