Example tests by metric
Refer to Metrics for configuration details for Soda SQL.
Refer to Scan YAML for details on the anatomy of a scan YAML file.
avg
avg-length
distinct
duplicate_count
frequent_values
histogram
invalid_count
invalid_percentage
max
max_length
maxs
min
min_length
mins
missing_count
missing_percentage
row_count
schema
stddev
sum
unique_count
uniqueness
valid_count
valid_percentage
values_count
values_percentage
variance
avg
The calculated average of values in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- avg > 100
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(avg > 100) passed with metric values {"avg": 5384.6}
| Executed 2 queries in 0:00:00.027354
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
avg_length
The average length of string values in a column.
Scan YAML
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
tests:
- avg_length > 30
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(avg_length > 30) passed with metric values {"avg_length": 36.0}
| Executed 2 queries in 0:00:00.034843
| Scan summary ------
| 68 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
distinct
The number of rows that contain distinct values, relative to the column. For example, where a column has values: aaa, aaa, bbb, ccc, it has three distinct values.
Use with metric_groups: duplicates at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- duplicates
columns:
id:
tests:
- distinct > 1
size:
tests:
- distinct > 1
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
FROM group_by_value
| SQL took 0:00:00.007346
| Query measurement: distinct(id) = 65
| Query measurement: unique_count(id) = 65
| Derived measurement: duplicate_count(id) = 0
| Derived measurement: uniqueness(id) = 100
| ...
FROM group_by_value
| SQL took 0:00:00.003017
| Query measurement: distinct(size) = 65
| Query measurement: unique_count(size) = 65
| Derived measurement: duplicate_count(size) = 0
| Derived measurement: uniqueness(size) = 100
| Test column(id) test(distinct > 1) passed with metric values {"distinct": 65}
| Test column(size) test(distinct > 1) passed with metric values {"distinct": 65}
| Executed 8 queries in 0:00:00.056644
| Scan summary ------
| 88 measurements computed
| 2 tests executed
| All is good. No tests failed.
| Exiting with code 0
duplicate_count
The number of rows that contain duplicate values, relative to the column. Use with metric_groups: duplicates at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- duplicates
columns:
id:
tests:
- duplicate_count == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
FROM group_by_value
| SQL took 0:00:00.002620
| Query measurement: distinct(id) = 65
| Query measurement: unique_count(id) = 65
| Derived measurement: duplicate_count(id) = 0
| Derived measurement: uniqueness(id) = 100
| ...
| Test column(id) test(duplicate_count == 0) passed with metric values {"duplicate_count": 0}
| Executed 8 queries in 0:00:00.047606
| Scan summary ------
| 88 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
frequent_values
A list of values in the column and the frequency with which they occur. Use with metric_groups: profiling at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- profiling
columns:
size:
tests:
- frequent_values
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(frequent_values) passed with metric values {"frequent_values": [{"value": 6434, "frequency": 1}, {"value": 6210, "frequency": 1}, {"value": 3804, "frequency": 1}, {"value": 6383, "frequency": 1}, {"value": 6207, "frequency": 1}]}
| Executed 16 queries in 0:00:00.082814
| Scan summary ------
| 54 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
histogram
A list of values to use to create a histogram that represents the contents of the column. Use with metric_groups: profiling at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- profiling
columns:
size:
tests:
- histogram
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(histogram) passed with metric values {"histogram": {"boundaries": [1197.0, 1636.4, 2075.8, 2515.2, 2954.6, 3394.0, 3833.4, 4272.8, 4712.2, 5151.6, 5591.0, 6030.4, 6469.8, 6909.2, 7348.6, 7788.0, 8227.4, 8666.8, 9106.2, 9545.6, 9985.0], "frequencies": [5, 2, 5, 2, 3, 5, 4, 2, 2, 1, 3, 7, 5, 5, 2, 3, 1, 0, 4, 4]}}
| Executed 16 queries in 0:00:00.075220
| Scan summary ------
| 54 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
invalid_count
The number of rows that contain invalid values.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
valid_format: uuid
tests:
- invalid_count == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(invalid_count == 0) passed with metric values {"invalid_count": 0}
| Executed 2 queries in 0:00:00.027116
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
invalid_percentage
The percentage of rows that contain invalid values.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
feepct:
valid_format: number_percentage
tests:
- invalid_percentage == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(feepct) test(invalid_percentage == 0) passed with metric values {"invalid_percentage": 0.0}
| Executed 2 queries in 0:00:00.031899
| Scan summary ------
| 50 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
tests:
- row_count > 0
columns:
country:
valid_values:
- US
- UK
- Netherlands
tests:
- invalid_percentage == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test test(row_count > 0) passed with metric values {"row_count": 65}
| Test column(country) test(invalid_percentage == 0) failed with metric values {"invalid_percentage": 10.76923076923077}
| Executed 2 queries in 0:00:00.040941
| Scan summary ------
| 68 measurements computed
| 2 tests executed
| 1 of 2 tests failed:
| Test column(country) test(invalid_percentage == 0) failed with metric values {"invalid_percentage": 10.76923076923077}
| Exiting with code 1
max
The greatest value in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- max > 100
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(max > 100) passed with metric values {"max": 9985}
| Executed 2 queries in 0:00:00.028452
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- max
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(max) passed with metric values {"max": 9985}
| Executed 2 queries in 0:00:00.027402
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
max_length
The maximum length of string values in a column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
country:
tests:
- max_length
id:
tests:
- max_length
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(max_length) passed with metric values {"max_length": 36}
| Test column(country) test(max_length) passed with metric values {"max_length": 11}
| Executed 2 queries in 0:00:00.029349
| Scan summary ------
| 40 measurements computed
| 2 tests executed
| All is good. No tests failed.
| Exiting with code 0
maxs
A list of the five values that qualify as maximum relative to other values in the column. In other words, this metric returns the five greatest values in the column.
Use with metric_groups: profiling at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- profiling
columns:
size:
tests:
- maxs
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(maxs) passed with metric values {"maxs": [9985, 9932, 9685, 9664, 9427]}
| Executed 16 queries in 0:00:00.071264
| Scan summary ------
| 54 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
min
The smallest value in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- min > 50
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(min > 50) passed with metric values {"min": 1197}
| Executed 2 queries in 0:00:00.030317
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- min
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(min) passed with metric values {"min": 1197}
| Executed 2 queries in 0:00:00.026789
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
min_length
The minimum length of string values in a column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
country:
tests:
- min_length
id:
tests:
- min_length
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(min_length) passed with metric values {"min_length": 36}
| Test column(country) test(min_length) passed with metric values {"min_length": 2}
| Executed 2 queries in 0:00:00.028297
| Scan summary ------
| 40 measurements computed
| 2 tests executed
| All is good. No tests failed.
| Exiting with code 0
mins
A list of the five values that qualify as minimum relative to other values in the column. In other words, this metric returns the five smallest values in the column.
Use with metric_groups: profiling at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- profiling
columns:
size:
tests:
- mins
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(mins) passed with metric values {"mins": [1197, 1277, 1304, 1442, 1531]}
| Executed 16 queries in 0:00:00.084354
| Scan summary ------
| 54 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
missing_count
The number of rows in a column that do not contain specific content.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
valid_format: uuid
tests:
- missing_count == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(missing_count == 0) passed with metric values {"missing_count": 0}
| Executed 2 queries in 0:00:00.030209
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML, where country column contains valid value US:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- values_percentage
- valid_count
- ...
columns:
country:
missing_values:
- US
tests:
- missing_count == 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(country) test(missing_count == 0) failed with metric values {"missing_count": 35}
| Executed 2 queries in 0:00:00.035223
| Scan summary ------
| 68 measurements computed
| 1 tests executed
| 1 of 1 tests failed:
| Test column(country) test(missing_count == 0) failed with metric values {"missing_count": 35}
| Exiting with code 1
missing_percentage
The percentage of rows in a column that do not contain specific content.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
valid_format: uuid
tests:
- missing_percentage < 1
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(missing_percentage < 1) passed with metric values {"missing_percentage": 0.0}
| Executed 2 queries in 0:00:00.034878
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
row_count
The number of rows in a table or column.
Scan YAML, row_count at table level:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
tests:
- row_count > 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test test(row_count > 0) passed with metric values {"row_count": 65}
| Executed 2 queries in 0:00:00.034396
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML, row_count at column level:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- row_count > 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test test(row_count > 0) passed with metric values {"row_count": 65}
| Executed 2 queries in 0:00:00.034396
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML, row_count at column level:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- row_count
Scan output:
| Test column(size) test(row_count) passed with metric values {"row_count": 65}
| Executed 2 queries in 0:00:00.025365
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
schema
A list of column names in a table, and their data types.
Scan YAML, at table level:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
tests:
- schema
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test test(schema) passed with metric values {"schema": [{"name": "id", "type": "character varying"}, {"name": "name", "type": "character varying"}, {"name": "size", "type": "integer"}, {"name": "date", "type": "date"}, {"name": "feepct", "type": "character varying"}, {"name": "country", "type": "character varying"}]}
| Executed 2 queries in 0:00:00.026430
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
stddev
The calculated standard deviation of values in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- stddev > 1000
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(stddev > 1000) passed with metric values {"stddev": 2541.94966880739}
| Executed 2 queries in 0:00:00.027737
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- stddev
Scan output:
| Test column(size) test(stddev) passed with metric values {"stddev": 2541.94966880739}
| Executed 2 queries in 0:00:00.024660
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
sum
The calculated sum of the values in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- sum > 300000
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(sum > 300000) passed with metric values {"sum": 349999}
| Executed 2 queries in 0:00:00.027154
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- sum
Scan output:
| Test column(size) test(sum) passed with metric values {"sum": 349999}
| Executed 2 queries in 0:00:00.030573
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
unique_count
The number of rows in which a value appears exactly only once in the column. For example, where a column has values: aaa, aaa, bbb, ccc, it has two unique values.
Use with metric_groups: duplicates at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- duplicates
columns:
id:
tests:
- unique_count > 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
FROM group_by_value
| SQL took 0:00:00.003185
| Query measurement: distinct(id) = 65
| Query measurement: unique_count(id) = 65
| Derived measurement: duplicate_count(id) = 0
| Derived measurement: uniqueness(id) = 100
| ...
| Test column(id) test(unique_count > 0) passed with metric values {"unique_count": 65}
| Executed 8 queries in 0:00:00.054074
| Scan summary ------
| 88 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
uniqueness
A ratio that produces a number between 0 and 100 that indicates how unique the data in a column is. 0 indicates that all the values are the same; 100 indicates that all the values in the the column are unique. Use with metric_groups: duplicates at table or column level. See Metric groups and dependencies.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
metric_groups:
- duplicates
columns:
id:
tests:
- uniqueness == 100
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
FROM group_by_value
| SQL took 0:00:00.002458
| Query measurement: distinct(id) = 65
| Query measurement: unique_count(id) = 65
| Derived measurement: duplicate_count(id) = 0
| Derived measurement: uniqueness(id) = 100
| ...
| Test column(id) test(uniqueness == 100) passed with metric values {"uniqueness": 100.0}
| Executed 8 queries in 0:00:00.049126
| Scan summary ------
| 88 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
valid_count
The number of rows that contain valid content.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
valid_format: uuid
tests:
- valid_count > 10
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(valid_count > 10) passed with metric values {"valid_count": 65}
| Executed 2 queries in 0:00:00.030024
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
valid_percentage
The percentage of rows that contain valid content.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
id:
valid_format: uuid
tests:
- valid_percentage == 100
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(id) test(valid_percentage == 100) passed with metric values {"valid_percentage": 100.0}
| Executed 2 queries in 0:00:00.033056
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
country:
valid_min_length: 10
tests:
- valid_percentage == 100
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(country) test(valid_percentage == 100) failed with metric values {"valid_percentage": 4.615384615384615}
| Executed 2 queries in 0:00:00.029359
| Scan summary ------
| 68 measurements computed
| 1 tests executed
| 1 of 1 tests failed:
| Test column(country) test(valid_percentage == 100) failed with metric values {"valid_percentage": 4.615384615384615}
| Exiting with code 1
values_count
The number of rows that contain content included in a list of valid values.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
country:
valid_values:
- US
- UK
tests:
- values_count > 1
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(country) test(values_count > 1) passed with metric values {"values_count": 65}
| Executed 2 queries in 0:00:00.032684
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
values_percentage
The number of rows that contain content included in a list of valid values.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
country:
valid_values:
- US
- UK
tests:
- values_percentage > 10
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(country) test(values_percentage > 10) passed with metric values {"values_percentage": 100.0}
| Executed 2 queries in 0:00:00.027640
| Scan summary ------
| 44 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
variance
The calculated variance of the values in a numeric column.
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- variance > 0
Scan output:
| 2.x.x
| Scanning tables/demodata.yml ...
| ...
| Test column(size) test(variance > 0) passed with metric values {"variance": 6461508.11875}
| Executed 2 queries in 0:00:00.046971
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Scan YAML:
table_name: demodata
metrics:
- row_count
- missing_count
- missing_percentage
- values_count
- ...
columns:
size:
tests:
- variance
Scan output:
| Test column(size) test(variance) passed with metric values {"variance": 6461508.11875}
| Executed 2 queries in 0:00:00.030379
| Scan summary ------
| 40 measurements computed
| 1 tests executed
| All is good. No tests failed.
| Exiting with code 0
Last modified on 18-Jan-22
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