andormarkus commented on issue #2325:
URL:
https://github.com/apache/iceberg-python/issues/2325#issuecomment-3215615700
I have implemented manual clearing of the `_manifests` cache but the memory
leak persists in AWS Lambda.
**Environment:** AWS Lambda, PyIceberg with Glue catalog
**Cache Clearing Implementation:**
```python
def cleanup(self):
"""Clear PyIceberg cachetools LRUCache to prevent memory leaks"""
try:
# Clear the specific cachetools LRUCache that's causing the memory
leak
import pyiceberg.manifest as manifest_module
# The _manifests function has @cached(cache=LRUCache(maxsize=128))
if hasattr(manifest_module, '_manifests'):
manifests_func = getattr(manifest_module, '_manifests')
# cachetools @cached decorator stores cache in the function
if hasattr(manifests_func, 'cache'):
cache_size = len(manifests_func.cache)
manifests_func.cache.clear()
logger.info(f"Cleared PyIceberg manifest cache ({cache_size}
entries)")
except Exception as e:
logger.warning(f"Could not clear PyIceberg cache: {e}")
# Clean up objects
if hasattr(self, 'catalog'):
del self.catalog
if hasattr(self, 'client'):
del self.client
gc.collect()
```
**Results:** Memory still grows from 1438MB → 1858MB across invocations. The
manifest cache clearing had minimal impact.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
