| Type | object |
| Required | No |
| Additional properties | [Not allowed] |
Heiko Braun heiko-braun
heiko-braun
/ schema.md
Created
March 7, 2024 15:25
Keywords: Apache Camel | byte array | serialization | deserialization
user: In my case my client is requesting the java object as byte array. same way im converting my java object into byte array and sending it but client not able to de serialize the object even if we are using the same serial version id. any properties need to set in the camel route? from("direct:xxx") .log("REQUEST: ${body}") .to("jms:queue:INPUTQUEUE?connectionFactory=#connectionFactoryAdapter&replyTo=RECEIVE.QUEUE&requestTimeout=2000&includeSentJMSMessageID=true&useMessageIDAsCorrelationID=true") .log("RESPONSE: ${body}"); Need to send java object as byte array in Apache camel message body.
assistant: The serialization and deserialization of Java objects can be a delicate process, especially when dealing with byte arrays. In the context of Apache Camel, you can use the Java Object Serialization data format to convert Java objects to and from binary blobs.
To ensure that the serialization and deserialization pro
Keywords: Camel | Kinesis | ResumeAdapter | KinesisDefaultResumeAdapter
user: A customer has a use case where they want the Camel's route to continue consuming from Kinesis at the last consumed message after restarting the POD. To achieve this, Kinesis has a "checkpoint" feature. Unfortunately, Camel Kinesis component lacks the checkpoint support. However, it supports Resume API (I had to glean this information from GitHub because there is hardly any documentation, testing or examples available neither upstream). Then I would suggest implementing a ResumeAdapter that supports checkpoint starting from KinesisDefaultResumeAdapter. But I don't know where to start from. Any Advice?
assistant: It looks like there isn't specific documentation available for Camel Kinesis component with respect to the Resume API or implementing a ResumeAdapter. However, based on the information you provided, it seems like you want to implement a custom ResumeAdapter for the Camel Kinesis component that supp
Keywords: MQOO_INPUT_EXCLUSIVE option | Camel consumer | IBM MQ queue | Spring Boot application | Camel configuration | MQQueueConnectionFactory |
user: I am trying to setup spring boot application that needs to consume messages from an IBM MQ queue while ensuring that only one instance of the application receives all messages to maintain message ordering. To achieve this, I need to configure the Camel consumer to open a connection with the MQOO_INPUT_EXCLUSIVE option enabled. I have already set up the JmsComponent, MQQueueConnectionFactory and RouteBuilder in my application, but I couldn't find the property key and value to enable the MQOO_INPUT_EXCLUSIVE option for the connection via MQQueueConnectionFactory. Tried this approach by changing the Default input open option in the queue setting and it works, but is there a way to achieve this by passing this property while opening connection? I have tried searching online for information on how to set this option, but I haven't been able to
Keywords: Apache Camel | Kafka Consumer Component | Spring-Boot | Kafka Testcontainer | test message | Kafka component | Camel route
user: I am using the Kafka Consumer Component with Apache Camel 4.1.0 and Spring-Boot 3.1.5. To test message processing, I use a Kafka Testcontainer (one broker, one partition) and publish one test message per test-case to be processed. Surprisingly, the Camel Kafka consumer always picks up the test message twice, except for the very first test case in a test suite; here is a Camel trace log snippet: To my understanding the Kafka component should automatically commit received messages, so duplicates should be an exception instead of the norm (the above happens reproducibly on every test case except the first one) and a Camel route should run to completion before a new message is polled from Kafka. What am I missing here? What could be an explanation for the observed behavior? Is it possible that the Kafka Consumer component has been started multiple times?
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Keywords: Apache Camel | FTP | copy file
user: I am copying file from ftp to local system and file is in gigs. I notice that each time when I tried to copy file in iteration it overrides the content. Tried using .done extension but didn't worked also tried to copy file to another folder but that's also overlapping. How can I make this work?
assistant: It seems that you are looking to copy files from an FTP server to your local system without overwriting the existing files. One approach to achieve this is to dynamically set the filename using the File Language options available in the Apache Camel FTP component.
You can use the fileName option with a dynamic expression to set the filename and avoid overwriting existing files. Additionally, you can use the doneFileName option to create a separate flag file (done file) when the original file has been written, which prevents overwriting.
Keywords: SQS | Camel | Message Visibility | Message Visibility Timeout | AmazonSQS | InvalidParameterValue | ReceiptHandle
user: I have a Spring Boot Camel application that is consuming messages from an SQS Queue. The queue is set up to extend the Message Visibility. Due to an as-yet un-diagnosed problem it seems like a number of messages have had their Message Visibility Timeout extended to be greater than the maximum allowed by SQS ( 12 hours ). I see this in my log, with this message Total VisibilityTimeout for the message is beyond the limit [43200 seconds]. (Service: AmazonSQS; Status Code: 400; Error Code: InvalidParameterValue; Request ID: 55988753-658c-562b-8c04-daf37c9efc70) I can then see that the Camel component continues trying the extend the Message Visibility Timeout, and it looks like it's going to keep trying the extend it for ever. These requests result in the following exception message in my logs. ReceiptHandle is invalid. Reason: The receipt handle has expired. As far
Keywords: sftp | camel | Apache Camel | file processing | concurrency | idempotent
user: This is my route from("sftp://userName:password@ip:22/?move=.done") .routeId("my-route-1") . How to avoid processing the same files incase of multiple instances?
assistant: To avoid processing the same files in case of multiple instances, you can use the "idempotent" read lock feature in Apache Camel's SFTP component. This feature uses an "idempotent repository" to keep track of the files that have already been processed and prevents them from being processed again.
Here's an example of how to configure the "idempotent" read lock using Java DSL and the maven artifact reference for the necessary Camel SFTP dependency:
Keywords: seda | concurrent consumers | timeout property | message age | queue | custom logic
user: I am using apache camel 2.18.0 version. I am using seda queue with concurrent consumers option. What I am looking for is a way to control how long a message can remain in the queue itself. For ex: Say a timeout configuration is set for 2 min, and once the message reached the queue, if it stays for more than 2 min, exception should be thrown. In seda documentation this timeout property is available for ex: from("direct:start").to("seda:queue?timeout=120000"); // 2 minutes (in milliseconds) But this means message should reach the queue in 2min. So, if there is no such property to cause timeout on message age in a queue, is it true that Messages can stay in the queue until they are dequeued for processing? If I want to control how long messages can stay in the queue, I may need to implement custom logic in application to periodically check and remove messages from the queue if they exceed a
Keywords: Apache Camel | AWS S3 | file handling | chunking | Java
user: I want to read a local file, create equal chunks and store in AWS S3. Can you show me how to do that?
assistant: To read a local file, create equal chunks, and store them in AWS S3 using Apache Camel, you can use a combination of file handling, chunking, and the AWS S3 component in your Camel route.
Here's an outline of the steps to achieve this:
- Read the local file using the file component.
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