Add in YAML and UI for ODCS and Iceberg

docs/setup/guide/data-source/file/iceberg.md

@@ -47,6 +47,7 @@ Create a new Java or Scala class.
 
 - Java: `src/main/java/io/github/datacatering/plan/MyIcebergJavaPlan.java`
 - Scala: `src/main/scala/io/github/datacatering/plan/MyIcebergPlan.scala`
+- YAML: `docker/data/customer/plan/my-iceberg.yaml`
 
 Make sure your class extends `PlanRun`.
 
@@ -68,6 +69,22 @@ Make sure your class extends `PlanRun`.
     }
     ```
 
+=== "YAML"
+
+    In `docker/data/custom/plan/my-iceberg.yaml`:
+    ```yaml
+    name: "my_iceberg_plan"
+    description: "Create account data in Iceberg table"
+    tasks:
+      - name: "iceberg_account_table"
+        dataSourceName: "customer_accounts"
+        enabled: true
+    ```
+
+=== "UI"
+
+    Check next section.
+
 This class defines where we need to define all of our configurations for generating data. There are helper variables and
 methods defined to make it simple and easy to use.
 
@@ -105,6 +122,30 @@ Within our class, we can start by defining the connection properties to read/wri
 
     Additional options can be found [**here**](https://iceberg.apache.org/docs/1.5.0/spark-configuration/#catalog-configuration).
 
+=== "YAML"
+
+    In `application.conf`:
+    ```
+    iceberg {
+      customer_accounts {
+        path = "/opt/app/data/customer/iceberg"
+        path = ${?ICEBERG_WAREHOUSE_PATH}
+        catalogType = "hadoop"
+        catalogType = ${?ICEBERG_CATALOG_TYPE}
+        catalogUri = ""
+        catalogUri = ${?ICEBERG_CATALOG_URI}
+      }
+    }
+    ```
+
+=== "UI"
+
+    1. Go to `Connection` tab in the top bar
+    2. Select data source as `Iceberg`
+        1. Enter in data source name `customer_accounts`
+        2. Select catalog type `hadoop`
+        3. Enter warehouse path as `/opt/app/data/customer/iceberg`
+
 #### Schema
 
 Depending on how you want to define the schema, follow the below:
@@ -139,15 +180,50 @@ have unique values generated.
     execute(myPlan, config, accountTask, transactionTask)
     ```
 
+=== "YAML"
+
+    In `application.conf`:
+    ```
+    flags {
+      enableUniqueCheck = true
+    }
+    folders {
+      generatedReportsFolderPath = "/opt/app/data/report"
+    }
+    ```
+
+=== "UI"
+
+    1. Click on `Advanced Configuration` towards the bottom of the screen
+    2. Click on `Flag` and click on `Unique Check`
+    3. Click on `Folder` and enter `/tmp/data-caterer/report` for `Generated Reports Folder Path`
+
 ### Run
 
 Now we can run via the script `./run.sh` that is in the top level directory of the `data-caterer-example` to run the class we just
 created.
 
-```shell
-./run.sh
-#input class MyIcebergJavaPlan or MyIcebergPlan
-```
+=== "Java"
+
+    ```shell
+    ./run.sh MyIcebergJavaPlan
+    ```
+
+=== "Scala"
+
+    ```shell
+    ./run.sh MyIcebergPlan
+    ```
+
+=== "YAML"
+
+    ```shell
+    ./run.sh my-iceberg.yaml
+    ```
+
+=== "UI"
+
+    1. Click on `Execute` at the top
 
 Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the
 `IcebergJavaPlan.java` or `IcebergPlan.scala` files as well to check that your plan is the same.