 Creating graph with Neo4j graph database takes too long
By : Jaan45
Date : March 29 2020, 07:55 AM
wish helps you Usually I can import about 1M nodes and 200k relationships per second on my macbook. Flush & Search code :
cache_type=none
use_memory_mapped_buffers=true
neostore.nodestore.db.mapped_memory=200M
neostore.relationshipstore.db.mapped_memory=1000M
neostore.propertystore.db.mapped_memory=250M
neostore.propertystore.db.strings.mapped_memory=250M
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Neo4j graph database java.lang.OutOfMemoryError: Java heap space. Neo4j graph database
By : Tharun Reddy Bommare
Date : March 29 2020, 07:55 AM
it fixes the issue As your dataset is a public dataset it would be very helpful if you could share your database. In general you are computing many million or billion paths, which you are aggregating after the fact, that just takes a while. Combined with probably too little memory and a slow disk it takes a long time to load the data from disk. code :
// this is the expensive operation, to order millions of authors by id
// still, do it and take the top 25
MATCH (a:author) WITH a order by a.id LIMIT 25
// find publications for the top 25 authors
MATCH (a)<-[:publishedby]-(p)
// return aggregation
RETURN a.id, p.year, p.type, count(*)
LIMIT 25;
export JAVA_OPTS="-Xmx4000M -Xms4000M -Xmn1000M"
bin/neo4j-shell -path data/graph.db -config conf/neo4j.properties
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 AttributeError: 'Graph' object has no attribute 'cypher' in migration of data from Postgress to Neo4j(Graph Database)
By : Ahmed Khattab
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I had this problem too. In my case I was looking at the py2neo v2 documentation but on my machine was installed py2neo v3. You should check your py2neo version and replace .cyper({query}) with .run({query})
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 How do I (cypher) query Neo4j embedded graph database from java program for Neo4j 3.x?
By : Vinni
Date : March 29 2020, 07:55 AM
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 What is difference between Titan and Neo4j graph database?
By : Bhargava Krishna
Date : March 29 2020, 07:55 AM
this will help Titan was originally backed by Aurelius, which was bought by DataStax in 2015. This move was designed to give DataStax a jump-start into the Graph DB world, as they now offer their own "DSE Graph" enterprise product. Titan was since been forked (as previously mentioned) into JanusGraph. The nice thing about Titan/Janus (IMO) is that it is "pluggable" with other existing back-end and search technologies. So it will "play nice" with things like Cassandra, HBase, Hadoop, Solr, and ElasticSearch.
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