# PySpark

Before starting a PySpark session with access to data stored in UltiHash, the user should make sure that the correct packages were downloaded and configure the S3A driver.

```python
pyspark \\
  --packages org.apache.hadoop:hadoop-aws:3.3.4, #Hadoop package check
  com.amazonaws:aws-java-sdk-bundle:1.12.262 \\ #AWS Java SDK package check
  --conf spark.sql.catalog.iceberg=org.apache.iceberg.spark.SparkCatalog \\
  --conf spark.sql.catalog.iceberg.type=hadoop \\
  --conf spark.sql.catalog.iceberg.warehouse=s3a://iceberg \\
  --conf spark.hadoop.fs.s3a.endpoint=http://127.0.0.1:8080 \\ #S3A driver config
  --conf spark.hadoop.fs.s3a.access.key=TEST-USER \\ #S3A driver config
  --conf spark.hadoop.fs.s3a.secret.key=SECRET \\ #S3A driver config
  --conf spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem \\ #S3A driver config
  --conf spark.hadoop.fs.s3a.path.style.access=true \\ #S3A driver config
  --conf spark.hadoop.fs.s3a.connection.ssl.enabled=false \\ #S3A driver config
  --conf spark.driver.bindAddress=127.0.0.1 \\
  --conf spark.driver.host=127.0.0.1
```

> See all information about the integration on GitHub here: <https://github.com/UltiHash/scripts/tree/main/pyspark>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ultihash.io/operations/prebuilt-connections/pyspark.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.