Before Date Time
Definition
Asserts that the field is a timestamp earlier than a specific date and time.
Field Scope
Single: The rule evaluates a single specified field.
Accepted Types
Type | |
---|---|
Date |
|
Timestamp |
General Properties
Name | Supported |
---|---|
Filter Allows the targeting of specific data based on conditions |
|
Coverage Customization Allows adjusting the percentage of records that must meet the rule's conditions |
The filter allows you to define a subset of data upon which the rule will operate.
It requires a valid Spark SQL expression that determines the criteria rows in the DataFrame should meet. This means the expression specifies which rows the DataFrame should include based on those criteria. Since it's applied directly to the Spark DataFrame, traditional SQL constructs like WHERE clauses are not supported.
Examples
Direct Conditions
Simply specify the condition you want to be met.
Combining Conditions
Combine multiple conditions using logical operators like AND
and OR
.
Correct usage
Incorrect usage
Utilizing Functions
Leverage Spark SQL functions to refine and enhance your conditions.
Correct usage
Incorrect usage
Using scan-time variables
To refer to the current dataframe being analyzed, use the reserved dynamic variable {{ _qualytics_self }}
.
Correct usage
Incorrect usage
While subqueries can be useful, their application within filters in our context has limitations. For example, directly referencing other containers or the broader target container in such subqueries is not supported. Attempting to do so will result in an error.
Important Note on {{ _qualytics_self }}
The {{ _qualytics_self }}
keyword refers to the dataframe that's currently under examination. In the context of a full scan, this variable represents the entire target container. However, during incremental scans, it only reflects a subset of the target container, capturing just the incremental data. It's crucial to recognize that in such scenarios, using {{ _qualytics_self }}
may not encompass all entries from the target container.
Specific Properties
Specify a particular date and time to act as the threshold for the rule.
Name | Description |
---|---|
Date |
The timestamp used as the upper boundary. Values in the selected field should be before this timestamp. |
Anomaly Types
Type | Supported |
---|---|
Record Flag inconsistencies at the row level |
|
Shape Flag inconsistencies in the overall patterns and distributions of a field |
Example
Objective: Ensure that all L_SHIPDATE entries in the LINEITEM table are earlier than 3:00 PM on December 1st, 1998.
Sample Data
L_ORDERKEY | L_SHIPDATE |
---|---|
1 | 1998-12-01 15:30:00 |
2 | 1998-11-02 12:45:00 |
3 | 1998-08-01 10:20:00 |
{
"description": "Make sure datetime values are earlier than 3:00 PM, Dec 01, 1998",
"coverage": 1,
"properties": {
"datetime":"1998-12-01T15:00:00Z"
},
"tags": [],
"fields": ["L_SHIPDATE"],
"additional_metadata": {"key 1": "value 1", "key 2": "value 2"},
"rule": "beforeDateTime",
"container_id": {container_id},
"template_id": {template_id},
"filter": "1=1"
}
Anomaly Explanation
In the sample data above, the entry with L_ORDERKEY
1 does not satisfy the rule because its L_SHIPDATE
value is not before 1998-12-01 15:00:00.
graph TD
A[Start] --> B[Retrieve L_SHIPDATE]
B --> C{Is L_SHIPDATE < '1998-12-01 15:00:00'?}
C -->|Yes| D[Move to Next Record/End]
C -->|No| E[Mark as Anomalous]
E --> D
Potential Violation Messages
Record Anomaly
The L_SHIPDATE
value of 1998-12-01 15:30:00
is not earlier than 1998-12-01 15:00:00.
Shape Anomaly
In L_SHIPDATE
, 33.33% of 3 filtered records (1) are not earlier than 1998-12-01 15:00:00.