I am using neo4j-import to import millions of nodes and relationship.
Is there any option to create relationships in to the existing database. I want to import the relationship using neo4j-import because I have millions of relationships.
Your cooperation is truly appreciated! Thanks
neo4j-import can be solely used for initial imports.
For huge mass imports into an existing database in offline mode you can use the batch inserter API.
If the database needs to be online while importing you can use LOAD CSV with periodic commit functionality.
A third option is to write an unmanaged extension to Neo4j and do the import programmatically.
Related
I have a .rdf file which I was used for Dgraph in order to import the data and the subsequently queries in order to get the relations in the Dgraph Ratel UI.
Now I need to include in my web application for which Dgraph doesn't have support (link). Hence I started looking for Neo4j.
Can anyone please help out how to import .rdf file in Neo4j if not what's the workaround.
Thanks.
Labeled property graph (LPG) and RDF graph are different graph data models, see:
RDF Triple Stores vs. Labeled Property Graphs: What's the Difference? by Jesus Barrasa
Reification is red herring by Bob DuCharme
Neo4j supports LPG data model only. However, there is the neosemantics Neo4j plugin.
After installation, say:
CALL semantics.importRDF(<RDF_file_path>, <RDF_serialization_format>)
The mapping from RDF to LPG is described here.
I'd suggest you to use a proper triplestore for RDF data.
I have some normalized Master Data in PostgreSQL.
I want a graph visualization layer in Neo4j without migrating any Data to Neo4j. Kind of like a view. Lazy fetching of data at runtime.
Neo4j will not commit any changes and only meant for viewing.
Can Neo4j use something like a PostgreSQL JDBC connector and provide a visualization?
Thanks.
You could with apoc.load.jdbc and virtual nodes/relationships created from the data.
But it would be a bit involved as you need to load all tables and then connect them.
With the Neo4j-ETL tool you can do a quick (few min) one-time import to visualize.
https://neo4j.com/blog/neo4j-etl-1-2-0-release-whats-new-and-demo/
Esp. if you don't just visualize but also query you need to transfer the data anyway.
You can use ETL tool, from Neo4j.
You need to ask for an activation key via email at devrel#neo4j.com
I want to import data into Neo4j. My dataset has about 6 billion rows of data, and I am trying to avoid exporting and importing through CSV. Since this would take a while, is there an alternative way?
If you're fluent in Java, you can also use the parallel batch importer APIs directly from Java, see:
https://github.com/jexp/neo4j-rdbms-import
https://github.com/jexp/neo4j-dataset-import
I have tables which have millions of records. I need to load these records as nodes in neo4j.
Please help me out on how to do it as I'm new to neo4j.
It is quite easy, just map your entities that should become nodes into a set of csv files and the connections that should become relationships in another set of files.
Then run them with my batch-importer: https://github.com/jexp/batch-import/tree/20#binary-download
import.sh nodes1.csv,nodes2.csv rels1.csv,rels2.csv
Add types and index information to the headers and the batch.properties config file as needed.
You can use the batch-importer for the initial inserter but also subsequent updates (but the database has to be shut-down for that).
It is pretty easy to connect to your existing database using its driver and then extract the information of the right shape and kind and insert it into your graph model,
Either using Cypher statements with parameters or the embedded, transactional Java API for ongoing updates.
See: http://jexp.de/blog/2013/05/on-importing-data-in-neo4j-blog-series/
You can export to CSV and import it into node (probably wont work well since you have millions of records)
You can write a program to do it (this is what I am currently working on).
This also depends on what programming languages you know... but the bottom line is, because no two databases are created equally (unless on purpose), it's very difficult to create a catch-all solution for migrating data from SQL to Neo.
The best way that I've discovered so far is to create a program that queries the tables in the database, finds all related tables (i.e. foreign keys), and imports all those table rows into Neo, labeling the nodes using the Table name, then process the foreign keys as relationships.
It's not easy. I've been working on something for my database here for a week or so now... but I'm close!
I use Neo4jClient (.NET). I have to import master data like countries.
I've seen that Neo4j has a Java API for that (the batch insertion API). Is it possible to import data via the web interface or another tool?
If not, do I have to import the data via Neo4JClient wrapper with the Create() function?!
Thanks.
It will be much faster if you grit your teeth and do this using the batch insertion API- either by writing an import script in Java or another JVM language or by using Michael Hunger's batch inserter, which inserts data from CSV. Check out Max de Marzi's post on the topic for a good approach.
Even though REST bindings are trying to offer decent performance, they'll never be as fast as native database access- and even if they were, the batch insertion API strips down some of the database features (multi-thread access, etc) to great improve initial import time.
Also,
could you try using Cypher CREATE since that is not as fast as Batch, but faster than REST, and should let you create stuff fast.
http://docs.neo4j.org/chunked/snapshot/cypher-cookbook-pretty-graphs.html gives some good hints ...
Check out the Cypher neo4j import csv option. Maybe that helps. Otherwise just use a big Cypher query
http://neo4j.com/docs/milestone/query-load-csv.html