The subscription identifier for the resources in this batch.

The API version to use for this operation.

The start time of the query. It is a string in the format 'yyyy-MM-ddTHH:mm:ss.fffZ'. If you have specified the endtime parameter, then this parameter is required. If only starttime is specified, then endtime defaults to the current time. If no time interval is specified, the default is 1 hour.

The end time of the query. It is a string in the format 'yyyy-MM-ddTHH:mm:ss.fffZ'.

The interval (i.e. timegrain) of the query in ISO 8601 duration format. Defaults to PT1M. Special case for 'FULL' value that returns single datapoint for entire time span requested. Examples: PT15M, PT1H, P1D, FULL

Metric namespace that contains the requested metric names.

The names of the metrics (comma separated) to retrieve.

The list of aggregation types (comma separated) to retrieve. Examples: average, minimum, maximum

The maximum number of records to retrieve per resource ID in the request. Valid only if filter is specified. Defaults to 10.

The aggregation to use for sorting results and the direction of the sort. Only one order can be specified. Examples: sum asc

The filter is used to reduce the set of metric data returned.<br>Example:<br>Metric contains metadata A, B and C.<br>- Return all time series of C where A = a1 and B = b1 or b2<br>filter=A eq ‘a1’ and B eq ‘b1’ or B eq ‘b2’ and C eq ‘*’<br>- Invalid variant:<br>filter=A eq ‘a1’ and B eq ‘b1’ and C eq ‘*’ or B = ‘b2’<br>This is invalid because the logical or operator cannot separate two different metadata names.<br>- Return all time series where A = a1, B = b1 and C = c1:<br>filter=A eq ‘a1’ and B eq ‘b1’ and C eq ‘c1’<br>- Return all time series where A = a1<br>filter=A eq ‘a1’ and B eq ‘’ and C eq ‘’.

Dimension name(s) to rollup results by. For example if you only want to see metric values with a filter like 'City eq Seattle or City eq Tacoma' but don't want to see separate values for each city, you can specify 'RollUpBy=City' to see the results for Seattle and Tacoma rolled up into one timeseries.