I am trying to load all my Neo4j DB to the RAM so querying will work faster. When passing the properties map to the graph creation, I do not see the process taking more space in memory as it did before, and it is also not proportional to the space of files at disk. What could be the problem? and how can it be fixed.... Thanks
memory. heap. max_size' in the neo4j configuration (normally in 'conf/neo4j. conf' or, if you are using Neo4j Desktop, found through the user interface) or if you are running an embedded installation increase the heap by using '-Xmx' command line flag, and then restart the database.
Memgraph uses an in-memory storage engine while Neo4j implements a traditional on-disk storage solution.
The size of the available heap memory is an important aspect for the performance of Neo4j. Generally speaking, it is beneficial to configure a large enough heap space to sustain concurrent operations. For many setups, a heap size between 8G and 16G is large enough to run Neo4j reliably.
Neo4j loads all the data lazily, meaning it loads them into memory at first access. The caching option is just about the GC strategy, so when (or if) the references will be GCed. To load the whole graph into memory, your cache type must be strong and you need to traverse the whole graph once. You can do it like this:
// untested java code
import org.neo4j.helpers.collection.IteratorUtil;
// ...
for(Node node : graph.getAllNodes()) {
IteratorUtil.count(node.getRelationships());
}
This way all nodes and relationships will be used once and thus loaded into the cache.
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