[HOPSWORKS-2206] HSFS profile to install with and without Hive dependencies

docs/integrations/python.md

@@ -30,9 +30,13 @@ Create a file called `featurestore.key` in your designated Python environment an
 To be able to access the Hopsworks Feature Store, the `HSFS` Python library needs to be installed in the environment from which you want to connect to the Feature Store. You can install the library through pip. We recommend using a Python environment manager such as *virtualenv* or *conda*.
 
 ```
-pip install hsfs~=[HOPSWORKS_VERSION]
+pip install hsfs[hive]~=[HOPSWORKS_VERSION]
 ```
 
+!!! attention "Hive Dependencies"
+
+    By default, `HSFS` assumes Spark/EMR is used as execution engine and therefore Hive dependencies are not installed. Hence, on a local Python evnironment, if you are planning to use a regular Python Kernel **without Spark/EMR**, make sure to install the **"hive"** extra dependencies (`hsfs[hive]`).
+
 !!! attention "Matching Hopsworks version"
     The **major version of `HSFS`** needs to match the **major version of Hopsworks**.
 

docs/integrations/sagemaker.md

@@ -141,9 +141,13 @@ You have two options to make your API key accessible from SageMaker:
 To be able to access the Hopsworks Feature Store, the `HSFS` Python library needs to be installed. One way of achieving this is by opening a Python notebook in SageMaker and installing the `HSFS` with a magic command and pip:
 
 ```
-!pip install hsfs~=[HOPSWORKS_VERSION]
+!pip install hsfs[hive]~=[HOPSWORKS_VERSION]
 ```
 
+!!! attention "Hive Dependencies"
+
+    By default, `HSFS` assumes Spark/EMR is used as execution engine and therefore Hive dependencies are not installed. Hence, on AWS SageMaker, if you are planning to use a regular Python Kernel **without Spark/EMR**, make sure to install the **"hive"** extra dependencies (`hsfs[hive]`).
+
 !!! attention "Matching Hopsworks version"
     The **major version of `HSFS`** needs to match the **major version of Hopsworks**.
 

python/hsfs/engine/__init__.py

@@ -14,7 +14,8 @@
 #   limitations under the License.
 #
 
-from hsfs.engine import spark, hive
+from hsfs.engine import spark
+from hsfs.client import exceptions
 
 _engine = None
 
@@ -25,6 +26,14 @@ def init(engine_type, host=None, cert_folder=None, project=None, cert_key=None):
         if engine_type == "spark":
             _engine = spark.Engine()
         elif engine_type == "hive":
+            try:
+                from hsfs.engine import hive
+            except ImportError:
+                raise exceptions.FeatureStoreException(
+                    "Trying to instantiate Hive as engine, but 'hive' extras are "
+                    "missing in HSFS installation. Install with `pip install "
+                    "hsfs[hive]`."
+                )
             _engine = hive.Engine(host, cert_folder, project, cert_key)
 
 

python/setup.py

@@ -22,10 +22,7 @@ def read(fname):
         "boto3",
         "pandas",
         "numpy",
-        "pyhopshive[thrift]",
-        "PyMySQL",
         "pyjks",
-        "sqlalchemy",
         "mock",
     ],
     extras_require={
@@ -37,7 +34,8 @@ def read(fname):
             "mkdocs",
             "mkdocs-material",
             "keras-autodoc",
-            "markdown-include"]
+            "markdown-include"],
+        "hive": ["pyhopshive[thrift]", "sqlalchemy", "PyMySQL"],
     },
     author="Logical Clocks AB",
     author_email="moritz@logicalclocks.com",