pyspark-vector-files 0.2.5
Read vector files into a Spark DataFrame with geometry encoded as WKB.
License: MIT
Requires Python: >=3.8,<3.9

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# PySpark Vector Files

Read [vector files](https://gdal.org/drivers/vector/index.html) into a [Spark DataFrame](https://spark.apache.org/docs/latest/sql-programming-guide.html#datasets-and-dataframes) with geometry encoded as [Well Known Binary (WKB)](https://libgeos.org/specifications/wkb/).

Full documentation is available [here](https://defra-data-science-centre-of-excellence.github.io/pyspark-vector-files/).

## Requirements

This library was developed using [Databricks Runtime 10.4 LTS](https://docs.databricks.com/release-notes/runtime/10.4.html) and uses the versions of `python`, `pandas` and `pyspark` that come pre-installed on that runtime. However, it also requires `GDAL 3.4.3` as this is the most recent version of `GDAL` available from [ubuntugis-unstable](https://launchpad.net/~ubuntugis/+archive/ubuntu/ubuntugis-unstable) as of 2022-08-11.

You can install `GDAL` on your cluster using an [init script](https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts). See [here](config/install_gdal.sh) for an example.

## Install `pyspark-vector-files`

### Within a Databricks notebook

```sh
%pip install pyspark-vector-files
```

### From the command line

```sh
python -m pip install pyspark-vector-files
```

## Quick start

Read the first layer from a file or files with given extension into a single Spark DataFrame:

```python
from pyspark_vector_files import read_vector_files

sdf = read_vector_files(
    path="/path/to/files/",
    suffix=".ext",
)
```

More examples are available [here](https://defra-data-science-centre-of-excellence.github.io/pyspark-vector-files/usage.html).

## Local development

To ensure compatibility with [Databricks Runtime 10.4 LTS](https://docs.databricks.com/release-notes/runtime/10.4.html), this package was developed on a Linux machine running the `Ubuntu 20.04 LTS` operating system using `Python3.8.10`, `GDAL 3.4.3`, and `spark 3.2.1.`.

### Install `Python 3.8.10` using [pyenv](https://github.com/pyenv/pyenv)

See the `pyenv-installer`'s [Installation / Update / Uninstallation](https://github.com/pyenv/pyenv-installer#installation--update--uninstallation) instructions.

Install Python 3.8.10 globally:

```sh
pyenv install 3.8.10
```

Then install it locally in the repository you're using:

```sh
pyenv local 3.8.10
```

### Install `GDAL 3.4.3`

Add the [UbuntuGIS unstable Private Package Archive (PPA)](https://launchpad.net/~ubuntugis/+archive/ubuntu/ubuntugis-unstable)
and update your package list:

```sh
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable \
    && sudo apt-get update
```

Install `gdal 3.4.3`, I found I also had to install python3-gdal (even though
I'm going to use poetry to install it in a virtual environment later) to
avoid version conflicts:

```sh
sudo apt-get install -y gdal-bin=3.4.3+dfsg-1~focal0 \
    libgdal-dev=3.4.3+dfsg-1~focal0 \
    python3-gdal=3.4.3+dfsg-1~focal0
```

Verify the installation:

```sh
ogrinfo --version
# GDAL 3.4.3, released 2022/04/22
```

### Install `poetry 1.1.13`

See poetry's [osx / linux / bashonwindows install instructions](https://python-poetry.org/docs/#osx--linux--bashonwindows-install-instructions)

### Clone this repository

```sh
git clone https://github.com/Defra-Data-Science-Centre-of-Excellence/pyspark_vector_files.git
```

### Install dependencies using `poetry`

```sh
poetry install
```