Chapter 147. SQL Component
SQL Component
The sql: component allows you to work with databases using JDBC queries. The difference between this component and JDBC component is that in case of SQL the query is a property of the endpoint and it uses message payload as parameters passed to the query.
This component uses
spring-jdbc
behind the scenes for the actual SQL handling.
The SQL component also supports:
- a JDBC based repository for the Idempotent Consumer EIP pattern. See further below.
- a JDBC based repository for the Aggregator EIP pattern. See further below.
Important
This component can be used as a Transactional Client.
Camel on EAP deployment
This component is supported by the Camel on EAP (Wildfly Camel) framework, which offers a simplified deployment model on the Red Hat JBoss Enterprise Application Platform (JBoss EAP) container. For details of this model, see chapter "Apache Camel on Red Hat JBoss EAP" in "Deploying into a Web Server".
When used in conjunction with the
camel-cdi
component, Java EE annotations make a datasource available to Camel. The following example uses the @Named
annotation so that Camel can locate the desired datasource:
public class DatasourceProducer { @Resource(name = "java:jboss/datasources/ExampleDS") DataSource dataSource; @Produces @Named("wildFlyExampleDS") public DataSource getDataSource() { return dataSource; } }
The datasource can now be referenced through the
dataSource
parameter on the camel-sql
endpoint configuration, as follows:
@ApplicationScoped @ContextName("camel-sql-cdi-context") @Startup public class CdiRouteBuilder extends RouteBuilder { @Override public void configure() throws Exception { from("sql:select name from information_schema.users?dataSource=wildFlyExampleDS") .to("direct:end"); } }
URI format
Warning
From Camel 2.11 onwards this component can create both consumer (e.g.
from()
) and producer endpoints (e. g. to()
).In previous versions, it could only act as a producer.
The SQL component uses the following endpoint URI notation:
sql:select * from table where id=# order by name[?options]
From Camel 2.11 onwards you can use named parameters by using
#name_of_the_parameter
style as shown:
sql:select * from table where id=:#myId order by name[?options]
When using named parameters, Camel will lookup the names from, in the given precedence: 1. from message body if its a
java.util.Map
2. from message headers
If a named parameter cannot be resolved, then an exception is thrown.
From Camel 2.14 onward you can use Simple expressions as parameters as shown:
sql:select * from table where id=:#${property.myId} order by name[?options]
Notice that the standard
?
symbol that denotes the parameters to an SQL query is substituted with the #
symbol, because the ?
symbol is used to specify options for the endpoint. The ?
symbol replacement can be configured on endpoint basis.
You can append query options to the URI in the following format,
?option=value&option=value&...
Options
Option | Type | Default | Description |
---|---|---|---|
batch
|
boolean
|
false
|
Camel 2.7.5, 2.8.4 and 2.9: Execute SQL batch update statements. See notes below on how the treatment of the inbound message body changes if this is set to true .
|
dataSourceRef
|
String
|
null
|
Deprecated and will be removed in Camel 3.0: Reference to a DataSource to look up in the registry. Use dataSource=#theName instead.
|
dataSource
|
String
|
null
|
Camel 2.11: Reference to a DataSource to look up in the registry.
|
placeholder
|
String
|
#
|
Camel 2.4: Specifies a character that will be replaced to ? in SQL query. Notice, that it is simple String.replaceAll() operation and no SQL parsing is involved (quoted strings will also change)
|
template.<xxx>
|
null
|
Sets additional options on the Spring JdbcTemplate that is used behind the scenes to execute the queries. For instance, template.maxRows=10 . For detailed documentation, see the JdbcTemplate javadoc documentation.
|
|
allowNamedParameters
|
boolean
|
true
|
Camel 2.11: Whether to allow using named parameters in the queries. |
processingStrategy
|
Camel 2.11:SQL consumer only: Allows to plugin to use a custom org.apache.camel.component.sql.SqlProcessingStrategy to execute queries when the consumer has processed the rows/batch.
|
||
prepareStatementStrategy
|
Camel 2.11: Allows to plugin to use a custom org.apache.camel.component.sql.SqlPrepareStatementStrategy to control preparation of the query and prepared statement.
|
||
consumer.delay
|
long
|
500
|
Camel 2.11:SQL consumer only: Delay in milliseconds between each poll. |
consumer.initialDelay
|
long
|
1000
|
Camel 2.11:SQL consumer only: Milliseconds before polling starts. |
consumer.useFixedDelay
|
boolean
|
false
|
Camel 2.11:SQL consumer only: Set to true to use fixed delay between polls, otherwise fixed rate is used. See ScheduledExecutorService in JDK for details.
|
maxMessagesPerPoll
|
int
|
0
|
Camel 2.11:SQL consumer only: An integer value to define the maximum number of messages to gather per poll. By default, no maximum is set. |
consumer.useIterator
|
boolean
|
true
|
Camel 2.11:SQL consumer only: If true each row returned when polling will be processed individually. If false the entire java.util.List of data is set as the IN body.
|
consumer.routeEmptyResultSet
|
boolean
|
false
|
Camel 2.11:SQL consumer only: Whether to route a single empty Exchange if there was no data to poll. |
consumer.onConsume
|
String
|
null
|
Camel 2.11:SQL consumer only: After processing each row then this query can be executed, if the Exchange was processed successfully, for example to mark the row as processed. The query can have parameter. |
consumer.onConsumeFailed
|
String
|
null
|
Camel 2.11:SQL consumer only: After processing each row then this query can be executed, if the Exchange failed, for example to mark the row as failed. The query can have parameter. |
consumer.onConsumeBatchComplete
|
String
|
null
|
Camel 2.11:SQL consumer only: After processing the entire batch, this query can be executed to bulk update rows etc. The query cannot have parameters. |
consumer.expectedUpdateCount
|
int
|
\-1
|
Camel 2.11:SQL consumer only: If using consumer.onConsume then this option can be used to set an expected number of rows being updated. Typically you may set this to 1 to expect one row to be updated.
|
consumer.breakBatchOnConsumeFail
|
boolean
|
false
|
Camel 2.11:SQL consumer only: If using consumer.onConsume and it fails, then this option controls whether to break out of the batch or continue processing the next row from the batch.
|
alwaysPopulateStatement
|
boolean
|
false
|
Camel 2.11:SQL producer only: If enabled then the populateStatement method from org.apache.camel.component.sql.SqlPrepareStatementStrategy is always invoked, also if there is no expected parameters to be prepared. When this is false then the populateStatement is only invoked if there is 1 or more expected parameters to be set; for example this avoids reading the message body/headers for SQL queries with no parameters.
|
separator
|
char
|
,
|
Camel 2.11.1: The separator to use when parameter values is taken from message body (if the body is a String type), to be inserted at # placeholders. Notice if you use named parameters, then a Map type is used instead.
|
outputType
|
String
|
SelectList
|
Camel 2.12.0: Make the output of consumer or producer to
SelectList as List of Map, or SelectOne as single Java object in the following way: a) If the query has only single column, then that JDBC Column object is returned. (such as SELECT COUNT( * ) FROM PROJECT will return a Long object. b) If the query has more than one column, then it will return a Map of that result. c) If the outputClass is set, then it will convert the query result into an Java bean object by calling all the setters that match the column names. It will assume your class has a default constructor to create instance with. d) If the query resulted in more than one rows, it throws an non-unique result exception.
From Camel 2.14.1 onwards, the
SelectList also supports mapping each row to a Java object as the SelectOne does (only step c).
|
outputClass
|
String
|
null
|
Camel 2.12.0: Specify the full package and class name to use as conversion when outputType=SelectOne .
|
outputHeader
|
String
|
null
|
Camel 2.15: To store the result as a header instead of the message body. This allows to preserve the existing message body as-is. |
parametersCount
|
int
|
0
|
Camel 2.11.2/2.12.0 If set greater than zero, then Camel will use this count value of parameters to replace instead of querying via JDBC metadata API. This is useful if the JDBC vendor could not return correct parameters count, then user may override instead. |
noop
|
boolean
|
false
|
Camel 2.12.0 If set, will ignore the results of the SQL query and use the existing IN message as the OUT message for the continuation of processing |
Treatment of the message body
The SQL component tries to convert the message body to an object of
java.util.Iterator
type and then uses this iterator to fill the query parameters (where each query parameter is represented by a #
symbol, or other configured placeholder, in the endpoint URI). If the message body is not an array or collection, the conversion results in an iterator that iterates over only one object, which is the body itself.
For example, if the message body is an instance of
java.util.List
, the first item in the list is substituted into the first occurrence of #
in the SQL query, the second item in the list is substituted into the second occurrence of #
, and so on.
If
batch
is set to true
, then the interpretation of the inbound message body changes slightly - instead of an iterator of parameters, the component expects an iterator that contains the parameter iterators; the size of the outer iterator determines the batch size.
Result of the query
For
select
operations, the result is an instance of List<Map<String, Object>>
type, as returned by the JdbcTemplate.queryForList() method. For update
operations, the result is the number of updated rows, returned as an Integer
.
By default, the result is placed in the message body. If the
outputHeader
parameter is set, the result is placed in the header. This is an alternative to using a full message enrichment pattern to add headers, it provides a concise syntax for querying a sequence or some other small value into a header. It is convenient to use outputHeader
and outputType
together, for example:
from("jms:order.inbox") .to("sql:select order_seq.nextval from dual?outputHeader=OrderId&outputType=SelectOne") .to("jms:order.booking");
Header values
When performing
update
operations, the SQL Component stores the update count in the following message headers:
Header | Description |
---|---|
CamelSqlUpdateCount
|
Apache Camel 2.0: The number of rows updated for update operations, returned as an Integer object.
|
CamelSqlRowCount
|
Apache Camel 2.0: The number of rows returned for select operations, returned as an Integer object.
|
CamelSqlQuery
|
Camel 2.8: Query to execute. This query takes precedence over the query specified in the endpoint URI. Note that query parameters in the header are represented by a ? instead of a # symbol
|
When performing
insert
operations, the SQL Component stores the rows with the generated keys and number of these rown in the following message headers (Available as of Camel 2.12.4, 2.13.1):
Header
|
Description
|
CamelSqlGeneratedKeysRowCount
|
The number of rows in the header that contains generated keys.
|
CamelSqlGeneratedKeyRows
|
Rows that contains the generated keys (a list of maps of keys).
|
Generated keys
Available as of Camel 2.12.4, 2.13.1 and 2.14
If you insert data using SQL INSERT, then the RDBMS may support auto generated keys. You can instruct the SQL producer to return the generated keys in headers. To do that set the header
CamelSqlRetrieveGeneratedKeys=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.
Configuration
You can now set a reference to a
DataSource
in the URI directly:
sql:select * from table where id=# order by name?dataSourceRef=myDS
Sample
In the sample below we execute a query and retrieve the result as a
List
of rows, where each row is a Map<String, Object
and the key is the column name.
First, we set up a table to use for our sample. As this is based on an unit test, we do it java code:
// this is the database we create with some initial data for our unit test db = new EmbeddedDatabaseBuilder() .setType(EmbeddedDatabaseType.DERBY).addScript("sql/createAndPopulateDatabase.sql").build();
The SQL script
createAndPopulateDatabase.sql
we execute looks like as described below:
create table projects (id integer primary key, project varchar(10), license varchar(5)); insert into projects values (1, 'Camel', 'ASF'); insert into projects values (2, 'AMQ', 'ASF'); insert into projects values (3, 'Linux', 'XXX');
Then we configure our route and our
sql
component. Notice that we use a direct
endpoint in front of the sql
endpoint. This allows us to send an exchange to the direct
endpoint with the URI, direct:simple
, which is much easier for the client to use than the long sql:
URI. Note that the DataSource
is looked up up in the registry, so we can use standard Spring XML to configure our DataSource
.
from("direct:simple") .to("sql:select * from projects where license = # order by id?dataSourceRef=jdbc/myDataSource") .to("mock:result");
And then we fire the message into the
direct
endpoint that will route it to our sql
component that queries the database.
MockEndpoint mock = getMockEndpoint("mock:result"); mock.expectedMessageCount(1); // send the query to direct that will route it to the sql where we will execute the query // and bind the parameters with the data from the body. The body only contains one value // in this case (XXX) but if we should use multi values then the body will be iterated // so we could supply a List<String> instead containing each binding value. template.sendBody("direct:simple", "XXX"); mock.assertIsSatisfied(); // the result is a List List<?> received = assertIsInstanceOf(List.class, mock.getReceivedExchanges().get(0).getIn().getBody()); // and each row in the list is a Map Map<?, ?> row = assertIsInstanceOf(Map.class, received.get(0)); // and we should be able the get the project from the map that should be Linux assertEquals("Linux", row.get("PROJECT"));
We could configure the
DataSource
in Spring XML as follows:
<jee:jndi-lookup id="myDS" jndi-name="jdbc/myDataSource"/>
Using named parameters
Available as of Camel 2.11
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 for these parameters from the message body or 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)) .to("sql:select * from projects where license = :#lic and id > :#min order by id")
Though if the message body is a
java.util.Map
then the named parameters will be taken from the body.
from("direct:projects") .to("sql:select * from projects where license = :#lic and id > :#min order by id")
Using expression parameters
Available as of Camel 2.14
In the given route below, we want to get all the project from the database. It uses the body of the exchange for defining the license and uses the value of a property as the second parameter.
from("direct:projects") .setBody(constant("ASF")) .setProperty("min", constant(123)) .to("sql:select * from projects where license = :#${body} and id > :#${property.min} order by id")
Using the JDBC based idempotent repository
In this section we will use the JDBC based idempotent repository.
Abstract class
From Camel 2.9 onwards there is an abstract class
org.apache.camel.processor.idempotent.jdbc.AbstractJdbcMessageIdRepository
you can extend to build custom JDBC idempotent repository.
First we have to create the database table which will be used by the idempotent repository.
In Camel 2.8, we added the
createdAt
column:
CREATE TABLE CAMEL_MESSAGEPROCESSED ( processorName VARCHAR(255), messageId VARCHAR(100), createdAt TIMESTAMP )
Warning
The SQL Server TIMESTAMP type is a fixed-length binary-string type. It does not map to any of the JDBC time types: DATE, TIME, or TIMESTAMP.
We recommend to have a unique constraint on the columns processorName and messageId. Because the syntax for this constraint differs for database to database, we do not show it here.
Second we need to setup a
javax.sql.DataSource
in the spring XML file:
<jdbc:embedded-database id="dataSource" type="DERBY" />
And finally we can create our JDBC idempotent repository in the spring XML file as well:
<bean id="messageIdRepository" class="org.apache.camel.processor.idempotent.jdbc.JdbcMessageIdRepository"> <constructor-arg ref="dataSource" /> <constructor-arg value="myProcessorName" /> </bean> <camel:camelContext> <camel:errorHandler id="deadLetterChannel" type="DeadLetterChannel" deadLetterUri="mock:error"> <camel:redeliveryPolicy maximumRedeliveries="0" maximumRedeliveryDelay="0" logStackTrace="false" /> </camel:errorHandler> <camel:route id="JdbcMessageIdRepositoryTest" errorHandlerRef="deadLetterChannel"> <camel:from uri="direct:start" /> <camel:idempotentConsumer messageIdRepositoryRef="messageIdRepository"> <camel:header>messageId</camel:header> <camel:to uri="mock:result" /> </camel:idempotentConsumer> </camel:route> </camel:camelContext>
Customize the JdbcMessageIdRepository
Starting with Camel 2.9.1 you have a few options to tune the
org.apache.camel.processor.idempotent.jdbc.JdbcMessageIdRepository
for your needs:
Parameter | Default Value | Description |
---|---|---|
createTableIfNotExists | true | Defines whether or not Camel should try to create the table if it doesn't exist. |
tableExistsString | SELECT 1 FROM CAMEL_MESSAGEPROCESSED WHERE 1 = 0 | This query is used to figure out whether the table already exists or not. It must throw an exception to indicate the table doesn't exist. |
createString | CREATE TABLE CAMEL_MESSAGEPROCESSED (processorName VARCHAR(255), messageId VARCHAR(100), createdAt TIMESTAMP) | The statement which is used to create the table. |
queryString | SELECT COUNT(*) FROM CAMEL_MESSAGEPROCESSED WHERE processorName = ? AND messageId = ? |
The query which is used to figure out whether the message already exists in the repository (the result is not equals to '0'). It takes two parameters. This first one is the processor name (String ) and the second one is the message id (String ).
|
insertString | INSERT INTO CAMEL_MESSAGEPROCESSED (processorName, messageId, createdAt) VALUES (?, ?, ?) |
The statement which is used to add the entry into the table. It takes three parameter. The first one is the processor name (String ), the second one is the message id (String ) and the third one is the timestamp (java.sql.Timestamp ) when this entry was added to the repository.
|
deleteString | DELETE FROM CAMEL_MESSAGEPROCESSED WHERE processorName = ? AND messageId = ? |
The statement which is used to delete the entry from the database. It takes two parameter. This first one is the processor name (String ) and the second one is the message id (String ).
|
A customized
org.apache.camel.processor.idempotent.jdbc.JdbcMessageIdRepository
could look like:
<bean id="messageIdRepository" class="org.apache.camel.processor.idempotent.jdbc.JdbcMessageIdRepository"> <constructor-arg ref="dataSource" /> <constructor-arg value="myProcessorName" /> <property name="tableExistsString" value="SELECT 1 FROM CUSTOMIZED_MESSAGE_REPOSITORY WHERE 1 = 0" /> <property name="createString" value="CREATE TABLE CUSTOMIZED_MESSAGE_REPOSITORY (processorName VARCHAR(255), messageId VARCHAR(100), createdAt TIMESTAMP)" /> <property name="queryString" value="SELECT COUNT(*) FROM CUSTOMIZED_MESSAGE_REPOSITORY WHERE processorName = ? AND messageId = ?" /> <property name="insertString" value="INSERT INTO CUSTOMIZED_MESSAGE_REPOSITORY (processorName, messageId, createdAt) VALUES (?, ?, ?)" /> <property name="deleteString" value="DELETE FROM CUSTOMIZED_MESSAGE_REPOSITORY WHERE processorName = ? AND messageId = ?" /> </bean>
Using the JDBC based aggregation repository
Available as of Camel 2.6
Using JdbcAggregationRepository in Camel 2.6
In Camel 2.6, the JdbcAggregationRepository is provided in the
camel-jdbc-aggregator
component. From Camel 2.7 onwards, the JdbcAggregationRepository
is provided in the camel-sql
component.
JdbcAggregationRepository
is an AggregationRepository
which on the fly persists the aggregated messages. This ensures that you will not loose messages, as the default aggregator will use an in memory only AggregationRepository
. The JdbcAggregationRepository
allows together with Camel to provide persistent support for the Aggregator .
It has the following options:
Option | Type | Description |
---|---|---|
dataSource
|
DataSource
|
Mandatory: The javax.sql.DataSource to use for accessing the database.
|
repositoryName
|
String
|
Mandatory: The name of the repository. |
transactionManager
|
TransactionManager
|
Mandatory: The org.springframework.transaction.PlatformTransactionManager to mange transactions for the database. The TransactionManager must be able to support databases.
|
lobHandler
|
LobHandler
|
A org.springframework.jdbc.support.lob.LobHandler to handle Lob types in the database. Use this option to use a vendor specific LobHandler, for example when using Oracle.
|
returnOldExchange
|
boolean |
Whether the get operation should return the old existing Exchange if any existed. By default this option is false to optimize as we do not need the old exchange when aggregating.
|
useRecovery
|
boolean |
Whether or not recovery is enabled. This option is by default true . When enabled the Camel Aggregator automatic recover failed aggregated exchange and have them resubmitted.
|
recoveryInterval
|
long | If recovery is enabled then a background task is run every x'th time to scan for failed exchanges to recover and resubmit. By default this interval is 5000 millis. |
maximumRedeliveries
|
int |
Allows you to limit the maximum number of redelivery attempts for a recovered exchange. If enabled then the Exchange will be moved to the dead letter channel if all redelivery attempts failed. By default this option is disabled. If this option is used then the deadLetterUri option must also be provided.
|
deadLetterUri
|
String |
An endpoint uri for a Dead Letter Channel where exhausted recovered Exchanges will be moved. If this option is used, the maximumRedeliveries option must also be provided.
|
storeBodyAsText
|
boolean |
Camel 2.11: Whether to store the message body as String which is human readable. By default this option is false storing the body in binary format.
|
headersToStoreAsText
|
List<String>
|
Camel 2.11: Allows to store headers as String which is human readable. By default this option is disabled, storing the headers in binary format. |
optimisticLocking
|
false
|
Camel 2.12: To turn on optimistic locking, which often would be needed in clustered environments where multiple Camel applications shared the same JDBC based aggregation repository. |
jdbcOptimisticLockingExceptionMapper
|
Camel 2.12: Allows to plugin a custom org.apache.camel.processor.aggregate.jdbc.JdbcOptimisticLockingExceptionMapper to map vendor specific error codes to an optimistick locking error, for Camel to perform a retry. This requires optimisticLocking to be enabled.
|
What is preserved when persisting
JdbcAggregationRepository
will only preserve any Serializable
compatible data types. If a data type is not such a type its dropped and a WARN
is logged. And it only persists the Message
body and the Message
headers. The Exchange
properties are not persisted.
From Camel 2.11 onwards you can store the message body and select(ed) headers as String in separate columns.
Recovery
The
JdbcAggregationRepository
will by default recover any failed Exchange. It does this by having a background tasks that scans for failed Exchanges in the persistent store. You can use the checkInterval
option to set how often this task runs. The recovery works as transactional which ensures that Camel will try to recover and redeliver the failed Exchange. Any Exchange which was found to be recovered will be restored from the persistent store and resubmitted and send out again.
The following headers is set when an Exchange is being recovered/redelivered:
Header | Type | Description |
---|---|---|
Exchange.REDELIVERED
|
Boolean | Is set to true to indicate the Exchange is being redelivered. |
Exchange.REDELIVERY_COUNTER
|
Integer | The redelivery attempt, starting from 1. |
Only when an Exchange has been successfully processed it will be marked as complete which happens when the
confirm
method is invoked on the AggregationRepository
. This means if the same Exchange fails again it will be kept retried until it success.
You can use option
maximumRedeliveries
to limit the maximum number of redelivery attempts for a given recovered Exchange. You must also set the deadLetterUri
option so Camel knows where to send the Exchange when the maximumRedeliveries
was hit.
You can see some examples in the unit tests of camel-sql, for example this test.
Database
To be operational, each aggregator uses two table: the aggregation and completed one. By convention the completed has the same name as the aggregation one suffixed with
"_COMPLETED"
. The name must be configured in the Spring bean with the RepositoryName
property. In the following example aggregation will be used.
The table structure definition of both table are identical: in both case a String value is used as key (id) whereas a Blob contains the exchange serialized in byte array. However one difference should be remembered: the id field does not have the same content depending on the table. In the aggregation table id holds the correlation Id used by the component to aggregate the messages. In the completed table, id holds the id of the exchange stored in corresponding the blob field.
Here is the SQL query used to create the tables, just replace
"aggregation"
with your aggregator repository name.
CREATE TABLE aggregation ( id varchar(255) NOT NULL, exchange blob NOT NULL, constraint aggregation_pk PRIMARY KEY (id) ); CREATE TABLE aggregation_completed ( id varchar(255) NOT NULL, exchange blob NOT NULL, constraint aggregation_completed_pk PRIMARY KEY (id) );
Storing body and headers as text
Available as of Camel 2.11
You can configure the
JdbcAggregationRepository
to store message body and select(ed) headers as String in separate columns. For example to store the body, and the following two headers companyName
and accountName
use the following SQL:
CREATE TABLE aggregationRepo3 ( id varchar(255) NOT NULL, exchange blob NOT NULL, body varchar(1000), companyName varchar(1000), accountName varchar(1000), constraint aggregationRepo3_pk PRIMARY KEY (id) ); CREATE TABLE aggregationRepo3_completed ( id varchar(255) NOT NULL, exchange blob NOT NULL, body varchar(1000), companyName varchar(1000), accountName varchar(1000), constraint aggregationRepo3_completed_pk PRIMARY KEY (id) );
And then configure the repository to enable this behavior as shown below:
<bean id="repo3" class="org.apache.camel.processor.aggregate.jdbc.JdbcAggregationRepository"> <property name="repositoryName" value="aggregationRepo3"/> <property name="transactionManager" ref="txManager3"/> <property name="dataSource" ref="dataSource3"/> <!-- configure to store the message body and following headers as text in the repo --> <property name="storeBodyAsText" value="true"/> <property name="headersToStoreAsText"> <list> <value>companyName</value> <value>accountName</value> </list> </property> </bean>
Codec (Serialization)
Since they can contain any type of payload, Exchanges are not serializable by design. It is converted into a byte array to be stored in a database BLOB field. All those conversions are handled by the
JdbcCodec
class. One detail of the code requires your attention: the ClassLoadingAwareObjectInputStream
.
The
ClassLoadingAwareObjectInputStream
has been reused from the Apache ActiveMQ project. It wraps an ObjectInputStream
and use it with the ContextClassLoader
rather than the currentThread
one. The benefit is to be able to load classes exposed by other bundles. This allows the exchange body and headers to have custom types object references.
Transaction
A Spring
PlatformTransactionManager
is required to orchestrate transaction.
Service (Start/Stop)
The
start
method verify the connection of the database and the presence of the required tables. If anything is wrong it will fail during starting.
Aggregator configuration
Depending on the targeted environment, the aggregator might need some configuration. As you already know, each aggregator should have its own repository (with the corresponding pair of table created in the database) and a data source. If the default lobHandler is not adapted to your database system, it can be injected with the
lobHandler
property.
Here is the declaration for Oracle:
<bean id="lobHandler" class="org.springframework.jdbc.support.lob.OracleLobHandler"> <property name="nativeJdbcExtractor" ref="nativeJdbcExtractor"/> </bean> <bean id="nativeJdbcExtractor" class="org.springframework.jdbc.support.nativejdbc.CommonsDbcpNativeJdbcExtractor"/> <bean id="repo" class="org.apache.camel.processor.aggregate.jdbc.JdbcAggregationRepository"> <property name="transactionManager" ref="transactionManager"/> <property name="repositoryName" value="aggregation"/> <property name="dataSource" ref="dataSource"/> <!-- Only with Oracle, else use default --> <property name="lobHandler" ref="lobHandler"/> </bean>
Optimistic locking
From Camel 2.12 onwards you can turn on
optimisticLocking
and use this JDBC based aggregation repository in a clustered environment where multiple Camel applications shared the same database for the aggregation repository. If there is a race condition there JDBC driver will throw a vendor specific exception which the JdbcAggregationRepository
can react upon. To know which caused exceptions from the JDBC driver is regarded as an optimistick locking error we need a mapper to do this. Therefore there is a org.apache.camel.processor.aggregate.jdbc.JdbcOptimisticLockingExceptionMapper
allows you to implement your custom logic if needed. There is a default implementation org.apache.camel.processor.aggregate.jdbc.DefaultJdbcOptimisticLockingExceptionMapper
which works as follows:
The following check is done:
- If the caused exception is an
SQLException
then the SQLState is checked if starts with 23. - If the caused exception is a
DataIntegrityViolationException
- If the caused exception class name has "ConstraintViolation" in its name.
- optional checking for FQN class name matches if any class names has been configured
You can in addition add FQN classnames, and if any of the caused exception (or any nested) equals any of the FQN class names, then its an optimistick locking error.
Here is an example, where we define 2 extra FQN class names from the JDBC vendor.
<bean id="repo" class="org.apache.camel.processor.aggregate.jdbc.JdbcAggregationRepository"> <property name="transactionManager" ref="transactionManager"/> <property name="repositoryName" value="aggregation"/> <property name="dataSource" ref="dataSource"/> <property name"jdbcOptimisticLockingExceptionMapper" ref="myExceptionMapper"/> </bean> <!-- use the default mapper with extra FQN class names from our JDBC driver --> <bean id="myExceptionMapper" class="org.apache.camel.processor.aggregate.jdbc.DefaultJdbcOptimisticLockingExceptionMapper"> <property name="classNames"> <util:set> <value>com.foo.sql.MyViolationExceptoion</value> <value>com.foo.sql.MyOtherViolationExceptoion</value> </util:set> </property> </bean>
See also: