Chapter 173. JDBC Component

jdbc:dataSourceName[?options]

This component only supports producer endpoints.

You can append query options to the URI in the following format, ?option=value&option=value&…​

The JDBC component supports 2 options, which are listed below.

The JDBC endpoint is configured using URI syntax:

jdbc:dataSourceName

with the following path and query parameters:

The component supports 3 options, which are listed below.

By default the result is returned in the OUT body as an ArrayList<HashMap<String, Object>>. The List object contains the list of rows and the Map objects contain each row with the String key as the column name. You can use the option outputType to control the result.

Note: This component fetches ResultSetMetaData to be able to return the column name as the key in the Map.

Available as of Camel 2.10

If you insert data using SQL INSERT, then the RDBMS may support auto generated keys. You can instruct the JDBC producer to return the generated keys in headers.
To do that set the header CamelRetrieveGeneratedKeys=true. Then the generated keys will be provided as headers with the keys listed in the table above.

You can see more details in this unit test.

Using generated keys does not work with together with named parameters.

Available as of Camel 2.12

In the given route below, we want to get all the projects from the projects table. Notice the SQL query has 2 named parameters, :?lic and :?min.
Camel will then lookup these parameters from the message headers. Notice in the example above we set two headers with constant value
for the named parameters:

  from("direct:projects")
     .setHeader("lic", constant("ASF"))
     .setHeader("min", constant(123))
     .setBody("select * from projects where license = :?lic and id > :?min order by id")
     .to("jdbc:myDataSource?useHeadersAsParameters=true")

You can also store the header values in a java.util.Map and store the map on the headers with the key CamelJdbcParameters.

In the following example, we fetch the rows from the customer table.

First we register our datasource in the Camel registry as testdb:

Then we configure a route that routes to the JDBC component, so the SQL will be executed. Note how we refer to the testdb datasource that was bound in the previous step:

Or you can create a DataSource in Spring like this:

We create an endpoint, add the SQL query to the body of the IN message, and then send the exchange. The result of the query is returned in the OUT body:

If you want to work on the rows one by one instead of the entire ResultSet at once you need to use the Splitter EIP such as:

from("direct:hello")
// here we split the data from the testdb into new messages one by one
// so the mock endpoint will receive a message per row in the table
// the StreamList option allows to stream the result of the query without creating a List of rows
// and notice we also enable streaming mode on the splitter
.to("jdbc:testdb?outputType=StreamList")
  .split(body()).streaming()
  .to("mock:result");

If we want to poll a database using the JDBC component, we need to combine it with a polling scheduler such as the Timer or Quartz etc. In the following example, we retrieve data from the database every 60 seconds:

from("timer://foo?period=60000")
  .setBody(constant("select * from customer"))
  .to("jdbc:testdb")
  .to("activemq:queue:customers");

A common use case is to query for data, process it and move it to another data source (ETL operations). In the following example, we retrieve new customer records from the source table every hour, filter/transform them and move them to a destination table:

from("timer://MoveNewCustomersEveryHour?period=3600000")
    .setBody(constant("select * from customer where create_time > (sysdate-1/24)"))
    .to("jdbc:testdb")
    .split(body())
        .process(new MyCustomerProcessor()) //filter/transform results as needed
        .setBody(simple("insert into processed_customer values('${body[ID]}','${body[NAME]}')"))
        .to("jdbc:testdb");