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<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Monitoring\Resource;
use Google\Service\Monitoring\ListTimeSeriesResponse;
/**
* The "timeSeries" collection of methods.
* Typical usage is:
* <code>
* $monitoringService = new Google\Service\Monitoring(...);
* $timeSeries = $monitoringService->timeSeries;
* </code>
*/
class FoldersTimeSeries extends \Google\Service\Resource
{
/**
* Lists time series that match a filter. This method does not require a
* Workspace. (timeSeries.listFoldersTimeSeries)
*
* @param string $name Required. The project
* (https://cloud.google.com/monitoring/api/v3#project_name), organization or
* folder on which to execute the request. The format is:
* projects/[PROJECT_ID_OR_NUMBER] organizations/[ORGANIZATION_ID]
* folders/[FOLDER_ID]
* @param array $optParams Optional parameters.
*
* @opt_param string aggregation.alignmentPeriod The alignment_period specifies
* a time interval, in seconds, that is used to divide the data in all the time
* series into consistent blocks of time. This will be done before the per-
* series aligner can be applied to the data.The value must be at least 60
* seconds. If a per-series aligner other than ALIGN_NONE is specified, this
* field is required or an error is returned. If no per-series aligner is
* specified, or the aligner ALIGN_NONE is specified, then this field is
* ignored.The maximum value of the alignment_period is 104 weeks (2 years) for
* charts, and 90,000 seconds (25 hours) for alerting policies.
* @opt_param string aggregation.crossSeriesReducer The reduction operation to
* be used to combine time series into a single time series, where the value of
* each data point in the resulting series is a function of all the already
* aligned values in the input time series.Not all reducer operations can be
* applied to all time series. The valid choices depend on the metric_kind and
* the value_type of the original time series. Reduction can yield a time series
* with a different metric_kind or value_type than the input time series.Time
* series data must first be aligned (see per_series_aligner) in order to
* perform cross-time series reduction. If cross_series_reducer is specified,
* then per_series_aligner must be specified, and must not be ALIGN_NONE. An
* alignment_period must also be specified; otherwise, an error is returned.
* @opt_param string aggregation.groupByFields The set of fields to preserve
* when cross_series_reducer is specified. The group_by_fields determine how the
* time series are partitioned into subsets prior to applying the aggregation
* operation. Each subset contains time series that have the same value for each
* of the grouping fields. Each individual time series is a member of exactly
* one subset. The cross_series_reducer is applied to each subset of time
* series. It is not possible to reduce across different resource types, so this
* field implicitly contains resource.type. Fields not specified in
* group_by_fields are aggregated away. If group_by_fields is not specified and
* all the time series have the same resource type, then the time series are
* aggregated into a single output time series. If cross_series_reducer is not
* defined, this field is ignored.
* @opt_param string aggregation.perSeriesAligner An Aligner describes how to
* bring the data points in a single time series into temporal alignment. Except
* for ALIGN_NONE, all alignments cause all the data points in an
* alignment_period to be mathematically grouped together, resulting in a single
* data point for each alignment_period with end timestamp at the end of the
* period.Not all alignment operations may be applied to all time series. The
* valid choices depend on the metric_kind and value_type of the original time
* series. Alignment can change the metric_kind or the value_type of the time
* series.Time series data must be aligned in order to perform cross-time series
* reduction. If cross_series_reducer is specified, then per_series_aligner must
* be specified and not equal to ALIGN_NONE and alignment_period must be
* specified; otherwise, an error is returned.
* @opt_param string filter Required. A monitoring filter
* (https://cloud.google.com/monitoring/api/v3/filters) that specifies which
* time series should be returned. The filter must specify a single metric type,
* and can additionally specify metric labels and other information. For
* example: metric.type = "compute.googleapis.com/instance/cpu/usage_time" AND
* metric.labels.instance_name = "my-instance-name"
* @opt_param string interval.endTime Required. The end of the time interval.
* @opt_param string interval.startTime Optional. The beginning of the time
* interval. The default value for the start time is the end time. The start
* time must not be later than the end time.
* @opt_param string orderBy Unsupported: must be left blank. The points in each
* time series are currently returned in reverse time order (most recent to
* oldest).
* @opt_param int pageSize A positive number that is the maximum number of
* results to return. If page_size is empty or more than 100,000 results, the
* effective page_size is 100,000 results. If view is set to FULL, this is the
* maximum number of Points returned. If view is set to HEADERS, this is the
* maximum number of TimeSeries returned.
* @opt_param string pageToken If this field is not empty then it must contain
* the nextPageToken value returned by a previous call to this method. Using
* this field causes the method to return additional results from the previous
* method call.
* @opt_param string secondaryAggregation.alignmentPeriod The alignment_period
* specifies a time interval, in seconds, that is used to divide the data in all
* the time series into consistent blocks of time. This will be done before the
* per-series aligner can be applied to the data.The value must be at least 60
* seconds. If a per-series aligner other than ALIGN_NONE is specified, this
* field is required or an error is returned. If no per-series aligner is
* specified, or the aligner ALIGN_NONE is specified, then this field is
* ignored.The maximum value of the alignment_period is 104 weeks (2 years) for
* charts, and 90,000 seconds (25 hours) for alerting policies.
* @opt_param string secondaryAggregation.crossSeriesReducer The reduction
* operation to be used to combine time series into a single time series, where
* the value of each data point in the resulting series is a function of all the
* already aligned values in the input time series.Not all reducer operations
* can be applied to all time series. The valid choices depend on the
* metric_kind and the value_type of the original time series. Reduction can
* yield a time series with a different metric_kind or value_type than the input
* time series.Time series data must first be aligned (see per_series_aligner)
* in order to perform cross-time series reduction. If cross_series_reducer is
* specified, then per_series_aligner must be specified, and must not be
* ALIGN_NONE. An alignment_period must also be specified; otherwise, an error
* is returned.
* @opt_param string secondaryAggregation.groupByFields The set of fields to
* preserve when cross_series_reducer is specified. The group_by_fields
* determine how the time series are partitioned into subsets prior to applying
* the aggregation operation. Each subset contains time series that have the
* same value for each of the grouping fields. Each individual time series is a
* member of exactly one subset. The cross_series_reducer is applied to each
* subset of time series. It is not possible to reduce across different resource
* types, so this field implicitly contains resource.type. Fields not specified
* in group_by_fields are aggregated away. If group_by_fields is not specified
* and all the time series have the same resource type, then the time series are
* aggregated into a single output time series. If cross_series_reducer is not
* defined, this field is ignored.
* @opt_param string secondaryAggregation.perSeriesAligner An Aligner describes
* how to bring the data points in a single time series into temporal alignment.
* Except for ALIGN_NONE, all alignments cause all the data points in an
* alignment_period to be mathematically grouped together, resulting in a single
* data point for each alignment_period with end timestamp at the end of the
* period.Not all alignment operations may be applied to all time series. The
* valid choices depend on the metric_kind and value_type of the original time
* series. Alignment can change the metric_kind or the value_type of the time
* series.Time series data must be aligned in order to perform cross-time series
* reduction. If cross_series_reducer is specified, then per_series_aligner must
* be specified and not equal to ALIGN_NONE and alignment_period must be
* specified; otherwise, an error is returned.
* @opt_param string view Required. Specifies which information is returned
* about the time series.
* @return ListTimeSeriesResponse
*/
public function listFoldersTimeSeries($name, $optParams = [])
{
$params = ['name' => $name];
$params = array_merge($params, $optParams);
return $this->call('list', [$params], ListTimeSeriesResponse::class);
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(FoldersTimeSeries::class, 'Google_Service_Monitoring_Resource_FoldersTimeSeries');