I have requirement to Copy files from Azure Storage account into other storage account based on Timestamp associated with files using Azure data Factory based on below condition .
So whenever Data Factory triggered copy activity should copy files based on file's timestamp column between 7PM UTC to 8AM UTC.
Suppose we have below files into Storage
FileName TimeStamp
File1 -----> 2021-11-01 6.30PM
File2 -----> 2021-11-01 9.00PM
File3 -----> 2021-11-02 6.00AM
So In above scenario my copy activity should pull File2 and File3 based on its timestamp . Since its present between 8PM to 7AM.
I have tried to implement the same using Filter by last modified Start time (UTC) option in copy activity but my expression not validating correctly .
Any help here would be appreciated
If your Input date format: 2021-11-04 11:53:00.0000000 then you need to use 'yyyy-MM-dd HH:mm:ss.SSS' in your toTimeStamp function, so you could try something like this - toTimestamp('2021-11-04 11:53:00.000', 'yyyy-MM-dd HH:mm:ss.SSS') in your code to convert it to required format.
Please refer https://learn.microsoft.com/en-us/azure/data-factory/connector-file-system?tabs=data-factory
Related
I have an issue with setting up Appsflyer Cost ETL with Google BigQuery. We get parquet files each day.
The issue is the following - each day you get the file with 10 dates.
enter image description here
The problem is that each day you have 6 dates that shoud rewrite yesterday file. And the task is how to set a data transfers or scheduled queries to override the data for each date that you have in newer file to make the data for long period in one table.
1. I have a Lambda function that is running monthly, it is running Athena query, and export the results in a CSV file to my S3 bucket.
2. Now i have a Quicksight dashboard which is using this CSV file in Dataset and visual all the rows from the report into a dashboard.
Everything is good and working until here.
3. Now every month I'm getting a new csv file in my S3 bucket, and i want to add a "Visual Type" in my main dashboard that will show me the difference in % from the previous csv file(previous month).
For example:
My dashboard is focusing on the collection of missing updates.
In May i see i have 50 missing updates.
In June i got a CSV file with 25 missing updates.
Now i want it somehow to reflect into my dashboard with a "Visual Type" that this month we have reduced the number of missing updates by 50%.
And in month July, i get a file with 20 missing updates, so i want to see that we reduced with with 60% from the month May.
Any idea how i can do it?
I'm not sure I quite understand where you're standing, but I'll assume that you have an S3 manifest that points to an S3 directory and not a different manifest (and dataset) per each file.
If that's your case you could try to tackle that comparison creating a calculated field and using the periodOverPeriodPercentDifference
Hope this helps!
I'm using the Jmeter to validate the dates for a POST API service.but,need to pass the dates as dynamic from CSV file.
provided parameters as ID,stop Date and Start Date. Condition: stop date should be 2 days from current date and start Date should be <30 days >180 days. How can I use a CSV data values ?
used some BeanShell date manipulators. but, unable to find a way to use with csv data to automate.
Use "jp#gc - Variables From CSV File" plugin to fetch data from the csv. Please check the output below:-
This is just an example. Modified it according to your requirement.
Hope this helps.
Saving the data in one function call, where I am sending the data as 2019-02-01T00:00:00.000Z but the fiddler shows the different date in JSON as 2019-01-31T18:30:00.000Z. I am not aware that why it is giving the difference of 5 hrs 30 minutes.
On the local case, date saved in the database is 01-02-2019, while on production environment the previous date is getting saved in the table records.
Thanks in advance. Please help me with the solutions.
I am using the following query to fetch some results from a bigquery dataset:
SELECT name, TIMESTAMP(due) AS due, TIMESTAMP(start) AS start,
FROM myBigQueryTable
Then, I save the query result as csv. However, the due and start columns do not have datetime type in the csv file and displays a value like:
1.41E+09
instead of this:
2014-12-24 00:00:00 UTC
If I only use DATE instead of TIMESTAMP then the problem disappears, however I also need the time info. How can I resolve this issue?
This is a known problem with BigQuery UI and it is tracked here: https://issuetracker.google.com/issues/36614760.
I have the fix ready and it will go out into production within few weeks.