From 671e67c49b3443bebf2ba1c2c6fa9c8c206a56b9 Mon Sep 17 00:00:00 2001 From: James Date: Tue, 20 Aug 2024 19:30:41 +0100 Subject: [PATCH] update docs --- README.md | 116 ++++++++++++++++++++++++++++++++++++++++++ assets/.DS_Store | Bin 0 -> 6148 bytes assets/screenshot.png | Bin 0 -> 183883 bytes 3 files changed, 116 insertions(+) create mode 100644 assets/.DS_Store create mode 100644 assets/screenshot.png diff --git a/README.md b/README.md index 1efa997..addb09d 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,10 @@ This project has support for: This database does not enforce a schema, so you can insert records with different fields. +Here is an example of a query run in the JameSQL web interface: + +![JameSQL web interface](assets/screenshot.png) + ## Installation To install this project, run: @@ -66,6 +70,62 @@ A query has the following format: Within the `query` key you can query for documents that match one or more conditions. +An empty query returns no documents. + +You can retrieve all documents by using a catch-all query, which uses the following syntax: + +```python +{ + "query": "*", + "limit": 2, + "sort_by": "song", + "skip": 1 +} +``` + +This is useful if you want to page through documents. You should supply a `sort_by` field to ensure the order of documents is consistent. + +### Document ranking + +By default, documents are ranked in no order. If you provide a `sort_by` field, documents are sorted by that field. + +For more advanced ranking, you can use the `boost` feature. This feature lets you boost the value of a field in a document to calculate a final score. + +The default score for each field is `1`. + +To use this feature, you must use `boost` on fields that have an index. + +Here is an example of a query that uses the `boost` feature: + +```python +{ + "query": { + "or": { + "post": { + "contains": "taylor swift", + "strict": False, + "boost": 1 + }, + "title": { + "contains": "desk", + "strict": True, + "boost": 25 + } + } + }, + "limit": 4, + "sort_by": "_score", +} +``` + +This query would search for documents whose `post` field contains `taylor swift` or whose `title` field contains `desk`. The `title` field is boosted by 25, so documents that match the `title` field are ranked higher. + +The score for each document before boosting is equal to the number of times the query condition is satisfied. For example, if a post contains `taylor swift` twice, the score for that document is `2`; if a title contains `desk` once, the score for that document is `1`. + +Documents are then ranked in decreasing order of score. + +### Condition matching + There are three operators you can use for condition matching: - `equals` @@ -131,6 +191,48 @@ result = index.search(query) This will return a list of documents that match the query. +### Strict matching + +By default, a search query on a text field will find any document where the field contains any word in the query string. For example, a query for `tolerate it` on a `title` field will match any document whose `title` that contains `tolerate` or `it`. This is called a non-strict match. + +Non-strict matches are the default because they are faster to compute than strict matches. + +If you want to find documents where terms appear next to each other in a field, you can do so with a strict match. Here is an example of a strict match: + +```python +query = { + "query": { + "title": { + "contains": "tolerate it", + "strict": True + } + } +} +``` + +This will return documents whose title contains `tolerate it` as a single phrase. + +### Fuzzy matching + +By default, search queries look for the exact string provided. This means that if a query contains a typo (i.e. searching for `tolerate ip` instead of `tolerate it`), no documents will be returned. + +JameSQL implements a limited form of fuzzy matching. This means that if a query contains a typo, JameSQL will still return documents that match the query. + +The fuzzy matching feature matches documents that contain one typo. If a document contains more than one typo, it will not be returned. A typo is an incorrectly typed character. JameSQL does not support fuzzy matching that accounts for missing or additional characters (i.e. `tolerate itt` will not match `tolerate it`). + +You can enable fuzzy matching by setting the `fuzzy` key to `True` in the query. Here is an example of a query that uses fuzzy matching: + +```python +query = { + "query": { + "title": { + "contains": "tolerate ip", + "fuzzy": True + } + } +} +``` + ### Update documents You need a document UUID to update a document. You can retrieve a UUID by searching for a document. @@ -187,6 +289,20 @@ response = index.search( assert len(response["documents"]) == 0 ``` +## Web Interface + +JameSQL comes with a limited web interface designed for use in testing queries. + +_Note: You should not use the web interface if you are extending the query engine. Full error messages are only available in the console when you run the query engine._ + +To start the web interface, run: + +``` +python3 web.py +``` + +The web interface will run on `localhost:5000`. + ## Testing This project comes with two test suites: diff --git a/assets/.DS_Store b/assets/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..8efaee86bddf5dfec0322c309bfc0f4c13f1bd6a GIT binary patch literal 6148 zcmeHKJ5B>p3>-s>NJvpi%69@JZm^1yf|?7U1O!FIA_Dz(oPc|9Ll}QRi53bP3N)7N zdC%*4FFVCL24IWl>vLcZU`ltyi-)oKbN7)QRmO;Po^gYF>~M!3PowJZ6V9EHv%w?T z`}{LJ@U+{DZNFJ>`!(zQN50bE-pja_NdYM!1*Cu!kOIF`z0pQvfH+|~jO&;sh|Lqku5d_XhGt16Ce>=hu%t8Js;(;>5|a*#n|V&% zY&D@++|GQ9a#)wBCR*O=PXNefU|rs+2V_aHT0 z)uY4g(0_mDg!v6ttc=0%8P48_th|zOY$Gh;ohvMoLPN6<2Qw2BNjvAvT}yKlEVj1y zlz74U$lbjT_f?P(8H_CMPpexY1Gb;YuaqzD~Ecnn!OE8y%<(6N7qaAxGT zt8-=)w0p1fI&s*B>%vkLJ2%9m!%VVCX1!@22q3cd#TNW7dKtSoZp`=lSOHlE3jTzEZNsV7MTG33HTu?8Tn{48=zN 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