WIP documentation for the V1 Search Milestone

Signed-off-by: Eric Peterson <ericpeterson@spotify.com>
This commit is contained in:
Eric Peterson
2021-05-18 14:54:01 +02:00
parent e3c18ec501
commit f86171027e
2 changed files with 243 additions and 0 deletions
+88
View File
@@ -0,0 +1,88 @@
---
id: concepts
title: Search Concepts
description: Documentation on Backstage Search Concepts
---
# Search Concepts
Backstage Search is _blah_.
To get started, you should get familiar with these core concepts:
- Search Engines
- Query Translators
- Documents and Indices
- Collators
- Decorators
- The Scheduler
### Search Engines
Backstage Search isn't a search engine itself, rather, it provides an interface
between your Backstage instance and a Search Engine of your choice. More
concretely, a `SearchEngine` is an interface whose concrete implementations
facilitate communication with different search engines (like ElasticSearch,
Solr, Algolia, etc). This abstraction exists in order to support your
organization's needs.
Out of the box, Backstage Search comes pre-packaged with an in-memory search
engine implementation built on top of Lunr.
### Query Translators
Because you can bring your own search engine, and because search engines have
very unique and robust query languages themselves, there needs to be a
translation layer between an abstract search query (containing search terms,
filters, and document types) into a concrete search query that is specific to a
search engine.
Search Engines come pre-packaged with simple translators that do rudimentary
transformations of search terms and filters, but you may want to provide your
own to help tune seearch results in the context of your organization.
### Documents and Indices
"Document" is an abstract concept representing something that can be found by
searching for it. A document can represent a software entity, a TechDocs page,
etc. Documents are made up of metadata fields, at a minimum including a title,
text, and location (as in a URL).
An index is a collection of such documents of a given type.
### Collators
You need to be able to search something! Collators are the way to define what
can be searched. Specifically, they're classes which return documents conforming
to a minimum set of fields (including a document title, location, and text), but
which can contain any other fields as defined by the collator itself. One
collator is responsible for defining and collecting documents of a type.
Some plugins, like the Catalog Backend, provide so-called "default" collators
which you can use out-of-the-box to start searching across Backstage quickly.
### Decorators
Sometimes you want to add extra information to a set of documents in your search
index that the collator may not be aware of. For example, the Software Catalog
knows about software entities, but it may not know about their usage or quality.
Decorators are classes which can add extra fields to pre-collated documents.
This extra metadata could then be used to bias search results or otherwise
improve the search experience in your Backstage instance.
### The Scheduler
There are many ways a search index could be built and maintained, but Backstage
Search chooses to completely rebuild indices on a schedule. Different collators
can be configured to refresh at different intervals, depending on how often the
source information is updated.
TODO: There should probably be some front-end concepts here too?
- Search Page
- Search Components
- Search Context
[Primarily solves for “As an App Integrator, I should know how to add do uments
to the search index”]
+155
View File
@@ -0,0 +1,155 @@
---
id: getting-started
title: Getting Started with Search
description: How to set up and install Backstage Search
---
# Getting Started
Search functions as a plugin to Backstage, so you will need to use Backstage to
use Search.
If you haven't setup Backstage already, start
[here](../../getting-started/index.md).
> If you used `npx @backstage/create-app`, Search may already be present.
>
> You should skip to [`Customizing Search`](#customizing-search) below.
## Adding Search to the Frontend
```bash
# From your Backstage root directory
cd packages/app
yarn add @backstage/plugin-search
```
TODO: Add frontend instructions here.
## Adding Search to the Backend
Add the following plugins into your backend app:
```bash
# From your Backstage root directory
cd packages/backend
yarn add @backstage/plugin-search-backend @backstage/plugin-search-backend-node
```
Create a `packages/backend/src/plugins/search.ts` file containing the following
code:
```typescript
import { useHotCleanup } from '@backstage/backend-common';
import { createRouter } from '@backstage/plugin-search-backend';
import {
IndexBuilder,
LunrSearchEngine,
} from '@backstage/plugin-search-backend-node';
import { PluginEnvironment } from '../types';
import { DefaultCatalogCollator } from '@backstage/plugin-catalog-backend';
export default async function createPlugin({
logger,
discovery,
}: PluginEnvironment) {
const searchEngine = new LunrSearchEngine({ logger });
const indexBuilder = new IndexBuilder({ logger, searchEngine });
indexBuilder.addCollator({
type: 'software-catalog',
defaultRefreshIntervalSeconds: 600,
collator: new DefaultCatalogCollator({ discovery }),
});
const { scheduler } = await indexBuilder.build();
scheduler.start();
useHotCleanup(module, () => scheduler.stop());
return await createRouter({
engine: indexBuilder.getSearchEngine(),
logger,
});
}
```
Make the following modifications to your `packages/backend/src/index.ts` file:
Import the `plugins/search` file you created above:
```typescript
import search from './plugins/search';
```
Set up an environment for search:
```typescript
const searchEnv = useHotMemoize(module, () => createEnv('search'));
```
Register the search service with the router:
```typescript
apiRouter.use('/search', await search(searchEnv));
```
## Customizing Search
Backstage Search isn't a search engine itself, rather, it provides an interface
between your Backstage instance and a Search Engine of your choice. Currently,
we only support one, in-memory search Engine called Lunr. It can be instantiated
like this:
```typescript
const searchEngine = new LunrSearchEngine({ logger });
const indexBuilder = new IndexBuilder({ logger, searchEngine });
```
Backstage Search can be used to power search of anything! Plugins like the
Catalog offer default "collators" which are responsible for providing documents
to be indexed. You can register any number of collators with the `IndexBuilder`
like this:
```typescript
const indexBuilder = new IndexBuilder({ logger, searchEngine });
indexBuilder.addCollator({
type: 'software-catalog',
defaultRefreshIntervalSeconds: 600,
collator: new DefaultCatalogCollator({ discovery }),
});
indexBuilder.addCollator({
type: 'my-custom-stuff',
defaultRefreshIntervalSeconds: 3600,
collator: new MyCustomCollator(),
});
```
Backstage Search builds and maintains its index on a schedule. You can change
how often the indexes are rebuilt for a given type of document. You may want to
do this if your documents are updated more or less frequently. You can do so by
modifying its `defaultRefreshIntervalSeconds` value, like this:
```typescript {3}
indexBuilder.addCollator({
type: 'software-catalog',
defaultRefreshIntervalSeconds: 600,
collator: new DefaultCatalogCollator({ discovery }),
});
```
---
[Primarily solves for “As an App Integrator, I should be able to install out-of
the-box Search”]
Backend: Different for new Backstage instances (created via create-app) vs.
people enabling search on existing Backstage instances (see catalog install for
example).
Frontend: Search Page Route…? Customizing result components…?
Conceptually… Whats the difference between “out-of-the-box” or “basic” and the
recommended deployment (which will come)