Dataset
Use the Dataset API to retrieve Dremio's reflection recommendations for your datasets.
Dataset Object (All Reflections){
"data": [
{
"type": "RAW",
"enabled": true,
"arrowCachingEnabled": false,
"displayFields": [
{
"name": "pickup_datetime"
},
{
"name": "passenger_count"
},
{
"name": "trip_distance_mi"
},
{
"name": "fare_amount"
},
{
"name": "tip_amount"
},
{
"name": "total_amount"
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
},
{
"type": "AGGREGATION",
"enabled": true,
"arrowCachingEnabled": false,
"dimensionFields": [
{
"name": "passenger_count",
"granularity": "DATE"
}
],
"measureFields": [
{
"name": "total_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "trip_distance_mi",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "fare_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "tip_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
}
]
}
Dataset Attributes
data Array of Object
List of recommended reflection objects for the specified dataset ID.
Attributes of objects in the data Array
type String
Reflection type. For details, read Types of Reflections.
Enum: RAW, AGGREGATION
Example: RAW
enabled Boolean
If the reflection is available for accelerating queries, true. Otherwise, false.
Example: true
arrowCachingEnabled Boolean
If Dremio converts data from the reflection's Parquet files to Apache Arrow format when copying that data to executor nodes, true. Otherwise, false.
Example: false
displayFields Array of Object
Information about the fields displayed from the anchor dataset. Each object in the displayFields array contains one attribute: name. Included only for raw reflections. Not included for aggregation reflections.
Example: [{"name":"pickup_datetime"},{"name":"passenger_count"},{"name":"trip_distance_mi"},{"name":"fare_amount"},{"name":"tip_amount"},{"name":"total_amount"}]
dimensionFields Array of Object
Information about the dimension fields from the anchor dataset used in the reflection. Dimension fields are the fields you expect to group by when analyzing data. Each object in the dimensionFields array contains two attributes: name and granularity. Included only for aggregation reflections. If the anchor dataset does not include any dimension fields, the dimensionFields value is an empty array. Not included for raw reflections.
Example: [{"name":"passenger_count","granularity":"DATE"}]
measureFields Array of Object
Information about the measure fields from the anchor dataset used in the reflection. Measure fields are the fields you expect to use for calculations when analyzing the data. Each object in the measureFields array contains two attributes: name and measureTypeList. Included only for aggregation reflections. If the anchor dataset does not include any measure fields, the measureFields value is an empty array. Not included for raw reflections.
Example: [{"name":"total_amount","measureTypeList":["COUNT","SUM"]},{"name":"trip_distance_mi","measureTypeList":["COUNT","SUM"]},{"name":"fare_amount","measureTypeList":["COUNT","SUM"]},{"name":"tip_amount","measureTypeList":["COUNT","SUM"]}]
partitionFields Array of Object
Information about the fields from the anchor dataset used to partition data in the reflection. Each object in the partitionFields array contains one attribute: name. Included only for aggregation reflections. If the anchor dataset does not include any partition fields, the partitionFields value is an empty array. Not included for raw reflections.
Example: [{"name":"dropoff_date"},{"name":"passenger_count"}]
entityType String
Type of entity. For objects in dataset responses, the entityType is reflection.
Creating and Retrieving Reflection Recommendations for a Dataset
Create reflection recommendations for the specified dataset. The response contains the reflection recommendations.
Method and URLPOST /v0/dataset/{id}/reflection/recommendation/{type}/
Parameters
id Path String (UUID)
The id of the dataset for which you want to create and retrieve recommended reflections.
Example: 88e5fbdf-4b56-4286-9b8b-bb48e1f350eb
type Path String
The type of reflection recommendations you want to create and retrieve.
- ALL: Create and retreive both raw and aggregation reflection recommendations.
- RAW: Create and retreive only raw reflection recommendations.
- AGG: Create and retreive only aggregation reflection recommendations.
NOTE: The type is not case-sensitive. For example, AGG, agg, and aGg are valid type values for aggregation reflection recommendations.
Example: ALL
Example Request (All Reflections)curl -X POST 'https://api.dremio.cloud/v0/dataset/88e5fbdf-4b56-4286-9b8b-bb48e1f350eb/reflection/recommendation/ALL/' \
--header 'Authorization: Bearer <PersonalAccessToken>' \
--header 'Content-Type: application/json'
{
"data": [
{
"type": "RAW",
"enabled": true,
"arrowCachingEnabled": false,
"displayFields": [
{
"name": "pickup_datetime"
},
{
"name": "passenger_count"
},
{
"name": "trip_distance_mi"
},
{
"name": "fare_amount"
},
{
"name": "tip_amount"
},
{
"name": "total_amount"
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
},
{
"type": "AGGREGATION",
"enabled": true,
"arrowCachingEnabled": false,
"dimensionFields": [
{
"name": "passenger_count",
"granularity": "DATE"
}
],
"measureFields": [
{
"name": "total_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "trip_distance_mi",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "fare_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "tip_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
}
]
}
curl -X POST 'https://api.dremio.cloud/v0/dataset/88e5fbdf-4b56-4286-9b8b-bb48e1f350eb/reflection/recommendation/RAW/' \
--header 'Authorization: Bearer <PersonalAccessToken>' \
--header 'Content-Type: application/json'
{
"data": [
{
"type": "RAW",
"enabled": true,
"arrowCachingEnabled": false,
"displayFields": [
{
"name": "pickup_datetime"
},
{
"name": "passenger_count"
},
{
"name": "trip_distance_mi"
},
{
"name": "fare_amount"
},
{
"name": "tip_amount"
},
{
"name": "total_amount"
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
}
]
}
curl -X POST 'https://api.dremio.cloud/v0/dataset/88e5fbdf-4b56-4286-9b8b-bb48e1f350eb/reflection/recommendation/AGG/' \
--header 'Authorization: Bearer <PersonalAccessToken>' \
--header 'Content-Type: application/json'
{
"data": [
{
"type": "AGGREGATION",
"enabled": true,
"arrowCachingEnabled": false,
"dimensionFields": [
{
"name": "passenger_count",
"granularity": "DATE"
}
],
"measureFields": [
{
"name": "total_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "trip_distance_mi",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "fare_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
},
{
"name": "tip_amount",
"measureTypeList": [
"COUNT",
"SUM"
]
}
],
"partitionFields": [
{
"name": "dropoff_date"
},
{
"name": "passenger_count"
}
],
"entityType": "reflection"
}
]
}
Response Status Codes
200 OK
400 Bad Request
401 Unauthorized
405 Method Not Allowed
500 Internal Server Error