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多维表格 → 批量更新记录
AI-generatedSummary
Updates multiple Feishu Bitable records by sending the configured JSON request body to the selected app and table for each incoming item. You can choose user or app credentials, set an optional idempotency token and consistency-check behavior, and enable concurrent batches with an optional interval.
Inputs
- 凭证类型 — Choose user-level or app-level Feishu credentials; app-level credentials are selected by default.
- 多维表格 App 的唯一标识 (app_toke) (required) — The Bitable app token.
- 多维表格数据表的唯一标识 (table_id) (required) — The table ID, available from the Bitable URL.
- 用户 ID 类型 (user_id_type) — Select open_id, union_id, or user_id; defaults to open_id.
- 操作的唯一标识 (client_toke) — Optional idempotency token for the update request. Leave empty to make a new request; a supplied token makes the update idempotent.
- 是否忽略一致性读写检查 (ignore_consistency_check) — Boolean option that defaults to true and is passed with the request.
- 请求体JSON (body) (required) — JSON request body for the batch update API; defaults to {"records":[]}. Supply the records to update in the format expected by Feishu's batch update endpoint.
- Options → Batching — Adding this option enables concurrent requests, one per incoming item. Items per Batch defaults to 50 (0 is treated as 1); Batch Interval defaults to 1000 ms and is applied between batches when positive.
- Options → Timeout — Request timeout in milliseconds; 0 means no timeout.
Output shape
A single output stream containing the Feishu API response for each input item.
Requests run serially unless Batching is added. With batching enabled they run concurrently and responses are collected in input order. If Continue On Fail is enabled, failed items produce an {"error":"..."} item; otherwise the operation throws on a request error.