imbajin commented on issue #3163: URL: https://github.com/apache/hugegraph/issues/3163#issuecomment-5326085143
> We currently have around 100 graphs, each with a scale of approximately 500,000 nodes and 1 million edges. When we start the HugeGraph service using the RocksDB backend, it consumes 55 GB of memory; this causes subsequent Gremlin queries to lag severely, rendering the system virtually unusable. What should we do? @cichengzi some suggestions: 1. use the latest 1.8.0 (master) branch 2. enable the memory management 3. use `jemalloc` instead of `ptmalloc` 4. use ToplingDB (RocksDB Plus) to get perf improvement (see refers) 5. use 1.8.0 distributed mode Refer: - https://hugegraph.apache.org/blog/2025/10/09/toplingdb-quick-start/ - https://github.com/hugegraph/hugegraph/tree/toplingdb (will be merged into master soon, welcome to test it) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
