Dynamics AX connector stops getting records after amount of time
Hello everyone, I am using the Dynamics AX connector to get data out of Finance. After a certain amount of time it suddenly doesnt get any new records anymore and it keeps running until it reaches the general timeout. It gets 290,000 records in like 01:30:00 and then keeps running and doesn't get new records anymore. Sometimes it gets stuck earlier or later. Sometimes it also gives me this error: Failure happened on 'Source' side. ErrorCode=ODataRequestTimeout,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Fail to get response from odata service in a expected time.,Source=Microsoft.DataTransfer.Runtime.ODataConnector,''Type=System.Threading.Tasks.TaskCanceledException,Message=A task was canceled.,Source=mscorlib,' This is my pipeline JSON: { "name": "HICT - Init Sync SalesOrders", "properties": { "activities": [ { "name": "Get FO SalesOrders", "type": "Copy", "dependsOn": [], "policy": { "timeout": "0.23:00:00", "retry": 0, "retryIntervalInSeconds": 30, "secureOutput": false, "secureInput": false }, "userProperties": [], "typeProperties": { "source": { "type": "DynamicsAXSource", "query": "$filter=FM_InterCompanyOrder eq Microsoft.Dynamics.DataEntities.NoYes'No' and dataAreaId eq 'prev'&$select=SalesOrderNumber,SalesOrderName,IsDeliveryAddressPrivate,FormattedInvoiceAddress,FormattedDeliveryAddress,ArePricesIncludingSalesTax,RequestedReceiptDate,QuotationNumber,PriceCustomerGroupCode,PBS_PreferredInvoiceDate,PaymentTermsBaseDate,OrderTotalTaxAmount,OrderTotalChargesAmount,OrderTotalAmount,TotalDiscountAmount,IsInvoiceAddressPrivate,InvoiceBuildingCompliment,InvoiceAddressZipCode,LanguageId,IsDeliveryAddressOrderSpecific,IsOneTimeCustomer,InvoiceAddressStreetNumber,InvoiceAddressStreet,InvoiceAddressStateId,InvoiceAddressPostBox,InvoiceAddressLongitude,InvoiceAddressLatitude,InvoiceAddressDistrictName,InvoiceAddressCountyId,InvoiceAddressCountryRegionISOCode,InvoiceAddressCity,FM_Deadline,Email,DeliveryTermsCode,DeliveryModeCode,DeliveryBuildingCompliment,DeliveryAddressCountryRegionISOCode,DeliveryAddressZipCode,DeliveryAddressStreetNumber,SalesOrderStatus,DeliveryAddressStreet,DeliveryAddressStateId,SalesOrderPromisingMethod,DeliveryAddressPostBox,DeliveryAddressName,DeliveryAddressLongitude,DeliveryAddressLocationId,DeliveryAddressLatitude,DeliveryAddressDunsNumber,DeliveryAddressDistrictName,DeliveryAddressDescription,DeliveryAddressCountyId,DeliveryAddressCity,CustomersOrderReference,IsSalesProcessingStopped,CustomerRequisitionNumber,SalesOrderProcessingStatus,CurrencyCode,ConfirmedShippingDate,ConfirmedReceiptDate,SalesOrderOriginCode,URL,OrderingCustomerAccountNumber,InvoiceCustomerAccountNumber,ContactPersonId,FM_WorkerSalesTaker,FM_SalesResponsible,PaymentTermsName,DefaultShippingSiteId,DefaultShippingWarehouseId,DeliveryModeCode,dataAreaId,FM_InterCompanyOrder&cross-company=true", "httpRequestTimeout": "00:15:00", "additionalHeaders": { "Prefer": "odata.maxpagesize=1000" }, "retrieveEnumValuesAsString": true }, "sink": { "type": "JsonSink", "storeSettings": { "type": "AzureBlobStorageWriteSettings", "copyBehavior": "FlattenHierarchy" }, "formatSettings": { "type": "JsonWriteSettings" } }, "enableStaging": false, "enableSkipIncompatibleRow": true, "logSettings": { "enableCopyActivityLog": true, "copyActivityLogSettings": { "logLevel": "Warning", "enableReliableLogging": false }, "logLocationSettings": { "linkedServiceName": { "referenceName": "AzureBlobStorage", "type": "LinkedServiceReference" }, "path": "ceexports" } } }, "inputs": [ { "referenceName": "AX_SalesOrders_Dynamics_365_FO_ACC", "type": "DatasetReference" } ], "outputs": [ { "referenceName": "Orders_FO_D365_Data_JSON", "type": "DatasetReference" } ] }, { "name": "Get_All_CE_Table_Data", "type": "ForEach", "dependsOn": [ { "activity": "Get FO SalesOrders", "dependencyConditions": [ "Completed" ] } ], "userProperties": [], "typeProperties": { "items": { "value": "@pipeline().parameters.CE_Tables", "type": "Expression" }, "activities": [ { "name": "Copy_CE_TableData", "type": "Copy", "dependsOn": [], "policy": { "timeout": "0.12:00:00", "retry": 0, "retryIntervalInSeconds": 30, "secureOutput": false, "secureInput": false }, "userProperties": [], "typeProperties": { "source": { "type": "CommonDataServiceForAppsSource" }, "sink": { "type": "DelimitedTextSink", "storeSettings": { "type": "AzureBlobStorageWriteSettings", "copyBehavior": "FlattenHierarchy" }, "formatSettings": { "type": "DelimitedTextWriteSettings", "quoteAllText": true, "fileExtension": ".txt" } }, "enableStaging": false }, "inputs": [ { "referenceName": "CE_Look_Up_Tables", "type": "DatasetReference", "parameters": { "entiryName": "@item().sourceDataset" } } ], "outputs": [ { "referenceName": "CE_GenericBlobSink", "type": "DatasetReference", "parameters": { "sinkPath": { "value": "@item().sinkPath", "type": "Expression" } } } ] } ] } }, { "name": "Transform_Create_CE_JSON", "type": "ExecuteDataFlow", "dependsOn": [ { "activity": "Get_All_CE_Table_Data", "dependencyConditions": [ "Succeeded" ] } ], "policy": { "timeout": "0.12:00:00", "retry": 0, "retryIntervalInSeconds": 30, "secureOutput": false, "secureInput": false }, "userProperties": [], "typeProperties": { "dataflow": { "referenceName": "FO_Transform_CE_Select", "type": "DataFlowReference" }, "compute": { "coreCount": 16, "computeType": "General" }, "traceLevel": "Fine" } } ], "parameters": { "CE_Tables": { "type": "array", "defaultValue": [ { "name": "D365_CE_ACC_AccountRelations", "sourceDataset": "crmp_accountrelation", "sinkPath": "ce-exports/D365_CE_ACC_AccountRelations.json" }, { "name": "D365_CE_ACC_ContactRelations", "sourceDataset": "crmp_contactrelation", "sinkPath": "ce-exports/D365_CE_ACC_ContactRelations.json" }, { "name": "D365_CE_ACC_PriceCustomerGroup", "sourceDataset": "msdyn_pricecustomergroup", "sinkPath": "ce-exports/D365_CE_ACC_PriceCustomerGroup.json" }, { "name": "D365_CE_ACC_SalesOrderOrigin", "sourceDataset": "odin_salesorderorigin", "sinkPath": "ce-exports/D365_CE_ACC_SalesOrderOrigin.json" }, { "name": "D365_CE_ACC_ShipVia", "sourceDataset": "msdyn_shipvia", "sinkPath": "ce-exports/D365_CE_ACC_ShipVia.json" }, { "name": "D365_CE_ACC_SystemUser", "sourceDataset": "systemuser", "sinkPath": "ce-exports/D365_CE_ACC_SystemUser.json" }, { "name": "D365_CE_ACC_TermsOfDelivery", "sourceDataset": "msdyn_termsofdelivery", "sinkPath": "ce-exports/D365_CE_ACC_TermsOfDelivery.json" }, { "name": "D365_CE_ACC_Worker", "sourceDataset": "cdm_worker", "sinkPath": "ce-exports/D365_CE_ACC_Worker.json" }, { "name": "D365_CE_ACC_TransactionCurrency", "sourceDataset": "transactioncurrency", "sinkPath": "ce-exports/D365_CE_ACC_TransactionCurrency.json" }, { "name": "D365_CE_ACC_Warehouse", "sourceDataset": "msdyn_warehouse", "sinkPath": "ce-exports/D365_CE_ACC_Warehouse.json" }, { "name": "D365_CE_ACC_OperationalSite", "sourceDataset": "msdyn_operationalsite", "sinkPath": "ce-exports/D365_CE_ACC_OperationalSite.json" }, { "name": "D365_CE_ACC_PaymentTerms", "sourceDataset": "odin_paymentterms", "sinkPath": "ce-exports/D365_CE_ACC_PaymentTerms.json" } ] } }, "annotations": [], "lastPublishTime": "2025-07-30T12:55:32Z" }, "type": "Microsoft.DataFactory/factories/pipelines" }
Copy Activity Successful, But Times Out
This appears to be an edge case, but I wanted to share. A copy activity is successful, but times out. Duration is 1:58:55. Times out at 2:00:12. Runs a second time time and is successful, loading duplicate records. The duplicate records is the undesired result. Copy Activity General Timeout: 0.02:00:00 Retry: 2 Source mySQL Parameterized SQL Parameterized Sink Synapse SQL Pool Parameterized Copy method: COPY command Settings Use V2 Hiearchy storage for staging General Synapse/ADF Managed Network
Oracle 2.0 Upgrade Woes with Self-Hosted Integration Runtime
This past weekend my ADF instance finally got the prompt to upgrade linked services that use the Oracle 1.0 connector, so I thought, "no problem!" and got to work upgrading my self-hosted integration runtime to 5.50.9171.1 Most of my connection use service_name during authentication, so https://learn.microsoft.com/en-us/azure/data-factory/connector-oracle?tabs=data-factory, I should be able to connect using the Easy Connect (Plus) Naming convention. When I do, I encounter this error: Test connection operation failed. Failed to open the Oracle database connection. ORA-50201: Oracle Communication: Failed to connect to server or failed to parse connect string ORA-12650: No common encryption or data integrity algorithm https://docs.oracle.com/error-help/db/ora-12650/ I did some digging on this error code, and the troubleshooting doc suggests that I reach out to my Oracle DBA to update Oracle server settings. Which, I did, but I have zero confidence the DBA will take any action. https://learn.microsoft.com/en-us/azure/data-factory/connector-troubleshoot-oracle Then I happened across this documentation about the upgraded connector. https://learn.microsoft.com/en-us/azure/data-factory/connector-oracle?tabs=data-factory#upgrade-the-oracle-connector Is this for real? ADF won't be able to connect to old versions of Oracle? If so I'm effed because my company is so so legacy and all of our Oracle servers at 11g. I also tried adding additional connection properties in my linked service connection like this, but I have honestly no idea what I'm doing: Encryption client: accepted Encryption types client: AES128, AES192, AES256, 3DES112, 3DES168 Crypto checksum client: accepted Crypto checksum types client: SHA1, SHA256, SHA384, SHA512 But no matter what, the issue persists. :( Am I missing something stupid? Are there ways to handle the encryption type mismatch client-side from the VM that runs the self-hosted integration runtime? I would hate to be in the business of managing an Oracle environment and tsanames.ora files, but I also don't want to re-engineer almost 100 pipelines because of a connector incompatability.
Solution: Handling Concurrency in Azure Data Factory with Marker Files and Web Activities
Hi everyone, I wanted to share a concurrency issue we encountered in Azure Data Factory (ADF) and how we resolved it using a small but effective enhancement—one that might be useful if you're working with shared Blob Storage across multiple environments (like Dev, Test, and Prod). Background: Shared Blob Storage & Marker Files In our ADF pipelines, we extract data from various sources (e.g., SharePoint, Oracle) and store them in Azure Blob Storage. That Blob container is shared across multiple environments. To prevent duplicate extractions, we use marker files: started.marker → created when a copy begins completed.marker → created when the copy finishes successfully If both markers exist, pipelines reuse the existing file (caching logic). This mechanism was already in place and worked well under normal conditions. The Issue: Race Conditions We observed that simultaneous executions from multiple environments sometimes led to: Overlapping attempts to create the same started.marker Duplicate copy activities Corrupted Blob files This became a serious concern because the Blob file was later loaded into Azure SQL Server, and any corruption led to failed loads. The Fix: Web Activity + REST API To solve this, we modified only the creation of started.marker by: Replacing Copy Activity with a Web Activity that calls the Azure Storage REST API The API uses Azure Blob Storage's conditional header If-None-Match: * to safely create the file only if it doesn't exist If the file already exists, the API returns "BlobAlreadyExists", which the pipeline handles by skipping. The Copy Activity is still used to copy the data and create the completed.marker—no changes needed there. Updated Flow Check marker files: If both exist (started and completed) → use cached file If only started.marker → wait and retry If none → continue to step 2 Web Activity calls REST API to create started.marker Success → proceed with copy in step 3 Failure → another run already started → skip/retry Copy Activity performs the data extract Copy Activity creates completed.marker Benefits Atomic creation of started.marker → no race conditions Minimal change to existing pipeline logic with marker files Reliable downstream loads into Azure SQL Server Preserves existing architecture (no full redesign) Would love to hear: Have you used similar marker-based patterns in ADF? Any other approaches to concurrency control that worked for your team? Thanks for reading! Hope this helps someone facing similar issues.Another Oracle 2.0 issue
It seemed like Oracle LS 2.0 was finally working in production. However, some pipelines have started to fail in both production and development environments with the following error message: ErrorCode=ParquetJavaInvocationException,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=An error occurred when invoking java, message: java.lang.ArrayIndexOutOfBoundsException:255 total entry:1 com.microsoft.datatransfer.bridge.parquet.ParquetWriterBuilderBridge.addDecimalColumn(ParquetWriterBuilderBridge.java:107) .,Source=Microsoft.DataTransfer.Richfile.ParquetTransferPlugin,''Type=Microsoft.DataTransfer.Richfile.JniExt.JavaBridgeException,Message=,Source=Microsoft.DataTransfer.Richfile.HiveOrcBridge,' When I revert the Linked Service version back to 1.0, the copy activity runs successfully. Has anyone encountered this issue before or found a workaround?
Issue with Auto Setting for Copy Parallelism in ADF Copy Activity
Hello everyone, I've been utilizing Azure Data Factory (ADF) and noticed the option to set the degree of copy parallelism in a copy activity, which can significantly enhance performance when copying data, such as blob content to an SQL table. However, despite setting this option to "Auto," the degree of parallelism remains fixed at 1. This occurs even when copying hundreds of millions of rows, resulting in a process that takes over 2 hours. My Azure SQL database is scaled to 24 vCores, which should theoretically support higher parallelism. Am I missing something, or is the "Auto" setting for copy parallelism not functioning as expected? Any insights or suggestions would be greatly appreciated! Thank you.OData Connector for Dynamics Business Central
Hey Guys, I'm trying to connect Dynamics Business Central OData API in ADF but I'm not sure what I'm doing wrong here because the same Endpoint is returning data on Postman but returning an error in ADF LinkedService. https://api.businesscentral.dynamics.com/v2.0/{tenant-id}/Sandbox-UAT/ODataV4/Company('company-name')/Chart_of_Accounts
Columns from D365 CRM not found
Hello, I want to copy data from D365 CRM Opportunities into an Azure SQL table on a schedule. When I connect to our company.crm.dynamics.com using SSMS, I am able to do a SELECT DISTINCT statecode, statecodename FROM opportunity and get results for both columns. Other out-of-box columns follow the same pattern where there is a xxxcode and a xxxxcodename column pairs. However, in ADF when I have D365 CRM Opportunities as a source, and the Azure SQL table as a sink, and I go to verify mapping, statecode is found but statecodename is not, and many other 'xxxxxxxxname' columns are not found either. Why is that?
Failure of azure data factory integration runtime with Vnet enabled
I had been using Data Factory's integration runtime with VNet successfully, but it recently stopped connecting to Cosmos DB with the MongoDB API (which is also within a VNet). After setting up a new integration runtime with VNet enabled and selecting the region as 'Auto Resolve,' the pipeline ran successfully with this new runtime. Could you help me understand why the previous integration runtime—configured with VNet enabled and the region set to match that of Azure Data Factory—worked for over a month but then suddenly failed? The new integration runtime with VNet and 'Auto Resolve' region worked, but I'm uncertain if the 'Auto Resolve' region contributed to the success or if something else allowed it to connect. Error:Failure happened on 'Source' side. ErrorCode=MongoDbConnectionTimeout,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=>Connection to MongoDB server is timeout.,Source=Microsoft.DataTransfer.Runtime.MongoDbAtlasConnector,''Type=System.TimeoutException,Message=A timeout occured after 30000ms selecting a server using CompositeServerSelector{ Selectors = MongoDB.Driver.MongoClient+AreSessionsSupportedServerSelector, LatencyLimitingServerSelector{ AllowedLatencyRange = 00:00:00.0150000 } }. Client view of cluster state is { ClusterId : "1", ConnectionMode : "ReplicaSet", Type : "ReplicaSet", State : "Disconnected", Servers : [{ ServerId: "{ ClusterId : 1, EndPoint : "Unspecified/cosmontiv01u.mongo.cosmos.azure.com:10255" }", EndPoint:
