rdblue commented on code in PR #9695:
URL: https://github.com/apache/iceberg/pull/9695#discussion_r1690617398
##########
open-api/rest-catalog-open-api.yaml:
##########
@@ -3647,6 +3818,176 @@ components:
type: integer
description: "List of equality field IDs"
+ PreplanTableRequest:
+ type: object
+ required:
+ - table-scan-context
+ properties:
+ table-scan-context:
+ $ref: '#/components/schemas/TableScanContext'
+
+ PlanTableRequest:
+ type: object
+ required:
+ - table-scan-context
+ properties:
+ table-scan-context:
+ $ref: '#/components/schemas/TableScanContext'
+ plan-task:
+ $ref: '#/components/schemas/PlanTask'
+ stats-fields:
+ description:
+ A list of fields that the client requests the server to send
statistics
+ in each `FileScanTask` returned in the response
+ type: array
+ items:
+ $ref: '#/components/schemas/FieldName'
+
+ TableScanContext:
+ anyOf:
+ - $ref: '#/components/schemas/SnapshotScanContext'
+ - $ref: '#/components/schemas/IncrementalSnapshotScanContext'
+
+ BaseTableScanContext:
+ discriminator:
+ propertyName: type
+ mapping:
+ snapshot-scan: '#/components/schemas/SnapshotScanContext'
+ incremental-snapshot-scan:
'#/components/schemas/IncrementalSnapshotScanContext'
+ type: object
+ required:
+ - type
+ properties:
+ type:
+ type: string
+
+ SnapshotScanContext:
+ description: context for scanning data in a specific snapshot
+ type: object
+ allOf:
+ - $ref: '#/components/schemas/BaseTableScanContext'
+ required:
+ - type
+ properties:
+ type:
+ type: string
+ enum: ["snapshot-scan"]
+ select:
+ $ref: '#/components/schemas/SelectedFieldNames'
+ filter:
+ $ref: '#/components/schemas/Filter'
+ case-sensitive:
+ description: If field selection and filtering should be case
sensitive
+ type: boolean
+ default: true
+ snapshot-id:
+ description:
+ The ID of the snapshot to use for the table scan.
+ If not specified, the snapshot at the main branch head will be
used.
+ type: integer
+ format: int64
+ use-snapshot-schema:
+ description:
+ If the schema of the specific snapshot should be used instead of
the table schema.
+ type: boolean
+ default: false
+
+ IncrementalSnapshotScanContext:
+ description:
+ Context for scanning data appended in a range of snapshots.
+ The scan always follows the schema of the snapshot at the main branch
head.
+ type: object
+ allOf:
+ - $ref: '#/components/schemas/BaseTableScanContext'
+ required:
+ - type
+ - start-snapshot-id
+ properties:
+ type:
+ type: string
+ enum: ["incremental-snapshot-scan"]
+ select:
+ $ref: '#/components/schemas/SelectedFieldNames'
+ filter:
+ $ref: '#/components/schemas/Filter'
+ case-sensitive:
+ description: If field selection and filtering should be case
sensitive
+ type: boolean
+ default: true
+ start-snapshot-id:
+ description: The ID of the starting snapshot of the incremental scan
+ type: integer
+ format: int64
+ inclusive-start:
+ description: If the data appended in the start snapshot should be
included in the scan
+ type: boolean
+ default: false
+ end-snapshot-id:
+ description:
+ The ID of the inclusive ending snapshot of the incremental scan.
+ If not specified, the snapshot at the main branch head will be
used as the end snapshot.
+ type: integer
+ format: int64
+
+ FieldName:
+ description:
+ A field name that follows the Iceberg naming standard, and can be used
in APIs like
+ Java `Schema#findField(String name)`.
+
+ The nested field name follows these rules
+ - nested struct fields are named by concatenating field names at each
struct level using dot (`.`) delimiter,
+ e.g. employer.contact_info.address.zip_code
+ - nested fields in a map key are named using the keyword `key`, e.g.
employee_address_map.key.first_name
+ - nested fields in a map value are named using the keyword `value`,
e.g. employee_address_map.value.zip_code
+ - nested fields in a list are named using the keyword `element`, e.g.
employees.element.first_name
+ type: string
+
+ SelectedFieldNames:
+ description:
+ A list of fields in schema that are selected in a table scan.
+ When not specified, all columns in the requested schema should be
selected.
+ type: array
+ items:
+ $ref: '#/components/schemas/FieldName'
+
+ Filter:
+ description:
+ an unbounded expression to describe the filters to apply to a table
scan,
+ default to `TrueExpression` meaning that nothing is filtered.
+ allOf:
+ - $ref: '#/components/schemas/Expression'
+ default: { "type": "true" }
+
+ PlanTask:
+ description:
+ An opaque JSON object that contains information provided by the REST
server
+ to be utilized by clients for distributed table scan planning; should
be supplied
+ as input in `PlanTable` operation.
+ type: object
Review Comment:
I think that this is very likely to be JSON so it doesn't make much sense to
me to allow a binary blob here. A string might make some sense to avoid needing
to parse the JSON, but my main objection is that it requires the service to
serialize twice. The first time produces a string that is then parsed a second
time.
Using the original `object` type seems better to me, although I do see the
issue for clients. On the client side, I'd probably just map this to generic
`Map`, `List`, `String`, etc. or keep the Jackson representation (`JsonNode`)
in an opaque object that is understood by our parser but doesn't expose the
payload. This solution seems easy enough that I would go with `object` as my
main preference, but if there's consensus around `string` I'm fine with that
too.
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