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sample
Syntax
- sample
- Required. Specifies the percentage of the dataset that is returned as a random sample. The percentage size value can be any positive decimal.
- repeatable
- Optional. To create a random sample deterministically, specify a seed. sample returns the same subset of data each time you pass repeatable the same seed value. The seed value can be any positive integer.
Usage
Use sample to project a query on a representative sample from your dataset, where each data point has an equal probability of being selected. sample runs pre-projection.
Add sample and repeatable after the load statement. Any operation performed on the query after the load statement affects only the random sample of data. Let’s look at an example.
| Count of Rows |
|---|
| 453 |
Here, the query returns the row count of the sample, 453—around 10% of the dataset's 4.6k rows. The repeatable keyword guarantees that the query always returns the same result. Without the repeatable keyword, the query returns a sample of a slightly different size each time you run it. If you modify your dataset and add more data, then repeatable doesn’t return the same result.
group-by Example
This query returns the counts of opportunities for each stage. Since the query operates on 10% of the dataset, the counts for each stage are approximately 1/10 of the original count.
| Stage | Count of Rows |
|---|---|
| Closed Lost | 89 |
| Closed Won | 254 |
| Id. Decision Makers | 13 |
| Needs Analysis | 15 |
| Negotiation/Review | 6 |
| Perception Analysis | 13 |
| Proposal/Price Quote | 9 |
| Prospecting | 10 |
| Qualification | 25 |
| Value Proposition | 19 |
filter Example
This query returns only the won opportunities for each stage. Since the query operates on 10% of the dataset, the count for each stage is approximately 1/10 of the original count.
| Stage | Count of Rows |
|---|---|
| Closed Won | 275 |