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Add yaml test for transforms with synthetic mode (#112054)
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This provides coverage for transforms over logs, when we enable logsdb
by default.
kkrik-es authored Oct 1, 2024

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simple:
- skip:
features: headers

- do:
indices.create:
index: airline-data
body:
mappings:
_source:
mode: synthetic
properties:
time:
type: date
airline:
type: keyword
responsetime:
type: float
event_rate:
type: integer

- do:
index:
index: airline-data
id: "1"
body: '{ "time": "2017-02-18T00:00:00Z", "airline": "airline1", "responsetime": 1.0, "event_rate": 5 }'

- do:
index:
index: airline-data
id: "2"
body: '{ "time": "2017-02-18T00:30:00Z", "airline": "airline1", "responsetime": 2.0, "event_rate": 6 }'

- do:
index:
index: airline-data
id: "3"
body: '{ "time": "2017-02-18T01:00:00Z", "airline": "airline2", "responsetime": 11.0, "event_rate": 8 }'

- do:
index:
index: airline-data
id: "4"
body: '{ "time": "2017-02-18T01:01:00Z", "airline": "airline1", "responsetime": 22.0, "event_rate": 7 }'

- do:
indices.refresh:
index: airline-data

- do:
transform.preview_transform:
body: >
{
"source": { "index": "airline-data" },
"pivot": {
"group_by": {
"airline": {"terms": {"field": "airline"}},
"by-hour": {"date_histogram": {"fixed_interval": "1h", "field": "time"}}},
"aggs": {
"avg_response": {"avg": {"field": "responsetime"}},
"time.max": {"max": {"field": "time"}},
"time.min": {"min": {"field": "time"}}
}
}
}
- match: { preview.0.airline: airline1 }
- match: { preview.0.by-hour: "2017-02-18T00:00:00.000Z" }
- match: { preview.0.avg_response: 1.5 }
- match: { preview.0.time.max: "2017-02-18T00:30:00.000Z" }
- match: { preview.0.time.min: "2017-02-18T00:00:00.000Z" }
- match: { preview.1.airline: airline1 }
- match: { preview.1.by-hour: "2017-02-18T01:00:00.000Z" }
- match: { preview.1.avg_response: 22.0 }
- match: { preview.1.time.max: "2017-02-18T01:01:00.000Z" }
- match: { preview.1.time.min: "2017-02-18T01:01:00.000Z" }
- match: { preview.2.airline: airline2 }
- match: { preview.2.by-hour: "2017-02-18T01:00:00.000Z" }
- match: { preview.2.avg_response: 11.0 }
- match: { preview.2.time.max: "2017-02-18T01:00:00.000Z" }
- match: { preview.2.time.min: "2017-02-18T01:00:00.000Z" }
- match: { generated_dest_index.mappings.properties.airline.type: "keyword" }
- match: { generated_dest_index.mappings.properties.by-hour.type: "date" }
- match: { generated_dest_index.mappings.properties.avg_response.type: "double" }
- match: { generated_dest_index.mappings.properties.time\.max.type: "date" }
- match: { generated_dest_index.mappings.properties.time\.min.type: "date" }

- do:
transform.preview_transform:
body: >
{
"source": { "index": "airline-data" },
"latest": {
"unique_key": ["airline"],
"sort": "time"
}
}
- length: { $body: 2 }
- match: { preview.0.airline: airline1 }
- match: { preview.0.time: "2017-02-18T01:01:00.000Z" }
- match: { preview.0.responsetime: 22.0 }
- match: { preview.1.airline: airline2 }
- match: { preview.1.time: "2017-02-18T01:00:00.000Z" }
- match: { preview.1.responsetime: 11.0 }

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