How to use Pandas API on Spark (Glue) - ModuleNotFoundError: No module named 'pyspark_pandas'

Question

On AWS Glue 2.0, I would like to try out the Pandas API on Spark.
I follow this tutorial: https://spark.apache.org/docs/3.2.1/api/python/getting_started/quickstart_ps.html

```
    import pandas as pd
    import numpy as np
    import pyspark.pandas as ps
    from pyspark.sql import SparkSession

s = ps.Series([1, 3, 5, np.nan, 6, 8])
```
I followed instructions how to include the library pyspark_pandas https://pypi.org/project/pyspark-pandas/ in a .zip File and copied it to an S3 bucket, and added under AWS Glue *Job Details* under *Python library path*
It does not matter if I include the directory *pyspark_pandas* in the root folder of the *pyspark_pandas.zip* file, or if the files are already in the root folder of the .zip file, it does not change anything.

Can please someone support how I can achieve to import pyspark.pandas in a Glue job, or perhaps also tell me that it is nonsense what I am trying to do?

Answer

Pandas API on Spark was introduced in Spark 3.2. You'll need to execute your job using [AWS Glue 4.0](https://docs.aws.amazon.com/glue/latest/dg/release-notes.html), which comes with Spark 3.3.0.

Steps:
1. Create a new Job using Spark script editor -- Note that AWS Glue interactive sessions is not yet available for AWS Glue 4.0
2. Select "Create a new script with boilerplate code" (default)
3. After the line `job.init()`, write your code. For example:

```python
import pyspark.pandas as ps
import numpy as np

s = ps.Series([1, 3, 5, np.nan, 6, 8])
```

Answer

Take a look at this page : 
https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-libraries.html#glue20-modules-provided

If you have a custom .py file which you are putting into a zip and uploading to Glue Job script locations , be sure to have the right path .

How to use Pandas API on Spark (Glue) - ModuleNotFoundError: No module named 'pyspark_pandas'

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