diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/__init__.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/__init__.py
index 8d68d0a13e4a..1f76267967cf 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/__init__.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/__init__.py
@@ -101,6 +101,8 @@
     from .schedule_py3 import Schedule
     from .action_py3 import Action
     from .log_search_rule_resource_py3 import LogSearchRuleResource
+    from .log_search_rule_resource_patch_py3 import LogSearchRuleResourcePatch
+    from .log_metric_trigger_py3 import LogMetricTrigger
     from .trigger_condition_py3 import TriggerCondition
     from .az_ns_action_group_py3 import AzNsActionGroup
     from .alerting_action_py3 import AlertingAction
@@ -196,6 +198,8 @@
     from .schedule import Schedule
     from .action import Action
     from .log_search_rule_resource import LogSearchRuleResource
+    from .log_search_rule_resource_patch import LogSearchRuleResourcePatch
+    from .log_metric_trigger import LogMetricTrigger
     from .trigger_condition import TriggerCondition
     from .az_ns_action_group import AzNsActionGroup
     from .alerting_action import AlertingAction
@@ -214,8 +218,6 @@
     MetricStatisticType,
     TimeAggregationType,
     ComparisonOperationType,
-    ConditionalOperator,
-    MetricTriggerType,
     ScaleDirection,
     ScaleType,
     RecurrenceFrequency,
@@ -230,6 +232,8 @@
     Enabled,
     ProvisioningState,
     QueryType,
+    ConditionalOperator,
+    MetricTriggerType,
     AlertSeverity,
     ResultType,
 )
@@ -326,6 +330,8 @@
     'Schedule',
     'Action',
     'LogSearchRuleResource',
+    'LogSearchRuleResourcePatch',
+    'LogMetricTrigger',
     'TriggerCondition',
     'AzNsActionGroup',
     'AlertingAction',
@@ -343,8 +349,6 @@
     'MetricStatisticType',
     'TimeAggregationType',
     'ComparisonOperationType',
-    'ConditionalOperator',
-    'MetricTriggerType',
     'ScaleDirection',
     'ScaleType',
     'RecurrenceFrequency',
@@ -359,6 +363,8 @@
     'Enabled',
     'ProvisioningState',
     'QueryType',
+    'ConditionalOperator',
+    'MetricTriggerType',
     'AlertSeverity',
     'ResultType',
 ]
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger.py
new file mode 100644
index 000000000000..754ab30066fc
--- /dev/null
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger.py
@@ -0,0 +1,45 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from msrest.serialization import Model
+
+
+class LogMetricTrigger(Model):
+    """LogMetricTrigger.
+
+    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
+     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
+     'LessThan', 'Equal'
+    :type threshold_operator: str or
+     ~azure.mgmt.monitor.models.ConditionalOperator
+    :param threshold:
+    :type threshold: float
+    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
+     'Total'. Possible values include: 'Consecutive', 'Total'
+    :type metric_trigger_type: str or
+     ~azure.mgmt.monitor.models.MetricTriggerType
+    :param metric_column: Evaluation of metric on a particular column
+    :type metric_column: str
+    """
+
+    _attribute_map = {
+        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
+        'threshold': {'key': 'threshold', 'type': 'float'},
+        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
+        'metric_column': {'key': 'metricColumn', 'type': 'str'},
+    }
+
+    def __init__(self, **kwargs):
+        super(LogMetricTrigger, self).__init__(**kwargs)
+        self.threshold_operator = kwargs.get('threshold_operator', None)
+        self.threshold = kwargs.get('threshold', None)
+        self.metric_trigger_type = kwargs.get('metric_trigger_type', None)
+        self.metric_column = kwargs.get('metric_column', None)
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger_py3.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger_py3.py
new file mode 100644
index 000000000000..bcf1cfa94dc5
--- /dev/null
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger_py3.py
@@ -0,0 +1,45 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from msrest.serialization import Model
+
+
+class LogMetricTrigger(Model):
+    """LogMetricTrigger.
+
+    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
+     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
+     'LessThan', 'Equal'
+    :type threshold_operator: str or
+     ~azure.mgmt.monitor.models.ConditionalOperator
+    :param threshold:
+    :type threshold: float
+    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
+     'Total'. Possible values include: 'Consecutive', 'Total'
+    :type metric_trigger_type: str or
+     ~azure.mgmt.monitor.models.MetricTriggerType
+    :param metric_column: Evaluation of metric on a particular column
+    :type metric_column: str
+    """
+
+    _attribute_map = {
+        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
+        'threshold': {'key': 'threshold', 'type': 'float'},
+        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
+        'metric_column': {'key': 'metricColumn', 'type': 'str'},
+    }
+
+    def __init__(self, *, threshold_operator=None, threshold: float=None, metric_trigger_type=None, metric_column: str=None, **kwargs) -> None:
+        super(LogMetricTrigger, self).__init__(**kwargs)
+        self.threshold_operator = threshold_operator
+        self.threshold = threshold
+        self.metric_trigger_type = metric_trigger_type
+        self.metric_column = metric_column
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch.py
new file mode 100644
index 000000000000..350f17ce36ac
--- /dev/null
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch.py
@@ -0,0 +1,34 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from msrest.serialization import Model
+
+
+class LogSearchRuleResourcePatch(Model):
+    """The log search rule resource for patch operations.
+
+    :param tags: Resource tags
+    :type tags: dict[str, str]
+    :param enabled: The flag which indicates whether the Log Search rule is
+     enabled. Value should be true or false. Possible values include: 'true',
+     'false'
+    :type enabled: str or ~azure.mgmt.monitor.models.Enabled
+    """
+
+    _attribute_map = {
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'enabled': {'key': 'properties.enabled', 'type': 'str'},
+    }
+
+    def __init__(self, **kwargs):
+        super(LogSearchRuleResourcePatch, self).__init__(**kwargs)
+        self.tags = kwargs.get('tags', None)
+        self.enabled = kwargs.get('enabled', None)
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch_py3.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch_py3.py
new file mode 100644
index 000000000000..010407469673
--- /dev/null
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch_py3.py
@@ -0,0 +1,34 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for
+# license information.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from msrest.serialization import Model
+
+
+class LogSearchRuleResourcePatch(Model):
+    """The log search rule resource for patch operations.
+
+    :param tags: Resource tags
+    :type tags: dict[str, str]
+    :param enabled: The flag which indicates whether the Log Search rule is
+     enabled. Value should be true or false. Possible values include: 'true',
+     'false'
+    :type enabled: str or ~azure.mgmt.monitor.models.Enabled
+    """
+
+    _attribute_map = {
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'enabled': {'key': 'properties.enabled', 'type': 'str'},
+    }
+
+    def __init__(self, *, tags=None, enabled=None, **kwargs) -> None:
+        super(LogSearchRuleResourcePatch, self).__init__(**kwargs)
+        self.tags = tags
+        self.enabled = enabled
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger.py
index c674b66489f5..0bc042577bb6 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger.py
@@ -49,17 +49,6 @@ class MetricTrigger(Model):
     :param threshold: Required. the threshold of the metric that triggers the
      scale action.
     :type threshold: float
-    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
-     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
-     'LessThan', 'Equal'
-    :type threshold_operator: str or
-     ~azure.mgmt.monitor.models.ConditionalOperator
-    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
-     'Total'. Possible values include: 'Consecutive', 'Total'
-    :type metric_trigger_type: str or
-     ~azure.mgmt.monitor.models.MetricTriggerType
-    :param metric_column: Evaluation of metric on a particular column
-    :type metric_column: str
     """
 
     _validation = {
@@ -82,9 +71,6 @@ class MetricTrigger(Model):
         'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationType'},
         'operator': {'key': 'operator', 'type': 'ComparisonOperationType'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
-        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
-        'metric_column': {'key': 'metricColumn', 'type': 'str'},
     }
 
     def __init__(self, **kwargs):
@@ -97,6 +83,3 @@ def __init__(self, **kwargs):
         self.time_aggregation = kwargs.get('time_aggregation', None)
         self.operator = kwargs.get('operator', None)
         self.threshold = kwargs.get('threshold', None)
-        self.threshold_operator = kwargs.get('threshold_operator', None)
-        self.metric_trigger_type = kwargs.get('metric_trigger_type', None)
-        self.metric_column = kwargs.get('metric_column', None)
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger_py3.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger_py3.py
index 4cd6f809b9e7..991b29d2707c 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger_py3.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger_py3.py
@@ -49,17 +49,6 @@ class MetricTrigger(Model):
     :param threshold: Required. the threshold of the metric that triggers the
      scale action.
     :type threshold: float
-    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
-     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
-     'LessThan', 'Equal'
-    :type threshold_operator: str or
-     ~azure.mgmt.monitor.models.ConditionalOperator
-    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
-     'Total'. Possible values include: 'Consecutive', 'Total'
-    :type metric_trigger_type: str or
-     ~azure.mgmt.monitor.models.MetricTriggerType
-    :param metric_column: Evaluation of metric on a particular column
-    :type metric_column: str
     """
 
     _validation = {
@@ -82,12 +71,9 @@ class MetricTrigger(Model):
         'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationType'},
         'operator': {'key': 'operator', 'type': 'ComparisonOperationType'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
-        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
-        'metric_column': {'key': 'metricColumn', 'type': 'str'},
     }
 
-    def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, statistic, time_window, time_aggregation, operator, threshold: float, threshold_operator=None, metric_trigger_type=None, metric_column: str=None, **kwargs) -> None:
+    def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, statistic, time_window, time_aggregation, operator, threshold: float, **kwargs) -> None:
         super(MetricTrigger, self).__init__(**kwargs)
         self.metric_name = metric_name
         self.metric_resource_uri = metric_resource_uri
@@ -97,6 +83,3 @@ def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, st
         self.time_aggregation = time_aggregation
         self.operator = operator
         self.threshold = threshold
-        self.threshold_operator = threshold_operator
-        self.metric_trigger_type = metric_trigger_type
-        self.metric_column = metric_column
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/monitor_management_client_enums.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/monitor_management_client_enums.py
index de796532bfb7..d2bda057fbd3 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/monitor_management_client_enums.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/monitor_management_client_enums.py
@@ -39,19 +39,6 @@ class ComparisonOperationType(str, Enum):
     less_than_or_equal = "LessThanOrEqual"
 
 
-class ConditionalOperator(str, Enum):
-
-    greater_than = "GreaterThan"
-    less_than = "LessThan"
-    equal = "Equal"
-
-
-class MetricTriggerType(str, Enum):
-
-    consecutive = "Consecutive"
-    total = "Total"
-
-
 class ScaleDirection(str, Enum):
 
     none = "None"
@@ -166,6 +153,19 @@ class QueryType(str, Enum):
     result_count = "ResultCount"
 
 
+class ConditionalOperator(str, Enum):
+
+    greater_than = "GreaterThan"
+    less_than = "LessThan"
+    equal = "Equal"
+
+
+class MetricTriggerType(str, Enum):
+
+    consecutive = "Consecutive"
+    total = "Total"
+
+
 class AlertSeverity(str, Enum):
 
     zero = "0"
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition.py
index 9c011b1fcd62..e89fdc8c18f1 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition.py
@@ -26,7 +26,7 @@ class TriggerCondition(Model):
      should be triggered.
     :type threshold: float
     :param metric_trigger: Trigger condition for metric query rule
-    :type metric_trigger: ~azure.mgmt.monitor.models.MetricTrigger
+    :type metric_trigger: ~azure.mgmt.monitor.models.LogMetricTrigger
     """
 
     _validation = {
@@ -37,7 +37,7 @@ class TriggerCondition(Model):
     _attribute_map = {
         'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'metric_trigger': {'key': 'metricTrigger', 'type': 'MetricTrigger'},
+        'metric_trigger': {'key': 'metricTrigger', 'type': 'LogMetricTrigger'},
     }
 
     def __init__(self, **kwargs):
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition_py3.py b/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition_py3.py
index 1a492de47033..b21e39d9a53e 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition_py3.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition_py3.py
@@ -26,7 +26,7 @@ class TriggerCondition(Model):
      should be triggered.
     :type threshold: float
     :param metric_trigger: Trigger condition for metric query rule
-    :type metric_trigger: ~azure.mgmt.monitor.models.MetricTrigger
+    :type metric_trigger: ~azure.mgmt.monitor.models.LogMetricTrigger
     """
 
     _validation = {
@@ -37,7 +37,7 @@ class TriggerCondition(Model):
     _attribute_map = {
         'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'metric_trigger': {'key': 'metricTrigger', 'type': 'MetricTrigger'},
+        'metric_trigger': {'key': 'metricTrigger', 'type': 'LogMetricTrigger'},
     }
 
     def __init__(self, *, threshold_operator, threshold: float, metric_trigger=None, **kwargs) -> None:
diff --git a/azure-mgmt-monitor/azure/mgmt/monitor/operations/scheduled_query_rules_operations.py b/azure-mgmt-monitor/azure/mgmt/monitor/operations/scheduled_query_rules_operations.py
index 6227f567f391..16230f44386c 100644
--- a/azure-mgmt-monitor/azure/mgmt/monitor/operations/scheduled_query_rules_operations.py
+++ b/azure-mgmt-monitor/azure/mgmt/monitor/operations/scheduled_query_rules_operations.py
@@ -166,6 +166,79 @@ def get(
         return deserialized
     get.metadata = {'url': '/subscriptions/{subscriptionId}/resourcegroups/{resourceGroupName}/providers/microsoft.insights/scheduledQueryRules/{ruleName}'}
 
+    def update(
+            self, resource_group_name, rule_name, tags=None, enabled=None, custom_headers=None, raw=False, **operation_config):
+        """Update log search Rule.
+
+        :param resource_group_name: The name of the resource group.
+        :type resource_group_name: str
+        :param rule_name: The name of the rule.
+        :type rule_name: str
+        :param tags: Resource tags
+        :type tags: dict[str, str]
+        :param enabled: The flag which indicates whether the Log Search rule
+         is enabled. Value should be true or false. Possible values include:
+         'true', 'false'
+        :type enabled: str or ~azure.mgmt.monitor.models.Enabled
+        :param dict custom_headers: headers that will be added to the request
+        :param bool raw: returns the direct response alongside the
+         deserialized response
+        :param operation_config: :ref:`Operation configuration
+         overrides<msrest:optionsforoperations>`.
+        :return: LogSearchRuleResource or ClientRawResponse if raw=true
+        :rtype: ~azure.mgmt.monitor.models.LogSearchRuleResource or
+         ~msrest.pipeline.ClientRawResponse
+        :raises:
+         :class:`ErrorResponseException<azure.mgmt.monitor.models.ErrorResponseException>`
+        """
+        parameters = models.LogSearchRuleResourcePatch(tags=tags, enabled=enabled)
+
+        # Construct URL
+        url = self.update.metadata['url']
+        path_format_arguments = {
+            'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'),
+            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
+            'ruleName': self._serialize.url("rule_name", rule_name, 'str')
+        }
+        url = self._client.format_url(url, **path_format_arguments)
+
+        # Construct parameters
+        query_parameters = {}
+        query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
+
+        # Construct headers
+        header_parameters = {}
+        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
+        if self.config.generate_client_request_id:
+            header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
+        if custom_headers:
+            header_parameters.update(custom_headers)
+        if self.config.accept_language is not None:
+            header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
+
+        # Construct body
+        body_content = self._serialize.body(parameters, 'LogSearchRuleResourcePatch')
+
+        # Construct and send request
+        request = self._client.patch(url, query_parameters)
+        response = self._client.send(
+            request, header_parameters, body_content, stream=False, **operation_config)
+
+        if response.status_code not in [200]:
+            raise models.ErrorResponseException(self._deserialize, response)
+
+        deserialized = None
+
+        if response.status_code == 200:
+            deserialized = self._deserialize('LogSearchRuleResource', response)
+
+        if raw:
+            client_raw_response = ClientRawResponse(deserialized, response)
+            return client_raw_response
+
+        return deserialized
+    update.metadata = {'url': '/subscriptions/{subscriptionId}/resourcegroups/{resourceGroupName}/providers/microsoft.insights/scheduledQueryRules/{ruleName}'}
+
     def delete(
             self, resource_group_name, rule_name, custom_headers=None, raw=False, **operation_config):
         """Deletes a Log Search rule.