See the supported connectors for Application Integration.
Merge two JSON arrays
Using the Data Mapping task, merge two JSON arrays, and store the resultant output in a new JSON variable.
Code sample
{
"triggerConfigs": [{
"label": "API Trigger",
"startTasks": [{
"taskId": "1"
}],
"properties": {
"Trigger name": "test_string_case_conversion_API_1"
},
"triggerType": "API",
"triggerNumber": "1",
"triggerId": "api_trigger/test_string_case_conversion_API_1"
}],
"taskConfigs": [{
"task": "FieldMappingTask",
"taskId": "1",
"parameters": {
"FieldMappingConfigTaskParameterKey": {
"key": "FieldMappingConfigTaskParameterKey",
"value": {
"jsonValue": "{\n \"@type\": \"type.googleapis.com/enterprise.crm.eventbus.proto.FieldMappingConfig\",\n \"mappedFields\": [{\n \"inputField\": {\n \"fieldType\": \"JSON_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"referenceValue\": \"$inputJsonArray1$\"\n },\n \"transformationFunctions\": [{\n \"functionType\": {\n \"jsonFunction\": {\n \"functionName\": \"MERGE\"\n }\n },\n \"parameters\": [{\n \"initialValue\": {\n \"referenceValue\": \"$inputJsonArray2$\"\n }\n }]\n }]\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$outputJsonArray$\",\n \"fieldType\": \"JSON_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }]\n}"
}
}
},
"taskExecutionStrategy": "WHEN_ALL_SUCCEED",
"displayName": "Data Mapping"
}],
"integrationParameters": [{
"key": "outputJsonArray",
"dataType": "JSON_VALUE",
"displayName": "outputJsonArray"
}, {
"key": "inputJsonArray1",
"dataType": "JSON_VALUE",
"defaultValue": {
"jsonValue": "[{\n \"name\": \"Abhishek\",\n \"course\": \"Mechanical\"\n}, {\n \"name\": \"Chirag\",\n \"course\": \"Civil\"\n}, {\n \"name\": \"Sachin\",\n \"course\": \"Medical\"\n}, {\n \"name\": \"Vivek\",\n \"course\": \"Software\"\n}]"
},
"displayName": "inputJsonArray1",
"jsonSchema": "{\n \"$schema\": \"http://json-schema.org/draft-04/schema#\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\"\n },\n \"course\": {\n \"type\": \"string\"\n }\n }\n }\n}"
}, {
"key": "inputJsonArray2",
"dataType": "JSON_VALUE",
"defaultValue": {
"jsonValue": "[{\n \"name\": \"Shubham\",\n \"course\": \"IT\"\n}, {\n \"name\": \"Dravid\",\n \"course\": \"Mechanical\"\n}]"
},
"displayName": "inputJsonArray2",
"jsonSchema": "{\n \"$schema\": \"http://json-schema.org/draft-04/schema#\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\"\n },\n \"course\": {\n \"type\": \"string\"\n }\n }\n }\n}"
}],
"userLabel": "v1"
}
Upload and run the sample integration
To upload and run the sample integration, do the following steps:
- Save the integration sample as a .json file on your system.
- In the Google Cloud console, go to the Application Integration page.
Go to Application Integration
- In the navigation menu, click Integrations. The Integrations List page appears.
- Select an existing integration or create a new integration by clicking Create integration.
If you are creating a new integration:
- Enter a name and description in the Create Integration dialog.
- Select a Region for the integration from the list of supported regions.
- Click Create.
This opens the integration in the integration designer.
- In the integration designer, click publishUpload/download menu and then select Upload integration.
- In the file browser dialog, select the file that you saved in step 1, and then click Open.
A new version of the integration is created using the uploaded file.
- In the integration designer, click Test.
- Click Test integration. This runs the integration and displays the execution result in the Test Integration dialog.