AWS lambda and Java concurrency

Question

It is known that AWS lambda may reuse early created objects of handlers, and it really does it (see FAQ):

Q: Will AWS Lambda reuse fu

Answer 1

Taking advantage of the execution context reuse is definitely a practice when working with AWS Lambda (See AWS Lambda Best Practices). But this does not apply to concurrent executions as for concurrent execution a new container is created and thus new context. In short, for concurrent executions if one handler changes the value other won't get the new value.

Answer 2

May AWS lambda use same object concurrently for different calls?

Can instances of handlers of AWS lambda share common heap (memory) or not?

A strong, definite NO. Instances of handlers of AWS Lambda cannot even share files (in /tmp).

An AWS Lambda container may not be reused for two or more concurrently existing invocations of a Lambda function, since that would break the isolation requirement:

Q: How does AWS Lambda isolate my code?

Each AWS Lambda function runs in its own isolated environment, with its own resources and file system view.

The section "How Does AWS Lambda Run My Code? The Container Model" in the official description of how lambda functions work states:

After a Lambda function is executed, AWS Lambda maintains the container for some time in anticipation of another Lambda function invocation. In effect, the service freezes the container after a Lambda function completes, and thaws the container for reuse, if AWS Lambda chooses to reuse the container when the Lambda function is invoked again. This container reuse approach has the following implications:

• Any declarations in your Lambda function code remains initialized, providing additional optimization when the function is invoked again. For example, if your Lambda function establishes a database connection, instead of reestablishing the connection, the original connection is used in subsequent invocations. You can add logic in your code to check if a connection already exists before creating one.

• Each container provides some disk space in the /tmp directory. The directory content remains when the container is frozen, providing transient cache that can be used for multiple invocations. You can add extra code to check if the cache has the data that you stored.

• Background processes or callbacks initiated by your Lambda function that did not complete when the function ended resume if AWS Lambda chooses to reuse the container. You should make sure any background processes or callbacks (in case of Node.js) in your code are complete before the code exits.

As you can see, there is absolutely no warning about race conditions between multiple concurrent invocations of a Lambda function when trying to take advantage of container reuse. The only note is "don't rely on it!".