You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on May 23, 2019. It is now read-only.
I am using transactions to populate a graph and I am committing this insertions in batches.
The performance of my insertions starts at ~ 1.000 insertions per 17 seconds and then decreases until it reaches ~ 1.000 insertions per 170 seconds and stabilize. (10-fold loss of performance)
I thought it was a problem of my graph getting bigger, but once I quit my import process and start again, it starts running faster again and then the performance drop happens after a while.
I don't see how this could be related to the Neo4j backend, so I think that there is something going wrong on R or RNeo4j side.
Have someone gone through this? What are the debugging or verbose options I have on RNeo4j side?
Thanks in advance!
The text was updated successfully, but these errors were encountered:
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Guys,
I am using transactions to populate a graph and I am committing this insertions in batches.
The performance of my insertions starts at ~ 1.000 insertions per 17 seconds and then decreases until it reaches ~ 1.000 insertions per 170 seconds and stabilize. (10-fold loss of performance)
I thought it was a problem of my graph getting bigger, but once I quit my import process and start again, it starts running faster again and then the performance drop happens after a while.
I don't see how this could be related to the Neo4j backend, so I think that there is something going wrong on R or RNeo4j side.
Have someone gone through this? What are the debugging or verbose options I have on RNeo4j side?
Thanks in advance!
The text was updated successfully, but these errors were encountered: