class_docstr: The `CheckpointStorage` checkpoints state directly to the JobManager's memory (hence the
  name), but savepoints will be persisted to a file system.
  
  This checkpoint storage is primarily for experimentation, quick local setups, or for streaming
  applications that have very small state: Because it requires checkpoints to go through the
  JobManager's memory, larger state will occupy larger portions of the JobManager's main memory,
  reducing operational stability. For any other setup, the `FileSystemCheckpointStorage`
  should be used. The `FileSystemCheckpointStorage` but checkpoints state directly to files
  rather than to the JobManager's memory, thus supporting larger state sizes and more highly
  available recovery.
  
  **State Size Considerations**
  
  State checkpointing with this checkpoint storage is subject to the following conditions:
  
  - Each individual state must not exceed the configured maximum state size
    (see :func:`get_max_state_size`.
  
  - All state from one task (i.e., the sum of all operator states and keyed states from all
    chained operators of the task) must not exceed what the RPC system supports, which is
    be default < 10 MB. That limit can be configured up, but that is typically not advised.
  
  - The sum of all states in the application times all retained checkpoints must comfortably
    fit into the JobManager's JVM heap space.
  
  **Persistence Guarantees**
  
  For the use cases where the state sizes can be handled by this storage, it does
  guarantee persistence for savepoints, externalized checkpoints (of configured), and checkpoints
  (when high-availability is configured).
  
      **Configuration**
  
  As for all checkpoint storage, this type can either be configured within the application (by
  creating the storage with the respective constructor parameters and setting it on the execution
  environment) or by specifying it in the Flink configuration.
  
  If the storage was specified in the application, it may pick up additional configuration
  parameters from the Flink configuration. For example, if the backend if configured in the
  application without a default savepoint directory, it will pick up a default savepoint
  directory specified in the Flink configuration of the running job/cluster. That behavior is
  implemented via the :func:`configure` method.
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docstr: Gets the maximum size that an individual state can have, as configured in the
  constructor. By default :data:`DEFAULT_MAX_STATE_SIZE` will be used.
docstr_tok: ["Gets","the","maximum","size","that","an","individual","state","can","have",",","as","configured","in","the","constructor",".","By","default",":","data",":","`","DEFAULT_MAX_STATE_SIZE","`","will","be","used","."]
code: def get_max_state_size(self) -> int:
      """
      Gets the maximum size that an individual state can have, as configured in the
      constructor. By default :data:`DEFAULT_MAX_STATE_SIZE` will be used.
      """
      return self._j_checkpoint_storage.getMaxStateSize()
  
imports: from abc import ABCMeta
  from py4j.java_gateway import get_java_class
  from typing import Optional
  from pyflink.java_gateway import get_gateway
label_desc: Use image node_id 3 for calling the JobManagerCheckpointStorage obj's underlying member method code with example usage: obj.get_max_state_size() and returns: self