|
| 1 | +setup: |
| 2 | + - do: |
| 3 | + bulk: |
| 4 | + index: no_gaps |
| 5 | + refresh: true |
| 6 | + body: |
| 7 | + - { "index": { } } |
| 8 | + - { "@timestamp": "2022-01-01T00:00:00", "v": 1 } |
| 9 | + - { "index": { } } |
| 10 | + - { "@timestamp": "2022-01-01T01:00:00", "v": 2 } |
| 11 | + - { "index": { } } |
| 12 | + - { "@timestamp": "2022-01-01T02:00:00", "v": 1 } |
| 13 | + |
| 14 | + - do: |
| 15 | + bulk: |
| 16 | + index: gaps |
| 17 | + refresh: true |
| 18 | + body: |
| 19 | + - { "index": { } } |
| 20 | + - { "@timestamp": "2022-01-01T00:00:00", "v": 1 } |
| 21 | + - { "index": { } } |
| 22 | + - { "@timestamp": "2022-01-01T02:00:00", "v": 2 } |
| 23 | + - { "index": { } } |
| 24 | + - { "@timestamp": "2022-01-01T03:00:00", "v": 1 } |
| 25 | + |
| 26 | +--- |
| 27 | +basic: |
| 28 | + - skip: |
| 29 | + features: close_to |
| 30 | + |
| 31 | + - do: |
| 32 | + search: |
| 33 | + index: no_gaps |
| 34 | + body: |
| 35 | + size: 0 |
| 36 | + aggs: |
| 37 | + "@timestamp": |
| 38 | + date_histogram: |
| 39 | + field: "@timestamp" |
| 40 | + fixed_interval: 1h |
| 41 | + aggs: |
| 42 | + v: {avg: {field: v}} |
| 43 | + d: |
| 44 | + extended_stats_bucket: |
| 45 | + buckets_path: "@timestamp>v" |
| 46 | + - match: { hits.total.value: 3 } |
| 47 | + - length: { [email protected]: 3 } |
| 48 | + - match: { aggregations.d.count: 3 } |
| 49 | + - match: { aggregations.d.min: 1 } |
| 50 | + - match: { aggregations.d.max: 2 } |
| 51 | + - close_to: { aggregations.d.avg: {value: 1.333, error: 0.0005 }} |
| 52 | + - match: { aggregations.d.sum: 4.0 } |
| 53 | + - match: { aggregations.d.sum_of_squares: 6.0 } |
| 54 | + - close_to: { aggregations.d.variance: {value: 0.222, error: 0.0005 }} |
| 55 | + - close_to: { aggregations.d.variance_population: {value: 0.222, error: 0.0005 }} |
| 56 | + - close_to: { aggregations.d.variance_sampling: {value: 0.333, error: 0.0005 }} |
| 57 | + - close_to: { aggregations.d.std_deviation: {value: 0.471, error: 0.0005 }} |
| 58 | + - close_to: { aggregations.d.std_deviation_population: {value: 0.471, error: 0.0005 }} |
| 59 | + - close_to: { aggregations.d.std_deviation_sampling: {value: 0.577, error: 0.0005 }} |
| 60 | + - close_to: { aggregations.d.std_deviation_bounds.upper: {value: 2.276, error: 0.0005 }} |
| 61 | + - close_to: { aggregations.d.std_deviation_bounds.lower: {value: 0.391, error: 0.0005 }} |
| 62 | + - close_to: { aggregations.d.std_deviation_bounds.upper_population: {value: 2.276, error: 0.0005 }} |
| 63 | + - close_to: { aggregations.d.std_deviation_bounds.lower_population: {value: 0.391, error: 0.0005 }} |
| 64 | + - close_to: { aggregations.d.std_deviation_bounds.upper_sampling: {value: 2.488, error: 0.0005 }} |
| 65 | + - close_to: { aggregations.d.std_deviation_bounds.lower_sampling: {value: 0.179, error: 0.0005 }} |
| 66 | + |
| 67 | +--- |
| 68 | +format: |
| 69 | + - skip: |
| 70 | + features: close_to |
| 71 | + |
| 72 | + - do: |
| 73 | + search: |
| 74 | + index: no_gaps |
| 75 | + body: |
| 76 | + size: 0 |
| 77 | + aggs: |
| 78 | + "@timestamp": |
| 79 | + date_histogram: |
| 80 | + field: "@timestamp" |
| 81 | + fixed_interval: 1h |
| 82 | + aggs: |
| 83 | + v: {avg: {field: v}} |
| 84 | + d: |
| 85 | + extended_stats_bucket: |
| 86 | + buckets_path: "@timestamp>v" |
| 87 | + format: "0.00" |
| 88 | + - match: { hits.total.value: 3 } |
| 89 | + - length: { [email protected]: 3 } |
| 90 | + - match: { aggregations.d.count: 3 } |
| 91 | + - match: { aggregations.d.min: 1 } |
| 92 | + - match: { aggregations.d.max: 2 } |
| 93 | + - close_to: { aggregations.d.avg: {value: 1.333, error: 0.0005 }} |
| 94 | + - match: { aggregations.d.sum: 4.0 } |
| 95 | + - match: { aggregations.d.sum_of_squares: 6.0 } |
| 96 | + - close_to: { aggregations.d.variance: {value: 0.222, error: 0.0005 }} |
| 97 | + - close_to: { aggregations.d.variance_population: {value: 0.222, error: 0.0005 }} |
| 98 | + - close_to: { aggregations.d.variance_sampling: {value: 0.333, error: 0.0005 }} |
| 99 | + - close_to: { aggregations.d.std_deviation: {value: 0.471, error: 0.0005 }} |
| 100 | + - close_to: { aggregations.d.std_deviation_population: {value: 0.471, error: 0.0005 }} |
| 101 | + - close_to: { aggregations.d.std_deviation_sampling: {value: 0.577, error: 0.0005 }} |
| 102 | + - close_to: { aggregations.d.std_deviation_bounds.upper: {value: 2.276, error: 0.0005 }} |
| 103 | + - close_to: { aggregations.d.std_deviation_bounds.lower: {value: 0.391, error: 0.0005 }} |
| 104 | + - close_to: { aggregations.d.std_deviation_bounds.upper_population: {value: 2.276, error: 0.0005 }} |
| 105 | + - close_to: { aggregations.d.std_deviation_bounds.lower_population: {value: 0.391, error: 0.0005 }} |
| 106 | + - close_to: { aggregations.d.std_deviation_bounds.upper_sampling: {value: 2.488, error: 0.0005 }} |
| 107 | + - close_to: { aggregations.d.std_deviation_bounds.lower_sampling: {value: 0.179, error: 0.0005 }} |
| 108 | + - match: { aggregations.d.min_as_string: "1.00" } |
| 109 | + - match: { aggregations.d.max_as_string: "2.00" } |
| 110 | + - match: { aggregations.d.avg_as_string: "1.33" } |
| 111 | + - match: { aggregations.d.sum_as_string: "4.00" } |
| 112 | + - match: { aggregations.d.sum_of_squares_as_string: "6.00" } |
| 113 | + - match: { aggregations.d.variance_as_string: "0.22" } |
| 114 | + - match: { aggregations.d.variance_population_as_string: "0.22" } |
| 115 | + - match: { aggregations.d.variance_sampling_as_string: "0.33" } |
| 116 | + - match: { aggregations.d.std_deviation_as_string: "0.47" } |
| 117 | + - match: { aggregations.d.std_deviation_population_as_string: "0.47" } |
| 118 | + - match: { aggregations.d.std_deviation_sampling_as_string: "0.58" } |
| 119 | + - match: { aggregations.d.std_deviation_bounds_as_string.upper: "2.28" } |
| 120 | + - match: { aggregations.d.std_deviation_bounds_as_string.lower: "0.39" } |
| 121 | + - match: { aggregations.d.std_deviation_bounds_as_string.upper_population: "2.28" } |
| 122 | + - match: { aggregations.d.std_deviation_bounds_as_string.lower_population: "0.39" } |
| 123 | + - match: { aggregations.d.std_deviation_bounds_as_string.upper_sampling: "2.49" } |
| 124 | + - match: { aggregations.d.std_deviation_bounds_as_string.lower_sampling: "0.18" } |
| 125 | + |
| 126 | +--- |
| 127 | +gap_policy=skip: |
| 128 | + - skip: |
| 129 | + features: close_to |
| 130 | + |
| 131 | + - do: |
| 132 | + search: |
| 133 | + index: gaps |
| 134 | + body: |
| 135 | + size: 0 |
| 136 | + aggs: |
| 137 | + "@timestamp": |
| 138 | + date_histogram: |
| 139 | + field: "@timestamp" |
| 140 | + fixed_interval: 1h |
| 141 | + aggs: |
| 142 | + v: {avg: {field: v}} |
| 143 | + d: |
| 144 | + extended_stats_bucket: |
| 145 | + buckets_path: "@timestamp>v" |
| 146 | + gap_policy: skip |
| 147 | + - match: { hits.total.value: 3 } |
| 148 | + - length: { [email protected]: 4 } |
| 149 | + - match: { aggregations.d.count: 3 } |
| 150 | + - match: { aggregations.d.min: 1 } |
| 151 | + - match: { aggregations.d.max: 2 } |
| 152 | + - close_to: { aggregations.d.avg: {value: 1.333, error: 0.0005 }} |
| 153 | + - match: { aggregations.d.sum: 4.0 } |
| 154 | + - match: { aggregations.d.sum_of_squares: 6.0 } |
| 155 | + - close_to: { aggregations.d.variance: {value: 0.222, error: 0.0005 }} |
| 156 | + - close_to: { aggregations.d.variance_population: {value: 0.222, error: 0.0005 }} |
| 157 | + - close_to: { aggregations.d.variance_sampling: {value: 0.333, error: 0.0005 }} |
| 158 | + - close_to: { aggregations.d.std_deviation: {value: 0.471, error: 0.0005 }} |
| 159 | + - close_to: { aggregations.d.std_deviation_population: {value: 0.471, error: 0.0005 }} |
| 160 | + - close_to: { aggregations.d.std_deviation_sampling: {value: 0.577, error: 0.0005 }} |
| 161 | + - close_to: { aggregations.d.std_deviation_bounds.upper: {value: 2.276, error: 0.0005 }} |
| 162 | + - close_to: { aggregations.d.std_deviation_bounds.lower: {value: 0.391, error: 0.0005 }} |
| 163 | + - close_to: { aggregations.d.std_deviation_bounds.upper_population: {value: 2.276, error: 0.0005 }} |
| 164 | + - close_to: { aggregations.d.std_deviation_bounds.lower_population: {value: 0.391, error: 0.0005 }} |
| 165 | + - close_to: { aggregations.d.std_deviation_bounds.upper_sampling: {value: 2.488, error: 0.0005 }} |
| 166 | + - close_to: { aggregations.d.std_deviation_bounds.lower_sampling: {value: 0.179, error: 0.0005 }} |
| 167 | + |
| 168 | +--- |
| 169 | +gap_policy=insert_zeros: |
| 170 | + - skip: |
| 171 | + features: close_to |
| 172 | + |
| 173 | + - do: |
| 174 | + search: |
| 175 | + index: gaps |
| 176 | + body: |
| 177 | + size: 0 |
| 178 | + aggs: |
| 179 | + "@timestamp": |
| 180 | + date_histogram: |
| 181 | + field: "@timestamp" |
| 182 | + fixed_interval: 1h |
| 183 | + aggs: |
| 184 | + v: {avg: {field: v}} |
| 185 | + d: |
| 186 | + extended_stats_bucket: |
| 187 | + buckets_path: "@timestamp>v" |
| 188 | + gap_policy: insert_zeros |
| 189 | + - match: { hits.total.value: 3 } |
| 190 | + - length: { [email protected]: 4 } |
| 191 | + - match: { aggregations.d.count: 4 } |
| 192 | + - match: { aggregations.d.min: 0 } |
| 193 | + - match: { aggregations.d.max: 2 } |
| 194 | + - match: { aggregations.d.avg: 1 } |
| 195 | + - match: { aggregations.d.sum: 4.0 } |
| 196 | + - match: { aggregations.d.sum_of_squares: 6.0 } |
| 197 | + - close_to: { aggregations.d.variance: {value: 0.500, error: 0.0005 }} |
| 198 | + - close_to: { aggregations.d.variance_population: {value: 0.500, error: 0.0005 }} |
| 199 | + - close_to: { aggregations.d.variance_sampling: {value: 0.667, error: 0.0005 }} |
| 200 | + - close_to: { aggregations.d.std_deviation: {value: 0.707, error: 0.0005 }} |
| 201 | + - close_to: { aggregations.d.std_deviation_population: {value: 0.707, error: 0.0005 }} |
| 202 | + - close_to: { aggregations.d.std_deviation_sampling: {value: 0.816, error: 0.0005 }} |
| 203 | + - close_to: { aggregations.d.std_deviation_bounds.upper: {value: 2.414, error: 0.0005 }} |
| 204 | + - close_to: { aggregations.d.std_deviation_bounds.lower: {value: -0.414, error: 0.0005 }} |
| 205 | + - close_to: { aggregations.d.std_deviation_bounds.upper_population: {value: 2.414, error: 0.0005 }} |
| 206 | + - close_to: { aggregations.d.std_deviation_bounds.lower_population: {value: -0.414, error: 0.0005 }} |
| 207 | + - close_to: { aggregations.d.std_deviation_bounds.upper_sampling: {value: 2.633, error: 0.0005 }} |
| 208 | + - close_to: { aggregations.d.std_deviation_bounds.lower_sampling: {value: -0.633, error: 0.0005 }} |
| 209 | + |
| 210 | +--- |
| 211 | +gap_policy=keep_value: |
| 212 | + - skip: |
| 213 | + features: close_to |
| 214 | + |
| 215 | + - do: |
| 216 | + search: |
| 217 | + index: gaps |
| 218 | + body: |
| 219 | + size: 0 |
| 220 | + aggs: |
| 221 | + "@timestamp": |
| 222 | + date_histogram: |
| 223 | + field: "@timestamp" |
| 224 | + fixed_interval: 1h |
| 225 | + aggs: |
| 226 | + v: {avg: {field: v}} |
| 227 | + d: |
| 228 | + extended_stats_bucket: |
| 229 | + buckets_path: "@timestamp>v" |
| 230 | + gap_policy: keep_values |
| 231 | + - match: { hits.total.value: 3 } |
| 232 | + - length: { [email protected]: 4 } |
| 233 | + - match: { aggregations.d.count: 3 } |
| 234 | + - match: { aggregations.d.min: 1 } |
| 235 | + - match: { aggregations.d.max: 2 } |
| 236 | + - close_to: { aggregations.d.avg: {value: 1.333, error: 0.0005 }} |
| 237 | + - match: { aggregations.d.sum: 4.0 } |
| 238 | + - match: { aggregations.d.sum_of_squares: 6.0 } |
| 239 | + - close_to: { aggregations.d.variance: {value: 0.222, error: 0.0005 }} |
| 240 | + - close_to: { aggregations.d.variance_population: {value: 0.222, error: 0.0005 }} |
| 241 | + - close_to: { aggregations.d.variance_sampling: {value: 0.333, error: 0.0005 }} |
| 242 | + - close_to: { aggregations.d.std_deviation: {value: 0.471, error: 0.0005 }} |
| 243 | + - close_to: { aggregations.d.std_deviation_population: {value: 0.471, error: 0.0005 }} |
| 244 | + - close_to: { aggregations.d.std_deviation_sampling: {value: 0.577, error: 0.0005 }} |
| 245 | + - close_to: { aggregations.d.std_deviation_bounds.upper: {value: 2.276, error: 0.0005 }} |
| 246 | + - close_to: { aggregations.d.std_deviation_bounds.lower: {value: 0.391, error: 0.0005 }} |
| 247 | + - close_to: { aggregations.d.std_deviation_bounds.upper_population: {value: 2.276, error: 0.0005 }} |
| 248 | + - close_to: { aggregations.d.std_deviation_bounds.lower_population: {value: 0.391, error: 0.0005 }} |
| 249 | + - close_to: { aggregations.d.std_deviation_bounds.upper_sampling: {value: 2.488, error: 0.0005 }} |
| 250 | + - close_to: { aggregations.d.std_deviation_bounds.lower_sampling: {value: 0.179, error: 0.0005 }} |
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