mirror of https://github.com/searx/searx
Created database structure (markdown)
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mindstorming for a database which would be used inside searx in future:
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regarding to Issue [#205](https://github.com/asciimoo/searx/issues/205)
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### Database-Systems
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#### SQLite3
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* minimalistic, already available inside Python
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#### Peewee
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* can use SQLite as well as MySQL and PostgreSQL
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* more flexible for the admin
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### Tables
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#### server preferences
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#### users
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if we have a login (at least for admins), we require a user-table
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**user**
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| db column | db options | description |
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| ----------- | ---------------- | ----------------------------------------- |
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| id | AI, PRIMARY | |
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| username | INDEX | |
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| password | | salted and hashed |
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| is_admin | | finer right system would be more flexibel |
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#### stats
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how could we represent the stats in the best way?
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it would be cool if we can represent the data inside a timeline, but without too big overhead. [#162](https://github.com/asciimoo/searx/issues/162)
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#### https_rewrite
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if we are specify only one url_pattern for every possible url, we can use Database search instead of regex-matching. This should improve the speed well, specifically for larger datasets.
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I think the most efficient implementation would be a n:m representation. We can cache the rewrite_rules inside python, and use the database to find out what rewrite_rules have to be called.
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**https_urls**
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| db column | db options | description |
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| ----------- | ---------------- | ------------- |
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| id | AI, PRIMARY | |
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| url_pattern | UNIQE, INDEX | wildcard is inside database, how to handle this? |
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**https_url_to_rewrite**
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| db column | db options | description |
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| ----------- | ---------------- | ------------- |
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| id | AI, PRIMARY | |
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| url_id | INDEX | |
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| rewrite_id | | |
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**https_rewrite_rules**
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| db column | db options | description |
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| ------------ | ---------------- | ------------- |
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| id | AI, PRIMARY | |
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| rewrite_from | | |
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| rewrite_to | | |
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