I'm using Copy Data.
When there is some data error. I would export them to a blob.
But in this case, the Pipelines's status is still Succeeded. I want to set it to false. Is it possible?
When there is some data error.
It depends on what error you mentioned here.
1.If you mean it's common incompatibility or mismatch error, ADF supports built-in feature named Fault tolerance in Copy Activity which supports below 3 scenarios:
Incompatibility between the source data type and the sink native
type.
Mismatch in the number of columns between the source and the sink.
Primary key violation when writing to SQL Server/Azure SQL
Database/Azure Cosmos DB.
If you configure to log the incompatible rows, you can find the log file at this path: https://[your-blob-account].blob.core.windows.net/[path-if-configured]/[copy-activity-run-id]/[auto-generated-GUID].csv.
If you want to abort the job as soon as any error occurs,you could set as below:
Please see this case: Fault tolerance and log the incompatible rows in Azure Blob storage
2.If you are talking about your own logic for the data error,may some business logic. I'm afraid that ADF can't detect that for you, though it's also a common requirement I think. However,you could follow this case (How to control data failures in Azure Data Factory Pipelines?) to do a workaround. The main idea is using custom activity to divert the bad rows before the execution of copy activity. In custom activity, you could upload the bad rows into Azure Blob Storage with .net SDK as you want.
Update:
Since you want to log all incompatible rows and enforce the job failed at the same time, I'm afraid that it can not be implemented in the copy activity directly.
However, I came up with an idea that you could use If Condition activity after Copy Activity to judge if the output contains rowsSkipped. If so, output False,then you will know there are some skip data so that you could check them in the blob storage.
Related
Timeout issue for http connector and web activity
Web activity and http connector on adf
We have tried loading data through Copy Activity using REST API with Json data some columns are getting skipped which is having no data at its first row. We have also tried REST API with cv data but it's throwing error. We have tried using Web Activity but its payload size is 4MB, so it is getting failed with timeout issue. We have tried using HTTP endpoint but its payload size is 0.5 MB, so it is also getting failed with timeout issue
In Mapping settings, Toggle on the advanced editor and give the respective value in collection reference to cross apply the value for nested Json data. Below is the approach.
Rest connector is used in source dataset. Source Json API is taken as in below image.
Then Sink dataset is created for Azure SQL database. Once the pipeline is run, few columns are not copied to database.
Therefore, In Mapping settings of copy actvity,
1. Schema is imported
2. Advanced editor is turned on
3. Collection reference given.
When pipeline is run after the above changes, all columns are copied in SQL database.
We have a stage variable using DateFromDaysSince(Date Column) in datastage transformer. Due to some invalid dates , datastage job is getting failed . We have source with oracle.
When we check the dates in table we didnt find any issue but while transformation is happening job is getting failed
Error: Invalid Date [:000-01-01] used for date_from_days_since type conversion
Is there any possibility to capture those failure records into reject file and make the parallel job run successfull .. ?
Yes it is possible.
You can use the IsValidDate or IsValidTimestamp function to check that - check out the details here
These functions could be used in a Transformer condition to move rows not showing the expected type to move to a reject file (or peek).
When your data is retrieved from a database (as mentioned) the database ensures the datatype already - if the data is stored in the appropriate format. I suggest checking the retrieval method to avoid unnecessary checks or rejects. Different timestamp formats could be an issue.
I'm attempting to pull data from the Square Connect v1 API using ADF. I'm utilizing a Copy Activity with a REST source. I am successfully pulling back data, however, the results are unexpected.
The endpoint is /v1/{location_id}/payments. I have three parameters, shown below.
I can successfully pull this data via Postman.
The results are stored in a Blob and are as if I did not specify any parameters whatsoever.
Only when I hardcode the parameters into the relative path
do I get correct results.
I feel I must be missing a setting somewhere, but which one?
You can try setting the values you want into a setVariable activity, and then have your copyActivity reference those variables. This will tell you whether it is an issue with the dynamic content or not. I have run into some unexpected behavior myself. The benefit of the intermediate setVariable activity is twofold. Firstly it coerces the datatype, secondly, it lets you see what the value is.
My apologies for not using comments. I do not yet have enough points to comment.
I receive an error from time and time due to incompatible data in my source data set compared to my target data set. I would like to control the action that the pipeline determines based on error types, maybe output or drop those particulate rows, yet completing everything else. Is that possible? Furthermore, is it possible to get a hold of the actual failing line(s) from Data Factory without accessing and searching in the actual source data set in some simple way?
Copy activity encountered a user error at Sink side: ErrorCode=UserErrorInvalidDataValue,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Column 'Timestamp' contains an invalid value '11667'. Cannot convert '11667' to type 'DateTimeOffset'.,Source=Microsoft.DataTransfer.Common,''Type=System.FormatException,Message=String was not recognized as a valid DateTime.,Source=mscorlib,'.
Thanks
I think you've hit a fairly common problem and limitation within ADF. Although the datasets you define with your JSON allow ADF to understand the structure of the data, that is all, just the structure, the orchestration tool can't do anything to transform or manipulate the data as part of the activity processing.
To answer your question directly, it's certainly possible. But you need to break out the C# and use ADF's extensibility functionality to deal with your bad rows before passing it to the final destination.
I suggest you expand your data factory to include a custom activity where you can build some lower level cleaning processes to divert the bad rows as described.
This is an approach we often take as not all data is perfect (I wish) and ETL or ELT doesn't work. I prefer the acronym ECLT. Where the 'C' stands for clean. Or cleanse, prepare etc. This certainly applies to ADF because this service doesn't have its own compute or SSIS style data flow engine.
So...
In terms of how to do this. First I recommend you check out this blog post on creating ADF custom activities. Link:
https://www.purplefrogsystems.com/paul/2016/11/creating-azure-data-factory-custom-activities/
Then within your C# class inherited from IDotNetActivity do something like the below.
public IDictionary<string, string> Execute(
IEnumerable<LinkedService> linkedServices,
IEnumerable<Dataset> datasets,
Activity activity,
IActivityLogger logger)
{
//etc
using (StreamReader vReader = new StreamReader(YourSource))
{
using (StreamWriter vWriter = new StreamWriter(YourDestination))
{
while (!vReader.EndOfStream)
{
//data transform logic, if bad row etc
}
}
}
}
You get the idea. Build your own SSIS data flow!
Then write out your clean row as an output dataset, which can be the input for your next ADF activity. Either with multiple pipelines, or as chained activities within a single pipeline.
This is the only way you will get ADF to deal with your bad data in the current service offerings.
Hope this helps
I've set up an Azure Data Factory pipeline to transfer the data from one table in our SQL Server Database to our new Azure Search service. The transfer job continuously fails giving the following error:
Copy activity encountered a user error at Sink side:
GatewayNodeName=SQLMAIN01,ErrorCode=UserErrorAzuerSearchOperation,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Error
happened when writing data to Azure Search Index
'001'.,Source=Microsoft.DataTransfer.ClientLibrary.AzureSearch,''Type=Microsoft.Rest.Azure.CloudException,Message=Operation
returned an invalid status code
'RequestEntityTooLarge',Source=Microsoft.Azure.Search,'.
From what I've read thus far, Request Entity Too Large error is a standard HTTP error 413 found inside REST API. Of all the research I've done though, nothing helps me understand how I can truly diagnose and resolve this error.
Has anyone dealt with this with specific context to Azure? I would like to find out how to get all of our database data into our Azure Search service. If there are adjustments that can be made on the Azure side to increase the allowed request size, the process for doing so certainly is not readily-available anywhere I've seen on the internet nor in the Azure documentation.
This error means that the batch size written by Azure Search sink into Azure Search is too large. The default batch size is 1000 documents (rows). You can decrease it to a value that balances size and performance by using writeBatchSize property of the Azure Search sink. See Copy Activity Properties in Push data to an Azure Search index by using Azure Data Factory article.
For example, writeBatchSize can be configured on the sink as follows:
"sink": { "type": "AzureSearchIndexSink", "writeBatchSize": 200 }