To use SQL query in Spark notebook, which magic command should be used?

The use of the %%sql magic command in a Spark notebook allows you to execute SQL queries directly within the notebook environment. This magic command is specifically designed to interpret the code that follows it as SQL syntax, enabling users to leverage the full power of SQL while interacting with data in Spark.

When you write code following the %%sql command, the notebook understands that it needs to treat the upcoming lines as SQL commands, facilitating operations such as querying data frames or tables that may reside in Spark's distributed environment.

In contrast, the other commands serve different purposes:

• The %%spark command is typically used for executing generic Spark commands but does not specifically indicate SQL.
• The %%pyspark command allows you to run PySpark code, which is Python code for Apache Spark, rather than SQL.
• The %%dataframe command implies interactions with Spark data frames specifically and does not focus on executing SQL queries.

Thus, the %%sql command is the most appropriate choice for directly running SQL queries in a Spark notebook context.