> For the complete documentation index, see [llms.txt](https://docs.zingg.ai/zingg/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zingg.ai/zingg/connect-your-data/connect-relational-databases.md).

# Connect Relational Databases

Connect Zingg to MySQL, PostgreSQL, SQL Server, DB2, MariaDB, and Oracle via JDBC.

{% hint style="success" icon="right-long" %}
New to Zingg pipes? Understand how pipes work before configuring them - [Pipes and data connections](/zingg/connect-your-data/pipes-and-data-connections.md).
{% endhint %}

Zingg connects to relational databases using the JDBC connector. This covers any JDBC-compatible database including MySQL, PostgreSQL, SQL Server, DB2, MariaDB, and Oracle. Available in all editions.

Download the JDBC driver for your database and add to `zingg.conf`.

```
spark.jars=<location of jdbc driver jar>
```

{% tabs %}
{% tab title="PostgreSQL" %}

### Python API

```python
from zingg.client import*
from zingg.pipes import*

jdbcPipe =
Pipe("pgInput", "jdbc")
jdbcPipe.addProperty("url", "jdbc:postgresql://localhost:5432/dbname")
jdbcPipe.addProperty("dbtable", "your_table")
jdbcPipe.addProperty("driver", "org.postgresql.Driver")
jdbcPipe.addProperty("user", "postgres")
jdbcPipe.addProperty("password", "your_password")
args.setData(jdbcPipe)
```

### JSON Config

```json
{
  "data" : [ {
    "name" : "test",
    "format" : "jdbc",
    "props" : {
      "url" : "jdbc:postgresql://localhost:5432/<db_name>",
      "dbtable" : "<testData>",
      "driver" : "org.postgresql.Driver",
      "user" : "<postgres>",
      "password" : "<postgres>"
    }
  } ]
}
```

{% endtab %}

{% tab title="MySQL" %}

### Python API

```python
from zingg.client import*
from zingg.pipes import*

jdbcPipe = Pipe("mysqlInput", "jdbc")
jdbcPipe.addProperty("url", "jdbc:mysql://localhost:3306/<db_name>")
jdbcPipe.addProperty("dbtable", "testData")
jdbcPipe.addProperty("driver", "com.mysql.cj.jdbc.Driver")
jdbcPipe.addProperty("user", "root")
jdbcPipe.addProperty("password", "password")
args.setData(jdbcPipe)
```

### JSON Config

```json
{
  "data" : [ {
    "name" : "test",
    "format" : "jdbc",
    "props" : {
      "url" : "jdbc:mysql://localhost:3306/<db_name>",
      "dbtable" : "testData",
      "driver" : "com.mysql.cj.jdbc.Driver",
      "user" : "root",
      "password" : "password"
    }
  } ]
}
```

{% endtab %}
{% endtabs %}

<details>

<summary><strong>SQL Server, DB2, MariaDB, Oracle and other JDBC databases</strong></summary>

For any JDBC-compatible database, use the same pattern as PostgreSQL. Change two things only:

1. The url format for that database
2. The driver class name

**Common driver class names and URL formats:**

* **SQL Server:**
  * **url**: `jdbc:sqlserver://host:1433;databaseName=dbname`
  * **driver**: `com.microsoft.sqlserver.jdbc.SQLServerDriver`
* **MySQL:**
  * **url**: `jdbc:mysql://host:3306/dbname`
  * **driver**: `com.mysql.cj.jdbc.Driver`
* **DB2:**
  * **url**: `jdbc:db2://host:50000/dbname`
  * **driver**: `com.ibm.db2.jcc.DB2Driver`
* **MariaDB:**
  * **url**: `jdbc:mariadb://host:3306/dbname`
  * **driver**: `org.mariadb.jdbc.Driver`
* **Oracle:**
  * **url**: `jdbc:oracle:thin:@host:1521:dbname`
  * **driver**: `oracle.jdbc.OracleDriver`

Download the JDBC driver JAR from the database vendor and add it to `spark.jars`\
in `zingg.conf` before running.

</details>

{% hint style="success" icon="right-long" %}
**Read more:**

* For NoSQL databases - [Connect NoSQL databases](/zingg/connect-your-data/connect-nosql-databases.md)
* For cloud warehouses - [Connect Cloud Warehouses](/zingg/connect-your-data/connect-cloud-warehouses.md)
  {% endhint %}


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