|
| 1 | +--- |
| 2 | +setup: |
| 3 | + - requires: |
| 4 | + capabilities: |
| 5 | + - method: POST |
| 6 | + path: /_query |
| 7 | + parameters: [ ] |
| 8 | + capabilities: [ global_timezone_parameter ] |
| 9 | + test_runner_features: [ capabilities ] |
| 10 | + reason: "Check timezone capability" |
| 11 | + - do: |
| 12 | + indices.create: |
| 13 | + index: logs |
| 14 | + body: |
| 15 | + mappings: |
| 16 | + properties: |
| 17 | + "@timestamp": |
| 18 | + type: date |
| 19 | + |
| 20 | + - do: |
| 21 | + bulk: |
| 22 | + index: tzs |
| 23 | + refresh: true |
| 24 | + body: |
| 25 | + - { "index": { } } |
| 26 | + - { "@timestamp": "2025-05-31T00:00:00Z" } |
| 27 | + - { "index": { } } |
| 28 | + - { "@timestamp": "2025-05-31T01:00:00Z" } |
| 29 | + - { "index": { } } |
| 30 | + - { "@timestamp": "2025-05-31T22:00:00Z" } |
| 31 | + - { "index": { } } |
| 32 | + - { "@timestamp": "2025-05-31T23:00:00Z" } |
| 33 | + |
| 34 | +--- |
| 35 | +Default UTC: |
| 36 | + - do: |
| 37 | + esql.query: |
| 38 | + body: |
| 39 | + query: | |
| 40 | + FROM tzs |
| 41 | + | EVAL |
| 42 | + hour=DATE_EXTRACT("hour_of_day", @timestamp), |
| 43 | + day_name=DAY_NAME(@timestamp), |
| 44 | + month_name=MONTH_NAME(@timestamp) |
| 45 | + | SORT @timestamp ASC |
| 46 | + | LIMIT 5 |
| 47 | +
|
| 48 | + - length: { columns: 4 } |
| 49 | + - match: { columns.0.name: "@timestamp" } |
| 50 | + - match: { columns.1.name: "hour" } |
| 51 | + - match: { columns.2.name: "day_name" } |
| 52 | + - match: { columns.3.name: "month_name" } |
| 53 | + |
| 54 | + - length: { values: 4 } |
| 55 | + - match: { values.0.0: "2025-05-31T00:00:00.000Z" } |
| 56 | + - match: { values.0.1: 0 } |
| 57 | + - match: { values.0.2: "Saturday" } |
| 58 | + - match: { values.0.3: "May" } |
| 59 | + - match: { values.1.0: "2025-05-31T01:00:00.000Z" } |
| 60 | + - match: { values.1.1: 1 } |
| 61 | + - match: { values.1.2: "Saturday" } |
| 62 | + - match: { values.1.3: "May" } |
| 63 | + - match: { values.2.0: "2025-05-31T22:00:00.000Z" } |
| 64 | + - match: { values.2.1: 22 } |
| 65 | + - match: { values.2.2: "Saturday" } |
| 66 | + - match: { values.2.3: "May" } |
| 67 | + - match: { values.3.0: "2025-05-31T23:00:00.000Z" } |
| 68 | + - match: { values.3.1: 23 } |
| 69 | + - match: { values.3.2: "Saturday" } |
| 70 | + - match: { values.3.3: "May" } |
| 71 | + |
| 72 | +--- |
| 73 | +Paris tz with SET: |
| 74 | + - do: |
| 75 | + esql.query: |
| 76 | + body: |
| 77 | + query: | |
| 78 | + SET time_zone="Europe/Paris"; |
| 79 | + FROM tzs |
| 80 | + | EVAL |
| 81 | + hour=DATE_EXTRACT("hour_of_day", @timestamp), |
| 82 | + day_name=DAY_NAME(@timestamp), |
| 83 | + month_name=MONTH_NAME(@timestamp) |
| 84 | + | SORT @timestamp ASC |
| 85 | + | LIMIT 5 |
| 86 | +
|
| 87 | + - length: { columns: 4 } |
| 88 | + - match: { columns.0.name: "@timestamp" } |
| 89 | + - match: { columns.1.name: "hour" } |
| 90 | + - match: { columns.2.name: "day_name" } |
| 91 | + - match: { columns.3.name: "month_name" } |
| 92 | + |
| 93 | + - length: { values: 4 } |
| 94 | + - match: { values.0.0: "2025-05-31T00:00:00.000Z" } |
| 95 | + - match: { values.0.1: 2 } |
| 96 | + - match: { values.0.2: "Saturday" } |
| 97 | + - match: { values.0.3: "May" } |
| 98 | + - match: { values.1.0: "2025-05-31T01:00:00.000Z" } |
| 99 | + - match: { values.1.1: 3 } |
| 100 | + - match: { values.1.2: "Saturday" } |
| 101 | + - match: { values.1.3: "May" } |
| 102 | + - match: { values.2.0: "2025-05-31T22:00:00.000Z" } |
| 103 | + - match: { values.2.1: 0 } |
| 104 | + - match: { values.2.2: "Sunday" } |
| 105 | + - match: { values.2.3: "June" } |
| 106 | + - match: { values.3.0: "2025-05-31T23:00:00.000Z" } |
| 107 | + - match: { values.3.1: 1 } |
| 108 | + - match: { values.3.2: "Sunday" } |
| 109 | + - match: { values.3.3: "June" } |
| 110 | + |
| 111 | +--- |
| 112 | +Paris tz with request parameter: |
| 113 | + - do: |
| 114 | + esql.query: |
| 115 | + body: |
| 116 | + time_zone: "Europe/Paris" |
| 117 | + query: | |
| 118 | + FROM tzs |
| 119 | + | EVAL |
| 120 | + hour=DATE_EXTRACT("hour_of_day", @timestamp), |
| 121 | + day_name=DAY_NAME(@timestamp), |
| 122 | + month_name=MONTH_NAME(@timestamp) |
| 123 | + | SORT @timestamp ASC |
| 124 | + | LIMIT 5 |
| 125 | +
|
| 126 | + - length: { columns: 4 } |
| 127 | + - match: { columns.0.name: "@timestamp" } |
| 128 | + - match: { columns.1.name: "hour" } |
| 129 | + - match: { columns.2.name: "day_name" } |
| 130 | + - match: { columns.3.name: "month_name" } |
| 131 | + |
| 132 | + - length: { values: 4 } |
| 133 | + - match: { values.0.0: "2025-05-31T00:00:00.000Z" } |
| 134 | + - match: { values.0.1: 2 } |
| 135 | + - match: { values.0.2: "Saturday" } |
| 136 | + - match: { values.0.3: "May" } |
| 137 | + - match: { values.1.0: "2025-05-31T01:00:00.000Z" } |
| 138 | + - match: { values.1.1: 3 } |
| 139 | + - match: { values.1.2: "Saturday" } |
| 140 | + - match: { values.1.3: "May" } |
| 141 | + - match: { values.2.0: "2025-05-31T22:00:00.000Z" } |
| 142 | + - match: { values.2.1: 0 } |
| 143 | + - match: { values.2.2: "Sunday" } |
| 144 | + - match: { values.2.3: "June" } |
| 145 | + - match: { values.3.0: "2025-05-31T23:00:00.000Z" } |
| 146 | + - match: { values.3.1: 1 } |
| 147 | + - match: { values.3.2: "Sunday" } |
| 148 | + - match: { values.3.3: "June" } |
| 149 | + |
| 150 | +--- |
| 151 | +Set overrides request parameter: |
| 152 | + - do: |
| 153 | + esql.query: |
| 154 | + body: |
| 155 | + time_zone: "Europe/Paris" |
| 156 | + query: | |
| 157 | + SET time_zone="+04:00"; |
| 158 | + FROM tzs |
| 159 | + | EVAL |
| 160 | + hour=DATE_EXTRACT("hour_of_day", @timestamp), |
| 161 | + day_name=DAY_NAME(@timestamp), |
| 162 | + month_name=MONTH_NAME(@timestamp) |
| 163 | + | SORT @timestamp ASC |
| 164 | + | LIMIT 5 |
| 165 | +
|
| 166 | + - length: { columns: 4 } |
| 167 | + - match: { columns.0.name: "@timestamp" } |
| 168 | + - match: { columns.1.name: "hour" } |
| 169 | + - match: { columns.2.name: "day_name" } |
| 170 | + - match: { columns.3.name: "month_name" } |
| 171 | + |
| 172 | + - length: { values: 4 } |
| 173 | + - match: { values.0.0: "2025-05-31T00:00:00.000Z" } |
| 174 | + - match: { values.0.1: 4 } |
| 175 | + - match: { values.0.2: "Saturday" } |
| 176 | + - match: { values.0.3: "May" } |
| 177 | + - match: { values.1.0: "2025-05-31T01:00:00.000Z" } |
| 178 | + - match: { values.1.1: 5 } |
| 179 | + - match: { values.1.2: "Saturday" } |
| 180 | + - match: { values.1.3: "May" } |
| 181 | + - match: { values.2.0: "2025-05-31T22:00:00.000Z" } |
| 182 | + - match: { values.2.1: 2 } |
| 183 | + - match: { values.2.2: "Sunday" } |
| 184 | + - match: { values.2.3: "June" } |
| 185 | + - match: { values.3.0: "2025-05-31T23:00:00.000Z" } |
| 186 | + - match: { values.3.1: 3 } |
| 187 | + - match: { values.3.2: "Sunday" } |
| 188 | + - match: { values.3.3: "June" } |
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