Amazon S3 data source
This article provides brief guide on how to create an Amazon S3 data source in Upsolver.
Creating an Amazon S3 data source on Upsolver is very simple.
Upsolver will auto-detect the file formats date pattern and show you a preview of the top files to be ingested with their corresponding dates. It will also auto-detect when to start the ingestion from.
By default, data will be ingested into the default target storage.
There is also an Advanced option available to customize the data source by:
specifying a file name pattern
specifying the content format and its associated content format options (e.g. custom delimiter for CSV)
selecting a specific compute cluster
selecting a target storage option
Create an Amazon S3 data source:
1. From the Data Sources page, click New.
2. Select Amazon S3.
As you fill in the fields, the top matching files with their dates appear in the Preview pane on the right.
You can click Refresh to check on their status as you update fields.
3. Select the Amazon S3 bucket to read from.
4. (Optional) Enter the path to the data folder in the Amazon S3 bucket (e.g. billing data). If this is not specified, the data is assumed to be in the top-level of the hierarchy.
Upsolver adds an implicit / before and after the folder.
For example, if you have bucket a, with folder b, Upsolver looks for the path: s3://a/b/yyyy-MM-dd
5. In Glob File Pattern, specify the file set to ingest by using a file pattern with wildcard characters (where * means ingest all files).
6. Select or enter in the date pattern of the files to be ingested. This is autodetected but can be modified if required.
The following characters are valid: yyyy MM dd HH mm
Any other letters or characters must be wrapped in single quotes
(e.g. 'year='yyyy'month='MM'day='dd'hour='HH'minutes='mm).
It is also possible to specify the date as follows: d-M-yy
7. (Optional) Select a time to start ingesting files from. This is usually auto detected, but if there is no preview, the date cannot be established and this defaults to today's date. In this case, set the required start date.
8. Name this data source.
9. (Optional) If you would like to customize the data source by:
specifying a file name pattern
specifying the content format and its associated content format options (e.g. custom delimiter for CSV)
selecting a specific compute cluster
selecting a target storage option
See: Advanced options
10. Click Continue.
If the content type is not automatically identified, you will be prompted to select the Content Format and configure any related options. See: Data formats
11. In the S3 Bucket Integration window, click Launch Integration to launch the AWS CloudFormation page in a new tab.
12. Check the I acknowledge statement and click Create Stack.
Once the stack has been successfully created with the required resources, the message in Upsolver will disappear automatically.
You can now use your Amazon S3 data source.
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