I'm attempting to pass the blob name as variable in SSIS Azure Blob Destination. I use expressions all the time in SSIS but cannot find the "Expressions" option in the [Azure Blob Destination] data flow component properties.
I found the expressions for the [Azure Blob Destination] data flow component. It's in the properties of the [Data Flow] task on the Control Flow tab.
I'm used to accessing the expressions of the [Flat File Destination] connection so I was hunting on the Data Flow tab.
Related
We are using dataverse to export the data to azure storage by using Azure Synapse Link.
We can see the all the data load into azure data lake without any issues.
now as per requirement, we could do the transformation to load the option set values which separate CSV loaded in storage account but we could not do the transformation with model.json. because the model json available all the schema details.
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/export-to-data-lake-data-adf
**Hello,
I am trying to copy data from Cosmos DB to Snowflake through Azure Data Factory. But I get the error- "Direct copying data to Snowflake is only supported when source dataset is DelimitedText, Parquet, JSON with Azure Blob Storage or Amazon S3 linked service, for other dataset or linked service, please enable staging". Would that imply that I need to create a linked service with blob storage? What URL and SAS token should I give? Do I need to move everything to Blob and then move forward with staging?
Any help is appreciated. Thank You very much.**
Try it with a data flow activity instead of a copy activity
Scenario:
I am trying to copy data from source ORACLE database to sink AZURE SQL using ADF.
I have created Oracle 11gR2 database in my local system (Windows 10) and installed Self Hosted Run time. On adding "data set" in ADF, I can "preview" tables from my local Oracle database.
Now target is Azure SQL and copy activity is like-to-like. So I have created table in AZURE SQL, keeping all column attributes same, barring one RAW column in source.
Problem:
In source table, there is a column of type RAW(2000) and it contains zlib compressed data in HEX format.
For this, as per the mapping spec detailed in https://learn.microsoft.com/en-us/sql/relational-databases/replication/non-sql/data-type-mapping-for-oracle-publishers?view=sql-server-ver15,
I have changed the type for the same field in Azure SQL to varbinary(2000) (also tried with binary(2000)
Source column data in Oracle is as below:
COMPRESS_DATA
--------------------------------------------------------------------------------
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
Now when I am creating the copy step in ADF and in Mapping tab, I opt for "Import Schema", it shows:
for Source, COMPRESS DATA field type is BYTE[ ].
Naturally when I run the pipeline, the above column value comes in Azure SQL, in a different format:
data preview in ADF
Data as in ADF preview and in Azure SQL (post copy)
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
Expected outcome:
The content should be copied to Azure SQL as is from source (HEX).
Please help/advice on how this can be achieved as we are planning to move 10TB of Oracle data into Azure SQL but this is the base issue blocking it.
Please try create the table with nvarchar(max) data type in Azure SQL database.
I'm glad to hear that "Changing it to NVARCHAR(MAX) while creating the Azure SQL table solved the problem".
It's my pleasure to help you!
I'm running a site as an Azure Web App, using Azure SQL, Azure Search, and Azure Blob Storage.
Currently the Azure Search index (for the document search) is built using an indexer drawing data from multiple SQL tables (via a view) to associate permissions and other meta data indirectly associated with the documents, including the url to the doc in Azure Blob Storage.
The newly released update to Azure Search seems to allow full-text searching of blobs which is great, but the data source has to be changed to the blob storage container, missing out on the additional meta that would be populated by my SQL view.
Can a Search index document be populated by more than one data source, or can a second indexer update an existing search document (to add the full-text data to the document)?
I've looked at trying to capture the data and creating the full text within the SQL db at document upload, but on Azure web apps there doesn't seem to be a suitable parser, and Azure SQL Full text index doesn't support Word or PDF docs which are mostly what I'm uploading.
Is it possible to modify the indexer to incorporate Azure Blob Storage full text indexing, or should I be looking for a completely different approach?
Azure Search indexes can be populated by multiple indexers, or even by a mix of indexer and your own code calling indexing API. (Specifically, indexers use mergeOrUpload indexing action.)
You just need to make sure that both SQL and blob indexers agree on the document key, so they update the same documents.
HTH!
I use Integration Services 2012 in project deployment mode. I want to replace existing ODBC data source with OLE DB data source in existing package without breaking all the links that cascade down the package into the data destination.
I have tried deleting the ODBC & adding OLE DB data source. Then I lost all my output aliases after the first MERGE JOIN data flow. What can I do about it?
First fix all of the metadata in your source components, by opening them for edit. Then edit each component in order in the data flow. This will often fix downstream components as you go, but if data types changed (i.e. unicode to non-unicode) then you may have conversions to do.