# Dataset Definition
URL: https://docs.datarobot.com/en/docs/api/reference/public-api/dataset_definition.html

> The endpoints below outline how to create and manage data source definitions.

# Dataset Definition

The endpoints below outline how to create and manage data source definitions.

## List all dataset definitions

Operation path: `GET /api/v2/datasetDefinitions/`

Authentication requirements: `BearerAuth`

List all dataset definitions.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| offset | query | integer | false | This many results will be skipped. |
| limit | query | integer | false | At most this many results are returned. |

### Example responses

> 200 Response

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of user-defined dataset definitions.",
      "items": {
        "properties": {
          "creatorUserId": {
            "description": "The ID of the user who created the dataset definition.",
            "type": "string"
          },
          "datasetInfo": {
            "description": "Information about the dataset.",
            "properties": {
              "columns": {
                "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 1000,
                "minItems": 2,
                "type": "array"
              },
              "dataSourceId": {
                "default": null,
                "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dataStoreId": {
                "default": null,
                "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dialect": {
                "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
                "enum": [
                  "snowflake",
                  "bigquery",
                  "databricks",
                  "spark",
                  "postgres"
                ],
                "type": "string"
              },
              "estimatedSizePerRow": {
                "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "sourceSize": {
                "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalRows": {
                "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "version": {
                "description": "The version of the dataset definition information.",
                "type": "integer"
              }
            },
            "required": [
              "columns",
              "dataSourceId",
              "dataStoreId",
              "dialect",
              "estimatedSizePerRow",
              "sourceSize",
              "totalRows",
              "version"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "datasetProps": {
            "description": "Dataset properties.",
            "properties": {
              "datasetId": {
                "description": "The ID of the AI Catalog dataset.",
                "type": "string"
              },
              "datasetVersionId": {
                "description": "The version ID of the AI Catalog dataset.",
                "type": "string"
              }
            },
            "required": [
              "datasetId",
              "datasetVersionId"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "dynamicDatasetProps": {
            "description": "Dynamic dataset additional properties.",
            "properties": {
              "credentialsId": {
                "default": null,
                "description": "The ID of the credentials to access the data store.",
                "type": [
                  "string",
                  "null"
                ]
              }
            },
            "required": [
              "credentialsId"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the dataset definition.",
            "type": "string"
          },
          "name": {
            "description": "The name of the dataset definition.",
            "type": "string"
          }
        },
        "required": [
          "creatorUserId",
          "datasetInfo",
          "datasetProps",
          "dynamicDatasetProps",
          "id",
          "name"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | none | DatasetDefPaginatedResponse |

## Create a dataset definition

Operation path: `POST /api/v2/datasetDefinitions/`

Authentication requirements: `BearerAuth`

Create a dataset definition.

### Body parameter

```
{
  "properties": {
    "credentialsId": {
      "description": "The ID of the credentials to access the data store.",
      "type": "string"
    },
    "datasetId": {
      "description": "The ID of the AI Catalog dataset.",
      "type": "string"
    },
    "datasetVersionId": {
      "default": null,
      "description": "The version ID of the AI Catalog dataset.",
      "type": [
        "string",
        "null"
      ]
    },
    "name": {
      "default": null,
      "description": "The name of the dataset definition.",
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "datasetId"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| body | body | DatasetDefCreate | false | none |

### Example responses

> 201 Response

```
{
  "properties": {
    "creatorUserId": {
      "description": "The ID of the user who created the dataset definition.",
      "type": "string"
    },
    "datasetInfo": {
      "description": "Information about the dataset.",
      "properties": {
        "columns": {
          "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 1000,
          "minItems": 2,
          "type": "array"
        },
        "dataSourceId": {
          "default": null,
          "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dataStoreId": {
          "default": null,
          "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dialect": {
          "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
          "enum": [
            "snowflake",
            "bigquery",
            "databricks",
            "spark",
            "postgres"
          ],
          "type": "string"
        },
        "estimatedSizePerRow": {
          "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "sourceSize": {
          "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalRows": {
          "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "version": {
          "description": "The version of the dataset definition information.",
          "type": "integer"
        }
      },
      "required": [
        "columns",
        "dataSourceId",
        "dataStoreId",
        "dialect",
        "estimatedSizePerRow",
        "sourceSize",
        "totalRows",
        "version"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "datasetProps": {
      "description": "Dataset properties.",
      "properties": {
        "datasetId": {
          "description": "The ID of the AI Catalog dataset.",
          "type": "string"
        },
        "datasetVersionId": {
          "description": "The version ID of the AI Catalog dataset.",
          "type": "string"
        }
      },
      "required": [
        "datasetId",
        "datasetVersionId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "dynamicDatasetProps": {
      "description": "Dynamic dataset additional properties.",
      "properties": {
        "credentialsId": {
          "default": null,
          "description": "The ID of the credentials to access the data store.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "credentialsId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the dataset definition.",
      "type": "string"
    },
    "name": {
      "description": "The name of the dataset definition.",
      "type": "string"
    }
  },
  "required": [
    "creatorUserId",
    "datasetInfo",
    "datasetProps",
    "dynamicDatasetProps",
    "id",
    "name"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 201 | Created | Dataset definition created successfully. | DatasetDefResponse |

## Soft delete a dataset definition based by dataset definition ID

Operation path: `DELETE /api/v2/datasetDefinitions/{datasetDefinitionId}/`

Authentication requirements: `BearerAuth`

Soft delete a dataset definition.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 204 | No Content | none | None |

## Retrieve a dataset definition based by dataset definition ID

Operation path: `GET /api/v2/datasetDefinitions/{datasetDefinitionId}/`

Authentication requirements: `BearerAuth`

Retrieve a dataset definition.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| version | query | integer | false | The version of the dataset definition information. |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |

### Example responses

> 200 Response

```
{
  "properties": {
    "creatorUserId": {
      "description": "The ID of the user who created the dataset definition.",
      "type": "string"
    },
    "datasetInfo": {
      "description": "Information about the dataset.",
      "properties": {
        "columns": {
          "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 1000,
          "minItems": 2,
          "type": "array"
        },
        "dataSourceId": {
          "default": null,
          "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dataStoreId": {
          "default": null,
          "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dialect": {
          "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
          "enum": [
            "snowflake",
            "bigquery",
            "databricks",
            "spark",
            "postgres"
          ],
          "type": "string"
        },
        "estimatedSizePerRow": {
          "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "sourceSize": {
          "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalRows": {
          "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "version": {
          "description": "The version of the dataset definition information.",
          "type": "integer"
        }
      },
      "required": [
        "columns",
        "dataSourceId",
        "dataStoreId",
        "dialect",
        "estimatedSizePerRow",
        "sourceSize",
        "totalRows",
        "version"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "datasetProps": {
      "description": "Dataset properties.",
      "properties": {
        "datasetId": {
          "description": "The ID of the AI Catalog dataset.",
          "type": "string"
        },
        "datasetVersionId": {
          "description": "The version ID of the AI Catalog dataset.",
          "type": "string"
        }
      },
      "required": [
        "datasetId",
        "datasetVersionId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "dynamicDatasetProps": {
      "description": "Dynamic dataset additional properties.",
      "properties": {
        "credentialsId": {
          "default": null,
          "description": "The ID of the credentials to access the data store.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "credentialsId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the dataset definition.",
      "type": "string"
    },
    "name": {
      "description": "The name of the dataset definition.",
      "type": "string"
    }
  },
  "required": [
    "creatorUserId",
    "datasetInfo",
    "datasetProps",
    "dynamicDatasetProps",
    "id",
    "name"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | none | DatasetDefResponse |

## Analyze a dataset definition by dataset definition ID

Operation path: `POST /api/v2/datasetDefinitions/{datasetDefinitionId}/analyze/`

Authentication requirements: `BearerAuth`

Analyze a dataset definition.

### Body parameter

```
{
  "type": "object"
}
```

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| body | body | Empty | false | none |

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 204 | No Content | none | None |

## Retrieve a list chunk definitions by dataset definition ID

Operation path: `GET /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/`

Authentication requirements: `BearerAuth`

Retrieve a list chunk definitions.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| offset | query | integer | false | This many results will be skipped. |
| limit | query | integer | false | At most this many results are returned. |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |

### Example responses

> 200 Response

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of chunk definitions.",
      "items": {
        "properties": {
          "chunkDefinitionStats": {
            "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
            "properties": {
              "expectedChunkSize": {
                "description": "Expected chunk size. this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "numberOfRowsPerChunk": {
                "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalNumberOfChunks": {
                "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
                "type": "integer"
              }
            },
            "required": [
              "expectedChunkSize",
              "numberOfRowsPerChunk",
              "totalNumberOfChunks"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "chunkingStrategyType": {
            "default": "rows",
            "description": "The partition method.",
            "enum": [
              "features",
              "rows"
            ],
            "type": "string"
          },
          "datasetDefinitionId": {
            "description": "The dataset definition ID the definition belongs.",
            "type": "string"
          },
          "datasetDefinitionInfoVersion": {
            "description": "The version of the dataset definition information.",
            "type": "integer"
          },
          "featuresChunkDefinition": {
            "description": "Feature chunk definition properties.",
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the chunk definition.",
            "type": "string"
          },
          "isReadonly": {
            "default": false,
            "description": "Flag the allows or prevents updates.",
            "type": "boolean"
          },
          "name": {
            "description": "The name of the chunk definition.",
            "type": "string"
          },
          "partitionMethod": {
            "default": "random",
            "description": "The partition method.",
            "enum": [
              "random",
              "stratified",
              "date"
            ],
            "type": "string"
          },
          "rowsChunkDefinition": {
            "description": "Row chunk definition properties.",
            "properties": {
              "datetimePartitionColumn": {
                "description": "Date partition column name.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "isDescendingOrder": {
                "default": false,
                "description": "The sorting order.",
                "type": "boolean"
              },
              "orderByColumns": {
                "default": [],
                "description": "The list of the sorting column names.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 10,
                "type": "array"
              },
              "otvEarliestTimestamp": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvLatestTimestamp": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvTrainingEndDate": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvValidationDownsamplingPct": {
                "description": "Percent by which to downsample the validation data.",
                "type": [
                  "number",
                  "null"
                ]
              },
              "otvValidationEndDate": {
                "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvValidationStartDate": {
                "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "targetClass": {
                "description": "Target Class.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "targetColumn": {
                "description": "Target column name.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "userGroupColumn": {
                "description": "User group column name.",
                "type": [
                  "string",
                  "null"
                ]
              }
            },
            "required": [
              "datetimePartitionColumn",
              "isDescendingOrder",
              "orderByColumns",
              "otvEarliestTimestamp",
              "otvLatestTimestamp",
              "otvTrainingEndDate",
              "otvValidationDownsamplingPct",
              "otvValidationEndDate",
              "otvValidationStartDate",
              "targetClass",
              "targetColumn",
              "userGroupColumn"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          }
        },
        "required": [
          "chunkDefinitionStats",
          "chunkingStrategyType",
          "datasetDefinitionId",
          "datasetDefinitionInfoVersion",
          "featuresChunkDefinition",
          "id",
          "isReadonly",
          "name",
          "partitionMethod",
          "rowsChunkDefinition"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | none | ChunkDefinitionPaginatedResponse |

## Create a chunk definition based by dataset definition ID

Operation path: `POST /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/`

Authentication requirements: `BearerAuth`

Create a chunk definition.

### Body parameter

```
{
  "discriminator": {
    "propertyName": "partitionMethod"
  },
  "oneOf": [
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "random"
          ],
          "type": "string"
        }
      },
      "required": [
        "partitionMethod"
      ],
      "type": "object"
    },
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "stratified"
          ],
          "type": "string"
        },
        "targetClass": {
          "description": "Target Class.",
          "type": "string"
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": "string"
        }
      },
      "required": [
        "partitionMethod",
        "targetClass",
        "targetColumn"
      ],
      "type": "object"
    },
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "date"
          ],
          "type": "string"
        }
      },
      "required": [
        "datetimePartitionColumn",
        "partitionMethod"
      ],
      "type": "object"
    }
  ],
  "x-versionadded": "v2.37"
}
```

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| body | body | ChunkDefinitionCreate | false | none |

### Example responses

> 201 Response

```
{
  "properties": {
    "chunkDefinitionStats": {
      "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
      "properties": {
        "expectedChunkSize": {
          "description": "Expected chunk size. this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "numberOfRowsPerChunk": {
          "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalNumberOfChunks": {
          "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
          "type": "integer"
        }
      },
      "required": [
        "expectedChunkSize",
        "numberOfRowsPerChunk",
        "totalNumberOfChunks"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "chunkingStrategyType": {
      "default": "rows",
      "description": "The partition method.",
      "enum": [
        "features",
        "rows"
      ],
      "type": "string"
    },
    "datasetDefinitionId": {
      "description": "The dataset definition ID the definition belongs.",
      "type": "string"
    },
    "datasetDefinitionInfoVersion": {
      "description": "The version of the dataset definition information.",
      "type": "integer"
    },
    "featuresChunkDefinition": {
      "description": "Feature chunk definition properties.",
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the chunk definition.",
      "type": "string"
    },
    "isReadonly": {
      "default": false,
      "description": "Flag the allows or prevents updates.",
      "type": "boolean"
    },
    "name": {
      "description": "The name of the chunk definition.",
      "type": "string"
    },
    "partitionMethod": {
      "default": "random",
      "description": "The partition method.",
      "enum": [
        "random",
        "stratified",
        "date"
      ],
      "type": "string"
    },
    "rowsChunkDefinition": {
      "description": "Row chunk definition properties.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvEarliestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvLatestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationDownsamplingPct": {
          "description": "Percent by which to downsample the validation data.",
          "type": [
            "number",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "targetClass": {
          "description": "Target Class.",
          "type": [
            "string",
            "null"
          ]
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "datetimePartitionColumn",
        "isDescendingOrder",
        "orderByColumns",
        "otvEarliestTimestamp",
        "otvLatestTimestamp",
        "otvTrainingEndDate",
        "otvValidationDownsamplingPct",
        "otvValidationEndDate",
        "otvValidationStartDate",
        "targetClass",
        "targetColumn",
        "userGroupColumn"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "chunkDefinitionStats",
    "chunkingStrategyType",
    "datasetDefinitionId",
    "datasetDefinitionInfoVersion",
    "featuresChunkDefinition",
    "id",
    "isReadonly",
    "name",
    "partitionMethod",
    "rowsChunkDefinition"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 201 | Created | Chunk definition created successfully. | ChunkDefinitionResponse |

## Soft delete a chunk definition based by dataset definition ID

Operation path: `DELETE /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/{chunkDefinitionId}/`

Authentication requirements: `BearerAuth`

Soft delete a chunk definition.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| chunkDefinitionId | path | string | true | The ID of the chunk definition. |

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 204 | No Content | none | None |

## Retrieve a chunk definition based by dataset definition ID

Operation path: `GET /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/{chunkDefinitionId}/`

Authentication requirements: `BearerAuth`

Retrieve a chunk definition.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| chunkDefinitionId | path | string | true | The ID of the chunk definition. |

### Example responses

> 200 Response

```
{
  "properties": {
    "chunkDefinitionStats": {
      "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
      "properties": {
        "expectedChunkSize": {
          "description": "Expected chunk size. this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "numberOfRowsPerChunk": {
          "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalNumberOfChunks": {
          "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
          "type": "integer"
        }
      },
      "required": [
        "expectedChunkSize",
        "numberOfRowsPerChunk",
        "totalNumberOfChunks"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "chunkingStrategyType": {
      "default": "rows",
      "description": "The partition method.",
      "enum": [
        "features",
        "rows"
      ],
      "type": "string"
    },
    "datasetDefinitionId": {
      "description": "The dataset definition ID the definition belongs.",
      "type": "string"
    },
    "datasetDefinitionInfoVersion": {
      "description": "The version of the dataset definition information.",
      "type": "integer"
    },
    "featuresChunkDefinition": {
      "description": "Feature chunk definition properties.",
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the chunk definition.",
      "type": "string"
    },
    "isReadonly": {
      "default": false,
      "description": "Flag the allows or prevents updates.",
      "type": "boolean"
    },
    "name": {
      "description": "The name of the chunk definition.",
      "type": "string"
    },
    "partitionMethod": {
      "default": "random",
      "description": "The partition method.",
      "enum": [
        "random",
        "stratified",
        "date"
      ],
      "type": "string"
    },
    "rowsChunkDefinition": {
      "description": "Row chunk definition properties.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvEarliestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvLatestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationDownsamplingPct": {
          "description": "Percent by which to downsample the validation data.",
          "type": [
            "number",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "targetClass": {
          "description": "Target Class.",
          "type": [
            "string",
            "null"
          ]
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "datetimePartitionColumn",
        "isDescendingOrder",
        "orderByColumns",
        "otvEarliestTimestamp",
        "otvLatestTimestamp",
        "otvTrainingEndDate",
        "otvValidationDownsamplingPct",
        "otvValidationEndDate",
        "otvValidationStartDate",
        "targetClass",
        "targetColumn",
        "userGroupColumn"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "chunkDefinitionStats",
    "chunkingStrategyType",
    "datasetDefinitionId",
    "datasetDefinitionInfoVersion",
    "featuresChunkDefinition",
    "id",
    "isReadonly",
    "name",
    "partitionMethod",
    "rowsChunkDefinition"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | none | ChunkDefinitionResponse |

## Update a chunk definition based by dataset definition ID

Operation path: `PATCH /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/{chunkDefinitionId}/`

Authentication requirements: `BearerAuth`

Update a chunk definition.

### Body parameter

```
{
  "properties": {
    "operations": {
      "description": "Operations to perform on the update chunk definition.",
      "properties": {
        "forceUpdate": {
          "default": false,
          "description": "Force update the chunk definition. If set to true, the analysis will be reset.",
          "type": "boolean"
        }
      },
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "updates": {
      "description": "Fields to be updated in the chunk definition.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": "string"
        },
        "isDescendingOrder": {
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": "string"
        },
        "orderByColumns": {
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "targetClass": {
          "description": "Target Class.",
          "type": "string"
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": "string"
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": "string"
        }
      },
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "updates"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| chunkDefinitionId | path | string | true | The ID of the chunk definition. |
| body | body | ChunkDefinitionRowsUpdate | false | none |

### Example responses

> 200 Response

```
{
  "properties": {
    "chunkDefinitionStats": {
      "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
      "properties": {
        "expectedChunkSize": {
          "description": "Expected chunk size. this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "numberOfRowsPerChunk": {
          "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalNumberOfChunks": {
          "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
          "type": "integer"
        }
      },
      "required": [
        "expectedChunkSize",
        "numberOfRowsPerChunk",
        "totalNumberOfChunks"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "chunkingStrategyType": {
      "default": "rows",
      "description": "The partition method.",
      "enum": [
        "features",
        "rows"
      ],
      "type": "string"
    },
    "datasetDefinitionId": {
      "description": "The dataset definition ID the definition belongs.",
      "type": "string"
    },
    "datasetDefinitionInfoVersion": {
      "description": "The version of the dataset definition information.",
      "type": "integer"
    },
    "featuresChunkDefinition": {
      "description": "Feature chunk definition properties.",
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the chunk definition.",
      "type": "string"
    },
    "isReadonly": {
      "default": false,
      "description": "Flag the allows or prevents updates.",
      "type": "boolean"
    },
    "name": {
      "description": "The name of the chunk definition.",
      "type": "string"
    },
    "partitionMethod": {
      "default": "random",
      "description": "The partition method.",
      "enum": [
        "random",
        "stratified",
        "date"
      ],
      "type": "string"
    },
    "rowsChunkDefinition": {
      "description": "Row chunk definition properties.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvEarliestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvLatestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationDownsamplingPct": {
          "description": "Percent by which to downsample the validation data.",
          "type": [
            "number",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "targetClass": {
          "description": "Target Class.",
          "type": [
            "string",
            "null"
          ]
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "datetimePartitionColumn",
        "isDescendingOrder",
        "orderByColumns",
        "otvEarliestTimestamp",
        "otvLatestTimestamp",
        "otvTrainingEndDate",
        "otvValidationDownsamplingPct",
        "otvValidationEndDate",
        "otvValidationStartDate",
        "targetClass",
        "targetColumn",
        "userGroupColumn"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "chunkDefinitionStats",
    "chunkingStrategyType",
    "datasetDefinitionId",
    "datasetDefinitionInfoVersion",
    "featuresChunkDefinition",
    "id",
    "isReadonly",
    "name",
    "partitionMethod",
    "rowsChunkDefinition"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | Chunk definition updated successfully. | ChunkDefinitionResponse |

## Analyze a chunk definition by dataset definition ID

Operation path: `POST /api/v2/datasetDefinitions/{datasetDefinitionId}/chunkDefinitions/{chunkDefinitionId}/analyze/`

Authentication requirements: `BearerAuth`

Analyze a chunk definition.

### Body parameter

```
{
  "type": "object"
}
```

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |
| chunkDefinitionId | path | string | true | The ID of the chunk definition. |
| body | body | Empty | false | none |

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 204 | No Content | none | None |

## List all dataset definition versions by dataset definition ID

Operation path: `GET /api/v2/datasetDefinitions/{datasetDefinitionId}/versions/`

Authentication requirements: `BearerAuth`

List all dataset definition versions.

### Parameters

| Name | In | Type | Required | Description |
| --- | --- | --- | --- | --- |
| offset | query | integer | false | This many results will be skipped. |
| limit | query | integer | false | At most this many results are returned. |
| datasetDefinitionId | path | string | true | The ID of the dataset definition. |

### Example responses

> 200 Response

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of the dataset definition versions.",
      "items": {
        "properties": {
          "datasetInfo": {
            "description": "Information about the dataset.",
            "properties": {
              "columns": {
                "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 1000,
                "minItems": 2,
                "type": "array"
              },
              "dataSourceId": {
                "default": null,
                "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dataStoreId": {
                "default": null,
                "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dialect": {
                "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
                "enum": [
                  "snowflake",
                  "bigquery",
                  "databricks",
                  "spark",
                  "postgres"
                ],
                "type": "string"
              },
              "estimatedSizePerRow": {
                "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "sourceSize": {
                "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalRows": {
                "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "version": {
                "description": "The version of the dataset definition information.",
                "type": "integer"
              }
            },
            "required": [
              "columns",
              "dataSourceId",
              "dataStoreId",
              "dialect",
              "estimatedSizePerRow",
              "sourceSize",
              "totalRows",
              "version"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the dataset definition version.",
            "type": "string"
          }
        },
        "required": [
          "datasetInfo",
          "id"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Responses

| Status | Meaning | Description | Schema |
| --- | --- | --- | --- |
| 200 | OK | none | DatasetDefVersionPaginatedResponse |

# Schemas

## ChunkDefinitionCreate

```
{
  "discriminator": {
    "propertyName": "partitionMethod"
  },
  "oneOf": [
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "random"
          ],
          "type": "string"
        }
      },
      "required": [
        "partitionMethod"
      ],
      "type": "object"
    },
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "stratified"
          ],
          "type": "string"
        },
        "targetClass": {
          "description": "Target Class.",
          "type": "string"
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": "string"
        }
      },
      "required": [
        "partitionMethod",
        "targetClass",
        "targetColumn"
      ],
      "type": "object"
    },
    {
      "properties": {
        "chunkingStrategyType": {
          "default": "rows",
          "description": "The partition method.",
          "enum": [
            "features",
            "rows"
          ],
          "type": "string"
        },
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": "string"
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": [
            "string",
            "null"
          ]
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "partitionMethod": {
          "description": "The partition method.",
          "enum": [
            "date"
          ],
          "type": "string"
        }
      },
      "required": [
        "datetimePartitionColumn",
        "partitionMethod"
      ],
      "type": "object"
    }
  ],
  "x-versionadded": "v2.37"
}
```

### Properties

oneOf

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| anonymous | object | false |  | none |
| » chunkingStrategyType | string | false |  | The partition method. |
| » isDescendingOrder | boolean | false |  | The sorting order. |
| » name | string,null | false |  | The name of the chunk definition. |
| » orderByColumns | [string] | false | maxItems: 10 | The list of the sorting column names. |
| » partitionMethod | string | true |  | The partition method. |

xor

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| anonymous | object | false |  | none |
| » chunkingStrategyType | string | false |  | The partition method. |
| » isDescendingOrder | boolean | false |  | The sorting order. |
| » name | string,null | false |  | The name of the chunk definition. |
| » orderByColumns | [string] | false | maxItems: 10 | The list of the sorting column names. |
| » partitionMethod | string | true |  | The partition method. |
| » targetClass | string | true |  | Target Class. |
| » targetColumn | string | true |  | Target column name. |

xor

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| anonymous | object | false |  | none |
| » chunkingStrategyType | string | false |  | The partition method. |
| » datetimePartitionColumn | string | true |  | Date partition column name. |
| » isDescendingOrder | boolean | false |  | The sorting order. |
| » name | string,null | false |  | The name of the chunk definition. |
| » orderByColumns | [string] | false | maxItems: 10 | The list of the sorting column names. |
| » otvTrainingEndDate | string,null(date-time) | false |  | The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| » otvValidationEndDate | string,null(date-time) | false |  | The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| » otvValidationStartDate | string,null(date-time) | false |  | The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationStartDate, one must specify ValidationEndDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| » partitionMethod | string | true |  | The partition method. |

### Enumerated Values

| Property | Value |
| --- | --- |
| chunkingStrategyType | [features, rows] |
| partitionMethod | random |
| chunkingStrategyType | [features, rows] |
| partitionMethod | stratified |
| chunkingStrategyType | [features, rows] |
| partitionMethod | date |

## ChunkDefinitionPaginatedResponse

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of chunk definitions.",
      "items": {
        "properties": {
          "chunkDefinitionStats": {
            "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
            "properties": {
              "expectedChunkSize": {
                "description": "Expected chunk size. this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "numberOfRowsPerChunk": {
                "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalNumberOfChunks": {
                "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
                "type": "integer"
              }
            },
            "required": [
              "expectedChunkSize",
              "numberOfRowsPerChunk",
              "totalNumberOfChunks"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "chunkingStrategyType": {
            "default": "rows",
            "description": "The partition method.",
            "enum": [
              "features",
              "rows"
            ],
            "type": "string"
          },
          "datasetDefinitionId": {
            "description": "The dataset definition ID the definition belongs.",
            "type": "string"
          },
          "datasetDefinitionInfoVersion": {
            "description": "The version of the dataset definition information.",
            "type": "integer"
          },
          "featuresChunkDefinition": {
            "description": "Feature chunk definition properties.",
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the chunk definition.",
            "type": "string"
          },
          "isReadonly": {
            "default": false,
            "description": "Flag the allows or prevents updates.",
            "type": "boolean"
          },
          "name": {
            "description": "The name of the chunk definition.",
            "type": "string"
          },
          "partitionMethod": {
            "default": "random",
            "description": "The partition method.",
            "enum": [
              "random",
              "stratified",
              "date"
            ],
            "type": "string"
          },
          "rowsChunkDefinition": {
            "description": "Row chunk definition properties.",
            "properties": {
              "datetimePartitionColumn": {
                "description": "Date partition column name.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "isDescendingOrder": {
                "default": false,
                "description": "The sorting order.",
                "type": "boolean"
              },
              "orderByColumns": {
                "default": [],
                "description": "The list of the sorting column names.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 10,
                "type": "array"
              },
              "otvEarliestTimestamp": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvLatestTimestamp": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvTrainingEndDate": {
                "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvValidationDownsamplingPct": {
                "description": "Percent by which to downsample the validation data.",
                "type": [
                  "number",
                  "null"
                ]
              },
              "otvValidationEndDate": {
                "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "otvValidationStartDate": {
                "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
                "format": "date-time",
                "type": [
                  "string",
                  "null"
                ]
              },
              "targetClass": {
                "description": "Target Class.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "targetColumn": {
                "description": "Target column name.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "userGroupColumn": {
                "description": "User group column name.",
                "type": [
                  "string",
                  "null"
                ]
              }
            },
            "required": [
              "datetimePartitionColumn",
              "isDescendingOrder",
              "orderByColumns",
              "otvEarliestTimestamp",
              "otvLatestTimestamp",
              "otvTrainingEndDate",
              "otvValidationDownsamplingPct",
              "otvValidationEndDate",
              "otvValidationStartDate",
              "targetClass",
              "targetColumn",
              "userGroupColumn"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          }
        },
        "required": [
          "chunkDefinitionStats",
          "chunkingStrategyType",
          "datasetDefinitionId",
          "datasetDefinitionInfoVersion",
          "featuresChunkDefinition",
          "id",
          "isReadonly",
          "name",
          "partitionMethod",
          "rowsChunkDefinition"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| count | integer | false |  | The number of items returned on this page. |
| data | [ChunkDefinitionResponse] | true | maxItems: 100 | The list of chunk definitions. |
| next | string,null(uri) | true |  | The URL of the next page (if null, there is no next page). |
| previous | string,null(uri) | true |  | The URL of the previous page (if null, there is no previous page). |
| totalCount | integer | true |  | The total number of items across all pages. |

## ChunkDefinitionResponse

```
{
  "properties": {
    "chunkDefinitionStats": {
      "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
      "properties": {
        "expectedChunkSize": {
          "description": "Expected chunk size. this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "numberOfRowsPerChunk": {
          "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalNumberOfChunks": {
          "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
          "type": "integer"
        }
      },
      "required": [
        "expectedChunkSize",
        "numberOfRowsPerChunk",
        "totalNumberOfChunks"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "chunkingStrategyType": {
      "default": "rows",
      "description": "The partition method.",
      "enum": [
        "features",
        "rows"
      ],
      "type": "string"
    },
    "datasetDefinitionId": {
      "description": "The dataset definition ID the definition belongs.",
      "type": "string"
    },
    "datasetDefinitionInfoVersion": {
      "description": "The version of the dataset definition information.",
      "type": "integer"
    },
    "featuresChunkDefinition": {
      "description": "Feature chunk definition properties.",
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the chunk definition.",
      "type": "string"
    },
    "isReadonly": {
      "default": false,
      "description": "Flag the allows or prevents updates.",
      "type": "boolean"
    },
    "name": {
      "description": "The name of the chunk definition.",
      "type": "string"
    },
    "partitionMethod": {
      "default": "random",
      "description": "The partition method.",
      "enum": [
        "random",
        "stratified",
        "date"
      ],
      "type": "string"
    },
    "rowsChunkDefinition": {
      "description": "Row chunk definition properties.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "isDescendingOrder": {
          "default": false,
          "description": "The sorting order.",
          "type": "boolean"
        },
        "orderByColumns": {
          "default": [],
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvEarliestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvLatestTimestamp": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationDownsamplingPct": {
          "description": "Percent by which to downsample the validation data.",
          "type": [
            "number",
            "null"
          ]
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": [
            "string",
            "null"
          ]
        },
        "targetClass": {
          "description": "Target Class.",
          "type": [
            "string",
            "null"
          ]
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": [
            "string",
            "null"
          ]
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "datetimePartitionColumn",
        "isDescendingOrder",
        "orderByColumns",
        "otvEarliestTimestamp",
        "otvLatestTimestamp",
        "otvTrainingEndDate",
        "otvValidationDownsamplingPct",
        "otvValidationEndDate",
        "otvValidationStartDate",
        "targetClass",
        "targetColumn",
        "userGroupColumn"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "chunkDefinitionStats",
    "chunkingStrategyType",
    "datasetDefinitionId",
    "datasetDefinitionInfoVersion",
    "featuresChunkDefinition",
    "id",
    "isReadonly",
    "name",
    "partitionMethod",
    "rowsChunkDefinition"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| chunkDefinitionStats | ChunkDefinitionStatsResponse | true |  | Chunk definition stats. This field is auto-generated by the analysis job. |
| chunkingStrategyType | string | true |  | The partition method. |
| datasetDefinitionId | string | true |  | The dataset definition ID the definition belongs. |
| datasetDefinitionInfoVersion | integer | true |  | The version of the dataset definition information. |
| featuresChunkDefinition | FeaturesChunkDefinitionResponse | true |  | Feature chunk definition properties. |
| id | string | true |  | The ID of the chunk definition. |
| isReadonly | boolean | true |  | Flag the allows or prevents updates. |
| name | string | true |  | The name of the chunk definition. |
| partitionMethod | string | true |  | The partition method. |
| rowsChunkDefinition | RowsChunkDefinitionResponse | true |  | Row chunk definition properties. |

### Enumerated Values

| Property | Value |
| --- | --- |
| chunkingStrategyType | [features, rows] |
| partitionMethod | [random, stratified, date] |

## ChunkDefinitionRowsUpdate

```
{
  "properties": {
    "operations": {
      "description": "Operations to perform on the update chunk definition.",
      "properties": {
        "forceUpdate": {
          "default": false,
          "description": "Force update the chunk definition. If set to true, the analysis will be reset.",
          "type": "boolean"
        }
      },
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "updates": {
      "description": "Fields to be updated in the chunk definition.",
      "properties": {
        "datetimePartitionColumn": {
          "description": "Date partition column name.",
          "type": "string"
        },
        "isDescendingOrder": {
          "description": "The sorting order.",
          "type": "boolean"
        },
        "name": {
          "description": "The name of the chunk definition.",
          "type": "string"
        },
        "orderByColumns": {
          "description": "The list of the sorting column names.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 10,
          "type": "array"
        },
        "otvTrainingEndDate": {
          "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "otvValidationEndDate": {
          "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "otvValidationStartDate": {
          "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
          "format": "date-time",
          "type": "string"
        },
        "targetClass": {
          "description": "Target Class.",
          "type": "string"
        },
        "targetColumn": {
          "description": "Target column name.",
          "type": "string"
        },
        "userGroupColumn": {
          "description": "User group column name.",
          "type": "string"
        }
      },
      "type": "object",
      "x-versionadded": "v2.37"
    }
  },
  "required": [
    "updates"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| operations | ChunkDefinitionUpdateOperation | false |  | Operations to perform on the update chunk definition. |
| updates | ChunkDefinitionRowsUpdateFields | true |  | Fields to be updated in the chunk definition. |

## ChunkDefinitionRowsUpdateFields

```
{
  "description": "Fields to be updated in the chunk definition.",
  "properties": {
    "datetimePartitionColumn": {
      "description": "Date partition column name.",
      "type": "string"
    },
    "isDescendingOrder": {
      "description": "The sorting order.",
      "type": "boolean"
    },
    "name": {
      "description": "The name of the chunk definition.",
      "type": "string"
    },
    "orderByColumns": {
      "description": "The list of the sorting column names.",
      "items": {
        "description": "Dataset column name.",
        "type": "string"
      },
      "maxItems": 10,
      "type": "array"
    },
    "otvTrainingEndDate": {
      "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": "string"
    },
    "otvValidationEndDate": {
      "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": "string"
    },
    "otvValidationStartDate": {
      "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": "string"
    },
    "targetClass": {
      "description": "Target Class.",
      "type": "string"
    },
    "targetColumn": {
      "description": "Target column name.",
      "type": "string"
    },
    "userGroupColumn": {
      "description": "User group column name.",
      "type": "string"
    }
  },
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Fields to be updated in the chunk definition.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| datetimePartitionColumn | string | false |  | Date partition column name. |
| isDescendingOrder | boolean | false |  | The sorting order. |
| name | string | false |  | The name of the chunk definition. |
| orderByColumns | [string] | false | maxItems: 10 | The list of the sorting column names. |
| otvTrainingEndDate | string(date-time) | false |  | The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvValidationEndDate | string(date-time) | false |  | The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvValidationStartDate | string(date-time) | false |  | The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationStartDate, one must specify ValidationEndDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| targetClass | string | false |  | Target Class. |
| targetColumn | string | false |  | Target column name. |
| userGroupColumn | string | false |  | User group column name. |

## ChunkDefinitionStatsResponse

```
{
  "description": "Chunk definition stats. This field is auto-generated by the analysis job.",
  "properties": {
    "expectedChunkSize": {
      "description": "Expected chunk size. this field is auto-generated by the analysis job.",
      "type": "integer"
    },
    "numberOfRowsPerChunk": {
      "description": "Number of rows per chunk. This field is auto-generated by the analysis job.",
      "type": "integer"
    },
    "totalNumberOfChunks": {
      "description": "Total rows of the chunks. This field is auto-generated by the analysis job.",
      "type": "integer"
    }
  },
  "required": [
    "expectedChunkSize",
    "numberOfRowsPerChunk",
    "totalNumberOfChunks"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Chunk definition stats. This field is auto-generated by the analysis job.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| expectedChunkSize | integer | true |  | Expected chunk size. this field is auto-generated by the analysis job. |
| numberOfRowsPerChunk | integer | true |  | Number of rows per chunk. This field is auto-generated by the analysis job. |
| totalNumberOfChunks | integer | true |  | Total rows of the chunks. This field is auto-generated by the analysis job. |

## ChunkDefinitionUpdateOperation

```
{
  "description": "Operations to perform on the update chunk definition.",
  "properties": {
    "forceUpdate": {
      "default": false,
      "description": "Force update the chunk definition. If set to true, the analysis will be reset.",
      "type": "boolean"
    }
  },
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Operations to perform on the update chunk definition.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| forceUpdate | boolean | false |  | Force update the chunk definition. If set to true, the analysis will be reset. |

## DatasetDefCreate

```
{
  "properties": {
    "credentialsId": {
      "description": "The ID of the credentials to access the data store.",
      "type": "string"
    },
    "datasetId": {
      "description": "The ID of the AI Catalog dataset.",
      "type": "string"
    },
    "datasetVersionId": {
      "default": null,
      "description": "The version ID of the AI Catalog dataset.",
      "type": [
        "string",
        "null"
      ]
    },
    "name": {
      "default": null,
      "description": "The name of the dataset definition.",
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "datasetId"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| credentialsId | string | false |  | The ID of the credentials to access the data store. |
| datasetId | string | true |  | The ID of the AI Catalog dataset. |
| datasetVersionId | string,null | false |  | The version ID of the AI Catalog dataset. |
| name | string,null | false |  | The name of the dataset definition. |

## DatasetDefPaginatedResponse

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of user-defined dataset definitions.",
      "items": {
        "properties": {
          "creatorUserId": {
            "description": "The ID of the user who created the dataset definition.",
            "type": "string"
          },
          "datasetInfo": {
            "description": "Information about the dataset.",
            "properties": {
              "columns": {
                "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 1000,
                "minItems": 2,
                "type": "array"
              },
              "dataSourceId": {
                "default": null,
                "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dataStoreId": {
                "default": null,
                "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dialect": {
                "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
                "enum": [
                  "snowflake",
                  "bigquery",
                  "databricks",
                  "spark",
                  "postgres"
                ],
                "type": "string"
              },
              "estimatedSizePerRow": {
                "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "sourceSize": {
                "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalRows": {
                "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "version": {
                "description": "The version of the dataset definition information.",
                "type": "integer"
              }
            },
            "required": [
              "columns",
              "dataSourceId",
              "dataStoreId",
              "dialect",
              "estimatedSizePerRow",
              "sourceSize",
              "totalRows",
              "version"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "datasetProps": {
            "description": "Dataset properties.",
            "properties": {
              "datasetId": {
                "description": "The ID of the AI Catalog dataset.",
                "type": "string"
              },
              "datasetVersionId": {
                "description": "The version ID of the AI Catalog dataset.",
                "type": "string"
              }
            },
            "required": [
              "datasetId",
              "datasetVersionId"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "dynamicDatasetProps": {
            "description": "Dynamic dataset additional properties.",
            "properties": {
              "credentialsId": {
                "default": null,
                "description": "The ID of the credentials to access the data store.",
                "type": [
                  "string",
                  "null"
                ]
              }
            },
            "required": [
              "credentialsId"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the dataset definition.",
            "type": "string"
          },
          "name": {
            "description": "The name of the dataset definition.",
            "type": "string"
          }
        },
        "required": [
          "creatorUserId",
          "datasetInfo",
          "datasetProps",
          "dynamicDatasetProps",
          "id",
          "name"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| count | integer | false |  | The number of items returned on this page. |
| data | [DatasetDefResponse] | true | maxItems: 100 | The list of user-defined dataset definitions. |
| next | string,null(uri) | true |  | The URL of the next page (if null, there is no next page). |
| previous | string,null(uri) | true |  | The URL of the previous page (if null, there is no previous page). |
| totalCount | integer | true |  | The total number of items across all pages. |

## DatasetDefResponse

```
{
  "properties": {
    "creatorUserId": {
      "description": "The ID of the user who created the dataset definition.",
      "type": "string"
    },
    "datasetInfo": {
      "description": "Information about the dataset.",
      "properties": {
        "columns": {
          "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 1000,
          "minItems": 2,
          "type": "array"
        },
        "dataSourceId": {
          "default": null,
          "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dataStoreId": {
          "default": null,
          "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dialect": {
          "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
          "enum": [
            "snowflake",
            "bigquery",
            "databricks",
            "spark",
            "postgres"
          ],
          "type": "string"
        },
        "estimatedSizePerRow": {
          "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "sourceSize": {
          "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalRows": {
          "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "version": {
          "description": "The version of the dataset definition information.",
          "type": "integer"
        }
      },
      "required": [
        "columns",
        "dataSourceId",
        "dataStoreId",
        "dialect",
        "estimatedSizePerRow",
        "sourceSize",
        "totalRows",
        "version"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "datasetProps": {
      "description": "Dataset properties.",
      "properties": {
        "datasetId": {
          "description": "The ID of the AI Catalog dataset.",
          "type": "string"
        },
        "datasetVersionId": {
          "description": "The version ID of the AI Catalog dataset.",
          "type": "string"
        }
      },
      "required": [
        "datasetId",
        "datasetVersionId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "dynamicDatasetProps": {
      "description": "Dynamic dataset additional properties.",
      "properties": {
        "credentialsId": {
          "default": null,
          "description": "The ID of the credentials to access the data store.",
          "type": [
            "string",
            "null"
          ]
        }
      },
      "required": [
        "credentialsId"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the dataset definition.",
      "type": "string"
    },
    "name": {
      "description": "The name of the dataset definition.",
      "type": "string"
    }
  },
  "required": [
    "creatorUserId",
    "datasetInfo",
    "datasetProps",
    "dynamicDatasetProps",
    "id",
    "name"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| creatorUserId | string | true |  | The ID of the user who created the dataset definition. |
| datasetInfo | DatasetInformationResponse | true |  | Information about the dataset. |
| datasetProps | DatasetPropsResponse | true |  | Dataset properties. |
| dynamicDatasetProps | DynamicDatasetPropsResponse | true |  | Dynamic dataset additional properties. |
| id | string | true |  | The ID of the dataset definition. |
| name | string | true |  | The name of the dataset definition. |

## DatasetDefVersionPaginatedResponse

```
{
  "properties": {
    "count": {
      "description": "The number of items returned on this page.",
      "type": "integer"
    },
    "data": {
      "description": "The list of the dataset definition versions.",
      "items": {
        "properties": {
          "datasetInfo": {
            "description": "Information about the dataset.",
            "properties": {
              "columns": {
                "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
                "items": {
                  "description": "Dataset column name.",
                  "type": "string"
                },
                "maxItems": 1000,
                "minItems": 2,
                "type": "array"
              },
              "dataSourceId": {
                "default": null,
                "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dataStoreId": {
                "default": null,
                "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
                "type": [
                  "string",
                  "null"
                ]
              },
              "dialect": {
                "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
                "enum": [
                  "snowflake",
                  "bigquery",
                  "databricks",
                  "spark",
                  "postgres"
                ],
                "type": "string"
              },
              "estimatedSizePerRow": {
                "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "sourceSize": {
                "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "totalRows": {
                "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
                "type": "integer"
              },
              "version": {
                "description": "The version of the dataset definition information.",
                "type": "integer"
              }
            },
            "required": [
              "columns",
              "dataSourceId",
              "dataStoreId",
              "dialect",
              "estimatedSizePerRow",
              "sourceSize",
              "totalRows",
              "version"
            ],
            "type": "object",
            "x-versionadded": "v2.37"
          },
          "id": {
            "description": "The ID of the dataset definition version.",
            "type": "string"
          }
        },
        "required": [
          "datasetInfo",
          "id"
        ],
        "type": "object",
        "x-versionadded": "v2.37"
      },
      "maxItems": 100,
      "type": "array"
    },
    "next": {
      "description": "The URL of the next page (if null, there is no next page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "previous": {
      "description": "The URL of the previous page (if null, there is no previous page).",
      "format": "uri",
      "type": [
        "string",
        "null"
      ]
    },
    "totalCount": {
      "description": "The total number of items across all pages.",
      "type": "integer"
    }
  },
  "required": [
    "data",
    "next",
    "previous",
    "totalCount"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| count | integer | false |  | The number of items returned on this page. |
| data | [DatasetDefVersionResponse] | true | maxItems: 100 | The list of the dataset definition versions. |
| next | string,null(uri) | true |  | The URL of the next page (if null, there is no next page). |
| previous | string,null(uri) | true |  | The URL of the previous page (if null, there is no previous page). |
| totalCount | integer | true |  | The total number of items across all pages. |

## DatasetDefVersionResponse

```
{
  "properties": {
    "datasetInfo": {
      "description": "Information about the dataset.",
      "properties": {
        "columns": {
          "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
          "items": {
            "description": "Dataset column name.",
            "type": "string"
          },
          "maxItems": 1000,
          "minItems": 2,
          "type": "array"
        },
        "dataSourceId": {
          "default": null,
          "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dataStoreId": {
          "default": null,
          "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
          "type": [
            "string",
            "null"
          ]
        },
        "dialect": {
          "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
          "enum": [
            "snowflake",
            "bigquery",
            "databricks",
            "spark",
            "postgres"
          ],
          "type": "string"
        },
        "estimatedSizePerRow": {
          "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "sourceSize": {
          "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "totalRows": {
          "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
          "type": "integer"
        },
        "version": {
          "description": "The version of the dataset definition information.",
          "type": "integer"
        }
      },
      "required": [
        "columns",
        "dataSourceId",
        "dataStoreId",
        "dialect",
        "estimatedSizePerRow",
        "sourceSize",
        "totalRows",
        "version"
      ],
      "type": "object",
      "x-versionadded": "v2.37"
    },
    "id": {
      "description": "The ID of the dataset definition version.",
      "type": "string"
    }
  },
  "required": [
    "datasetInfo",
    "id"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| datasetInfo | DatasetInformationResponse | true |  | Information about the dataset. |
| id | string | true |  | The ID of the dataset definition version. |

## DatasetInformationResponse

```
{
  "description": "Information about the dataset.",
  "properties": {
    "columns": {
      "description": "The list of the dataset column names. This field is auto-generated by the analysis job.",
      "items": {
        "description": "Dataset column name.",
        "type": "string"
      },
      "maxItems": 1000,
      "minItems": 2,
      "type": "array"
    },
    "dataSourceId": {
      "default": null,
      "description": "The ID of the SQL table query and the database path, this field is auto-generated by the analysis job.",
      "type": [
        "string",
        "null"
      ]
    },
    "dataStoreId": {
      "default": null,
      "description": "The ID of the SQL data store, this field is auto-generated by the analysis job.",
      "type": [
        "string",
        "null"
      ]
    },
    "dialect": {
      "description": "Source type data was retrieved from, this field is auto-generated by the analysis job.",
      "enum": [
        "snowflake",
        "bigquery",
        "databricks",
        "spark",
        "postgres"
      ],
      "type": "string"
    },
    "estimatedSizePerRow": {
      "description": "Estimated byte size per row of the dataset, this field is auto-generated by the analysis job.",
      "type": "integer"
    },
    "sourceSize": {
      "description": "Total dataset byte size, this field is auto-generated by the analysis job.",
      "type": "integer"
    },
    "totalRows": {
      "description": "Total rows of the dataset, this field is auto-generated by the analysis job.",
      "type": "integer"
    },
    "version": {
      "description": "The version of the dataset definition information.",
      "type": "integer"
    }
  },
  "required": [
    "columns",
    "dataSourceId",
    "dataStoreId",
    "dialect",
    "estimatedSizePerRow",
    "sourceSize",
    "totalRows",
    "version"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Information about the dataset.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| columns | [string] | true | maxItems: 1000minItems: 2 | The list of the dataset column names. This field is auto-generated by the analysis job. |
| dataSourceId | string,null | true |  | The ID of the SQL table query and the database path, this field is auto-generated by the analysis job. |
| dataStoreId | string,null | true |  | The ID of the SQL data store, this field is auto-generated by the analysis job. |
| dialect | string | true |  | Source type data was retrieved from, this field is auto-generated by the analysis job. |
| estimatedSizePerRow | integer | true |  | Estimated byte size per row of the dataset, this field is auto-generated by the analysis job. |
| sourceSize | integer | true |  | Total dataset byte size, this field is auto-generated by the analysis job. |
| totalRows | integer | true |  | Total rows of the dataset, this field is auto-generated by the analysis job. |
| version | integer | true |  | The version of the dataset definition information. |

### Enumerated Values

| Property | Value |
| --- | --- |
| dialect | [snowflake, bigquery, databricks, spark, postgres] |

## DatasetPropsResponse

```
{
  "description": "Dataset properties.",
  "properties": {
    "datasetId": {
      "description": "The ID of the AI Catalog dataset.",
      "type": "string"
    },
    "datasetVersionId": {
      "description": "The version ID of the AI Catalog dataset.",
      "type": "string"
    }
  },
  "required": [
    "datasetId",
    "datasetVersionId"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Dataset properties.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| datasetId | string | true |  | The ID of the AI Catalog dataset. |
| datasetVersionId | string | true |  | The version ID of the AI Catalog dataset. |

## DynamicDatasetPropsResponse

```
{
  "description": "Dynamic dataset additional properties.",
  "properties": {
    "credentialsId": {
      "default": null,
      "description": "The ID of the credentials to access the data store.",
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "credentialsId"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Dynamic dataset additional properties.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| credentialsId | string,null | true |  | The ID of the credentials to access the data store. |

## Empty

```
{
  "type": "object"
}
```

### Properties

None

## FeaturesChunkDefinitionResponse

```
{
  "description": "Feature chunk definition properties.",
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Feature chunk definition properties.

### Properties

None

## RowsChunkDefinitionResponse

```
{
  "description": "Row chunk definition properties.",
  "properties": {
    "datetimePartitionColumn": {
      "description": "Date partition column name.",
      "type": [
        "string",
        "null"
      ]
    },
    "isDescendingOrder": {
      "default": false,
      "description": "The sorting order.",
      "type": "boolean"
    },
    "orderByColumns": {
      "default": [],
      "description": "The list of the sorting column names.",
      "items": {
        "description": "Dataset column name.",
        "type": "string"
      },
      "maxItems": 10,
      "type": "array"
    },
    "otvEarliestTimestamp": {
      "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": [
        "string",
        "null"
      ]
    },
    "otvLatestTimestamp": {
      "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": [
        "string",
        "null"
      ]
    },
    "otvTrainingEndDate": {
      "description": "The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": [
        "string",
        "null"
      ]
    },
    "otvValidationDownsamplingPct": {
      "description": "Percent by which to downsample the validation data.",
      "type": [
        "number",
        "null"
      ]
    },
    "otvValidationEndDate": {
      "description": "The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationEndDate`, one must specify `ValidationStartDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": [
        "string",
        "null"
      ]
    },
    "otvValidationStartDate": {
      "description": "The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying `ValidationStartDate`, one must specify `ValidationEndDate`. This attribute cannot be patched for non-OTV incremental learning projects.",
      "format": "date-time",
      "type": [
        "string",
        "null"
      ]
    },
    "targetClass": {
      "description": "Target Class.",
      "type": [
        "string",
        "null"
      ]
    },
    "targetColumn": {
      "description": "Target column name.",
      "type": [
        "string",
        "null"
      ]
    },
    "userGroupColumn": {
      "description": "User group column name.",
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "datetimePartitionColumn",
    "isDescendingOrder",
    "orderByColumns",
    "otvEarliestTimestamp",
    "otvLatestTimestamp",
    "otvTrainingEndDate",
    "otvValidationDownsamplingPct",
    "otvValidationEndDate",
    "otvValidationStartDate",
    "targetClass",
    "targetColumn",
    "userGroupColumn"
  ],
  "type": "object",
  "x-versionadded": "v2.37"
}
```

Row chunk definition properties.

### Properties

| Name | Type | Required | Restrictions | Description |
| --- | --- | --- | --- | --- |
| datetimePartitionColumn | string,null | true |  | Date partition column name. |
| isDescendingOrder | boolean | true |  | The sorting order. |
| orderByColumns | [string] | true | maxItems: 10 | The list of the sorting column names. |
| otvEarliestTimestamp | string,null(date-time) | true |  | The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvLatestTimestamp | string,null(date-time) | true |  | The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvTrainingEndDate | string,null(date-time) | true |  | The end date of training data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvValidationDownsamplingPct | number,null | true |  | Percent by which to downsample the validation data. |
| otvValidationEndDate | string,null(date-time) | true |  | The end date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationEndDate, one must specify ValidationStartDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| otvValidationStartDate | string,null(date-time) | true |  | The start date of validation scoring data in string format. Format can be '%Y-%m-%d %H:%M%S' or '%Y-%m-%d', the timezone defaults to UTC.When specifying ValidationStartDate, one must specify ValidationEndDate. This attribute cannot be patched for non-OTV incremental learning projects. |
| targetClass | string,null | true |  | Target Class. |
| targetColumn | string,null | true |  | Target column name. |
| userGroupColumn | string,null | true |  | User group column name. |

---
