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Rename PyPI distribution to google-cloud-spark-connect #190

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Merged
ajma merged 3 commits into from
Sep 3, 2026
Merged

Rename PyPI distribution to google-cloud-spark-connect #190

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50d639e
fix: rename PyPI distribution to google-spark-connect
ajma Sep 2, 2026
74a051d
fix: publish first release under google-spark-connect as 1.0.0
ajma Sep 2, 2026
d8384ed
fix: rename PyPI distribution to google-cloud-spark-connect
ajma Sep 2, 2026
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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -8,13 +8,13 @@ requiring additional steps.
## Install

```sh
pip install google-cloud-managed-spark-connect
pip install google-cloud-spark-connect
```

## Uninstall

```sh
pip uninstall google-cloud-managed-spark-connect
pip uninstall google-cloud-spark-connect
```

## Setup
Expand All @@ -39,7 +39,7 @@ in your code using the builder API:
1. Install the latest version of Managed Spark Connect:

```sh
pip install -U google-cloud-managed-spark-connect
pip install -U google-cloud-spark-connect
```

2. Add the required imports into your PySpark application or notebook and start
Expand Down Expand Up @@ -127,7 +127,7 @@ The package supports the [sparksql-magic](https://github.com/cryeo/sparksql-magi

**Installation**: To use magic commands, install the required dependencies manually:
```bash
pip install google-cloud-managed-spark-connect
pip install google-cloud-spark-connect
pip install IPython sparksql-magic
```

Expand Down Expand Up @@ -165,12 +165,12 @@ See [sparksql-magic](https://github.com/cryeo/sparksql-magic) for more examples.

**Note**: Magic commands are optional. If you only need basic ManagedSparkSession functionality without Jupyter magic support, install only the base package:
```bash
pip install google-cloud-managed-spark-connect
pip install google-cloud-spark-connect
```

## Migrating from dataproc-spark-connect

The `dataproc-spark-connect` package has been renamed to `google-cloud-managed-spark-connect`. This is a breaking change with no compatibility shims — you need to update your code in the following places when you switch to the new package.
The `dataproc-spark-connect` package has been renamed to `google-cloud-spark-connect`. This is a breaking change with no compatibility shims — you need to update your code in the following places when you switch to the new package.

### 1. Update the package you install

Expand All @@ -179,7 +179,7 @@ The `dataproc-spark-connect` package has been renamed to `google-cloud-managed-s
pip install dataproc-spark-connect

# After
pip install google-cloud-managed-spark-connect
pip install google-cloud-spark-connect
```

### 2. Update your imports and session class
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2 changes: 1 addition & 1 deletion google/cloud/managed_spark_connect/__init__.py
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Expand Up @@ -17,7 +17,7 @@
from .session import ManagedSparkSession

old_package_names = ["google-spark-connect", "dataproc-spark-connect"]
current_package_name = "google-cloud-managed-spark-connect"
current_package_name = "google-cloud-spark-connect"
for old_package_name in old_package_names:
try:
importlib.metadata.distribution(old_package_name)
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4 changes: 2 additions & 2 deletions setup.py
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Expand Up @@ -19,8 +19,8 @@


setup(
name="google-cloud-managed-spark-connect",
version="1.1.0",
name="google-cloud-spark-connect",
version="1.0.0",
description="Managed Spark client library for Spark Connect",
long_description=long_description,
long_description_content_type="text/markdown",
Expand Down
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