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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>
83 lines
3.4 KiB
Markdown
83 lines
3.4 KiB
Markdown
---
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title: "bigtable-sql"
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type: docs
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weight: 1
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description: >
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A "bigtable-sql" tool executes a pre-defined SQL statement against a Google
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Cloud Bigtable instance.
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---
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## About
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A `bigtable-sql` tool executes a pre-defined SQL statement against a Bigtable
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instance. It's compatible with any of the following sources:
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- [bigtable](../sources/bigtable.md)
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### GoogleSQL
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Bigtable supports SQL queries. The integration with Toolbox supports `googlesql`
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dialect, the specified SQL statement is executed as a [data manipulation
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language (DML)][bigtable-googlesql] statements, and specified parameters will
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inserted according to their name: e.g. `@name`.
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[bigtable-googlesql]: https://cloud.google.com/bigtable/docs/googlesql-overview
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## Example
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```yaml
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tools:
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search_user_by_id_or_name:
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kind: bigtable-sql
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source: my-bigtable-instance
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statement: |
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SELECT
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TO_INT64(cf[ 'id' ]) as id,
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CAST(cf[ 'name' ] AS string) as name,
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FROM
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% s
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WHERE
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TO_INT64(cf[ 'id' ]) = @id
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OR CAST(cf[ 'name' ] AS string) = @name;
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description: |
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Use this tool to get information for a specific user.
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Takes an id number or a name and returns info on the user.
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Example:
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{{
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"id": 123,
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"name": "Alice",
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}}
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parameters:
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- name: id
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type: integer
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description: User ID
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- name: name
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type: string
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description: Name of the user
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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 "bigtable-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](_index#specifying-parameters) | false | List of [parameters](_index#specifying-parameters) that will be inserted into the SQL statement. |
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## Tips
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- [Bigtable Studio][bigtable-studio] is a useful to explore and manage your
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Bigtable data. If you're unfamiliar with the query syntax, [Query
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Builder][bigtable-querybuilder] lets you build a query, run it against a
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table, and then view the results in the console.
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- Some Python libraries limit the use of underscore columns such as `_key`. A
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workaround would be to leverage Bigtable [Logical
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Views][bigtable-logical-view] to rename the columns.
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[bigtable-studio]: https://cloud.google.com/bigtable/docs/manage-data-using-console
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[bigtable-logical-view]: https://cloud.google.com/bigtable/docs/create-manage-logical-views
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[bigtable-querybuilder]: https://cloud.google.com/bigtable/docs/query-builder
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