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# Add Bigtable support
A `bigtable` source can be added as the following example
```
sources:
test-bigtable-source:
kind: "bigtable"
project: "sample-project"
instance: "sample-instance"
```
A `bigtable` tool can be added as below
```
tools:
get-test-tool-data:
kind: bigtable-sql
source: test-bigtable-source
description: Some description
statement: SELECT * FROM `test-table` WHERE address['state'] = @state;
parameters:
- name: state
type: string
description: Filter by state
```
---------
Co-authored-by: Yuan <45984206+Yuan325@users.noreply.github.com>
Co-authored-by: Kurtis Van Gent <31518063+kurtisvg@users.noreply.github.com>
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
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3.4 KiB
title, type, weight, description
| title | type | weight | description |
|---|---|---|---|
| bigtable-sql | docs | 1 | A "bigtable-sql" tool executes a pre-defined SQL statement against a Google Cloud Bigtable instance. |
About
A bigtable-sql tool executes a pre-defined SQL statement against a Bigtable
instance. It's compatible with any of the following sources:
GoogleSQL
Bigtable supports SQL queries. The integration with Toolbox supports googlesql
dialect, the specified SQL statement is executed as a data manipulation
language (DML) statements, and specified parameters will
inserted according to their name: e.g. @name.
Example
tools:
search_user_by_id_or_name:
kind: bigtable-sql
source: my-bigtable-instance
statement: |
SELECT
TO_INT64(cf[ 'id' ]) as id,
CAST(cf[ 'name' ] AS string) as name,
FROM
% s
WHERE
TO_INT64(cf[ 'id' ]) = @id
OR CAST(cf[ 'name' ] AS string) = @name;
description: |
Use this tool to get information for a specific user.
Takes an id number or a name and returns info on the user.
Example:
{{
"id": 123,
"name": "Alice",
}}
parameters:
- name: id
type: integer
description: User ID
- name: name
type: string
description: Name of the user
Reference
| field | type | required | description |
|---|---|---|---|
| kind | string | true | Must be "bigtable-sql". |
| source | string | true | Name of the source the SQL should execute on. |
| description | string | true | Description of the tool that is passed to the LLM. |
| statement | string | true | SQL statement to execute on. |
| parameters | parameters | false | List of parameters that will be inserted into the SQL statement. |
Tips
- Bigtable Studio is a useful to explore and manage your Bigtable data. If you're unfamiliar with the query syntax, Query Builder lets you build a query, run it against a table, and then view the results in the console.
- Some Python libraries limit the use of underscore columns such as
_key. A workaround would be to leverage Bigtable Logical Views to rename the columns.