This commit is contained in:
Lakee Sivaraya
2026-01-16 16:53:10 -08:00
parent ea77790484
commit 292cd39cfb
4 changed files with 355 additions and 1 deletions

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@@ -105,6 +105,7 @@ import {
StagehandIcon,
StripeIcon,
SupabaseIcon,
TableIcon,
TavilyIcon,
TelegramIcon,
TranslateIcon,
@@ -228,6 +229,7 @@ export const blockTypeToIconMap: Record<string, IconComponent> = {
stripe: StripeIcon,
stt: STTIcon,
supabase: SupabaseIcon,
table: TableIcon,
tavily: TavilyIcon,
telegram: TelegramIcon,
translate: TranslateIcon,

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@@ -101,6 +101,7 @@
"stripe",
"stt",
"supabase",
"table",
"tavily",
"telegram",
"translate",

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@@ -0,0 +1,351 @@
---
title: Table
description: User-defined data tables for storing and querying structured data
---
import { BlockInfoCard } from "@/components/ui/block-info-card"
<BlockInfoCard
type="table"
color="#10B981"
/>
Tables allow you to create and manage custom data tables directly within Sim. Store, query, and manipulate structured data within your workflows without needing external database integrations.
**Why Use Tables?**
- **No external setup**: Create tables instantly without configuring external databases
- **Workflow-native**: Data persists across workflow executions and is accessible from any workflow in your workspace
- **Flexible schema**: Define columns with types (string, number, boolean, date, json) and constraints (required, unique)
- **Powerful querying**: Filter, sort, and paginate data using MongoDB-style operators
- **Agent-friendly**: Tables can be used as tools by AI agents for dynamic data storage and retrieval
**Key Features:**
- Create tables with custom schemas
- Insert, update, upsert, and delete rows
- Query with filters and sorting
- Batch operations for bulk inserts
- Bulk updates and deletes by filter
- Up to 10,000 rows per table, 100 tables per workspace
## Creating Tables
Tables are created from the **Tables** section in the sidebar. Each table requires:
- **Name**: Alphanumeric with underscores (e.g., `customer_leads`)
- **Description**: Optional description of the table's purpose
- **Schema**: Define columns with name, type, and optional constraints
### Column Types
| Type | Description | Example Values |
|------|-------------|----------------|
| `string` | Text data | `"John Doe"`, `"active"` |
| `number` | Numeric data | `42`, `99.99` |
| `boolean` | True/false values | `true`, `false` |
| `date` | Date/time values | `"2024-01-15T10:30:00Z"` |
| `json` | Complex nested data | `{"address": {"city": "NYC"}}` |
### Column Constraints
- **Required**: Column must have a value (cannot be null)
- **Unique**: Values must be unique across all rows (enables upsert matching)
## Usage Instructions
Create and manage custom data tables. Store, query, and manipulate structured data within workflows.
## Tools
### `table_query_rows`
Query rows from a table with filtering, sorting, and pagination
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `filter` | object | No | Filter conditions using MongoDB-style operators |
| `sort` | object | No | Sort order as \{column: "asc"\|"desc"\} |
| `limit` | number | No | Maximum rows to return \(default: 100, max: 1000\) |
| `offset` | number | No | Number of rows to skip \(default: 0\) |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether query succeeded |
| `rows` | array | Query result rows |
| `rowCount` | number | Number of rows returned |
| `totalCount` | number | Total rows matching filter |
| `limit` | number | Limit used in query |
| `offset` | number | Offset used in query |
### `table_insert_row`
Insert a new row into a table
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `data` | object | Yes | Row data as JSON object matching the table schema |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether row was inserted |
| `row` | object | Inserted row data including generated ID |
| `message` | string | Status message |
### `table_upsert_row`
Insert or update a row based on unique column constraints. If a row with matching unique field exists, update it; otherwise insert a new row.
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `data` | object | Yes | Row data to insert or update |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether row was upserted |
| `row` | object | Upserted row data |
| `operation` | string | Operation performed: "insert" or "update" |
| `message` | string | Status message |
### `table_batch_insert_rows`
Insert multiple rows at once (up to 1000 rows per batch)
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `rows` | array | Yes | Array of row data objects to insert |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether batch insert succeeded |
| `rows` | array | Array of inserted rows with IDs |
| `insertedCount` | number | Number of rows inserted |
| `message` | string | Status message |
### `table_update_row`
Update a specific row by its ID
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `rowId` | string | Yes | Row ID to update |
| `data` | object | Yes | Data to update \(partial update supported\) |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether row was updated |
| `row` | object | Updated row data |
| `message` | string | Status message |
### `table_update_rows_by_filter`
Update multiple rows matching a filter condition
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `filter` | object | Yes | Filter to match rows for update |
| `data` | object | Yes | Data to apply to matching rows |
| `limit` | number | No | Maximum rows to update \(default: 1000\) |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether update succeeded |
| `updatedCount` | number | Number of rows updated |
| `updatedRowIds` | array | IDs of updated rows |
| `message` | string | Status message |
### `table_delete_row`
Delete a specific row by its ID
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `rowId` | string | Yes | Row ID to delete |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether row was deleted |
| `deletedCount` | number | Number of rows deleted \(1 or 0\) |
| `message` | string | Status message |
### `table_delete_rows_by_filter`
Delete multiple rows matching a filter condition
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `filter` | object | Yes | Filter to match rows for deletion |
| `limit` | number | No | Maximum rows to delete \(default: 1000\) |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether delete succeeded |
| `deletedCount` | number | Number of rows deleted |
| `deletedRowIds` | array | IDs of deleted rows |
| `message` | string | Status message |
### `table_get_row`
Get a single row by its ID
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
| `rowId` | string | Yes | Row ID to retrieve |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether row was found |
| `row` | object | Row data |
| `message` | string | Status message |
### `table_get_schema`
Get the schema definition for a table
#### Input
| Parameter | Type | Required | Description |
| --------- | ---- | -------- | ----------- |
| `tableId` | string | Yes | Table ID |
#### Output
| Parameter | Type | Description |
| --------- | ---- | ----------- |
| `success` | boolean | Whether schema was retrieved |
| `name` | string | Table name |
| `columns` | array | Array of column definitions |
| `message` | string | Status message |
## Filter Operators
Filters use MongoDB-style operators for flexible querying:
| Operator | Description | Example |
|----------|-------------|---------|
| `$eq` | Equals | `{"status": {"$eq": "active"}}` or `{"status": "active"}` |
| `$ne` | Not equals | `{"status": {"$ne": "deleted"}}` |
| `$gt` | Greater than | `{"age": {"$gt": 18}}` |
| `$gte` | Greater than or equal | `{"score": {"$gte": 80}}` |
| `$lt` | Less than | `{"price": {"$lt": 100}}` |
| `$lte` | Less than or equal | `{"quantity": {"$lte": 10}}` |
| `$in` | In array | `{"status": {"$in": ["active", "pending"]}}` |
| `$nin` | Not in array | `{"type": {"$nin": ["spam", "blocked"]}}` |
| `$contains` | String contains | `{"email": {"$contains": "@gmail.com"}}` |
### Combining Filters
Multiple field conditions are combined with AND logic:
```json
{
"status": "active",
"age": {"$gte": 18}
}
```
Use `$or` for OR logic:
```json
{
"$or": [
{"status": "active"},
{"status": "pending"}
]
}
```
## Sort Specification
Specify sort order with column names and direction:
```json
{
"createdAt": "desc"
}
```
Multi-column sorting:
```json
{
"priority": "desc",
"name": "asc"
}
```
## Built-in Columns
Every row automatically includes:
| Column | Type | Description |
|--------|------|-------------|
| `id` | string | Unique row identifier |
| `createdAt` | date | When the row was created |
| `updatedAt` | date | When the row was last modified |
These can be used in filters and sorting.
## Limits
| Resource | Limit |
|----------|-------|
| Tables per workspace | 100 |
| Rows per table | 10,000 |
| Columns per table | 50 |
| Max row size | 100KB |
| String value length | 10,000 characters |
| Query limit | 1,000 rows |
| Batch insert size | 1,000 rows |
| Bulk update/delete | 1,000 rows |
## Notes
- Category: `blocks`
- Type: `table`
- Tables are scoped to workspaces and accessible from any workflow within that workspace
- Data persists across workflow executions
- Use unique constraints to enable upsert functionality
- The visual filter/sort builder provides an easy way to construct queries without writing JSON

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@@ -177,7 +177,7 @@ export const TableBlock: BlockConfig<TableQueryResponse> = {
description: 'User-defined data tables',
longDescription:
'Create and manage custom data tables. Store, query, and manipulate structured data within workflows.',
docsLink: 'https://docs.sim.ai/tools/table',
docsLink: 'https://docs.simstudio.ai/tools/table',
category: 'blocks',
bgColor: '#10B981',
icon: TableIcon,