update to add ventress

docs/getting-started/index.md

@@ -46,6 +46,7 @@ App details: [https://ibm.github.io/event-streams/getting-started/generating-sta
     | Mandalorian | [https://cpd-cp4i.apps.mandalorian.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted](https://cpd-cp4i.apps.mandalorian.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted) |
     | Cody| [https://cpd-cp4i.apps.cody.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted](https://cpd-cp4i.apps.cody.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted) |
     | Grievous | [https://cpd-cp4i.apps.grievous.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted](https://cpd-cp4i.apps.grievous.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted) |  
+    | Ventress | [ https://cpd-cp4i.apps.ventress.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted]( https://cpd-cp4i.apps.ventress.coc-ibm.com/integration/kafka-clusters/cp4i-eventstreams/es-demo/gettingstarted) |
 
 
     ![](./images/lab-1-es-1.png)

docs/getting-started/mm2.md

@@ -79,6 +79,7 @@ Use one of the following KafkaConnect_URL depending on the Openshift Cluster tha
 | Mandalorian | [connect-cp4i-eventstreams.apps.mandalorian.coc-ibm.com](https://cconnect-cp4i-eventstreams.apps.mandalorian.coc-ibm.com) |
 | Cody| [connect-cp4i-eventstreams.apps.cody.coc-ibm.com](https://cconnect-cp4i-eventstreams.apps.cody.coc-ibm.com)  |
 | Grievous | [connect-cp4i-eventstreams.apps.grievous.coc-ibm.com](https://cconnect-cp4i-eventstreams.apps.grievous.coc-ibm.com)  |  
+| ventress | [cconnect-cp4i-eventstreams.apps.ventress.coc-ibm.com]( https://cconnect-cp4i-eventstreams.apps.ventress.coc-ibm.com/) |
 
 ### 3. Kafka Connect
 

docs/lab2/kstream.md

@@ -67,6 +67,7 @@ Then Kstream offers a lot of functions to process the records. Below is a quick
 | [aggregate](https://kafka.apache.org/30/javadoc/org/apache/kafka/streams/kstream/KGroupedStream.html#aggregate) | Aggregate the values of records in this stream by the grouped key | .aggregate(() ->  new StoreInventory(), (store , newItem, existingStoreInventory) -> existingStoreInventory.updateStockQuantity(store,newItem), materializeAsStoreInventoryKafkaStore());        |
 | [split](https://kafka.apache.org/30/javadoc/org/apache/kafka/streams/kstream/KStream.html#split()) | Split a stream into branches| items.split(Named.as("B-")) |
 | [BranchedKStream](https://kafka.apache.org/30/javadoc/org/apache/kafka/streams/kstream/BranchedKStream.html) | Branches the records in the original stream based on the predicates supplied for the branch definitions. |  .branch((k,v) -> (v.storeName == null), Branched.as("wrong-tx")).defaultBranch(Branched.as("good-tx"));   branches.get("B-good-tx").to(outTopicName); branches.get("B-wrong-tx").to(deadLetterTopicName); |
+| [selectKey](https://kafka.apache.org/32/javadoc/org/apache/kafka/streams/kstream/KStream.html#selectKey(org.apache.kafka.streams.kstream.KeyValueMapper)) | Change the key of a record | 
 
 ### KTable