Patroni 4.1.5 Documentation

Source: https://patroni.readthedocs.io/en/latest/index.html

If you run Patroni on a system with strict memory limits, for example with vm.overcommit_memory=2 (recommended for PostgreSQL), and use Python 3.11 or newer, you may observe unexpected behavior:

• Patroni appears healthy
• PostgreSQL continues to run
• Patroni REST API becomes unresponsive
• The operating system reports that Patroni is listening on the REST API port
• Patroni logs look normal; however, following messages may appear once: Exception ignored in thread started by: <object repr() failed>, MemoryError
• Kernel logs may contain messages such as not enough memory for the allocation

This behavior is caused by a bug in Python 3.11+. Under strict memory conditions, starting a new thread may hang indefinitely when there is not enough free memory.

Recommended solution

Recent Patroni releases (4.1.1+, 4.0.8+) reduce the impact of this issue by starting all required threads early during startup, before the system is under memory pressure.

Additional recommendations (Linux, glibc)

When running with vm.overcommit_memory=2 (recommended for PostgreSQL), we also recommend starting Patroni with the following environment variables configured:

• MALLOC_ARENA_MAX=1 - reduces the amount of virtual memory allocated by glibc for multi-threaded applications
• PG_MALLOC_ARENA_MAX= - resets the value of MALLOC_ARENA_MAX for PostgreSQL processes started by Patroni.

In addition, you may tune the following Patroni configuration parameters:

• thread_stack_size - stack size used for threads started by Patroni. Lowering this value reduces memory usage of the Patroni process. The default value set by Patroni is 512kB. Increase thread_stack_size if Patroni experiences stack-related crashes; otherwise the default value is sufficient.
• thread_pool_size - size of the thread pool used by Patroni for asynchronous tasks and REST API communication with other members during leader race or failsafe checks. The default value is 5, which is sufficient for three-node clusters.
• restapi.thread_pool_size - size of the thread pool used to process REST API requests. The default value is 5, allowing up to five parallel REST API requests. Note that requests involving SQL queries are effectively serialized because a single database connection is used, so increasing this value typically provides no benefit.

Patroni is a template for high availability (HA) PostgreSQL solutions using Python. For maximum accessibility, Patroni supports a variety of distributed configuration stores like ZooKeeper, etcd, Consul or Kubernetes. Database engineers, DBAs, DevOps engineers, and SREs who are looking to quickly deploy HA PostgreSQL in datacenters — or anywhere else — will hopefully find it useful.

We call Patroni a “template” because it is far from being a one-size-fits-all or plug-and-play replication system. It will have its own caveats. Use wisely. There are many ways to run high availability with PostgreSQL; for a list, see the PostgreSQL Documentation.

Currently supported PostgreSQL versions: 9.3 to 18.

Note to Citus users: Starting from 3.0 Patroni nicely integrates with the Citus database extension to Postgres. Please check the Citus support page in the Patroni documentation for more info about how to use Patroni high availability together with a Citus distributed cluster.

Note to Kubernetes users: Patroni can run natively on top of Kubernetes. Take a look at the Kubernetes chapter of the Patroni documentation.