Merge pull request #14 from msdotnetclr/issue-13

introduced new source detail option for eventhub source:  eventhub.accessKeySecretName
Details can be found [here](#13)

Author: ravi-databricks

CHANGELOG.md

@@ -9,6 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 [Please read through the Keep a Changelog (~5min)](https://keepachangelog.com/en/1.0.0/).
 
+## [v0.0.4] - 2023-10-09
+### Added
+- Functionality to introduce an new option for event hub configuration. Namely a source_details option 'eventhub.accessKeySecretName' to properly construct the eh_shared_key_value properly. Without this option, there were errors while connecting to the event hub service (linked to [issue-13 - java.lang.RuntimeException: non-nullable field authBytes was serialized as null #13](https://github.com/databrickslabs/dlt-meta/issues/13))
+
 ## [v0.0.3] - 2023-06-07
 ### Fixed
 -  infer datatypes from sequence_by to __START_AT, __END_AT for apply changes API

docs/content/getting_started/additionals.md

@@ -23,7 +23,7 @@ export DATABRICKS_TOKEN=<DATABRICKS TOKEN> # Account needs permission to create
 5. Run integration test against cloudfile or eventhub or kafka using below options:
     5a. Run the command for cloudfiles ```python integration-tests/run-integration-test.py  --cloud_provider_name=aws --dbr_version=11.3.x-scala2.12 --source=cloudfiles --dbfs_path=dbfs:/tmp/DLT-META/```
 
-    5b. Run the command for eventhub ```python integration-tests/run-integration-test.py --cloud_provider_name=azure --dbr_version=11.3.x-scala2.12 --source=eventhub --dbfs_path=dbfs:/tmp/DLT-META/ --eventhub_name=iot --eventhub_secrets_scope_name=eventhubs_creds --eventhub_namespace=int_test-standard --eventhub_port=9093 --eventhub_producer_accesskey_name=producer --eventhub_consumer_accesskey_name=consumer```
+    5b. Run the command for eventhub ```python integration-tests/run-integration-test.py --cloud_provider_name=azure --dbr_version=11.3.x-scala2.12 --source=eventhub --dbfs_path=dbfs:/tmp/DLT-META/ --eventhub_name=iot --eventhub_secrets_scope_name=eventhubs_creds --eventhub_namespace=int_test-standard --eventhub_port=9093 --eventhub_producer_accesskey_name=producer --eventhub_producer_accesskey_secret_name=producer --eventhub_consumer_accesskey_name=consumer --eventhub_consumer_accesskey_secret_name=consumer```
 
     For eventhub integration tests, the following are the prerequisites:
     1. Needs eventhub instance running
@@ -36,7 +36,9 @@ export DATABRICKS_TOKEN=<DATABRICKS TOKEN> # Account needs permission to create
     3. Provide eventhub port : --eventhub_port
     4. Provide databricks secret scope name : --eventhub_secrets_scope_name
     5. Provide eventhub producer access key name : --eventhub_producer_accesskey_name
-    6. Provide eventhub access key name : --eventhub_consumer_accesskey_name
+    6. Provide eventhub consumer access key name : --eventhub_consumer_accesskey_name
+    7. Provide eventhub producer access key secret name : --eventhub_producer_accesskey_secret_name
+    8. Provide eventhub consumer access key secret name : --eventhub_consumer_accesskey_secret_name
 
 
     5c. Run the command for kafka ```python3 integration-tests/run-integration-test.py --cloud_provider_name=aws --dbr_version=11.3.x-scala2.12 --source=kafka --dbfs_path=dbfs:/tmp/DLT-META/ --kafka_topic_name=dlt-meta-integration-test --kafka_broker=host:9092```

docs/content/getting_started/metadatapreperation.md

@@ -17,7 +17,7 @@ draft: false
 | data_flow_id | This is unique identifer for pipeline |
 | data_flow_group | This is group identifer for launching multiple pipelines under single DLT |
 | source_format | 	Source format e.g `cloudFiles`, `eventhub`, `kafka`, `delta` |
-| source_details | This map Type captures all source details for cloudfiles = `source_schema_path`, `source_path_{env}`, `source_database` and for eventhub= `source_schema_path` , `eventhub.accessKeyName`, `eventhub.name` , `eventhub.secretsScopeName` , `kafka.sasl.mechanism`, `kafka.security.protocol`, `eventhub.namespace`, `eventhub.port`. For Source schema file spark DDL schema format parsing is supported <br> In case of custom schema format then write schema parsing function `bronze_schema_mapper(schema_file_path, spark):Schema` and provide to `OnboardDataflowspec` initialization <br> .e.g `onboardDataFlowSpecs = OnboardDataflowspec(spark, dict_obj,bronze_schema_mapper).onboardDataFlowSpecs()`   |         
+| source_details | This map Type captures all source details for cloudfiles = `source_schema_path`, `source_path_{env}`, `source_database` and for eventhub= `source_schema_path` , `eventhub.accessKeyName`, `eventhub.accessKeySecretName`, `eventhub.name` , `eventhub.secretsScopeName` , `kafka.sasl.mechanism`, `kafka.security.protocol`, `eventhub.namespace`, `eventhub.port`. For Source schema file spark DDL schema format parsing is supported <br> In case of custom schema format then write schema parsing function `bronze_schema_mapper(schema_file_path, spark):Schema` and provide to `OnboardDataflowspec` initialization <br> .e.g `onboardDataFlowSpecs = OnboardDataflowspec(spark, dict_obj,bronze_schema_mapper).onboardDataFlowSpecs()`   |         
 | bronze_database_{env} | 	Delta lake bronze database name. |
 | bronze_table | 	Delta lake bronze table name |
 | bronze_reader_options | 	Reader options which can be provided to spark reader <br> e.g multiline=true,header=true in json format |

examples/onboarding.json

@@ -88,6 +88,7 @@
          "source_schema_path": "{dbfs_path}/integration-tests/resources/eventhub_iot_schema.ddl",
          "eventhub.accessKeyName": "{eventhub_accesskey_name}",
          "eventhub.name": "{eventhub_name}",
+         "eventhub.accessKeySecretName": "{eventhub_accesskey_secret_name}",
          "eventhub.secretsScopeName": "{eventhub_secrets_scope_name}",
          "kafka.sasl.mechanism": "PLAIN",
          "kafka.security.protocol": "SASL_SSL",
@@ -120,4 +121,4 @@
       "silver_table_path_prd": "",
       "silver_transformation_json_it": ""
    }
-]
+]

integration-tests/conf/dlt-meta/eventhub-onboarding.template

@@ -8,6 +8,7 @@
             "source_schema_path": "{dbfs_path}/integration-tests/resources/eventhub_iot_schema.ddl",
             "eventhub.accessKeyName": "{eventhub_accesskey_name}",
             "eventhub.name": "{eventhub_name}",
+            "eventhub.accessKeySecretName": "{eventhub_accesskey_secret_name}",
             "eventhub.secretsScopeName": "{eventhub_secrets_scope_name}",
             "kafka.sasl.mechanism": "PLAIN",
             "kafka.security.protocol": "SASL_SSL",
@@ -16,7 +17,7 @@
         },
         "bronze_reader_options": {
             "maxOffsetsPerTrigger": "50000",
-            "startingOffsets": "latest",
+            "startingOffsets": "earliest",
             "failOnDataLoss": "false",
             "kafka.request.timeout.ms": "60000",
             "kafka.session.timeout.ms": "60000"

integration-tests/eventhub_runners.dbc

@@ -212,6 +212,7 @@ def create_eventhub_workflow_spec(args, job_spec_dict):
                         "eventhub_namespace": args.__getattribute__("eventhub_namespace"),
                         "eventhub_secrets_scope_name": args.__getattribute__("eventhub_secrets_scope_name"),
                         "eventhub_accesskey_name": args.__getattribute__("eventhub_producer_accesskey_name"),
+                        "eventhub_accesskey_secret_name": args.__getattribute__("eventhub_producer_accesskey_secret_name"),
                         "eventhub_input_data": f"/{dbfs_file_path}/integration-tests/resources/data/iot/iot.json"
                     }
                 }
@@ -498,6 +499,7 @@ def create_eventhub_onboarding(args, eventhub_template, dbfs_tmp_path, run_id):
         onboard_obj = json.load(f)
     eventhub_name = args.__getattribute__("eventhub_name").lower()
     eventhub_accesskey_name = args.__getattribute__("eventhub_consumer_accesskey_name").lower()
+    eventhub_accesskey_secret_name = args.__getattribute__("eventhub_consumer_accesskey_secret_name").lower()
     eventhub_secrets_scope_name = args.__getattribute__("eventhub_secrets_scope_name").lower()
     eventhub_namespace = args.__getattribute__("eventhub_namespace").lower()
     eventhub_port = args.__getattribute__("eventhub_port").lower()
@@ -511,6 +513,8 @@ def create_eventhub_onboarding(args, eventhub_template, dbfs_tmp_path, run_id):
                         data_flow[key][source_key] = source_value.format(eventhub_name=eventhub_name)
                     if 'eventhub_accesskey_name' in source_value:
                         data_flow[key][source_key] = source_value.format(eventhub_accesskey_name=eventhub_accesskey_name)
+                    if 'eventhub_accesskey_secret_name' in source_value:
+                        data_flow[key][source_key] = source_value.format(eventhub_accesskey_secret_name=eventhub_accesskey_secret_name)
                     if 'eventhub_secrets_scope_name' in source_value:
                         data_flow[key][source_key] = source_value.format(eventhub_secrets_scope_name=eventhub_secrets_scope_name)
                     if 'eventhub_nmspace' in source_value:
@@ -662,6 +666,8 @@ def process_arguments():
     parser.add_argument("--eventhub_name", help="Provide eventhub_name e.g --eventhub_name=iot")
     parser.add_argument("--eventhub_producer_accesskey_name", help="Provide access key that has write permission on the eventhub e.g --eventhub_producer_accesskey_name=iotProducerAccessKey")
     parser.add_argument("--eventhub_consumer_accesskey_name", help="Provide access key that has read permission on the eventhub  e.g --eventhub_consumer_accesskey_name=iotConsumerAccessKey")
+    parser.add_argument("--eventhub_producer_accesskey_secret_name", help="Provide name of the secret that stores access key with write permission on the eventhub. Optional if same as `eventhub_producer_accesskey_name` e.g --eventhub_producer_accesskey_secret_name=iotProducerAccessKey")
+    parser.add_argument("--eventhub_consumer_accesskey_secret_name", help="Provide name of the secret that stores access key with read permission on the eventhub. Optional if same as `eventhub_consumer_accesskey_name`  e.g --eventhub_consumer_accesskey_secret_name=iotConsumerAccessKey")
     parser.add_argument("--eventhub_secrets_scope_name",
                         help="Provide eventhub_secrets_scope_name e.g --eventhub_secrets_scope_name=eventhubs_creds")
     parser.add_argument("--eventhub_namespace", help="Provide eventhub_namespace e.g --eventhub_namespace=topic-standard")
@@ -684,7 +690,15 @@ def process_arguments():
     if source.lower() not in supported_sources:
         raise Exception("Invalid value for --source! Supported values: --source=cloudfiles")
     if source.lower() == "eventhub":
-        eventhub_madatory_args = ["eventhub_name", "eventhub_producer_accesskey_name", "eventhub_consumer_accesskey_name", "eventhub_secrets_scope_name", "eventhub_namespace", "eventhub_port"]
+        eventhub_madatory_args = ["eventhub_name",
+                                  "eventhub_producer_accesskey_name",
+                                  "eventhub_consumer_accesskey_name",
+                                  "eventhub_secrets_scope_name",
+                                  "eventhub_producer_accesskey_secret_name",
+                                  "eventhub_consumer_accesskey_secret_name",
+                                  "eventhub_namespace",
+                                  "eventhub_port"
+                                  ]
         check_mandatory_arg(args, eventhub_madatory_args)
     if source.lower() == "kafka":
         kafka_madatory_args = ["kafka_topic_name", "kafka_broker"]

integration-tests/run-integration-test.py

@@ -19,7 +19,7 @@
     """
 setup(
     name="dlt_meta",
-    version="0.0.3",
+    version="0.0.4",
     python_requires=">=3.8",
     setup_requires=["wheel>=0.37.1,<=0.41.2"],
     install_requires=INSTALL_REQUIRES,

setup.py

@@ -120,8 +120,12 @@ def get_eventhub_kafka_options(spark, bronze_dataflow_spec):
         eh_port = bronze_dataflow_spec.sourceDetails.get("eventhub.port")
         eh_name = bronze_dataflow_spec.sourceDetails.get("eventhub.name")
         eh_shared_key_name = bronze_dataflow_spec.sourceDetails.get("eventhub.accessKeyName")
+        secret_name = bronze_dataflow_spec.sourceDetails.get("eventhub.accessKeySecretName")
+        if not secret_name:
+            # set default value if "eventhub.accessKeySecretName" is not specified
+            secret_name = eh_shared_key_name
         secret_scope = bronze_dataflow_spec.sourceDetails.get("eventhub.secretsScopeName")
-        eh_shared_key_value = dbutils.secrets.get(secret_scope, eh_shared_key_name)
+        eh_shared_key_value = dbutils.secrets.get(secret_scope, secret_name)
         eh_shared_key_value = f"SharedAccessKeyName={eh_shared_key_name};SharedAccessKey={eh_shared_key_value}"
         eh_conn_str = f"Endpoint=sb://{eh_namespace}.servicebus.windows.net/;{eh_shared_key_value}"
         eh_kafka_str = "kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule"

src/pipeline_readers.py

@@ -116,6 +116,7 @@
          "source_schema_path": "tests/resources/schema/eventhub_iot_schema.ddl",
          "eventhub.accessKeyName": "iotIngestionAccessKey",
          "eventhub.name": "iot",
+         "eventhub.accessKeySecretName": "iotIngestionAccessKey",
          "eventhub.secretsScopeName": "eventhubs_creds",
          "kafka.sasl.mechanism": "PLAIN",
          "kafka.security.protocol": "SASL_SSL",