[docs] Move file-based metastore doc to installation/deployment.rst

presto-docs/src/main/sphinx/connector.rst

@@ -17,7 +17,6 @@ from different data sources.
     connector/deltalake
     connector/druid
     connector/elasticsearch
-    connector/file-based-metastore
     connector/googlesheets
     connector/hana
     connector/hive

presto-docs/src/main/sphinx/installation/deployment.rst

@@ -418,6 +418,70 @@ Run the Presto server:
     ./bin/launcher start
 
 
+File-Based Metastore
+--------------------
+
+For testing or development purposes, Presto can be configured to use a local 
+filesystem directory as a Hive Metastore. 
+
+The file-based metastore works only with the following connectors: 
+
+* :doc:`/connector/deltalake`
+* :doc:`/connector/hive`
+* :doc:`/connector/hudi`
+* :doc:`/connector/iceberg`
+
+Configuring a File-Based Metastore
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+1. In ``etc/catalog/``, find the catalog properties file for the supported 
+   connector. 
+
+2. In the catalog properties file, set the following properties:
+
+.. code-block:: none
+
+    hive.metastore=file
+    hive.metastore.catalog.dir=file:///<catalog-dir>
+
+Replace ``<catalog-dir>`` in the example with the path to a directory on an 
+accessible filesystem.
+
+Using a File-Based Warehouse
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+For this example, assume the Hive connector is being used, and the properties 
+in the Hive connector catalog file are set to the following:
+
+.. code-block:: none
+
+    connector.name=hive
+    hive.metastore=file
+    hive.metastore.catalog.dir=file:///data/hive_data/
+
+Create a schema
+
+.. code-block:: none
+
+    CREATE SCHEMA hive.warehouse;
+
+This query creates a directory ``warehouse`` in the directory set for 
+``hive.metastore.catalog.dir``, so the path for the ``warehouse`` schema would be 
+``/data/hive_data/warehouse``.
+
+Create a table with any connector-supported file formats. For example, if the 
+Hive connector is being configured: 
+
+.. code-block:: none
+
+    CREATE TABLE hive.warehouse.orders_csv("order_name" varchar, "quantity" varchar) WITH (format = 'CSV');
+    CREATE TABLE hive.warehouse.orders_parquet("order_name" varchar, "quantity" int) WITH (format = 'PARQUET');
+
+These queries create folders as ``/data/hive_data/warehouse/orders_csv`` and 
+``/data/hive_data/warehouse/orders_parquet``. Users can insert and query 
+from these tables.
+
+
 An Example Deployment with Docker
 ---------------------------------