refactor!: rename python package to google-spark-connect (#25)

Release-As: 0.4.0

README.md

@@ -1,4 +1,4 @@
-# Dataproc Spark Connect Client
+# Google Spark Connect Client
 
 A wrapper of the Apache [Spark Connect](https://spark.apache.org/spark-connect/) client with
 additional functionalities that allow applications to communicate with a remote Dataproc
@@ -8,13 +8,13 @@ Spark cluster using the Spark Connect protocol without requiring additional step
 
 .. code-block:: console
 
-      pip install dataproc_spark_connect
+      pip install google_spark_connect
 
 ## Uninstall
 
 .. code-block:: console
 
-      pip uninstall dataproc_spark_connect
+      pip uninstall google_spark_connect
 
 
 ## Setup
@@ -28,12 +28,12 @@ If you are running the client outside of Google Cloud, you must set following en
 
 ## Usage
 
-1. Install the latest version of Dataproc Python client and Dataproc Spark Connect modules:
+1. Install the latest version of Dataproc Python client and Google Spark Connect modules:
 
       .. code-block:: console
 
             pip install google_cloud_dataproc --force-reinstall
-            pip install dataproc_spark_connect --force-reinstall
+            pip install google_spark_connect --force-reinstall
 
 2. Add the required import into your PySpark application or notebook:
 
@@ -85,14 +85,14 @@ This will happen even if you are running the client from a non-GCE instance.
 
       .. code-block:: console
 
-            VERSION=<version> gsutil cp dist/dataproc_spark_connect-${VERSION}-py2.py3-none-any.whl gs://<your_bucket_name>
+            VERSION=<version> gsutil cp dist/google_spark_connect-${VERSION}-py2.py3-none-any.whl gs://<your_bucket_name>
 
 4. Download the new SDK on Vertex, then uninstall the old version and install the new one.
 
       .. code-block:: console
 
             %%bash
             export VERSION=<version>
-            gsutil cp gs://<your_bucket_name>/dataproc_spark_connect-${VERSION}-py2.py3-none-any.whl .
-            yes | pip uninstall dataproc_spark_connect
-            pip install dataproc_spark_connect-${VERSION}-py2.py3-none-any.whl
+            gsutil cp gs://<your_bucket_name>/google_spark_connect-${VERSION}-py2.py3-none-any.whl .
+            yes | pip uninstall google_spark_connect
+            pip install google_spark_connect-${VERSION}-py2.py3-none-any.whl

google/cloud/spark_connect/__init__.py

@@ -11,4 +11,19 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import importlib.metadata
+import warnings
+
 from .session import GoogleSparkSession
+
+old_package_name = "dataproc-spark-connect"
+current_package_name = "google-spark-connect"
+try:
+    importlib.metadata.distribution(old_package_name)
+    warnings.warn(
+        f"Package '{old_package_name}' is already installed in your environment. "
+        f"This might cause conflicts with '{current_package_name}'. "
+        f"Consider uninstalling '{old_package_name}' and only install '{current_package_name}'."
+    )
+except:
+    pass

google/cloud/spark_connect/session.py

@@ -57,7 +57,7 @@ class GoogleSparkSession(SparkSession):
     Examples
     --------
 
-    Create a Spark session with Dataproc Spark Connect.
+    Create a Spark session with Google Spark Connect.
 
     >>> spark = (
     ...     GoogleSparkSession.builder

setup.py

@@ -19,9 +19,9 @@
 
 
 setup(
-    name="dataproc-spark-connect",
+    name="google-spark-connect",
     version="0.2.0",
-    description="Dataproc client library for Spark Connect",
+    description="Google client library for Spark Connect",
     long_description=long_description,
     author="Google LLC",
     url="https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python",