Link Search Menu Expand Document

Display sample data in Soda Cloud

Last modified on 06-Dec-22

Use the sample datasets configuration to send 100 sample rows to Soda Cloud. Examine the sample rows to gain insight into the type checks you can prepare to test for data quality.
Requires Soda Cloud.

sample datasets:
  datasets:
    - dim_customer
    - include prod%
    - exclude test%

Prerequisites
Define sample datasets
Optional check configurations
Inclusion and exclusion rules
Disable samples in Soda Cloud
Go further

Prerequisites

To define samples for datasets, follow the guided steps to create a new data source and add the sample configuration in step 4 Profile datasets. Reference the section below for how to configure profiling using SodaCL.

Reference the section below for how to configure profiling in a checks YAML file using SodaCL.

Define sample datasets

This configuration is limited in its syntax variation, with only a couple of mutable parts to specify the datasets from which to gather and send sample rows to Soda Cloud. You can add this configuration to one of two places:

The example configuration below uses a wildcard character (%) to specify that Soda Core sends sample rows to Soda Cloud for all datasets with names that begin with customer, and not to send samples for any dataset with a name that begins with test.

sample datasets:
  datasets:
    - include customer%
    - exclude test%


You can also specify individual datasets to include or exclude, as in the following example.

sample datasets:
  datasets:
    - include retail_orders


Scan results in Soda Cloud

  1. To review the sample rows in Soda Cloud, first run a scan of your data source so that Soda Core can gather and send samples to Soda Cloud.
  2. In Soda Cloud, navigate to the Datasets dashboard, then click a dataset name to open the dataset’s info page.
  3. Access the Sample Data tab to review the sample rows.

Example sample datasets screenshot

Optional check configurations

Supported Configuration Documentation
  Define a name for sample data configuration. -
  Add an identity to a check. -
  Define alert configurations to specify warn and fail thresholds. -
  Apply an in-check filter to return results for a specific portion of the data in your dataset. -
Use quotes when identifying dataset names; see example.
Note that the type of quotes you use must match that which your data source uses. For example, BigQuery uses a backtick (`) as a quotation mark.
Use quotes in a check
Use wildcard characters ( % with dataset names in the check; see example. -
  Use for each to apply anomaly score checks to multiple datasets in one scan. -
  Apply a dataset filter to partition data during a scan. -

Example with quotes

sample datasets:
  datasets:
    - include "prod_customer"

Example with wildcards

sample datasets:
  datasets:
    - include prod%
    - exclude test%

Inclusion and exclusion rules

  • If you configure sample datasets to include specific datasets, Soda implicitly excludes all other datasets from sampling.
  • If you combine an include config and an exclude config and a dataset fits both patterns, Soda excludes the dataset from sampling.

Disable samples in Soda Cloud

Where your datasets contain sensitive or private information, you may not want to send samples from your data source to Soda Cloud. In such a circumstance, you can disable the feature completely in Soda Cloud.

To prevent Soda Cloud from receiving any sample data or failed row samples for any datasets in any data sources to which you have connected your Soda Cloud account, proceed as follows:

  1. As an Admin, log in to your Soda Cloud account and navigate to your avatar > Organization Settings.
  2. In the Organization tab, check the box to “Disable storage of sample data and failed row samples in Soda Cloud.”, then Save.


Note that you cannot use an exclude_columns configuration to disable sample row collections from specific columns in a dataset. That configuration applies only to disabling failed rows sampling.

Go further



Was this documentation helpful?

What could we do to improve this page?


Last modified on 06-Dec-22