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How to install dbt-spark-cde via python pip




dbt-spark-cde - The CDE API based Cloudera Spark adapter plugin for dbt, it belongs to Classifiers:

- Operating System :: MacOS
- Operating System :: MacOS :: MacOS X
- Operating System :: Microsoft :: Windows
- Operating System :: POSIX :: Linux

When you know about this project and you want to new install dbt-spark-cde to support your project or you get trouble as ModuleNotFoundError: No module named "dbt-spark-cde" or ImportError: cannot import name "dbt-spark-cde" in your project, let follow this tutorial to install dbt-spark-cde



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_dbt-spark-cde_env

- Active the virtual environment

test_dbt-spark-cde_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_dbt-spark-cde_env

- Active the virtual environment

source test_dbt-spark-cde_env/bin/active


Step 2: OK, now, let flow below content to start the installation dbt-spark-cde

To install dbt-spark-cde on Windows(CMD):

py -m pip install dbt-spark-cde

To install dbt-spark-cde on Unix/macOs:

pip install dbt-spark-cde


Step 3: If you want to install a specific dbt-spark-cde version, add ==<dbt-spark-cde version> to the end command line

Example:

pip install dbt-spark-cde==1.1.0


Please see the version list below table:

VersionReleased dateCommand
dbt-spark-cde 1.1.02022-07-21T16:37:31Windows:

py -m pip install dbt-spark-cde==1.1.0

Unix/macOs:

pip install dbt-spark-cde==1.1.0


Step 4: Otherwise, you can install dbt-spark-cde from local archives:

Download the distribution file from dbt-spark-cde-1.1.0.tar.gz or the specific dbt-spark-cde version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_dbt-spark-cde_downloaded_file>

On Unix/macOs:

pip install <path_to_dbt-spark-cde_downloaded_file>


List distribution:

- dbt-spark-cde-1.1.0.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.0-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.1.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.1-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.2.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.2-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.3.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.3-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.4.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.4-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.5.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.5-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.6.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.6-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.1.7.tar.gz (python version >=3.7)
- dbt_spark_cde-1.1.7-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.2.0.tar.gz (python version >=3.7)
- dbt_spark_cde-1.2.0-py3-none-any.whl (python version >=3.7)
- dbt-spark-cde-1.3.0.tar.gz (python version >=3.7)
- dbt_spark_cde-1.3.0-py3-none-any.whl (python version >=3.7)


Project link:

- Homepage