Table

Works with Flowdrome Tables — the built-in database in the Nucleus: list/query rows (filters, paging, ordering), get one row, insert, update, upsert (match on a column) or delete. Address the table by name; rows carry a generated id + created/updated stamps, and a write hands back the STORED ROW — id, stamps and every column — not just an id. Array-native: a list on the wire is N records, so a row operation runs once per record (Values and Row id resolved against THAT record) and returns one result per record — ten items in, ten rows written. A single object in returns a single result, un-wrapped; an empty list writes nothing and returns an empty list. The list operation is a single query and never fans out.

Finding it in the library

Search the builder's node library for Table (it lives under Storage). A single click opens the in-editor docs panel shown here — description, ports, and every property, without leaving the canvas. Double-click (or drag) to add it to the workflow.

Wired up in the builder

Table in a real, runnable flow — captured live from the Studio editor, exactly as it looks on your canvas. This is the same workflow used for the example input & output below.

How it’s configured

The node’s settings as the builder shows them — every field laid out with real values. In the Studio these are edited on the node: click the chevron on the divider under its ports to open them.

Ports

Ports are the node’s contract with its neighbours. In the editor a port label renders bold when wired and italic when optional; ◈ ports accept attachment carriers rather than data wires.

How data flows through it

Table consumes the content of the incoming envelope — when it is fed directly by a trigger, the trigger’s wrapper is unwrapped at the node boundary so the node sees the actual data, not the metadata shell. Its output becomes the payload for the next node, while the envelope (trace ids, correlation, binary refs) rides along untouched. In the Runs view you always see the whole envelope for both sides of this node.

Expressions in the config

String-typed properties accept {{ }} expressions evaluated against the incoming item at run time — e.g. {{ $json.customer.email }}. On this node that’s table, rowId, matchColumn, orderBy, baseUrl, token. JSON- and code-typed fields never interpolate — they are passed through literally.

Build it with AI

Every node in this reference is reachable through Flowdrome’s AI Copilot and the MCP tools — say what you want, and the graph surgery happens server-side. Node types resolve fuzzily, so the catalog label (Table) works as well as the exact type id (storage.table).

In the Copilot panel (or any connected AI):

add a table node after the trigger

As a step in a create_chain_workflow call:

{"type":"Table","config":{}}

curl -s -X POST http://localhost:4800/mcp -H "content-type: application/json" -d '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "add_node", "arguments": { "workflowId": "<id>", "type": "Table" } } }'

Example input & output

Captured from a real test run of the workflow above — this is what the Runs view shows after pressing Test workflow.

operation: list with an email-contains filter, after an insert + upsert wrote the row

Input — what the node received

Output — what the node produced

{
  "tableId": "tbl_91197742d45f",
  "rows": [
    {
      "email": "linus@kernel.test",
      "score": 100,
      "qualified": true,
      "id": "row_5c5d9310c9be",
      "createdAt": "2026-07-20T03:28:25.024+00:00",
      "updatedAt": "2026-07-20T03:28:25.059+00:00"
    }
  ],
  "count": 1,
  "total": 1,
  "limit": 10,
  "offset": 0
}

Property reference

Every setting, with its type and default — the same fields shown configured above.

Related nodes

The rest of the Storage group — the same folder you’d scan in the editor’s library.

• Read File Reads file content from a configured path or input path
• Global Key / Value Reads, writes, deletes, and atomically increments shared JSON-compatible runtime values
• Memory Read/write durable cross-run memory (append/recall/get/set/clear) via the state engine
• Write File Writes workflow data to a file — pretty JSON, raw text, or decoded base64 bytes — with optional append and par
• SQL Query Runs a SQL query against PostgreSQL or MySQL with real server-side positional parameters ($1…$n / ?) — no stri
• S3 Storage Reads and writes objects in S3-compatible storage (AWS S3, MinIO, R2) with Signature V4: put, get, delete, lis
• Redis Talks to a Redis server over the dependency-free RESP2 wire client: get/set/del/incr/expire, list push/pop, ha
• FTP Lists, downloads, uploads, deletes, or creates directories on an FTP server (optional explicit FTPS via AUTH T

This page is generated from the node registry by gen-node-docs.mjs on every site build — ports, properties, defaults and visibility rules cannot drift from the code. The screenshots and example data are captured from a live Flowdrome by npm run shots:nodes and npm run gen:examples.