API documentation for monitoring_v3.services.query_service.pagers
module.
Classes
QueryTimeSeriesAsyncPager
QueryTimeSeriesAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesResponse
],
],
request: google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesRequest,
response: google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through query_time_series
requests.
This class thinly wraps an initial
QueryTimeSeriesResponse object, and
provides an __aiter__
method to iterate through its
time_series_data
field.
If there are more pages, the __aiter__
method will make additional
QueryTimeSeries
requests and continue to iterate
through the time_series_data
field on the
corresponding responses.
All the usual QueryTimeSeriesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
QueryTimeSeriesPager
QueryTimeSeriesPager(
method: Callable[
[...], google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesResponse
],
request: google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesRequest,
response: google.cloud.monitoring_v3.types.metric_service.QueryTimeSeriesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through query_time_series
requests.
This class thinly wraps an initial
QueryTimeSeriesResponse object, and
provides an __iter__
method to iterate through its
time_series_data
field.
If there are more pages, the __iter__
method will make additional
QueryTimeSeries
requests and continue to iterate
through the time_series_data
field on the
corresponding responses.
All the usual QueryTimeSeriesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.