# SparkSession

The entry point into all functionality in Spark SQL is the SparkSession class. If you use spark-shell, SparkSession is automatically created for you.

Otherwise, you will need to create SparkSesison:

```
import org.apache.spark.sql.SparkSession
val spark = SparkSession
    .builder
    .appName("SQL example")
    .master("local[*]")
    .config("spark.sql.warehouse.dir", "file:///d:/tmp")
    .getOrCreate()
```

SparkSession is required for runing Spark SQL query.


---

# 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://george-jen.gitbook.io/data-science-and-apache-spark/sparksession.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.
