rpk s3 connecotr

 Here’s a step-by-step guide to downloading the S3 Sink Connector package and its dependencies for Redpanda, specifically designed for environments without internet access.

Step 1: Check Compatibility

Before downloading the S3 Sink Connector, make sure to check the version of Redpanda you are using and the compatible version of the S3 Sink Connector.

Step 2: Download the S3 Sink Connector Package

1. Go to Confluent Hub: Visit the Confluent Hub to find the S3 Sink Connector.

2. Search for S3 Sink Connector: In the search bar, type “S3 Sink Connector” and select the relevant result.

3. Select the Version: Choose the version that matches your Redpanda installation.

4. Download the Connector: Look for a download option, typically provided as a .zip or .tar.gz file. Click to download the file.

   For example, you might download something like:

   arduino
   confluent-kafka-connect-s3-<version>.zip
   

Step 3: Extract the Connector Package

Once the package is downloaded, extract the contents:

1. Using Command Line (Linux/macOS):

   bash
   unzip confluent-kafka-connect-s3-<version>.zip
   

   or

   bash
   tar -xzvf confluent-kafka-connect-s3-<version>.tar.gz
   

2. Using GUI: Right-click on the downloaded file and choose “Extract Here” or a similar option.

Step 4: Identify Required JAR Files

Navigate to the extracted folder and identify the JAR files. You typically need the main connector JAR and any dependencies. For example:

• kafka-connect-s3-<version>.jar
• Additional JAR files related to the S3 Sink functionality.

Step 5: Download Dependencies

Since your Redpanda server has no internet access, you will also need to download any dependencies manually. Use a tool like Maven or Gradle on a machine with internet access to gather these dependencies:

1. Using Maven: Create a simple pom.xml file:

   xml
   <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
       <modelVersion>4.0.0</modelVersion>
       <groupId>com.confluent</groupId>
       <artifactId>kafka-connect-s3</artifactId>
       <version><version></version>
   </project>
   

   Replace <version> with the actual version number you downloaded.

2. Build the Project: Run the following command to download all dependencies:

   bash
   mvn dependency:copy-dependencies
   

3. Locate Dependencies: The dependencies will be in the target/dependency folder.

Step 6: Transfer Files to Redpanda Server

Use scp or another method to transfer the JAR files from your local machine (or the one with internet access) to your Redpanda server.

Step 7: Install the Connector on Redpanda

1. Create a Directory for Connectors:

   bash
   mkdir -p /path/to/connectors/s3
   

2. Move JAR Files: Transfer all downloaded JAR files to the created directory:

   bash
   mv /path/to/your/jars/*.jar /path/to/connectors/s3/
   

Step 8: Configure and Load the Connector

1. Create a Configuration File: Create a file named s3-sink-config.json with the following content (adjust the values accordingly):

   json
   {
     "name": "s3-sink",
     "connector.class": "io.confluent.connect.s3.S3SinkConnector",
     "tasks.max": "1",
     "topics": "your_topic_name",
     "s3.bucket.name": "your_bucket_name",
     "s3.region": "your_region",
     "s3.access.key.id": "your_access_key_id",
     "s3.secret.access.key": "your_secret_access_key",
     "format.class": "io.confluent.connect.s3.format.json.JsonFormat",
     "flush.size": "1000",
     "storage.class": "io.confluent.connect.s3.storage.S3Storage",
     "partitioner.class": "io.confluent.connect.storage.partitioner.DefaultPartitioner",
     "partitioning.strategy": "time",
     "time.interval": "3600"
   }
   

2. Load the Connector: Use the rpk command to load the connector configuration:

   bash
   rpk connector load s3-sink /path/to/s3-sink-config.json
   

Step 9: Verify the Connector

Check the status of the connector:

bash
rpk connector list

You should see the connector listed with its status.

Conclusion

You have now downloaded, transferred, and installed the S3 Sink Connector on your Redpanda server without internet access. If you encounter any issues or need further assistance, feel free to ask!

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java 17 install

 Since your Podman container does not have internet access, you'll need to download Java 17 on your host machine and manually copy it into the container. Here’s how you can do it:

Step 1: Download Java 17 on Your Local Machine

1. Go to the official OpenJDK site:
   https://jdk.java.net/17/
   OR Download from Oracle (requires login):
   https://www.oracle.com/java/technologies/javase/jdk17-archive-downloads.html

2. Choose the Linux x64 .tar.gz version.

3. Transfer the file to your air-gapped Linux machine using scp or a USB drive.

---

Step 2: Copy Java 17 to Your Podman Container

1. Create a directory on your host to store Java:

   bash
   
   
   mkdir -p /opt/java
   mv jdk-17_linux-x64_bin.tar.gz /opt/java/

2. 1. Find the container ID or name:

      bash
      podman ps
      

   2. Copy the file into the container:

      bash
      podman cp /opt/java/jdk-17_linux-x64_bin.tar.gz <container_id>:/opt/
      

   Step 3: Install Java 17 in the Container

   1. Access the container shell:

      bash
      podman exec -it <container_id> /bin/bash
      

   2. Extract Java inside the container:

      bash
      cd /opt
      tar -xvzf jdk-17_linux-x64_bin.tar.gz
      mv jdk-17 /opt/java17
      

   3. Set Java 17 as the default version:

      bash
      export JAVA_HOME=/opt/java17
      export PATH=$JAVA_HOME/bin:$PATH

   4. 1. Verify Java Version:

         bash
         java -version
         

      ---

      Step 4: Make Java 17 Permanent

      Modify the container’s profile file (/etc/profile or /root/.bashrc):

      bash
      echo "export JAVA_HOME=/opt/java17" >> /etc/profile
      echo "export PATH=\$JAVA_HOME/bin:\$PATH" >> /etc/profile
      

      Apply the changes:

      bash
      source /etc/profile
      

      Now, Java 17 is installed and configured inside your Podman container! 🚀

3.