Arangodb subdocument3/22/2023 ![]() If host and port are default, this field is Optional.ĪrangoDB user. If user and password are default, this field is Optional.ĪrangoDB exposed port. For the operation AQL_QUERY, no need to specify a collection or graph.ĪrangoDB password. 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. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. 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. ![]() Whether the producer should be started lazy (on the first message). If host and port are default, this field is Optional.Ĭ-start-producer Combine this attribute with one of the two attributes vertexCollection and edgeCollection.ĪrangoDB host. Graph name, when using ArangoDb as a Graph Database. Whether to enable auto configuration of the arangodb component. Set the edgeCollection name to perform CRUD operation on edges using these operations : SAVE_VERTEX, FIND_VERTEX_BY_KEY, UPDATE_VERTEX, DELETE_VERTEX. Set the documentCollection name when using the CRUD operation on the document database collections (SAVE_DOCUMENT, FIND_DOCUMENT_BY_KEY, UPDATE_DOCUMENT, DELETE_DOCUMENT).Ĭollection name of vertices, when using ArangoDb as a Graph Database. The option is a .arangodb.ArangoDbConfiguration type.Ĭ-collectionĬollection name, when using ArangoDb as a Document Database. ![]() This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.Ĭomponent configuration. 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. It’s not a bad DBMS, however, IMHO MongoDB shouldn’t be used as the main database of an application, unless you exactly know what your application will do and you are aware of its .autowired-enabled MongoDB has its advantages and disadvantages. Otherwise, you’ll end up with tons of if-else statements and dirty codes. With every change in your document model, the best practice is to have a migration to make all data share the same structure. With this feature ( or bug?) you’ll lose the database-layer validation and everything must be double-checked in the application layer. But it also lets you insert any kind of data wherever you want. When using the embedded way, the flexibility of MongoDB is cool. There are many limitations that’ll make you regret using Transactions API at all. You’ll also need a Replicaset to use transactions API! If you use transactions on a single server, you’ll get errors. In most cases, multi-document transaction incurs a greater performance cost over single document writes, and the availability of multi-document transaction should not be a replacement for effective schema design Starting version 4, MongoDB introduced Transactions API which seemed cool at first, however, there is a big warning message in Transaction API: Handling transactions is a must-have feature in enterprise apps, especially when data is valuable. As you can see, MongoDB may not be good choice if performance is a concern for you! Transactions: ACID (Atomicity, Consistency, Isolation, Durability)
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