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174 lines
6.5 KiB
Markdown
174 lines
6.5 KiB
Markdown
---
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title: "mindsdb-sql"
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type: docs
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weight: 1
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description: >
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A "mindsdb-sql" tool executes a pre-defined SQL statement against a MindsDB
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federated database.
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aliases:
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- /resources/tools/mindsdb-sql
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---
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## About
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A `mindsdb-sql` tool executes a pre-defined SQL statement against a MindsDB
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federated database. It's compatible with any of the following sources:
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- [mindsdb](../../sources/mindsdb.md)
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The specified SQL statement is executed as a [prepared statement][mysql-prepare],
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and expects parameters in the SQL query to be in the form of placeholders `?`.
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This tool enables you to:
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- **Query Multiple Datasources**: Execute parameterized SQL across hundreds of connected datasources
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- **Cross-Datasource Joins**: Perform joins between different databases, APIs, and file systems
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- **ML Model Predictions**: Query ML models as virtual tables for real-time predictions
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- **Unstructured Data**: Query documents, images, and other unstructured data as structured tables
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- **Federated Analytics**: Perform analytics across multiple datasources simultaneously
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- **API Translation**: Automatically translate SQL queries into REST APIs, GraphQL, and native protocols
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[mysql-prepare]: https://dev.mysql.com/doc/refman/8.4/en/sql-prepared-statements.html
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## Example Queries
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### Cross-Datasource Analytics
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```sql
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-- Join Salesforce opportunities with GitHub activity
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SELECT
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s.opportunity_name,
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s.amount,
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g.repository_name,
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COUNT(g.commits) as commit_count
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FROM salesforce.opportunities s
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JOIN github.repositories g ON s.account_id = g.owner_id
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WHERE s.stage = ?
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GROUP BY s.opportunity_name, s.amount, g.repository_name;
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```
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### Email & Communication Analysis
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```sql
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-- Analyze email patterns with Slack activity
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SELECT
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e.sender,
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e.subject,
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s.channel_name,
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COUNT(s.messages) as message_count
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FROM gmail.emails e
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JOIN slack.messages s ON e.sender = s.user_name
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WHERE e.date >= ?
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GROUP BY e.sender, e.subject, s.channel_name;
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```
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### ML Model Predictions
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```sql
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-- Use ML model to predict customer churn
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SELECT
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customer_id,
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customer_name,
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predicted_churn_probability,
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recommended_action
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FROM customer_churn_model
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WHERE predicted_churn_probability > ?;
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```
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### MongoDB Query
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```sql
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-- Query MongoDB collections as structured tables
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SELECT
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name,
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email,
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department,
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created_at
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FROM mongodb.users
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WHERE department = ?
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ORDER BY created_at DESC;
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```
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## Example
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> **Note:** This tool uses parameterized queries to prevent SQL injections.
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> Query parameters can be used as substitutes for arbitrary expressions.
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> Parameters cannot be used as substitutes for identifiers, column names, table
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> names, or other parts of the query.
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```yaml
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tools:
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search_flights_by_number:
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kind: mindsdb-sql
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source: my-mindsdb-instance
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statement: |
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SELECT * FROM flights
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WHERE airline = ?
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AND flight_number = ?
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LIMIT 10
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description: |
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Use this tool to get information for a specific flight.
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Takes an airline code and flight number and returns info on the flight.
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Do NOT use this tool with a flight id. Do NOT guess an airline code or flight number.
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A airline code is a code for an airline service consisting of two-character
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airline designator and followed by flight number, which is 1 to 4 digit number.
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For example, if given CY 0123, the airline is "CY", and flight_number is "123".
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Another example for this is DL 1234, the airline is "DL", and flight_number is "1234".
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If the tool returns more than one option choose the date closes to today.
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Example:
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{{
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"airline": "CY",
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"flight_number": "888",
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}}
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Example:
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{{
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"airline": "DL",
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"flight_number": "1234",
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}}
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parameters:
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- name: airline
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type: string
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description: Airline unique 2 letter identifier
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- name: flight_number
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type: string
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description: 1 to 4 digit number
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```
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### Example with Template Parameters
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> **Note:** This tool allows direct modifications to the SQL statement,
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> including identifiers, column names, and table names. **This makes it more
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> vulnerable to SQL injections**. Using basic parameters only (see above) is
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> recommended for performance and safety reasons. For more details, please check
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> [templateParameters](../#template-parameters).
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```yaml
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tools:
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list_table:
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kind: mindsdb-sql
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source: my-mindsdb-instance
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statement: |
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SELECT * FROM {{.tableName}};
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description: |
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Use this tool to list all information from a specific table.
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Example:
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{{
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"tableName": "flights",
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}}
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templateParameters:
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- name: tableName
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type: string
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description: Table to select from
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```
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## Reference
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| **field** | **type** | **required** | **description** |
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|--------------------|:------------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------------------------------------------------|
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| kind | string | true | Must be "mindsdb-sql". |
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| source | string | true | Name of the source the SQL should execute on. |
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| description | string | true | Description of the tool that is passed to the LLM. |
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| statement | string | true | SQL statement to execute on. |
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| parameters | [parameters](../#specifying-parameters) | false | List of [parameters](../#specifying-parameters) that will be inserted into the SQL statement. |
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| templateParameters | [templateParameters](../#template-parameters) | false | List of [templateParameters](../#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
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