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https://issues.apache.org/jira/browse/BEAM-5428?focusedWorklogId=306400&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-306400
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ASF GitHub Bot logged work on BEAM-5428:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Sep/19 16:07
            Start Date: 04/Sep/19 16:07
    Worklog Time Spent: 10m 
      Work Description: mxm commented on pull request #9418: [BEAM-5428] 
Implement cross-bundle user state caching in the Python SDK
URL: https://github.com/apache/beam/pull/9418#discussion_r320845993
 
 

 ##########
 File path: sdks/python/apache_beam/runners/worker/sdk_worker.py
 ##########
 @@ -620,6 +628,106 @@ def _next_id(self):
     return str(self._last_id)
 
 
+class CachingMaterializingStateHandler(object):
+  """ A State handler which retrieves and caches state. """
+
+  def __init__(self, global_state_cache, underlying_state):
+    self._underlying = underlying_state
+    self._state_cache = global_state_cache
+    self._context = threading.local()
+
+  @contextlib.contextmanager
+  def process_instruction_id(self, bundle_id, cache_tokens):
+    if getattr(self._context, 'cache_token', None) is not None:
+      raise RuntimeError(
+          'Cache tokens already set to %s' % self._context.cache_token)
+    # TODO Also handle cache tokens for side input, if present
+    user_state_cache_token = None
+    for cache_token_struct in cache_tokens:
+      if cache_token_struct.HasField("user_state"):
+        # There should only be one user state token present
+        assert not user_state_cache_token
+        user_state_cache_token = cache_token_struct.token
+    try:
+      self._context.cache_token = user_state_cache_token
+      with self._underlying.process_instruction_id(bundle_id):
+        yield
+    finally:
+      self._context.cache_token = None
+
+  def blocking_get(self, state_key, coder, is_cached=False):
+    if not self._should_be_cached(is_cached):
+      # no cache / tokens, can't do a lookup/store in the cache
+      return self._materialize_iter(state_key, coder)
+    # Cache lookup
+    cache_state_key = self._convert_to_cache_key(state_key)
+    cached_value = self._state_cache.get(cache_state_key,
+                                         self._context.cache_token)
+    if cached_value is None:
+      # Cache miss, need to retrieve from the Runner
+      materialized = cached_value = []
 
 Review comment:
   For the cache to work effectively, we want to cache the whole value. Note 
that if the cache is disabled, we still retain the old behavior of only 
materializing a page at a time.
   
   Yes, it has the drawback of the value to fit into memory. The design 
currently doesn't do memory estimation but keeps a fixed upper limit of items. 
If we move to a memory estimation, then also reflecting this here would make 
sense.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 306400)
    Time Spent: 15h  (was: 14h 50m)

> Implement cross-bundle state caching.
> -------------------------------------
>
>                 Key: BEAM-5428
>                 URL: https://issues.apache.org/jira/browse/BEAM-5428
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-harness
>            Reporter: Robert Bradshaw
>            Assignee: Rakesh Kumar
>            Priority: Major
>          Time Spent: 15h
>  Remaining Estimate: 0h
>
> Tech spec: 
> [https://docs.google.com/document/d/1BOozW0bzBuz4oHJEuZNDOHdzaV5Y56ix58Ozrqm2jFg/edit#heading=h.7ghoih5aig5m]
> Relevant document: 
> [https://docs.google.com/document/d/1ltVqIW0XxUXI6grp17TgeyIybk3-nDF8a0-Nqw-s9mY/edit#|https://docs.google.com/document/d/1ltVqIW0XxUXI6grp17TgeyIybk3-nDF8a0-Nqw-s9mY/edit]
> Mailing list link: 
> [https://lists.apache.org/thread.html/caa8d9bc6ca871d13de2c5e6ba07fdc76f85d26497d95d90893aa1f6@%3Cdev.beam.apache.org%3E]



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