This document describes concerns and limitations to be considered when allocating resources for your a9s MongoDB plans.
The secondary nodes replicate data from the primary. The primary node stores data that has not been replicated yet on oplog on disk. For this reason, disk usage can grow faster than expected until the missing secondary replicates the data.
The maximum size of the oplog is
5% of the free disk with a lower bound of
990MB and upper
50GB, calculated when the MongoDB process starts. However, new versions can grow the oplog
more than this to avoid deleting the majority commit point.
E.g., With a
5GB persistent disk for a9s MongoDB, the oplog can fill up to
990MB of the storage
in the event of a disaster on a secondary node.
The oplog tries to hold 24h of operations until the secondary node comes up after that secondary node needs to be manually cleaned up and brought back to the cluster.
Every a9s MongoDB instance configures the MongoDB process with
maxIncomingConnections: 65536, and
the MongoDB process represents each connection with a file descriptor. This means that the maximum
number of open files has a direct influence on the maxIncomingConnections. a9s MongoDB instances
configure the maximum number of open files of
ulimit -n 64000) and a maximum of
ulimit -u 32000) processes.
Both values are set with
ulimit and can interfere with MongoDB behavior when using a large number
of connections. Keep in mind that the number of open connections has an impact on memory consumption.
Memory Cache Limits
By default, MongoDB uses up to
max[50% of (total_memory - 1GB), 256MB]. However,
WiredTiger also uses the filesystem cache, which
can use all the available free memory.
We have released a9s MongoDB 5.0 SSPL as
release candidate because there is a bug
in MongoDB that prohibits successful restores of backups.
We implemented a workaround that makes backups and restores possible. It creates in the database
dummy a role named
dummyRole. This role has read-only access to the
This role gets created after the first successful deployment of a single or cluster instance.