docs/MetricsApi.md in mux_ruby-3.5.2 vs docs/MetricsApi.md in mux_ruby-3.6.0
- old
+ new
@@ -36,11 +36,11 @@
opts = {
timeframe: ['inner_example'], # Array<String> | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days`
filters: ['inner_example'], # Array<String> | Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter. To exclude rows that match a certain condition, prepend a `!` character to the dimension. Possible filter names are the same as returned by the List Filters endpoint. Example: * `filters[]=operating_system:windows&filters[]=!country:US`
measurement: '95th', # String | Measurement for the provided metric. If omitted, the default for the metric will be used.
order_direction: 'asc', # String | Sort order.
- group_by: 'ten_minutes' # String | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.
+ group_by: 'ten_minutes' # String | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.
}
begin
# Get metric timeseries data
result = api_instance.get_metric_timeseries_data(metric_id, opts)
@@ -75,10 +75,10 @@
| **metric_id** | **String** | ID of the Metric | |
| **timeframe** | [**Array<String>**](String.md) | Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=). Accepted formats are... * array of epoch timestamps e.g. `timeframe[]=1498867200&timeframe[]=1498953600` * duration string e.g. `timeframe[]=24:hours or timeframe[]=7:days` | [optional] |
| **filters** | [**Array<String>**](String.md) | Limit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter. To exclude rows that match a certain condition, prepend a `!` character to the dimension. Possible filter names are the same as returned by the List Filters endpoint. Example: * `filters[]=operating_system:windows&filters[]=!country:US` | [optional] |
| **measurement** | **String** | Measurement for the provided metric. If omitted, the default for the metric will be used. | [optional] |
| **order_direction** | **String** | Sort order. | [optional] |
-| **group_by** | **String** | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 hours inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 hours is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. | [optional] |
+| **group_by** | **String** | Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe. For timeframes of 6 hours or less, the default granularity is `ten_minutes`. Between 6 hours and 15 days inclusive, the default granularity is `hour`. The granularity of timeframes that exceed 15 days is `day`. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity. | [optional] |
### Return type
[**GetMetricTimeseriesDataResponse**](GetMetricTimeseriesDataResponse.md)