Dear Willi, Thank you for your prompt response and valuable insights regarding our ArangoDB cluster's memory usage concerns. Your suggestions are much appreciated.
We will certainly follow your advice and consider upgrading to a supported version, possibly 3.10.x or 3.11.x, as you recommended. We understand the importance of staying on a supported version to address any potential issues effectively. Regarding your inquiry about ArangoDB's architecture and roles, we too have been seeking more detailed information beyond what is available on the official website. We believe that a deeper understanding of the architecture and roles within ArangoDB would help us better manage and optimize our cluster. If you have any alternative resources or documentation that you could point us to, it would be incredibly helpful. Once again, thank you for your assistance and prompt response. We eagerly await any further guidance you may provide. Best regards, Kevin Wilfried Gösgens <dotheb...@gmail.com> 于2023年11月2日周四 20:53写道： > Hi, > Please note that ArangoDB 3.5 is EOL. > So the only advice I can give you is to try the latest bugfix release of > this release series, 3.5.7, > or upgrade to a supported version 3.10.x better 3.11.x and check back > whether your issue persists. > Cheers, > Willi > > On Wednesday, November 1, 2023 at 4:08:11 AM UTC+1 lcy...@gmail.com wrote: > >> Hi all, >> >> I hope this message finds you well. I am writing to seek assistance and >> insights regarding the memory usage within our ArangoDB cluster. We are >> currently experiencing variations in memory consumption across different >> nodes in our cluster, and we would appreciate your expertise in addressing >> this issue. >> >> Here is an overview of our cluster's configuration and the specific >> concerns we have: >> >> Cluster Overview: >> 1. ArangoDB Version: 3.5.2 >> 1. 6 Nodes in the cluster >> 2. Each collection consists of 12 shards with a replication factor of 2 >> 3. Each node is equipped with 128GB of RAM >> >> Specific Concerns: >> 1. Some nodes are consistently maintaining RAM usage between 80-90%, >> while others remain in the range of 40-50%. We are concerned about the >> disparity in memory consumption among nodes. >> 2. The largest collection contains approximately 150 million documents, >> while the total data volume across all collections in the cluster is around >> 400-450 million documents. >> 3. Interestingly, we noticed that the three nodes serving as Agency roles >> are among the ones with higher memory usage. We are curious if there is any >> correlation between the Agency roles and high memory consumption. >> 4. When inspecting the distribution of primary shards across nodes, we >> observed that nodes with lower memory usage tend to host fewer primary >> shards. We wonder if there is a relationship between the distribution of >> primary shards and memory usage. >> 5. In an attempt to address the memory issues, we manually initiated data >> shard migration from the heavily loaded nodes to the less busy ones. >> However, the results were not as effective as expected. We would appreciate >> any guidance or best practices for optimizing shard migrations within our >> cluster. >> >> We believe that your valuable insights and suggestions can help us better >> understand and address the memory-related challenges we are currently >> facing. Any advice, recommendations, or potential explanations for the >> observed behavior would be greatly appreciated. >> >> Thank you for your time and assistance. We look forward to your response >> and any support you can provide in optimizing our ArangoDB cluster's >> performance. >> >> Best regards, >> Kevin > > -- > You received this message because you are subscribed to the Google Groups > "ArangoDB" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to arangodb+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/arangodb/c8d6e65c-aabd-4dc8-af34-72c0ee319bb6n%40googlegroups.com > <https://groups.google.com/d/msgid/arangodb/c8d6e65c-aabd-4dc8-af34-72c0ee319bb6n%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "ArangoDB" group. To unsubscribe from this group and stop receiving emails from it, send an email to arangodb+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/arangodb/CAD4DnevLLXtOviAdbs84Pu58jippbfRRKPz-dygvL1_Nae7vvQ%40mail.gmail.com.
