How to scheulde a task to load csv file to internal stage daily without using any scheduler...source is local file path and target is snowflake table
Have you explored Snowpipe with auto_ingest?
You set up a notification service, on AWS this is a combination of SQS and SNS that calls Snowpipe to ingest new files.
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-auto-s3.html
There would be something similar for Azure
Related
I have created a data flow within Azure synapse to:
take data from a dedicated SQL pool
perform some transformations
send the resulting output to parquet files
I am then creating a View based on the resulting parquet file using OPENROWSET to allow PowerBI to use the data via the built-in serverless SQL pool
My issue is that whatever the file name I enter on the integration record, the parquet files always look like part-00000-2a6168ba-6442-46d2-99e4-1f92bdbd7d86-c000.snappy.parquet - or similar
Is there a way to have a fixed filename which is updated each time the pipeline is run, or alternatively is there a way to update the parquet file to which the View refers each time the pipeline is run, in an automated way.
Fairly new to this kind of integration, so if there is a better way to acheive this whole thing then please let me know
Azure Synapse Data Flows - parquet file names not working
I repro'd the same and got the file name as in below image.
In order to have the fixed name for sink file name,
Set Sink settings as follows
File name Option: Output to single file
Output to single file: tgtfile (give the file name)
In optimize, Select single partition.
Filename is as per the settings
I have a SQL to run on three Snowflake tables hosted on AWS account. I would like to stream any new records based on the output of my SQL to an S3 bucket using possibly Kafka or any other streaming service. What are my options to implement this?
You can unload data directly into an S3 bucket :
Create storage integration.
Create stage or specify bucket url directly in the query.
copy into s3://mybucket/unload/ from mytable storage_integration = s3_int;
Ref : https://docs.snowflake.com/en/user-guide/data-unload-considerations.html
I am trying to automate the process of loading the files from S3 to snowflake using snowpipe. I am able to successfully load the data into tables from S3 using snowpipe but not able to delete the files in S3 that are successfully loaded using snowpipe. I tried using purge option within the copy command but got an error as snowpipe does not support purge option.
Could someone provide inputs on how the file in S3 can be deleted automatically after the data is loaded successfully using snowpipe.
We are running unload query in snowflake to export data into the AWS S3 bucket as CSV files.
As we are exporting data into CSV files, there is a possibility of CSV injection.
How can we tell snowflake to add CSV injection protection?
While exporting the file in S3 bucket, the file is locked and I believe there is no chance to upload. The file picks up by snpwpipe only after the file is being finished exporting.
I want to detect and trigger a SSIS package deployed on the Azure data factory when a file is uploaded to Azure Blob storage. I know it's possible to trigger an SSIS package when a file is dropped to any folder but is it possible to trigger the SSIS package the same way when a file is uploaded to the Azure blob storage?
try using event triggers .
Data Factory is integrated with Azure Event Grid, which lets you trigger pipelines on an event.
An event-based trigger runs pipelines in response to an event, such as the arrival of a file, or the deletion of a file, in Azure Blob Storage.
how-to-create-event-trigger