I need to store xml file from blob to azure sql db. Can I put it in single column in my db?
To insert xml file data from blob storage to SQL database, follow below steps
Step1: Upload XML file to blob storage
Step2: Create table in SQL database.
Step3: Create copy activity in Azure Data Factory
Step4: Add Blob storage as a Source
Step5: Add SQL database as a Sink
Step6: Do the mappings
Step7: Now you can run copy activity and get required output as shown in below image.
Related
I have a copy activity that takes a bunch of JSON files and merges them into a singe JSON.
I would now like to copy the merged single JSON to Azure SQL DB. Is that possible?
Ok, it appears to be working however the output in SQL is just countryCode and CompanyId
However, I need to retrieve all the financial information in the JSON as well
Azure Data Factory Copy Activity for JSON to Table in Azure SQL DB
I repro'd the same and below are the steps.
Two json files are taken as source.
Those files are merged into single file using copy activity.
Then Merged Json data is taken as source dataset in another copy activity.
In sink, dataset for Azure SQL db is created and Auto create table option is selected.
In sink dataset, edit checkbox is selected and sink table name is given.
Once the pipeline is run, data is copied to table.
I want to transfer data from csv file which is in an azure blob storage with the correct data types to SQL server table.
How can I get the structure for the table in the CSV file? ( I mean like when we do script table to new query in SSMS).
Note that the CSV file is not available on premise.
If your target table is already created in SSMS, copy activity will take care of the schema of source and target tables.
This is my sample csv file from blob:
In the sink I have used a table from Azure SQL database. For you, you can create SQL server dataset by SQL server linked service.
You can see the schema of csv and target tables and their mapping.
Result:
if your target table is not created in SSMS, you can use dataflows and can define the schema that you want in the Projection.
Create a data flow and in the sink give our blob csv file. In the projection of sink, we can give the datatypes that we want for the csv file.
As our target table is not created before, check on edit in the dataset and give the name for the table.
In the sink, give this dataset (SQL server dataset in your case) and make sure you check on the Recreate table in the sink Settings, so that a new table with that name will be created.
Execute this Dataflow, your target table will be created with your user defined data types.
I've tried to use SSMS, but it requires a temporary location for the BacPac file which is local. But i don't want to download it to local, would like to export a single table directly to Azure Blob storage.
Per my experience, we could import table data from the csv file stored in blob storage. But didn't find a way to export the table data to Blob Storage as csv file directly.
You could think about using Data Factory.
It can achieve that , please reference bellow tutorials:
Copy and transform data in Azure SQL Database by using Azure Data
Factory
Copy and transform data in Azure Blob storage by using Azure Data
Factory
Using Azure SQL database as the Source, and choose the table as dataset:
Source dataset:
Source:
Using Blob storage as Sink, and choose the DelimitedText as the sink format file:
Sink dataset:
Sink:
Run the pipeline and you will get the csv file in Blob Storage.
Also thanks for the tutorial #Hemant Halwai provided for us.
I am loading 50GB CSV file From Azure Blob to Azure SQL DB using OPENROWSET.
It takes 7 hours to load this file.
Can you please help me with possible ways to reduce this time?
The easiest option IMHO is just use BULK INSERT. Move the csv file into a Blob Store and the import it directly using BULK INSERT from Azure SQL. Make sure Azure Blob storage and Azure SQL are in the same Azure region.
To make it as fast as possible:
split the CSV in more than one file (for example using something like a CSV splitter. This looks nice https://www.erdconcepts.com/dbtoolbox.html. Never tried and just came up with a simple search, but looks good)
run more BULK INSERT in parallel using TABLOCK option. (https://learn.microsoft.com/en-us/sql/t-sql/statements/bulk-insert-transact-sql?view=sql-server-2017#arguments). This, if the target table is empty, will allow multiple concurrent bulk operations in parallel.
make sure you are using an higher SKU for the duration of the operation. Depending on the SLO (Service Level Objective) you're using (S4? P1, vCore?) you will get a different amount of log throughput, up to close 100 MB/Sec. That's the maximum speed you can actually achieve. (https://learn.microsoft.com/en-us/azure/sql-database/sql-database-resource-limits-database-server)
Please try using Azure Data Factory.
First create the destination table on Azure SQL Database, let's call it USDJPY. After that upload the CSV to an Azure Storage Account. Now create your Azure Data Factory instance and choose Copy Data.
Next, choose "Run once now" to copy your CSV files.
Choose "Azure Blob Storage" as your "source data store", specify your Azure Storage which you stored CSV files.
Provide information about Azure Storage account.
Choose your CSV files from your Azure Storage.
Choose "Comma" as your CSV files delimiter and input "Skip line count" number if your CSV file has headers
Choose "Azure SQL Database" as your "destination data store".
Type your Azure SQL Database information.
Select your table from your SQL Database instance.
Verify the data mapping.
Execute data copy from CSV files to SQL Database just confirming next wizards.
How to Save uploaded file (any file) to SQL AZure table?
You can store the files in varbinary(max) fields and stream them to and from SQL Azure.
For a code sample see: http://blogs.msdn.com/b/sqlazure/archive/2010/06/17/streaming-blobs-to-and-from-sql-azure.aspx