Blame - docs/dyn/logging_v2.projects.metrics.html - platform/external/python/google-api-python-client

blob: a2a834a0679fdf1d510d399a04675255bb43b795 [file] [log] [blame]

Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	1	<html><body>
				2	<style>
				3
				4	body, h1, h2, h3, div, span, p, pre, a {
				5	margin: 0;
				6	padding: 0;
				7	border: 0;
				8	font-weight: inherit;
				9	font-style: inherit;
				10	font-size: 100%;
				11	font-family: inherit;
				12	vertical-align: baseline;
				13	}
				14
				15	body {
				16	font-size: 13px;
				17	padding: 1em;
				18	}
				19
				20	h1 {
				21	font-size: 26px;
				22	margin-bottom: 1em;
				23	}
				24
				25	h2 {
				26	font-size: 24px;
				27	margin-bottom: 1em;
				28	}
				29
				30	h3 {
				31	font-size: 20px;
				32	margin-bottom: 1em;
				33	margin-top: 1em;
				34	}
				35
				36	pre, code {
				37	line-height: 1.5;
				38	font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
				39	}
				40
				41	pre {
				42	margin-top: 0.5em;
				43	}
				44
				45	h1, h2, h3, p {
				46	font-family: Arial, sans serif;
				47	}
				48
				49	h1, h2, h3 {
				50	border-bottom: solid #CCC 1px;
				51	}
				52
				53	.toc_element {
				54	margin-top: 0.5em;
				55	}
				56
				57	.firstline {
				58	margin-left: 2 em;
				59	}
				60
				61	.method {
				62	margin-top: 1em;
				63	border: solid 1px #CCC;
				64	padding: 1em;
				65	background: #EEE;
				66	}
				67
				68	.details {
				69	font-weight: bold;
				70	font-size: 14px;
				71	}
				72
				73	</style>
				74
Dan O'Meara	dd49464	2020-05-01 07:42:23 -0700	[diff] [blame]	75	<h1><a href="logging_v2.html">Cloud Logging API</a> . <a href="logging_v2.projects.html">projects</a> . <a href="logging_v2.projects.metrics.html">metrics</a></h1>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	76	<h2>Instance Methods</h2>
				77	<p class="toc_element">
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	78	<code><a href="#close">close()</a></code></p>
				79	<p class="firstline">Close httplib2 connections.</p>
				80	<p class="toc_element">
Dan O'Meara	dd49464	2020-05-01 07:42:23 -0700	[diff] [blame]	81	<code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	82	<p class="firstline">Creates a logs-based metric.</p>
				83	<p class="toc_element">
Thomas Coffee	2f24537	2017-03-27 10:39:26 -0700	[diff] [blame]	84	<code><a href="#delete">delete(metricName, x__xgafv=None)</a></code></p>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	85	<p class="firstline">Deletes a logs-based metric.</p>
				86	<p class="toc_element">
Thomas Coffee	2f24537	2017-03-27 10:39:26 -0700	[diff] [blame]	87	<code><a href="#get">get(metricName, x__xgafv=None)</a></code></p>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	88	<p class="firstline">Gets a logs-based metric.</p>
				89	<p class="toc_element">
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	90	<code><a href="#list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	91	<p class="firstline">Lists logs-based metrics.</p>
				92	<p class="toc_element">
				93	<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
				94	<p class="firstline">Retrieves the next page of results.</p>
				95	<p class="toc_element">
Dan O'Meara	dd49464	2020-05-01 07:42:23 -0700	[diff] [blame]	96	<code><a href="#update">update(metricName, body=None, x__xgafv=None)</a></code></p>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	97	<p class="firstline">Creates or updates a logs-based metric.</p>
				98	<h3>Method Details</h3>
				99	<div class="method">
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	100	<code class="details" id="close">close()</code>
				101	<pre>Close httplib2 connections.</pre>
				102	</div>
				103
				104	<div class="method">
Dan O'Meara	dd49464	2020-05-01 07:42:23 -0700	[diff] [blame]	105	<code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	106	<pre>Creates a logs-based metric.
				107
				108	Args:
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	109	parent: string, Required. The resource name of the project in which to create the metric: "projects/[PROJECT_ID]" The new metric must be provided in the request. (required)
Dan O'Meara	dd49464	2020-05-01 07:42:23 -0700	[diff] [blame]	110	body: object, The request body.
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	111	The object takes the form of:
				112
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	113	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	114	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				115	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				116	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				117	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				118	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				119	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				120	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				121	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				122	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				123	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				124	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				125	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				126	},
				127	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				128	"A String",
				129	],
				130	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				131	"name": "A String", # The resource name of the metric descriptor.
				132	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				133	{ # A description of a label.
				134	"description": "A String", # A human-readable description for the label.
				135	"key": "A String", # The label key.
				136	"valueType": "A String", # The type of data that can be assigned to the label.
				137	},
				138	],
				139	},
				140	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	141	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	142	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	143	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				144	"a_key": "A String",
				145	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	146	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	147	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	148	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	149	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				150	"numFiniteBuckets": 42, # Must be greater than 0.
				151	"growthFactor": 3.14, # Must be greater than 1.
				152	"scale": 3.14, # Must be greater than 0.
				153	},
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	154	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	155	"bounds": [ # The values must be monotonically increasing.
				156	3.14,
				157	],
				158	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	159	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	160	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	161	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	162	"offset": 3.14, # Lower bound of the first bucket.
				163	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	164	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	165	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	166	}
				167
				168	x__xgafv: string, V1 error format.
				169	Allowed values
				170	1 - v1 error format
				171	2 - v2 error format
				172
				173	Returns:
				174	An object of the form:
				175
				176	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	177	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				178	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				179	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				180	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				181	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				182	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				183	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				184	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				185	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				186	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				187	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				188	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				189	},
				190	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				191	"A String",
				192	],
				193	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				194	"name": "A String", # The resource name of the metric descriptor.
				195	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				196	{ # A description of a label.
				197	"description": "A String", # A human-readable description for the label.
				198	"key": "A String", # The label key.
				199	"valueType": "A String", # The type of data that can be assigned to the label.
				200	},
				201	],
				202	},
				203	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	204	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	205	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	206	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				207	"a_key": "A String",
				208	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	209	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	210	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	211	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	212	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				213	"numFiniteBuckets": 42, # Must be greater than 0.
				214	"growthFactor": 3.14, # Must be greater than 1.
				215	"scale": 3.14, # Must be greater than 0.
				216	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	217	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
				218	"bounds": [ # The values must be monotonically increasing.
				219	3.14,
				220	],
				221	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	222	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	223	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	224	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	225	"offset": 3.14, # Lower bound of the first bucket.
				226	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	227	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	228	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	229	}</pre>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	230	</div>
				231
				232	<div class="method">
Thomas Coffee	2f24537	2017-03-27 10:39:26 -0700	[diff] [blame]	233	<code class="details" id="delete">delete(metricName, x__xgafv=None)</code>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	234	<pre>Deletes a logs-based metric.
				235
				236	Args:
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	237	metricName: string, Required. The resource name of the metric to delete: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" (required)
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	238	x__xgafv: string, V1 error format.
				239	Allowed values
				240	1 - v1 error format
				241	2 - v2 error format
				242
				243	Returns:
				244	An object of the form:
				245
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	246	{ # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	247	}</pre>
				248	</div>
				249
				250	<div class="method">
Thomas Coffee	2f24537	2017-03-27 10:39:26 -0700	[diff] [blame]	251	<code class="details" id="get">get(metricName, x__xgafv=None)</code>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	252	<pre>Gets a logs-based metric.
				253
				254	Args:
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	255	metricName: string, Required. The resource name of the desired metric: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" (required)
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	256	x__xgafv: string, V1 error format.
				257	Allowed values
				258	1 - v1 error format
				259	2 - v2 error format
				260
				261	Returns:
				262	An object of the form:
				263
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	264	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	265	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				266	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				267	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				268	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				269	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				270	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				271	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				272	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				273	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				274	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				275	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				276	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				277	},
				278	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				279	"A String",
				280	],
				281	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				282	"name": "A String", # The resource name of the metric descriptor.
				283	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				284	{ # A description of a label.
				285	"description": "A String", # A human-readable description for the label.
				286	"key": "A String", # The label key.
				287	"valueType": "A String", # The type of data that can be assigned to the label.
				288	},
				289	],
				290	},
				291	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	292	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	293	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	294	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				295	"a_key": "A String",
				296	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	297	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	298	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	299	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	300	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				301	"numFiniteBuckets": 42, # Must be greater than 0.
				302	"growthFactor": 3.14, # Must be greater than 1.
				303	"scale": 3.14, # Must be greater than 0.
				304	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	305	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
				306	"bounds": [ # The values must be monotonically increasing.
				307	3.14,
				308	],
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	309	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	310	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	311	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	312	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	313	"offset": 3.14, # Lower bound of the first bucket.
				314	},
Bu Sun Kim	715bd7f	2019-06-14 16:50:42 -0700	[diff] [blame]	315	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	316	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	317	}</pre>
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	318	</div>
				319
				320	<div class="method">
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	321	<code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code>
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	322	<pre>Lists logs-based metrics.
				323
				324	Args:
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	325	parent: string, Required. The name of the project containing the metrics: "projects/[PROJECT_ID]" (required)
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	326	pageSize: integer, Optional. The maximum number of results to return from this request. Non-positive values are ignored. The presence of nextPageToken in the response indicates that more results might be available.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	327	pageToken: string, Optional. If present, then retrieve the next batch of results from the preceding call to this method. pageToken must be the value of nextPageToken from the previous response. The values of other method parameters should be identical to those in the previous call.
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	328	x__xgafv: string, V1 error format.
				329	Allowed values
				330	1 - v1 error format
				331	2 - v2 error format
				332
				333	Returns:
				334	An object of the form:
				335
				336	{ # Result returned from ListLogMetrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	337	"nextPageToken": "A String", # If there might be more results than appear in this response, then nextPageToken is included. To get the next set of results, call this method again using the value of nextPageToken as pageToken.
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	338	"metrics": [ # A list of logs-based metrics.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	339	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	340	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				341	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				342	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				343	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				344	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				345	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				346	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				347	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				348	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				349	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				350	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				351	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				352	},
				353	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				354	"A String",
				355	],
				356	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				357	"name": "A String", # The resource name of the metric descriptor.
				358	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				359	{ # A description of a label.
				360	"description": "A String", # A human-readable description for the label.
				361	"key": "A String", # The label key.
				362	"valueType": "A String", # The type of data that can be assigned to the label.
				363	},
				364	],
				365	},
				366	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	367	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	368	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	369	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				370	"a_key": "A String",
				371	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	372	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	373	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	374	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	375	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				376	"numFiniteBuckets": 42, # Must be greater than 0.
				377	"growthFactor": 3.14, # Must be greater than 1.
				378	"scale": 3.14, # Must be greater than 0.
				379	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	380	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
				381	"bounds": [ # The values must be monotonically increasing.
				382	3.14,
				383	],
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	384	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	385	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	386	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	387	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	388	"offset": 3.14, # Lower bound of the first bucket.
				389	},
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	390	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	391	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	392	},
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	393	],
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	394	}</pre>
				395	</div>
				396
				397	<div class="method">
				398	<code class="details" id="list_next">list_next(previous_request, previous_response)</code>
				399	<pre>Retrieves the next page of results.
				400
				401	Args:
				402	previous_request: The request for the previous page. (required)
				403	previous_response: The response from the request for the previous page. (required)
				404
				405	Returns:
				406	A request object that you can call 'execute()' on to request the next
				407	page. Returns None if there are no more items in the collection.
				408	</pre>
				409	</div>
				410
				411	<div class="method">
				412	<code class="details" id="update">update(metricName, body=None, x__xgafv=None)</code>
				413	<pre>Creates or updates a logs-based metric.
				414
				415	Args:
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	416	metricName: string, Required. The resource name of the metric to update: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" The updated metric must be provided in the request and it's name field must be the same as [METRIC_ID] If the metric does not exist in [PROJECT_ID], then a new metric is created. (required)
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	417	body: object, The request body.
				418	The object takes the form of:
				419
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	420	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	421	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				422	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				423	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				424	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				425	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				426	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				427	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				428	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				429	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				430	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				431	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				432	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				433	},
				434	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				435	"A String",
				436	],
				437	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				438	"name": "A String", # The resource name of the metric descriptor.
				439	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				440	{ # A description of a label.
				441	"description": "A String", # A human-readable description for the label.
				442	"key": "A String", # The label key.
				443	"valueType": "A String", # The type of data that can be assigned to the label.
				444	},
				445	],
				446	},
				447	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	448	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	449	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	450	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				451	"a_key": "A String",
				452	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	453	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	454	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	455	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	456	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				457	"numFiniteBuckets": 42, # Must be greater than 0.
				458	"growthFactor": 3.14, # Must be greater than 1.
				459	"scale": 3.14, # Must be greater than 0.
				460	},
Dmitry Frenkel	3e17f89	2020-10-06 16:46:05 -0700	[diff] [blame]	461	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
Bu Sun Kim	6502091	2020-05-20 12:08:20 -0700	[diff] [blame]	462	"bounds": [ # The values must be monotonically increasing.
				463	3.14,
Bu Sun Kim	715bd7f	2019-06-14 16:50:42 -0700	[diff] [blame]	464	],
Bu Sun Kim	715bd7f	2019-06-14 16:50:42 -0700	[diff] [blame]	465	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	466	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	467	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	468	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	469	"offset": 3.14, # Lower bound of the first bucket.
				470	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	471	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	472	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	473	}
				474
				475	x__xgafv: string, V1 error format.
				476	Allowed values
				477	1 - v1 error format
				478	2 - v2 error format
				479
				480	Returns:
				481	An object of the form:
				482
				483	{ # Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval.Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	484	"description": "A String", # Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
				485	"metricDescriptor": { # Defines a metric type and its schema. Once a metric descriptor is created, deleting or altering it stops data collection and makes the metric type's existing data unusable. # Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
				486	"unit": "A String", # The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems may scale the values to be more easily displayed (so a value of 0.02KBy might be displayed as 20By, and a value of 3523KBy might be displayed as 3.5MBy). However, if the unit is KBy, then the value of the metric is always in thousands of bytes, no matter how it may be displayed..If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (http://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT \| "%" ) [ Annotation ] \| Annotation \| "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
				487	"valueType": "A String", # Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
				488	"description": "A String", # A detailed description of the metric, which can be used in documentation.
				489	"displayName": "A String", # A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
				490	"launchStage": "A String", # Optional. The launch stage of the metric definition.
				491	"metricKind": "A String", # Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
				492	"metadata": { # Additional annotations that can be used to guide the usage of a metric. # Optional. Metadata which can be used to guide usage of the metric.
				493	"ingestDelay": "A String", # The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
				494	"launchStage": "A String", # Deprecated. Must use the MetricDescriptor.launch_stage instead.
				495	"samplePeriod": "A String", # The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
				496	},
				497	"monitoredResourceTypes": [ # Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
				498	"A String",
				499	],
				500	"type": "A String", # The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
				501	"name": "A String", # The resource name of the metric descriptor.
				502	"labels": [ # The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
				503	{ # A description of a label.
				504	"description": "A String", # A human-readable description for the label.
				505	"key": "A String", # The label key.
				506	"valueType": "A String", # The type of data that can be assigned to the label.
				507	},
				508	],
				509	},
				510	"filter": "A String", # Required. An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	511	"createTime": "A String", # Output only. The creation timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	512	"name": "A String", # Required. The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.The metric identifier in this field must not be URL-encoded (https://en.wikipedia.org/wiki/Percent-encoding). However, when the metric identifier appears as the [METRIC_ID] part of a metric_name API parameter, then the metric identifier must be URL-encoded. Example: "projects/my-project/metrics/nginx%2Frequests".
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	513	"labelExtractors": { # Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If the either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
				514	"a_key": "A String",
				515	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	516	"updateTime": "A String", # Output only. The last update timestamp of the metric.This field may not be present for older metrics.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	517	"valueExtractor": "A String", # Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The argument are: 1. field: The name of the log entry field from which the value is to be extracted. 2. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	518	"bucketOptions": { # BucketOptions describes the bucket boundaries used to create a histogram for the distribution. The buckets can be in a linear sequence, an exponential sequence, or each bucket can be specified explicitly. BucketOptions does not include the number of values in each bucket.A bucket has an inclusive lower bound and exclusive upper bound for the values that are counted for that bucket. The upper bound of a bucket must be strictly greater than the lower bound. The sequence of N buckets for a distribution consists of an underflow bucket (number 0), zero or more finite buckets (number 1 through N - 2) and an overflow bucket (number N - 1). The buckets are contiguous: the lower bound of bucket i (i > 0) is the same as the upper bound of bucket i - 1. The buckets span the whole range of finite values: lower bound of the underflow bucket is -infinity and the upper bound of the overflow bucket is +infinity. The finite buckets are so-called because both bounds are finite. # Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
Yoshi Automation Bot	0d561ef	2020-11-25 07:50:41 -0800	[diff] [blame]	519	"exponentialBuckets": { # Specifies an exponential sequence of buckets that have a width that is proportional to the value of the lower bound. Each bucket represents a constant relative uncertainty on a specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): scale * (growth_factor ^ i). Lower bound (1 <= i < N): scale * (growth_factor ^ (i - 1)). # The exponential buckets.
				520	"numFiniteBuckets": 42, # Must be greater than 0.
				521	"growthFactor": 3.14, # Must be greater than 1.
				522	"scale": 3.14, # Must be greater than 0.
				523	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	524	"explicitBuckets": { # Specifies a set of buckets with arbitrary widths.There are size(bounds) + 1 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): boundsi Lower bound (1 <= i < N); boundsi - 1The bounds field must contain at least one element. If bounds has only one element, then there are no finite buckets, and that single element is the common boundary of the overflow and underflow buckets. # The explicit buckets.
				525	"bounds": [ # The values must be monotonically increasing.
				526	3.14,
				527	],
				528	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	529	"linearBuckets": { # Specifies a linear sequence of buckets that all have the same width (except overflow and underflow). Each bucket represents a constant absolute uncertainty on the specific value in the bucket.There are num_finite_buckets + 2 (= N) buckets. Bucket i has the following boundaries:Upper bound (0 <= i < N-1): offset + (width * i). Lower bound (1 <= i < N): offset + (width * (i - 1)). # The linear bucket.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	530	"numFiniteBuckets": 42, # Must be greater than 0.
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	531	"width": 3.14, # Must be greater than 0.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	532	"offset": 3.14, # Lower bound of the first bucket.
				533	},
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	534	},
Yoshi Automation Bot	c2228be	2020-11-24 15:48:03 -0800	[diff] [blame]	535	"version": "A String", # Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.
Bu Sun Kim	673ec5c	2020-11-16 11:05:03 -0700	[diff] [blame]	536	}</pre>
Sai Cheemalapati	df61397	2016-10-21 13:59:49 -0700	[diff] [blame]	537	</div>
				538
				539	</body></html>