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examples/db2/k8s-docs/README.md

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# Redis Connect for DB2 in K8s
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This repository describes the steps involved to deploy Redis Connect for DB2 in K8s.
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Overall flow:
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1. Clone the Redis Connect for db2 repository.
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2. Configure Redis Connect as in <a href="../demo/config/samples" target="_blank">this set of docs</a>.
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3. Deploy the Redis Connect configuration to Kubernetes.
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4. Configure the Redis Connect deployment manifests.
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5. Stage the Redis Connect job.
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6. Start the Redis Connect job.
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**Note:** This doc uses `kubectl` and `oc` interchangeably.
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## 1. Clone the Redis Connect for db2 Repository
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Follow the [demo](../demo) steps then goto k8s-docs directory
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```
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redis-connect$ cd k8s-docs
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```
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## 2. Configure Redis Connect
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Configure the files to describe your Redis Connect Job. One sample configuration is <a href="../demo/config/samples" target="_blank">here</a>.
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Redis Connect is a Java application which is a client of both the source RDBMS and the target Redis. As such, you will need:
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* Source database details (endpoint, port, credentials)
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* <a href="../" target="_blank">WAL and replication configuration</a> completed on the source database system
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* Source schema details
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* Target Redis details and instances (one for the data, one for the Job configuration)
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Details for configuring Redis Connect for db2 are <a href="../demo/" target="_blank">here</a>.
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## 3. Deploy the Redis Connect Configuration to Kubernetes
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This deployment requires the use of K8s ConfigMaps. The necessary config maps will be uploaded from your local directories using the commands below.
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```
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$ cd ../demo/config/samples/db2
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demo/config/samples/db2$ ls
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FormatterConfig.yml JobManager.yml env.yml templates/
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JobConfig.yml Setup.yml mappers/
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```
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Here is an example of creating the ConfigMap. This command should be *run from the directory containing your config files*.
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```
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kubectl create configmap redis-connect-config \
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--from-file=JobConfig.yml=JobConfig.yml \
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--from-file=JobManager.yml=JobManager.yml \
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--from-file=env.yml=env.yml \
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--from-file=Setup.yml=Setup.yml \
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--from-file=mapper1.yml=mappers/mapper1.yml \
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--from-file=TaskCreator.yml=TaskCreator.yml
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```
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The outcome is:
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```
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$ oc get configmap/redis-connect-config
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NAME DATA AGE
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redis-connect-config 5 5s
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```
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If you need to add a custom stage jar file then you can append that to the ConfigMap creation as follows:
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```
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kubectl create configmap redis-connect-config \
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--from-file=JobConfig.yml=JobConfig.yml \
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--from-file=JobManager.yml=JobManager.yml \
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--from-file=env.yml=env.yml \
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--from-file=Setup.yml=Setup.yml \
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--from-file=mapper1.yml=mappers/mapper1.yml \
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--from-file=TaskCreator.yml=TaskCreator.yml \
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--from-file=redis-connect-custom-stage-demo-1.0-SNAPSHOT.jar=redis-connect-custom-stage-demo-1.0-SNAPSHOT.jar
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```
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The outcome is:
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```
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$ oc get configmap/redis-connect-config
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NAME DATA AGE
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redis-connect-config 6 12s
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```
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If the ConfigMap did not get created, it's likely that one of more of the source configuration files was not found (eg. JobConfig.yml) so please verify the path to your files.
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The details of the the command above are:
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`kubectl create configmap <configmap_name> --from-file=<key_name>=<path-to/file_name>`
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**Note:** ConfigMaps are immutable so if you are making changes to an existing configuration, you need to delete the existing configuration first.
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### How Does the ConfigMap get used?
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The values of keys in the ConfigMap will be mounted directly to the pod's filesystem.
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The following volume mount is defined in the manifests. The a will mount the resource `config-volume` to that `mountPath`.
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```
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volumeMounts:
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- name: config-volume
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mountPath: /opt/redislabs/redis-connect/config/fromconfigmap
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```
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The volume is defined through the following `volume` directive. It will mount the file/pth `JobConfig.yml` using the contents of the key named `JobConfig.yml` from the ConfigMap `redis-connect-config` in the `mountPath` define above.
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```
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volumes:
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- name: config-volume
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configMap:
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name: redis-connect-config
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items:
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- key: JobConfig.yml
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path: JobConfig.yml
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```
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The effect of this mapping in the pod's filesystem is the following:
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```
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root@redis-connect-7b7ccf87b9-sqshl> pwd
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/opt/redislabs/redis-connect/config/fromconfigmap
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root@redis-connect-7b7ccf87b9-sqshl> ls -al
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total 0
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drwxrwxrwx 3 root root 149 Aug 12 15:52 .
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drwxr-xr-x 1 root root 27 Aug 12 15:52 ..
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drwxr-xr-x 3 root root 96 Aug 12 15:52 ..2021_08_12_15_52_06.258096011
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lrwxrwxrwx 1 root root 31 Aug 12 15:52 ..data -> ..2021_08_12_15_52_06.258096011
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lrwxrwxrwx 1 root root 20 Aug 12 15:52 JobConfig.yml -> ..data/JobConfig.yml
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lrwxrwxrwx 1 root root 21 Aug 12 15:52 JobManager.yml -> ..data/JobManager.yml
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lrwxrwxrwx 1 root root 16 Aug 12 15:52 Setup.yml -> ..data/Setup.yml
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lrwxrwxrwx 1 root root 14 Aug 12 15:52 env.yml -> ..data/env.yml
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lrwxrwxrwx 1 root root 14 Aug 12 15:52 mappers -> ..data/mappers
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```
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The final link is the environment variable that instructs Redis Connect to use these mapped files:
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```
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env:
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- name: REDISCONNECT_CONFIG
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value: "/opt/redislabs/redis-connect/config/fromconfigmap"
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```
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## 4. Configure the Redis Connect Deployment Manifests
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Update both the `redis-connect-stage.yaml` and `redis-connect-start.yaml` to map the appropriate environment variables in the `env:` section. Notable, the `REDISCONNECT_SOURCE_USERNAME`, `REDISCONNECT_SOURCE_PASSWORD`, `REDISCONNECT_TARGET_USERNAME` and `REDISCONNECT_TARGET_PASSWORD`.
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Examples are provided to populate environment variables from the manifest/yaml, from configmap, and from k8s secrets for sensitive info such as credentials:
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```
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- name: REDISCONNECT_SOURCE_PASSWORD
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value: admin123
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# valueFrom:
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# configMapKeyRef:
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# key: REDISCONNECT_SOURCE_PASSWORD
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# name: redis-connect-config
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# valueFrom:
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# secretKeyRef:
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# key: password
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# name: redis-connect-secret
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```
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## 5. Stage the Redis Connect Job
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Apply the stage manifest as follows: `oc apply -f redis-connect-stage.yaml`. The outcome will be a k8s batch/Job which will run once and exit.
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```
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$ oc get po -w
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NAME READY STATUS RESTARTS AGE
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redis-connect-stage-lkvp2 0/1 Completed 0 44s
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```
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The effect of this stage operation is the configuration keys are loaded in to the target Redis instance defined in `env.yml`:`jobConfigConnection`. The Job should have an `UNASSIGNED` owner.
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## 6. Start the Redis Connect Job
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Apply the stage manifest as follows: `oc apply -f redis-connect-start.yaml`. The outcome will be a k8s apps/Deployment which will run continually.
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```
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$ oc get po -w
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NAME READY STATUS RESTARTS AGE
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redis-connect-cbc7dcd9d-k9mxj 1/1 Running 0 4s
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redis-connect-stage-lkvp2 0/1 Completed 0 3m10s
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```
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The effect of the above is that the Redis Connect job has started. The Job Owner should be specified in the in `env.yml`:`jobConfigConnection` Redis DB as `JC-xx@redis-connect-cbc7dcd9d-k9mxj` indicating that the pod created is the Redis Connect job owner. You should see your changes propagate to the `targetConnection` Redis database as defined in `env.yml`.
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---
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### Troubleshooting Options
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1. Tail the pod logs. `oc logs -f pod/redis-connect-cbc7dcd9d-k9mxj`
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2. Start the pods in interactive mode.
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* Launch the pods in a do/while loop instead of the redisconnect.sh start command:
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```
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#### uncomment the following two lines while you are setting up your
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command: [ "/bin/bash", "-c", "--" ]
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args: [ "while true; do sleep 30; done;" ]
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####
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# comment out the default starting point
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# command: ["/opt/redislabs/redis-connect/bin/redisconnect.sh", "start"]
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```
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* Now you can leverage the `bin/redisconnect.sh` enterpoint interactively to:
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* Test source and target connections
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* Run Redis Connect interactively to test a configuration
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3. Enable more verbose logging.
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* Adjust and add `logback.xml` to your ConfigMap
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* Add to the `volumeMounts` and `volumes` to leverage the map the `logback.xml` file.
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* Point to the file in the `REDISCONNECT_LOGBACK_CONFIG` environment variable.
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# Redis Connect in K8s

examples/mssql/k8s-docs/README.md

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# Redis Connect for MSSQL in K8s
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This repository describes the steps involved to deploy Redis Connect for MSSQL in K8s.
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Overall flow:
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1. Clone the Redis Connect for MSSQL repository.
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2. Configure Redis Connect as in <a href="../demo/config/samples/sqlserver" target="_blank">this set of docs</a>.
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3. Deploy the Redis Connect configuration to Kubernetes.
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4. Configure the Redis Connect deployment manifests.
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5. Stage the Redis Connect job.
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6. Start the Redis Connect job.
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**Note:** This doc uses `kubectl` and `oc` interchangeably.
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## 1. Clone the Redis Connect for MSSQL Repository
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Follow the [demo](../demo) steps then goto k8s-docs directory
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```
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redis-connect$ cd k8s-docs
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```
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## 2. Configure Redis Connect
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Configure the files to describe your Redis Connect Job. One sample configuration is <a href="../demo/config/samples/sqlserver" target="_blank">here</a>.
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Redis Connect is a Java application which is a client of both the source RDBMS and the target Redis. As such, you will need:
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* Source database details (endpoint, port, credentials)
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* <a href="../" target="_blank">CDC and replication configuration</a> completed on the source database system
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* Source schema details
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* Target Redis details and instances (one for the data, one for the Job configuration)
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Details for configuring Redis Connect for MSSQL are <a href="../demo/" target="_blank">here</a>.
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## 3. Deploy the Redis Connect Configuration to Kubernetes
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This deployment requires the use of K8s ConfigMaps. The necessary config maps will be uploaded from your local directories using the commands below.
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```
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$ cd ../demo/config/samples/sqlserver
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demo/config/samples/sqlserver$ ls
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FormatterConfig.yml JobManager.yml env.yml templates/
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JobConfig.yml Setup.yml mappers/
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```
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Here is an example of creating the ConfigMap. This command should be *run from the directory containing your config files*.
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```
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kubectl create configmap redis-connect-config \
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--from-file=JobConfig.yml=JobConfig.yml \
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--from-file=JobManager.yml=JobManager.yml \
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--from-file=env.yml=env.yml \
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--from-file=Setup.yml=Setup.yml \
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--from-file=mapper1.yml=mappers/mapper1.yml
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```
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The outcome is:
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```
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$ oc get configmap/redis-connect-config
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NAME DATA AGE
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redis-connect-config 5 5s
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```
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If you need to add a custom stage jar file then you can append that to the ConfigMap creation as follows:
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```
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kubectl create configmap redis-connect-config \
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--from-file=JobConfig.yml=JobConfig.yml \
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--from-file=JobManager.yml=JobManager.yml \
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--from-file=env.yml=env.yml \
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--from-file=Setup.yml=Setup.yml \
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--from-file=mapper1.yml=mappers/mapper1.yml \
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--from-file=redis-connect-custom-stage-demo-1.0-SNAPSHOT.jar=redis-connect-custom-stage-demo-1.0-SNAPSHOT.jar
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```
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The outcome is:
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```
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$ oc get configmap/redis-connect-config
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NAME DATA AGE
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redis-connect-config 6 12s
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```
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If the ConfigMap did not get created, it's likely that one of more of the source configuration files was not found (eg. JobConfig.yml) so please verify the path to your files.
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The details of the the command above are:
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`kubectl create configmap <configmap_name> --from-file=<key_name>=<path-to/file_name>`
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**Note:** ConfigMaps are immutable so if you are making changes to an existing configuration, you need to delete the existing configuration first.
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### How Does the ConfigMap get used?
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The values of keys in the ConfigMap will be mounted directly to the pod's filesystem.
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The following volume mount is defined in the manifests. The a will mount the resource `config-volume` to that `mountPath`.
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```
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volumeMounts:
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- name: config-volume
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mountPath: /opt/redislabs/redis-connect/config/fromconfigmap
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```
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The volume is defined through the following `volume` directive. It will mount the file/pth `JobConfig.yml` using the contents of the key named `JobConfig.yml` from the ConfigMap `redis-connect-config` in the `mountPath` define above.
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```
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volumes:
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- name: config-volume
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configMap:
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name: redis-connect-config
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items:
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- key: JobConfig.yml
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path: JobConfig.yml
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```
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The effect of this mapping in the pod's filesystem is the following:
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```
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root@redis-connect-7b7ccf87b9-sqshl> pwd
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/opt/redislabs/redis-connect/config/fromconfigmap
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root@redis-connect-7b7ccf87b9-sqshl> ls -al
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total 0
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drwxrwxrwx 3 root root 149 Aug 12 15:52 .
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drwxr-xr-x 1 root root 27 Aug 12 15:52 ..
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drwxr-xr-x 3 root root 96 Aug 12 15:52 ..2021_08_12_15_52_06.258096011
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lrwxrwxrwx 1 root root 31 Aug 12 15:52 ..data -> ..2021_08_12_15_52_06.258096011
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lrwxrwxrwx 1 root root 20 Aug 12 15:52 JobConfig.yml -> ..data/JobConfig.yml
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lrwxrwxrwx 1 root root 21 Aug 12 15:52 JobManager.yml -> ..data/JobManager.yml
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lrwxrwxrwx 1 root root 16 Aug 12 15:52 Setup.yml -> ..data/Setup.yml
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lrwxrwxrwx 1 root root 14 Aug 12 15:52 env.yml -> ..data/env.yml
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lrwxrwxrwx 1 root root 14 Aug 12 15:52 mappers -> ..data/mappers
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```
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The final link is the environment variable that instructs Redis Connect to use these mapped files:
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```
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env:
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- name: REDISCONNECT_CONFIG
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value: "/opt/redislabs/redis-connect/config/fromconfigmap"
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```
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## 4. Configure the Redis Connect Deployment Manifests
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Update both the `redis-connect-stage.yaml` and `redis-connect-start.yaml` to map the appropriate environment variables in the `env:` section. Notable, the `REDISCONNECT_SOURCE_USERNAME`, `REDISCONNECT_SOURCE_PASSWORD`, `REDISCONNECT_TARGET_USERNAME` and `REDISCONNECT_TARGET_PASSWORD`.
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Examples are provided to populate environment variables from the manifest/yaml, from configmap, and from k8s secrets for sensitive info such as credentials:
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```
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- name: REDISCONNECT_SOURCE_PASSWORD
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value: admin123
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# valueFrom:
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# configMapKeyRef:
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# key: REDISCONNECT_SOURCE_PASSWORD
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# name: redis-connect-config
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# valueFrom:
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# secretKeyRef:
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# key: password
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# name: redis-connect-secret
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```
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## 5. Stage the Redis Connect Job
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Apply the stage manifest as follows: `oc apply -f redis-connect-stage.yaml`. The outcome will be a k8s batch/Job which will run once and exit.
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```
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$ oc get po -w
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NAME READY STATUS RESTARTS AGE
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redis-connect-stage-lkvp2 0/1 Completed 0 44s
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```
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The effect of this stage operation is the configuration keys are loaded in to the target Redis instance defined in `env.yml`:`jobConfigConnection`. The Job should have an `UNASSIGNED` owner.
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## 6. Start the Redis Connect Job
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Apply the stage manifest as follows: `oc apply -f redis-connect-start.yaml`. The outcome will be a k8s apps/Deployment which will run continually.
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```
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$ oc get po -w
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NAME READY STATUS RESTARTS AGE
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redis-connect-cbc7dcd9d-k9mxj 1/1 Running 0 4s
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redis-connect-stage-lkvp2 0/1 Completed 0 3m10s
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```
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The effect of the above is that the Redis Connect job has started. The Job Owner should be specified in the in `env.yml`:`jobConfigConnection` Redis DB as `JC-xx@redis-connect-cbc7dcd9d-k9mxj` indicating that the pod created is the Redis Connect job owner. You should see your changes propagate to the `targetConnection` Redis database as defined in `env.yml`.
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---
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### Troubleshooting Options
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1. Tail the pod logs. `oc logs -f pod/redis-connect-cbc7dcd9d-k9mxj`
174-
2. Start the pods in interactive mode.
175-
* Launch the pods in a do/while loop instead of the redisconnect.sh start command:
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```
177-
#### uncomment the following two lines while you are setting up your
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command: [ "/bin/bash", "-c", "--" ]
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args: [ "while true; do sleep 30; done;" ]
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####
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# comment out the default starting point
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# command: ["/opt/redislabs/redis-connect/bin/redisconnect.sh", "start"]
183-
```
184-
* Now you can leverage the `bin/redisconnect.sh` enterpoint interactively to:
185-
* Test source and target connections
186-
* Run Redis Connect interactively to test a configuration
187-
3. Enable more verbose logging.
188-
* Adjust and add `logback.xml` to your ConfigMap
189-
* Add to the `volumeMounts` and `volumes` to leverage the map the `logback.xml` file.
190-
* Point to the file in the `REDISCONNECT_LOGBACK_CONFIG` environment variable.
191-
1+
# Redis Connect in K8s

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