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remove unused references
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mkdocs/docs/configuration.md

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The In-Memory catalog uses in-memory data-structures to store information.
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This is useful for test, demo, and playground. Do not use in production as the data is not persisted.
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While you can specify In-Memory catalog in the configuration file like this, it is not recommended since information is only persisted for the duration of the function call.
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```yaml
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catalog:
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default:
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type: in_memory
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warehouse: /tmp/warehouse # default warehouse location
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```
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# Concurrency
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PyIceberg uses multiple threads to parallelize operations. The number of workers can be configured by supplying a `max-workers` entry in the configuration file, or by setting the `PYICEBERG_MAX_WORKERS` environment variable. The default value depends on the system hardware and Python version. See [the Python documentation](https://docs.python.org/3/library/concurrent.futures.html#threadpoolexecutor) for more details.

pyiceberg/catalog/__init__.py

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GLUE = "glue"
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DYNAMODB = "dynamodb"
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SQL = "sql"
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IN_MEMORY = "in_memory"
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def load_rest(name: str, conf: Properties) -> Catalog:

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