JDBC Data Source

Spark SQL supports loading data from tables using JDBC.


The JDBC API is the Java™ SE standard for database-independent connectivity between the Java™ programming language and a wide range of databases: SQL or NoSQL databases and tabular data sources like spreadsheets or flat files.

Read more on the JDBC API in JDBC Overview and in the official Java SE 8 documentation in Java JDBC API.

As a Spark developer, you use DataFrameReader.jdbc to load data from an external table using JDBC.

val table = spark.read.jdbc(url, table, properties)

// Alternatively
val table = spark.read.format("jdbc").options(...).load(...)

These one-liners create a DataFrame that represents the distributed process of loading data from a database and a table (with additional properties).

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