ebbabec40b
Existing benchmarks for samples list query are updated via new context and adding new configured query parameters. It allow to find a weak places in requesting Ceilometer data and extend count of scenarios which use in Ceilometer. Change-Id: If2c780ab6cf9a3bdfb339e9b96b34d909ff17f28
41 lines
1.4 KiB
JSON
41 lines
1.4 KiB
JSON
{
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"CeilometerSamples.list_matched_samples": [
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{
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"runner": {
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"type": "constant",
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"times": 10,
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"concurrency": 2
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},
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"context": {
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"users": {
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"tenants": 2,
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"users_per_tenant": 2
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},
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"ceilometer": {
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"counter_name": "cpu_util",
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"counter_type": "gauge",
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"counter_unit": "instance",
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"counter_volume": 1.0,
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"resources_per_tenant": 100,
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"samples_per_resource": 100,
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"timestamp_interval": 60,
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"metadata_list": [
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{"status": "active", "name": "fake_resource",
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"deleted": "False",
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"created_at": "2015-09-04T12:34:19.000000"},
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{"status": "not_active", "name": "fake_resource_1",
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"deleted": "False",
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"created_at": "2015-09-10T06:55:12.000000"}
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]
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}
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},
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"args":{
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"filter_by_user_id": true,
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"filter_by_project_id": true,
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"filter_by_resource_id": true,
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"limit": 50,
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"metadata_query": {"status": "not_active"}
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}
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}
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]
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} |