diff --git a/README.md b/README.md
index f67b1f5ac..687383d43 100644
--- a/README.md
+++ b/README.md
@@ -121,6 +121,7 @@ Check out the [contributions guide](https://docs.elementary-data.com/general/con
+
@@ -181,6 +182,9 @@ Check out the [contributions guide](https://docs.elementary-data.com/general/con
+
+
+
diff --git a/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx b/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx
new file mode 100644
index 000000000..6c99a99aa
--- /dev/null
+++ b/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx
@@ -0,0 +1,37 @@
+---
+title: "fail_on_zero"
+sidebarTitle: "fail_on_zero"
+---
+
+`fail_on_zero: true/false`
+
+Elementary anomaly detection tests will fail if there is a zero metric value within the detection period.
+If undefined, default is false.
+
+- _Default: false_
+- _Relevant tests: All anomaly detection tests_
+
+
+
+```yml test
+models:
+ - name: this_is_a_model
+ tests:
+ - elementary.volume_anomalies:
+ fail_on_zero: true
+```
+
+```yml model
+models:
+ - name: this_is_a_model
+ config:
+ elementary:
+ fail_on_zero: true
+```
+
+```yml dbt_project.yml
+vars:
+ fail_on_zero: true
+```
+
+
diff --git a/docs/guides/anomaly-detection-configuration/ignore_small_changes.mdx b/docs/guides/anomaly-detection-configuration/ignore_small_changes.mdx
new file mode 100644
index 000000000..eb51b14d9
--- /dev/null
+++ b/docs/guides/anomaly-detection-configuration/ignore_small_changes.mdx
@@ -0,0 +1,64 @@
+---
+title: "ignore_small_changes"
+sidebarTitle: "ignore_small_changes"
+---
+
+```
+ignore_small_changes:
+ spike_failure_percent_threshold: [int]
+ drop_failure_percent_threshold: [int]
+```
+
+If defined, an anomaly test will fail only if all the following conditions hold:
+
+- The z-score of the metric within the detection period is anomoulous
+- One of the following holds:
+ - The metric within the detection period is higher than `spike_failure_percent_threshold` percentages of the mean value in the training period, if defined.
+ - The metric within the detection period is lower than `drop_failure_percent_threshold` percentages of the mean value in the training period, if defined
+
+Those settings can help to deal with situations where your metrics are stable and small changes causes to high z-scores, and therefore to anomaly.
+
+If undefined, default is null for both spike and drop.
+
+- _Default: none_
+- _Relevant tests: All anomaly detection tests_
+
+
+
+```yml test
+models:
+ - name: this_is_a_model
+ tests:
+ ignore_small_changes:
+ spike_failure_percent_threshold: 2
+ drop_failure_percent_threshold: 50
+```
+
+```yml model
+models:
+ - name: this_is_a_model
+ config:
+ elementary:
+ ignore_small_changes:
+ spike_failure_percent_threshold: 2
+```
+
+```yml source
+sources:
+ - name: my_non_dbt_tables
+ schema: raw
+ tables:
+ - name: source_table
+ meta:
+ elementary:
+ ignore_small_changes:
+ drop_failure_percent_threshold: 50
+```
+
+```yml dbt_project.yml
+vars:
+ ignore_small_changes:
+ spike_failure_percent_threshold: 10
+```
+
+
diff --git a/docs/guides/anomaly-detection-tests/volume-anomalies.mdx b/docs/guides/anomaly-detection-tests/volume-anomalies.mdx
index 236743cd3..69ccd0484 100644
--- a/docs/guides/anomaly-detection-tests/volume-anomalies.mdx
+++ b/docs/guides/anomaly-detection-tests/volume-anomalies.mdx
@@ -36,6 +36,10 @@ No mandatory configuration, however it is highly recommended to configure a `tim
period: [hour | day | week | month]count: intseasonality: day_of_week
+ fail_on_zero: [true | false]
+ ignore_small_changes:
+ spike_failure_percent_threshold: int
+ drop_failure_percent_threshold: int
diff --git a/docs/mint.json b/docs/mint.json
index 93fd43324..11ca575f1 100644
--- a/docs/mint.json
+++ b/docs/mint.json
@@ -147,7 +147,9 @@
"guides/anomaly-detection-configuration/exclude_regexp",
"guides/anomaly-detection-configuration/dimensions",
"guides/anomaly-detection-configuration/event_timestamp_column",
- "guides/anomaly-detection-configuration/update_timestamp_column"
+ "guides/anomaly-detection-configuration/update_timestamp_column",
+ "guides/anomaly-detection-configuration/ignore_small_changes",
+ "guides/anomaly-detection-configuration/fail_on_zero"
]
}
]
diff --git a/elementary/monitor/data_monitoring/report/index.html b/elementary/monitor/data_monitoring/report/index.html
index ac153cd56..358589e90 100644
--- a/elementary/monitor/data_monitoring/report/index.html
+++ b/elementary/monitor/data_monitoring/report/index.html
@@ -25,7 +25,7 @@
+
@@ -181,6 +182,9 @@ Check out the [contributions guide](https://docs.elementary-data.com/general/con
+
+
+
diff --git a/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx b/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx
new file mode 100644
index 000000000..6c99a99aa
--- /dev/null
+++ b/docs/guides/anomaly-detection-configuration/fail_on_zero.mdx
@@ -0,0 +1,37 @@
+---
+title: "fail_on_zero"
+sidebarTitle: "fail_on_zero"
+---
+
+`fail_on_zero: true/false`
+
+Elementary anomaly detection tests will fail if there is a zero metric value within the detection period.
+If undefined, default is false.
+
+- _Default: false_
+- _Relevant tests: All anomaly detection tests_
+
+