# Add Rows To Push Dataset — Microsoft Power BI

> Append rows to a table in a Power BI Push Dataset (streaming / realtime data). Only works for datasets created via the REST API with defaultMode: Push — these datasets expose addRowsAPIEnabled: true on the object returned by List Datasets…

- Key: `microsoft_power_bi-add-rows-to-push-dataset`
- Type: Action (Write)
- Version: 0.0.3
- App: Microsoft Power BI (`microsoft_power_bi`) — https://pipedream.com/apps/microsoft-power-bi.md
- This page (HTML): https://pipedream.com/apps/microsoft-power-bi/actions/add-rows-to-push-dataset
- Hints: open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/microsoft_power_bi/actions/add-rows-to-push-dataset/add-rows-to-push-dataset.mjs

## Description

Append rows to a table in a Power BI Push Dataset (streaming / realtime data). Only works for datasets created via the REST API with `defaultMode: Push` — these datasets expose `addRowsAPIEnabled: true` on the object returned by **List Datasets**. Use **List Datasets** first to resolve a dataset name → `datasetId` and inspect its `tables` for the exact `tableName` (case-sensitive). Pass `workspaceId` (from **List Workspaces**) or `workspaceName` to target a specific workspace, or omit both for My workspace. Rows must match the table's column schema. `rows` accepts either a JSON array (`[{...}, {...}]`) or a JSON-stringified array. Each row is an object of `columnName → value`. Common mistakes: (1) case mismatch on `tableName` returns 404 — copy the exact string from the dataset's `tables` array. (2) Sending values that don't match the declared column data type returns `RequestedResourceNotFound` or `DMTS_DatasourceHasNoCredentialsError`. Push-dataset rows have no individual IDs and cannot be updated or deleted — only appended or bulk-cleared. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows-in-group)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `datasetId` | `string` | Yes | ID of the Push Dataset. Use List Datasets to find IDs — Push Datasets have addRowsAPIEnabled: true. |
| `tableName` | `string` | Yes | Exact (case-sensitive) name of the table within the dataset. Found in the dataset's tables array via List Datasets. Example: Species. |
| `rows` | `string` | Yes | JSON array of row objects matching the table's column schema. Example: [{"id": "sp-100", "name": "Indominus Rex", "dietType": "Carnivore", "heightCm": 550, "weightKg": 7000}]. Accepts a JSON string or a pre-parsed array. |
| `workspaceId` | `string` | No | ID of the workspace. Use the List Workspaces tool to see accessible workspaces. Omit to target My workspace. |
| `workspaceName` | `string` | No | Name of the workspace (alternative to Workspace ID). Use the List Workspaces tool to see accessible workspaces. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "microsoft_power_bi",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "microsoft_power_bi-add-rows-to-push-dataset",
  arguments: {
    datasetId: "Dataset ID",
    tableName: "Table Name",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "microsoft_power_bi-add-rows-to-push-dataset",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    microsoft_power_bi: { authProvisionId: "apn_xxxxxxx" },
    datasetId: "Dataset ID",
    tableName: "Table Name",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "microsoft_power_bi-add-rows-to-push-dataset",
    "configured_props": {
      "microsoft_power_bi": { "authProvisionId": "apn_xxxxxxx" },
      "datasetId": "Dataset ID",
      "tableName": "Table Name"
    }
  }'
```

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- App: https://pipedream.com/apps/microsoft-power-bi.md · All apps: https://pipedream.com/apps