Chapter 95. MongoDB Both producer and consumer are supported According to Wikipedia: "NoSQL is a movement promoting a loosely defined class of non-relational data stores that break with a long history of relational databases and ACID guarantees." NoSQL solutions have grown in popularity in the last few years, and major extremely-used sites and services such as Facebook, LinkedIn, Twitter, etc. are known to use them extensively to achieve scalability and agility. Basically, NoSQL solutions differ from traditional RDBMS (Relational Database Management Systems) in that they don't use SQL as their query language and generally don't offer ACID-like transactional behaviour nor relational data. Instead, they are designed around the concept of flexible data structures and schemas (meaning that the traditional concept of a database table with a fixed schema is dropped), extreme scalability on commodity hardware and blazing-fast processing. MongoDB is a very popular NoSQL solution and the camel-mongodb component integrates Camel with MongoDB allowing you to interact with MongoDB collections both as a producer (performing operations on the collection) and as a consumer (consuming documents from a MongoDB collection). MongoDB revolves around the concepts of documents (not as is office documents, but rather hierarchical data defined in JSON/BSON) and collections. This component page will assume you are familiar with them. Otherwise, visit http://www.mongodb.org/ . Note The MongoDB Camel component uses Mongo Java Driver 4.x. 95.1. Dependencies When using mongodb with Red Hat build of Camel Spring Boot make sure to use the following Maven dependency to have support for auto configuration: <dependency> <groupId>org.apache.camel.springboot</groupId> <artifactId>camel-mongodb-starter</artifactId> </dependency> 95.2. URI format 95.3. Configuring Options Camel components are configured on two levels: Component level Endpoint level 95.3.1. Component Level Options The component level is the highest level. The configurations you define at this level are inherited by all the endpoints. For example, a component can have security settings, credentials for authentication, urls for network connection, and so on. Since components typically have pre-configured defaults for the most common cases, you may need to only configure a few component options, or maybe none at all. You can configure components with Component DSL in a configuration file (application.properties|yaml), or directly with Java code. 95.3.2. Endpoint Level Options At the Endpoint level you have many options, which you can use to configure what you want the endpoint to do. The options are categorized according to whether the endpoint is used as a consumer (from) or as a producer (to) or used for both. You can configure endpoints directly in the endpoint URI as path and query parameters. You can also use Endpoint DSL and DataFormat DSL as type safe ways of configuring endpoints and data formats in Java. When configuring options, use Property Placeholders for urls, port numbers, sensitive information, and other settings. Placeholders allows you to externalize the configuration from your code, giving you more flexible and reusable code. 95.4. Component Options The MongoDB component supports 4 options, which are listed below. Name Description Default Type mongoConnection (common) Autowired Shared client used for connection. All endpoints generated from the component will share this connection client. MongoClient bridgeErrorHandler (consumer) Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. false boolean lazyStartProducer (producer) Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false boolean autowiredEnabled (advanced) Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. true boolean 95.5. Endpoint Options The MongoDB endpoint is configured using URI syntax: with the following path and query parameters: 95.5.1. Path Parameters (1 parameters) Name Description Default Type connectionBean (common) Required Sets the connection bean reference used to lookup a client for connecting to a database. String 95.5.2. Query Parameters (27 parameters) Name Description Default Type collection (common) Sets the name of the MongoDB collection to bind to this endpoint. String collectionIndex (common) Sets the collection index (JSON FORMAT : \\{ field1 : order1, field2 : order2}). String createCollection (common) Create collection during initialisation if it doesn't exist. Default is true. true boolean database (common) Sets the name of the MongoDB database to target. String hosts (common) Host address of mongodb server in host:port format. It's possible also use more than one address, as comma separated list of hosts: host1:port1,host2:port2. If hosts parameter is specified, provided connectionBean is ignored. String mongoConnection (common) Sets the connection bean used as a client for connecting to a database. MongoClient operation (common) Sets the operation this endpoint will execute against MongoDB. Enum values: findById findOneByQuery findAll findDistinct insert save update remove bulkWrite aggregate getDbStats getColStats count command MongoDbOperation outputType (common) Convert the output of the producer to the selected type : DocumentList Document or MongoIterable. DocumentList or MongoIterable applies to findAll and aggregate. Document applies to all other operations. Enum values: DocumentList Document MongoIterable MongoDbOutputType bridgeErrorHandler (consumer) Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. false boolean consumerType (consumer) Consumer type. String exceptionHandler (consumer (advanced)) To let the consumer use a custom ExceptionHandler. Notice if the option bridgeErrorHandler is enabled then this option is not in use. By default the consumer will deal with exceptions, that will be logged at WARN or ERROR level and ignored. ExceptionHandler exchangePattern (consumer (advanced)) Sets the exchange pattern when the consumer creates an exchange. Enum values: InOnly InOut InOptionalOut ExchangePattern lazyStartProducer (producer) Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false boolean cursorRegenerationDelay (advanced) MongoDB tailable cursors will block until new data arrives. If no new data is inserted, after some time the cursor will be automatically freed and closed by the MongoDB server. The client is expected to regenerate the cursor if needed. This value specifies the time to wait before attempting to fetch a new cursor, and if the attempt fails, how long before the attempt is made. Default value is 1000ms. 1000 long dynamicity (advanced) Sets whether this endpoint will attempt to dynamically resolve the target database and collection from the incoming Exchange properties. Can be used to override at runtime the database and collection specified on the otherwise static endpoint URI. It is disabled by default to boost performance. Enabling it will take a minimal performance hit. false boolean readPreference (advanced) Configure how MongoDB clients route read operations to the members of a replica set. Possible values are PRIMARY, PRIMARY_PREFERRED, SECONDARY, SECONDARY_PREFERRED or NEAREST. Enum values: PRIMARY PRIMARY_PREFERRED SECONDARY SECONDARY_PREFERRED NEAREST PRIMARY String writeConcern (advanced) Configure the connection bean with the level of acknowledgment requested from MongoDB for write operations to a standalone mongod, replicaset or cluster. Possible values are ACKNOWLEDGED, W1, W2, W3, UNACKNOWLEDGED, JOURNALED or MAJORITY. Enum values: ACKNOWLEDGED W1 W2 W3 UNACKNOWLEDGED JOURNALED MAJORITY ACKNOWLEDGED String writeResultAsHeader (advanced) In write operations, it determines whether instead of returning WriteResult as the body of the OUT message, we transfer the IN message to the OUT and attach the WriteResult as a header. false boolean streamFilter (changeStream) Filter condition for change streams consumer. String password (security) User password for mongodb connection. String username (security) Username for mongodb connection. String persistentId (tail) One tail tracking collection can host many trackers for several tailable consumers. To keep them separate, each tracker should have its own unique persistentId. String persistentTailTracking (tail) Enable persistent tail tracking, which is a mechanism to keep track of the last consumed message across system restarts. The time the system is up, the endpoint will recover the cursor from the point where it last stopped slurping records. false boolean tailTrackCollection (tail) Collection where tail tracking information will be persisted. If not specified, MongoDbTailTrackingConfig#DEFAULT_COLLECTION will be used by default. String tailTrackDb (tail) Indicates what database the tail tracking mechanism will persist to. If not specified, the current database will be picked by default. Dynamicity will not be taken into account even if enabled, i.e. the tail tracking database will not vary past endpoint initialisation. String tailTrackField (tail) Field where the last tracked value will be placed. If not specified, MongoDbTailTrackingConfig#DEFAULT_FIELD will be used by default. String tailTrackIncreasingField (tail) Correlation field in the incoming record which is of increasing nature and will be used to position the tailing cursor every time it is generated. The cursor will be (re)created with a query of type: tailTrackIncreasingField greater than lastValue (possibly recovered from persistent tail tracking). Can be of type Integer, Date, String, etc. NOTE: No support for dot notation at the current time, so the field should be at the top level of the document. String 95.6. Configuration of database in Spring XML The following Spring XML creates a bean defining the connection to a MongoDB instance. Since mongo java driver 3, the WriteConcern and readPreference options are not dynamically modifiable. They are defined in the mongoClient object <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xmlns:mongo="http://www.springframework.org/schema/data/mongo" xsi:schemaLocation="http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/data/mongo http://www.springframework.org/schema/data/mongo/spring-mongo.xsd http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd"> <mongo:mongo-client id="mongoBean" host="USD{mongo.url}" port="USD{mongo.port}" credentials="USD{mongo.user}:USD{mongo.pass}@USD{mongo.dbname}"> <mongo:client-options write-concern="NORMAL" /> </mongo:mongo-client> </beans> 95.7. Sample route The following route defined in Spring XML executes the operation getDbStats on a collection. Get DB stats for specified collection <route> <from uri="direct:start" /> <!-- using bean 'mongoBean' defined above --> <to uri="mongodb:mongoBean?database=USD{mongodb.database}&amp;collection=USD{mongodb.collection}&amp;operation=getDbStats" /> <to uri="direct:result" /> </route> 95.8. MongoDB operations - producer endpoints 95.8.1. Query operations 95.8.1.1. findById This operation retrieves only one element from the collection whose _id field matches the content of the IN message body. The incoming object can be anything that has an equivalent to a Bson type. See http://bsonspec.org/spec.html and http://www.mongodb.org/display/DOCS/Java+Types . from("direct:findById") .to("mongodb:myDb?database=flights&collection=tickets&operation=findById") .to("mock:resultFindById"); Please, note that the default _id is treated by Mongo as and ObjectId type, so you may need to convert it properly. from("direct:findById") .convertBodyTo(ObjectId.class) .to("mongodb:myDb?database=flights&collection=tickets&operation=findById") .to("mock:resultFindById"); Note Supports optional parameters This operation supports projection operators. See Specifying a fields filter (projection) . 95.8.1.2. findOneByQuery Retrieve the first element from a collection matching a MongoDB query selector. If the CamelMongoDbCriteria header is set, then its value is used as the query selector . If the CamelMongoDbCriteria header is null , then the IN message body is used as the query selector. In both cases, the query selector should be of type Bson or convertible to Bson (for instance, a JSON string or HashMap ). See Type conversions for more info. Create query selectors using the Filters provided by the MongoDB Driver. 95.8.1.3. Example without a query selector (returns the first document in a collection) from("direct:findOneByQuery") .to("mongodb:myDb?database=flights&collection=tickets&operation=findOneByQuery") .to("mock:resultFindOneByQuery"); 95.8.1.4. Example with a query selector (returns the first matching document in a collection): from("direct:findOneByQuery") .setHeader(MongoDbConstants.CRITERIA, constant(Filters.eq("name", "Raul Kripalani"))) .to("mongodb:myDb?database=flights&collection=tickets&operation=findOneByQuery") .to("mock:resultFindOneByQuery"); Note Supports optional parameters This operation supports projection operators and sort clauses. See Specifying a fields filter (projection) , Specifying a sort clause. 95.8.1.5. findAll The findAll operation returns all documents matching a query, or none at all, in which case all documents contained in the collection are returned. The query object is extracted CamelMongoDbCriteria header . if the CamelMongoDbCriteria header is null the query object is extracted message body, i.e. it should be of type Bson or convertible to Bson . It can be a JSON String or a Hashmap. See Type conversions for more info. 95.8.1.5.1. Example without a query selector (returns all documents in a collection) from("direct:findAll") .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") .to("mock:resultFindAll"); 95.8.1.5.2. Example with a query selector (returns all matching documents in a collection) from("direct:findAll") .setHeader(MongoDbConstants.CRITERIA, Filters.eq("name", "Raul Kripalani")) .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") .to("mock:resultFindAll"); Paging and efficient retrieval is supported via the following headers: Header key Quick constant Description (extracted from MongoDB API doc) Expected type CamelMongoDbNumToSkip MongoDbConstants.NUM_TO_SKIP Discards a given number of elements at the beginning of the cursor. int/Integer CamelMongoDbLimit MongoDbConstants.LIMIT Limits the number of elements returned. int/Integer CamelMongoDbBatchSize MongoDbConstants.BATCH_SIZE Limits the number of elements returned in one batch. A cursor typically fetches a batch of result objects and store them locally. If batchSize is positive, it represents the size of each batch of objects retrieved. It can be adjusted to optimize performance and limit data transfer. If batchSize is negative, it will limit of number objects returned, that fit within the max batch size limit (usually 4MB), and cursor will be closed. For example if batchSize is -10, then the server will return a maximum of 10 documents and as many as can fit in 4MB, then close the cursor. Note that this feature is different from limit() in that documents must fit within a maximum size, and it removes the need to send a request to close the cursor server-side. The batch size can be changed even after a cursor is iterated, in which case the setting will apply on the batch retrieval. int/Integer CamelMongoDbAllowDiskUse MongoDbConstants.ALLOW_DISK_USE Sets allowDiskUse MongoDB flag. This is supported since MongoDB Server 4.3.1. Using this header with older MongoDB Server version can cause query to fail. boolean/Boolean 95.8.1.5.3. Example with option outputType=MongoIterable and batch size from("direct:findAll") .setHeader(MongoDbConstants.BATCH_SIZE).constant(10) .setHeader(MongoDbConstants.CRITERIA, constant(Filters.eq("name", "Raul Kripalani"))) .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll&outputType=MongoIterable") .to("mock:resultFindAll"); The findAll operation will also return the following OUT headers to enable you to iterate through result pages if you are using paging: Header key Quick constant Description (extracted from MongoDB API doc) Data type CamelMongoDbResultTotalSize MongoDbConstants.RESULT_TOTAL_SIZE Number of objects matching the query. This does not take limit/skip into consideration. int/Integer CamelMongoDbResultPageSize MongoDbConstants.RESULT_PAGE_SIZE Number of objects matching the query. This does not take limit/skip into consideration. int/Integer Note Supports optional parameters This operation supports projection operators and sort clauses. See Specifying a fields filter (projection) , Specifying a sort clause. 95.8.1.6. count Returns the total number of objects in a collection, returning a Long as the OUT message body. The following example will count the number of records in the "dynamicCollectionName" collection. Notice how dynamicity is enabled, and as a result, the operation will not run against the "notableScientists" collection, but against the "dynamicCollectionName" collection. // from("direct:count").to("mongodb:myDb?database=tickets&collection=flights&operation=count&dynamicity=true"); Long result = template.requestBodyAndHeader("direct:count", "irrelevantBody", MongoDbConstants.COLLECTION, "dynamicCollectionName"); assertTrue("Result is not of type Long", result instanceof Long); You can provide a query The query object is extracted CamelMongoDbCriteria header . if the CamelMongoDbCriteria header is null the query object is extracted message body, i.e. it should be of type Bson or convertible to Bson ., and operation will return the amount of documents matching this criteria. Document query = ... Long count = template.requestBodyAndHeader("direct:count", query, MongoDbConstants.COLLECTION, "dynamicCollectionName"); 95.8.1.7. Specifying a fields filter (projection) Query operations will, by default, return the matching objects in their entirety (with all their fields). If your documents are large and you only require retrieving a subset of their fields, you can specify a field filter in all query operations, simply by setting the relevant Bson (or type convertible to Bson , such as a JSON String, Map, etc.) on the CamelMongoDbFieldsProjection header, constant shortcut: MongoDbConstants.FIELDS_PROJECTION . Here is an example that uses MongoDB's Projections to simplify the creation of Bson. It retrieves all fields except _id and boringField : // route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson fieldProjection = Projection.exclude("_id", "boringField"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.FIELDS_PROJECTION, fieldProjection); Here is an example that uses MongoDB's Projections to simplify the creation of Bson. It retrieves all fields except _id and boringField : // route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson fieldProjection = Projection.exclude("_id", "boringField"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.FIELDS_PROJECTION, fieldProjection); 95.8.1.8. Specifying a sort clause There is a often a requirement to fetch the min/max record from a collection based on sorting by a particular field that uses MongoDB's Sorts to simplify the creation of Bson. It retrieves all fields except _id and boringField : // route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson sorts = Sorts.descending("_id"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.SORT_BY, sorts); In a Camel route the SORT_BY header can be used with the findOneByQuery operation to achieve the same result. If the FIELDS_PROJECTION header is also specified the operation will return a single field/value pair that can be passed directly to another component (for example, a parameterized MyBatis SELECT query). This example demonstrates fetching the temporally newest document from a collection and reducing the result to a single field, based on the documentTimestamp field: .from("direct:someTriggeringEvent") .setHeader(MongoDbConstants.SORT_BY).constant(Sorts.descending("documentTimestamp")) .setHeader(MongoDbConstants.FIELDS_PROJECTION).constant(Projection.include("documentTimestamp")) .setBody().constant("{}") .to("mongodb:myDb?database=local&collection=myDemoCollection&operation=findOneByQuery") .to("direct:aMyBatisParameterizedSelect"); 95.8.2. Create/update operations 95.8.2.1. insert Inserts an new object into the MongoDB collection, taken from the IN message body. Type conversion is attempted to turn it into Document or a List . Two modes are supported: single insert and multiple insert. For multiple insert, the endpoint will expect a List, Array or Collections of objects of any type, as long as they are - or can be converted to - Document . Example: from("direct:insert") .to("mongodb:myDb?database=flights&collection=tickets&operation=insert"); The operation will return a WriteResult, and depending on the WriteConcern or the value of the invokeGetLastError option, getLastError() would have been called already or not. If you want to access the ultimate result of the write operation, you need to retrieve the CommandResult by calling getLastError() or getCachedLastError() on the WriteResult . Then you can verify the result by calling CommandResult.ok() , CommandResult.getErrorMessage() and/or CommandResult.getException() . Note that the new object's _id must be unique in the collection. If you don't specify the value, MongoDB will automatically generate one for you. But if you do specify it and it is not unique, the insert operation will fail (and for Camel to notice, you will need to enable invokeGetLastError or set a WriteConcern that waits for the write result). This is not a limitation of the component, but it is how things work in MongoDB for higher throughput. If you are using a custom _id , you are expected to ensure at the application level that is unique (and this is a good practice too). OID(s) of the inserted record(s) is stored in the message header under CamelMongoOid key ( MongoDbConstants.OID constant). The value stored is org.bson.types.ObjectId for single insert or java.util.List<org.bson.types.ObjectId> if multiple records have been inserted. In MongoDB Java Driver 3.x the insertOne and insertMany operation return void. The Camel insert operation return the Document or List of Documents inserted. Note that each Documents are Updated by a new OID if need. 95.8.2.2. save The save operation is equivalent to an upsert (UPdate, inSERT) operation, where the record will be updated, and if it doesn't exist, it will be inserted, all in one atomic operation. MongoDB will perform the matching based on the _id field. Beware that in case of an update, the object is replaced entirely and the usage of MongoDB's USDmodifiers is not permitted. Therefore, if you want to manipulate the object if it already exists, you have two options: perform a query to retrieve the entire object first along with all its fields (may not be efficient), alter it inside Camel and then save it. use the update operation with USDmodifiers , which will execute the update at the server-side instead. You can enable the upsert flag, in which case if an insert is required, MongoDB will apply the USDmodifiers to the filter query object and insert the result. If the document to be saved does not contain the _id attribute, the operation will be an insert, and the new _id created will be placed in the CamelMongoOid header. For example: from("direct:insert") .to("mongodb:myDb?database=flights&collection=tickets&operation=save"); // route: from("direct:insert").to("mongodb:myDb?database=flights&collection=tickets&operation=save"); org.bson.Document docForSave = new org.bson.Document(); docForSave.put("key", "value"); Object result = template.requestBody("direct:insert", docForSave); 95.8.2.3. update Update one or multiple records on the collection. Requires a filter query and a update rules. You can define the filter using MongoDBConstants.CRITERIA header as Bson and define the update rules as Bson in Body. Note Update after enrich While defining the filter by using MongoDBConstants.CRITERIA header as Bson to query mongodb before you do update, you should notice you need to remove it from the resulting camel exchange during aggregation if you use enrich pattern with a aggregation strategy and then apply mongodb update. If you don't remove this header during aggregation and/or redefine MongoDBConstants.CRITERIA header before sending camel exchange to mongodb producer endpoint, you may end up with invalid camel exchange payload while updating mongodb. The second way Require a List<Bson> as the IN message body containing exactly 2 elements: Element 1 (index 0) ⇒ filter query ⇒ determines what objects will be affected, same as a typical query object Element 2 (index 1) ⇒ update rules ⇒ how matched objects will be updated. All modifier operations from MongoDB are supported. Note Multiupdates By default, MongoDB will only update 1 object even if multiple objects match the filter query. To instruct MongoDB to update all matching records, set the CamelMongoDbMultiUpdate IN message header to true . A header with key CamelMongoDbRecordsAffected will be returned ( MongoDbConstants.RECORDS_AFFECTED constant) with the number of records updated (copied from WriteResult.getN() ). Supports the following IN message headers: Header key Quick constant Description (extracted from MongoDB API doc) Expected type CamelMongoDbMultiUpdate MongoDbConstants.MULTIUPDATE If the update should be applied to all objects matching. See http://www.mongodb.org/display/DOCS/Atomic+Operations boolean/Boolean CamelMongoDbUpsert MongoDbConstants.UPSERT If the database should create the element if it does not exist boolean/Boolean For example, the following will update all records whose filterField field equals true by setting the value of the "scientist" field to "Darwin": // route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); List<Bson> body = new ArrayList<>(); Bson filterField = Filters.eq("filterField", true); body.add(filterField); BsonDocument updateObj = new BsonDocument().append("USDset", new BsonDocument("scientist", new BsonString("Darwin"))); body.add(updateObj); Object result = template.requestBodyAndHeader("direct:update", body, MongoDbConstants.MULTIUPDATE, true); // route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); Maps<String, Object> headers = new HashMap<>(2); headers.add(MongoDbConstants.MULTIUPDATE, true); headers.add(MongoDbConstants.FIELDS_FILTER, Filters.eq("filterField", true)); String updateObj = Updates.set("scientist", "Darwin");; Object result = template.requestBodyAndHeaders("direct:update", updateObj, headers); // route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); String updateObj = "[{\"filterField\": true}, {\"USDset\", {\"scientist\", \"Darwin\"}}]"; Object result = template.requestBodyAndHeader("direct:update", updateObj, MongoDbConstants.MULTIUPDATE, true); 95.8.3. Delete operations 95.8.3.1. remove Remove matching records from the collection. The IN message body will act as the removal filter query, and is expected to be of type DBObject or a type convertible to it. The following example will remove all objects whose field 'conditionField' equals true, in the science database, notableScientists collection: // route: from("direct:remove").to("mongodb:myDb?database=science&collection=notableScientists&operation=remove"); Bson conditionField = Filters.eq("conditionField", true); Object result = template.requestBody("direct:remove", conditionField); A header with key CamelMongoDbRecordsAffected is returned ( MongoDbConstants.RECORDS_AFFECTED constant) with type int , containing the number of records deleted (copied from WriteResult.getN() ). 95.8.4. Bulk Write Operations 95.8.4.1. bulkWrite Performs write operations in bulk with controls for order of execution. Requires a List<WriteModel<Document>> as the IN message body containing commands for insert, update, and delete operations. The following example will insert a new scientist "Pierre Curie", update record with id "5" by setting the value of the "scientist" field to "Marie Curie" and delete record with id "3" : // route: from("direct:bulkWrite").to("mongodb:myDb?database=science&collection=notableScientists&operation=bulkWrite"); List<WriteModel<Document>> bulkOperations = Arrays.asList( new InsertOneModel<>(new Document("scientist", "Pierre Curie")), new UpdateOneModel<>(new Document("_id", "5"), new Document("USDset", new Document("scientist", "Marie Curie"))), new DeleteOneModel<>(new Document("_id", "3"))); BulkWriteResult result = template.requestBody("direct:bulkWrite", bulkOperations, BulkWriteResult.class); By default, operations are executed in order and interrupted on the first write error without processing any remaining write operations in the list. To instruct MongoDB to continue to process remaining write operations in the list, set the CamelMongoDbBulkOrdered IN message header to false . Unordered operations are executed in parallel and this behavior is not guaranteed. Header key Quick constant Description (extracted from MongoDB API doc) Expected type CamelMongoDbBulkOrdered MongoDbConstants.BULK_ORDERED Perform an ordered or unordered operation execution. Defaults to true. boolean/Boolean 95.8.5. Other operations 95.8.5.1. aggregate Perform a aggregation with the given pipeline contained in the body. Aggregations could be long and heavy operations. Use with care. // route: from("direct:aggregate").to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate"); List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist", group("USDscientist", sum("count", 1))); from("direct:aggregate") .setBody().constant(aggregate) .to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate") .to("mock:resultAggregate"); Supports the following IN message headers: Header key Quick constant Description (extracted from MongoDB API doc) Expected type CamelMongoDbBatchSize MongoDbConstants.BATCH_SIZE Sets the number of documents to return per batch. int/Integer CamelMongoDbAllowDiskUse MongoDbConstants.ALLOW_DISK_USE Enable aggregation pipeline stages to write data to temporary files. boolean/Boolean By default a List of all results is returned. This can be heavy on memory depending on the size of the results. A safer alternative is to set your outputType=MongoIterable. The Processor will see an iterable in the message body allowing it to step through the results one by one. Thus setting a batch size and returning an iterable allows for efficient retrieval and processing of the result. An example would look like: List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist", group("USDscientist", sum("count", 1))); from("direct:aggregate") .setHeader(MongoDbConstants.BATCH_SIZE).constant(10) .setBody().constant(aggregate) .to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable") .split(body()) .streaming() .to("mock:resultAggregate"); Note that calling .split(body()) is enough to send the entries down the route one-by-one, however it would still load all the entries into memory first. Calling .streaming() is thus required to load data into memory by batches. 95.8.5.2. getDbStats Equivalent of running the db.stats() command in the MongoDB shell, which displays useful statistic figures about the database. For example: Usage example: // from("direct:getDbStats").to("mongodb:myDb?database=flights&collection=tickets&operation=getDbStats"); Object result = template.requestBody("direct:getDbStats", "irrelevantBody"); assertTrue("Result is not of type Document", result instanceof Document); The operation will return a data structure similar to the one displayed in the shell, in the form of a Document in the OUT message body. 95.8.5.3. getColStats Equivalent of running the db.collection.stats() command in the MongoDB shell, which displays useful statistic figures about the collection. For example: Usage example: // from("direct:getColStats").to("mongodb:myDb?database=flights&collection=tickets&operation=getColStats"); Object result = template.requestBody("direct:getColStats", "irrelevantBody"); assertTrue("Result is not of type Document", result instanceof Document); The operation will return a data structure similar to the one displayed in the shell, in the form of a Document in the OUT message body. 95.8.5.4. command Run the body as a command on database. Useful for admin operation as getting host information, replication or sharding status. Collection parameter is not use for this operation. // route: from("command").to("mongodb:myDb?database=science&operation=command"); DBObject commandBody = new BasicDBObject("hostInfo", "1"); Object result = template.requestBody("direct:command", commandBody); 95.8.6. Dynamic operations An Exchange can override the endpoint's fixed operation by setting the CamelMongoDbOperation header, defined by the MongoDbConstants.OPERATION_HEADER constant. The values supported are determined by the MongoDbOperation enumeration and match the accepted values for the operation parameter on the endpoint URI. For example: // from("direct:insert").to("mongodb:myDb?database=flights&collection=tickets&operation=insert"); Object result = template.requestBodyAndHeader("direct:insert", "irrelevantBody", MongoDbConstants.OPERATION_HEADER, "count"); assertTrue("Result is not of type Long", result instanceof Long); 95.9. Consumers There are several types of consumers: Tailable Cursor Consumer Change Streams Consumer 95.9.1. Tailable Cursor Consumer MongoDB offers a mechanism to instantaneously consume ongoing data from a collection, by keeping the cursor open just like the tail -f command of *nix systems. This mechanism is significantly more efficient than a scheduled poll, due to the fact that the server pushes new data to the client as it becomes available, rather than making the client ping back at scheduled intervals to fetch new data. It also reduces otherwise redundant network traffic. There is only one requisite to use tailable cursors: the collection must be a "capped collection", meaning that it will only hold N objects, and when the limit is reached, MongoDB flushes old objects in the same order they were originally inserted. For more information, please refer to http://www.mongodb.org/display/DOCS/Tailable+Cursors . The Camel MongoDB component implements a tailable cursor consumer, making this feature available for you to use in your Camel routes. As new objects are inserted, MongoDB will push them as Document in natural order to your tailable cursor consumer, who will transform them to an Exchange and will trigger your route logic. 95.10. How the tailable cursor consumer works To turn a cursor into a tailable cursor, a few special flags are to be signalled to MongoDB when first generating the cursor. Once created, the cursor will then stay open and will block upon calling the MongoCursor.() method until new data arrives. However, the MongoDB server reserves itself the right to kill your cursor if new data doesn't appear after an indeterminate period. If you are interested to continue consuming new data, you have to regenerate the cursor. And to do so, you will have to remember the position where you left off or else you will start consuming from the top again. The Camel MongoDB tailable cursor consumer takes care of all these tasks for you. You will just need to provide the key to some field in your data of increasing nature, which will act as a marker to position your cursor every time it is regenerated, e.g. a timestamp, a sequential ID, etc. It can be of any datatype supported by MongoDB. Date, Strings and Integers are found to work well. We call this mechanism "tail tracking" in the context of this component. The consumer will remember the last value of this field and whenever the cursor is to be regenerated, it will run the query with a filter like: increasingField > lastValue , so that only unread data is consumed. Setting the increasing field: Set the key of the increasing field on the endpoint URI tailTrackingIncreasingField option. In Camel 2.10, it must be a top-level field in your data, as nested navigation for this field is not yet supported. That is, the "timestamp" field is okay, but "nested.timestamp" will not work. Please open a ticket in the Camel JIRA if you do require support for nested increasing fields. Cursor regeneration delay: One thing to note is that if new data is not already available upon initialisation, MongoDB will kill the cursor instantly. Since we don't want to overwhelm the server in this case, a cursorRegenerationDelay option has been introduced (with a default value of 1000ms.), which you can modify to suit your needs. An example: from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime") .id("tailableCursorConsumer1") .autoStartup(false) .to("mock:test"); The above route will consume from the "flights.cancellations" capped collection, using "departureTime" as the increasing field, with a default regeneration cursor delay of 1000ms. 95.11. Persistent tail tracking Standard tail tracking is volatile and the last value is only kept in memory. However, in practice you will need to restart your Camel container every now and then, but your last value would then be lost and your tailable cursor consumer would start consuming from the top again, very likely sending duplicate records into your route. To overcome this situation, you can enable the persistent tail tracking feature to keep track of the last consumed increasing value in a special collection inside your MongoDB database too. When the consumer initialises again, it will restore the last tracked value and continue as if nothing happened. The last read value is persisted on two occasions: every time the cursor is regenerated and when the consumer shuts down. We may consider persisting at regular intervals too in the future (flush every 5 seconds) for added robustness if the demand is there. To request this feature, please open a ticket in the Camel JIRA. 95.12. Enabling persistent tail tracking To enable this function, set at least the following options on the endpoint URI: persistentTailTracking option to true persistentId option to a unique identifier for this consumer, so that the same collection can be reused across many consumers Additionally, you can set the tailTrackDb , tailTrackCollection and tailTrackField options to customise where the runtime information will be stored. Refer to the endpoint options table at the top of this page for descriptions of each option. For example, the following route will consume from the "flights.cancellations" capped collection, using "departureTime" as the increasing field, with a default regeneration cursor delay of 1000ms, with persistent tail tracking turned on, and persisting under the "cancellationsTracker" id on the "flights.camelTailTracking", storing the last processed value under the "lastTrackingValue" field ( camelTailTracking and lastTrackingValue are defaults). from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime&persistentTailTracking=true" + "&persistentId=cancellationsTracker") .id("tailableCursorConsumer2") .autoStartup(false) .to("mock:test"); Below is another example identical to the one above, but where the persistent tail tracking runtime information will be stored under the "trackers.camelTrackers" collection, in the "lastProcessedDepartureTime" field: from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime&persistentTailTracking=true" + "&persistentId=cancellationsTracker&tailTrackDb=trackers&tailTrackCollection=camelTrackers" + "&tailTrackField=lastProcessedDepartureTime") .id("tailableCursorConsumer3") .autoStartup(false) .to("mock:test"); 95.12.1. Change Streams Consumer Change Streams allow applications to access real-time data changes without the complexity and risk of tailing the MongoDB oplog. Applications can use change streams to subscribe to all data changes on a collection and immediately react to them. Because change streams use the aggregation framework, applications can also filter for specific changes or transform the notifications at will. The exchange body will contain the full document of any change. To configure Change Streams Consumer you need to specify consumerType , database , collection and optional JSON property streamFilter to filter events. That JSON property is standard MongoDB USDmatch aggregation. It could be easily specified using XML DSL configuration: <route id="filterConsumer"> <from uri="mongodb:myDb?consumerType=changeStreams&amp;database=flights&amp;collection=tickets&amp;streamFilter={ 'USDmatch':{'USDor':[{'fullDocument.stringValue': 'specificValue'}]} }"/> <to uri="mock:test"/> </route> Java configuration: from("mongodb:myDb?consumerType=changeStreams&database=flights&collection=tickets&streamFilter={ 'USDmatch':{'USDor':[{'fullDocument.stringValue': 'specificValue'}]} }") .to("mock:test"); Note You can externalize the streamFilter value into a property placeholder which allows the endpoint URI parameters to be cleaner and easier to read. The changeStreams consumer type will also return the following OUT headers: Header key Quick constant Description (extracted from MongoDB API doc) Data type CamelMongoDbStreamOperationType MongoDbConstants.STREAM_OPERATION_TYPE The type of operation that occurred. Can be any of the following values: insert, delete, replace, update, drop, rename, dropDatabase, invalidate. String _id MongoDbConstants.MONGO_ID A document that contains the _id of the document created or modified by the insert, replace, delete, update operations (i.e. CRUD operations). For sharded collections, also displays the full shard key for the document. The _id field is not repeated if it is already a part of the shard key. ObjectId 95.13. Type conversions The MongoDbBasicConverters type converter included with the camel-mongodb component provides the following conversions: Name From type To type How? fromMapToDocument Map Document constructs a new Document via the new Document(Map m) constructor. fromDocumentToMap Document Map Document already implements Map . fromStringToDocument String Document uses com.mongodb.Document.parse(String s) . fromStringToObjectId String ObjectId constructs a new ObjectId via the new ObjectId(s) fromFileToDocument File Document uses fromInputStreamToDocument under the hood fromInputStreamToDocument InputStream Document converts the inputstream bytes to a Document fromStringToList String List<Bson> uses org.bson.codecs.configuration.CodecRegistries to convert to BsonArray then to List<Bson>. This type converter is auto-discovered, so you don't need to configure anything manually. 95.14. Spring Boot Auto-Configuration The component supports 5 options, which are listed below. Name Description Default Type camel.component.mongodb.autowired-enabled Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. true Boolean camel.component.mongodb.bridge-error-handler Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. false Boolean camel.component.mongodb.enabled Whether to enable auto configuration of the mongodb component. This is enabled by default. Boolean camel.component.mongodb.lazy-start-producer Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false Boolean camel.component.mongodb.mongo-connection Shared client used for connection. All endpoints generated from the component will share this connection client. The option is a com.mongodb.client.MongoClient type. MongoClient

Commands:
<dependency> <groupId>org.apache.camel.springboot</groupId> <artifactId>camel-mongodb-starter</artifactId> </dependency>
mongodb:connectionBean?database=databaseName&collection=collectionName&operation=operationName[&moreOptions...]
mongodb:connectionBean
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xmlns:mongo="http://www.springframework.org/schema/data/mongo" xsi:schemaLocation="http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/data/mongo http://www.springframework.org/schema/data/mongo/spring-mongo.xsd http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd"> <mongo:mongo-client id="mongoBean" host="USD{mongo.url}" port="USD{mongo.port}" credentials="USD{mongo.user}:USD{mongo.pass}@USD{mongo.dbname}"> <mongo:client-options write-concern="NORMAL" /> </mongo:mongo-client> </beans>
<route> <from uri="direct:start" /> <!-- using bean 'mongoBean' defined above --> <to uri="mongodb:mongoBean?database=USD{mongodb.database}&amp;collection=USD{mongodb.collection}&amp;operation=getDbStats" /> <to uri="direct:result" /> </route>
from("direct:findById") .to("mongodb:myDb?database=flights&collection=tickets&operation=findById") .to("mock:resultFindById");
from("direct:findById") .convertBodyTo(ObjectId.class) .to("mongodb:myDb?database=flights&collection=tickets&operation=findById") .to("mock:resultFindById");
from("direct:findOneByQuery") .to("mongodb:myDb?database=flights&collection=tickets&operation=findOneByQuery") .to("mock:resultFindOneByQuery");
from("direct:findOneByQuery") .setHeader(MongoDbConstants.CRITERIA, constant(Filters.eq("name", "Raul Kripalani"))) .to("mongodb:myDb?database=flights&collection=tickets&operation=findOneByQuery") .to("mock:resultFindOneByQuery");
from("direct:findAll") .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") .to("mock:resultFindAll");
from("direct:findAll") .setHeader(MongoDbConstants.CRITERIA, Filters.eq("name", "Raul Kripalani")) .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") .to("mock:resultFindAll");
from("direct:findAll") .setHeader(MongoDbConstants.BATCH_SIZE).constant(10) .setHeader(MongoDbConstants.CRITERIA, constant(Filters.eq("name", "Raul Kripalani"))) .to("mongodb:myDb?database=flights&collection=tickets&operation=findAll&outputType=MongoIterable") .to("mock:resultFindAll");
// from("direct:count").to("mongodb:myDb?database=tickets&collection=flights&operation=count&dynamicity=true"); Long result = template.requestBodyAndHeader("direct:count", "irrelevantBody", MongoDbConstants.COLLECTION, "dynamicCollectionName"); assertTrue("Result is not of type Long", result instanceof Long);
Document query = Long count = template.requestBodyAndHeader("direct:count", query, MongoDbConstants.COLLECTION, "dynamicCollectionName");
// route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson fieldProjection = Projection.exclude("_id", "boringField"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.FIELDS_PROJECTION, fieldProjection);
// route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson fieldProjection = Projection.exclude("_id", "boringField"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.FIELDS_PROJECTION, fieldProjection);
// route: from("direct:findAll").to("mongodb:myDb?database=flights&collection=tickets&operation=findAll") Bson sorts = Sorts.descending("_id"); Object result = template.requestBodyAndHeader("direct:findAll", ObjectUtils.NULL, MongoDbConstants.SORT_BY, sorts);
.from("direct:someTriggeringEvent") .setHeader(MongoDbConstants.SORT_BY).constant(Sorts.descending("documentTimestamp")) .setHeader(MongoDbConstants.FIELDS_PROJECTION).constant(Projection.include("documentTimestamp")) .setBody().constant("{}") .to("mongodb:myDb?database=local&collection=myDemoCollection&operation=findOneByQuery") .to("direct:aMyBatisParameterizedSelect");
from("direct:insert") .to("mongodb:myDb?database=flights&collection=tickets&operation=insert");
from("direct:insert") .to("mongodb:myDb?database=flights&collection=tickets&operation=save");
// route: from("direct:insert").to("mongodb:myDb?database=flights&collection=tickets&operation=save"); org.bson.Document docForSave = new org.bson.Document(); docForSave.put("key", "value"); Object result = template.requestBody("direct:insert", docForSave);
// route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); List<Bson> body = new ArrayList<>(); Bson filterField = Filters.eq("filterField", true); body.add(filterField); BsonDocument updateObj = new BsonDocument().append("USDset", new BsonDocument("scientist", new BsonString("Darwin"))); body.add(updateObj); Object result = template.requestBodyAndHeader("direct:update", body, MongoDbConstants.MULTIUPDATE, true);
// route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); Maps<String, Object> headers = new HashMap<>(2); headers.add(MongoDbConstants.MULTIUPDATE, true); headers.add(MongoDbConstants.FIELDS_FILTER, Filters.eq("filterField", true)); String updateObj = Updates.set("scientist", "Darwin");; Object result = template.requestBodyAndHeaders("direct:update", updateObj, headers);
// route: from("direct:update").to("mongodb:myDb?database=science&collection=notableScientists&operation=update"); String updateObj = "[{\"filterField\": true}, {\"USDset\", {\"scientist\", \"Darwin\"}}]"; Object result = template.requestBodyAndHeader("direct:update", updateObj, MongoDbConstants.MULTIUPDATE, true);
// route: from("direct:remove").to("mongodb:myDb?database=science&collection=notableScientists&operation=remove"); Bson conditionField = Filters.eq("conditionField", true); Object result = template.requestBody("direct:remove", conditionField);
// route: from("direct:bulkWrite").to("mongodb:myDb?database=science&collection=notableScientists&operation=bulkWrite"); List<WriteModel<Document>> bulkOperations = Arrays.asList( new InsertOneModel<>(new Document("scientist", "Pierre Curie")), new UpdateOneModel<>(new Document("_id", "5"), new Document("USDset", new Document("scientist", "Marie Curie"))), new DeleteOneModel<>(new Document("_id", "3"))); BulkWriteResult result = template.requestBody("direct:bulkWrite", bulkOperations, BulkWriteResult.class);
// route: from("direct:aggregate").to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate"); List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist", group("USDscientist", sum("count", 1))); from("direct:aggregate") .setBody().constant(aggregate) .to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate") .to("mock:resultAggregate");
List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist", group("USDscientist", sum("count", 1))); from("direct:aggregate") .setHeader(MongoDbConstants.BATCH_SIZE).constant(10) .setBody().constant(aggregate) .to("mongodb:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable") .split(body()) .streaming() .to("mock:resultAggregate");
> db.stats(); { "db" : "test", "collections" : 7, "objects" : 719, "avgObjSize" : 59.73296244784423, "dataSize" : 42948, "storageSize" : 1000058880, "numExtents" : 9, "indexes" : 4, "indexSize" : 32704, "fileSize" : 1275068416, "nsSizeMB" : 16, "ok" : 1 }
// from("direct:getDbStats").to("mongodb:myDb?database=flights&collection=tickets&operation=getDbStats"); Object result = template.requestBody("direct:getDbStats", "irrelevantBody"); assertTrue("Result is not of type Document", result instanceof Document);
> db.camelTest.stats(); { "ns" : "test.camelTest", "count" : 100, "size" : 5792, "avgObjSize" : 57.92, "storageSize" : 20480, "numExtents" : 2, "nindexes" : 1, "lastExtentSize" : 16384, "paddingFactor" : 1, "flags" : 1, "totalIndexSize" : 8176, "indexSizes" : { "_id_" : 8176 }, "ok" : 1 }
// from("direct:getColStats").to("mongodb:myDb?database=flights&collection=tickets&operation=getColStats"); Object result = template.requestBody("direct:getColStats", "irrelevantBody"); assertTrue("Result is not of type Document", result instanceof Document);
// route: from("command").to("mongodb:myDb?database=science&operation=command"); DBObject commandBody = new BasicDBObject("hostInfo", "1"); Object result = template.requestBody("direct:command", commandBody);
// from("direct:insert").to("mongodb:myDb?database=flights&collection=tickets&operation=insert"); Object result = template.requestBodyAndHeader("direct:insert", "irrelevantBody", MongoDbConstants.OPERATION_HEADER, "count"); assertTrue("Result is not of type Long", result instanceof Long);
from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime") .id("tailableCursorConsumer1") .autoStartup(false) .to("mock:test");
from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime&persistentTailTracking=true" + "&persistentId=cancellationsTracker") .id("tailableCursorConsumer2") .autoStartup(false) .to("mock:test");
from("mongodb:myDb?database=flights&collection=cancellations&tailTrackIncreasingField=departureTime&persistentTailTracking=true" + "&persistentId=cancellationsTracker&tailTrackDb=trackers&tailTrackCollection=camelTrackers" + "&tailTrackField=lastProcessedDepartureTime") .id("tailableCursorConsumer3") .autoStartup(false) .to("mock:test");
<route id="filterConsumer"> <from uri="mongodb:myDb?consumerType=changeStreams&amp;database=flights&amp;collection=tickets&amp;streamFilter={ 'USDmatch':{'USDor':[{'fullDocument.stringValue': 'specificValue'}]} }"/> <to uri="mock:test"/> </route>
from("mongodb:myDb?consumerType=changeStreams&database=flights&collection=tickets&streamFilter={ 'USDmatch':{'USDor':[{'fullDocument.stringValue': 'specificValue'}]} }") .to("mock:test");