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https://github.com/mikeal/IPSQL
InterPlanetary SQL
https://github.com/mikeal/IPSQL
Last synced: 23 days ago
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InterPlanetary SQL
- Host: GitHub
- URL: https://github.com/mikeal/IPSQL
- Owner: mikeal
- Created: 2020-12-17T05:55:12.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-02-16T21:52:04.000Z (over 3 years ago)
- Last Synced: 2024-06-22T13:45:25.030Z (3 months ago)
- Language: JavaScript
- Size: 353 KB
- Stars: 213
- Watchers: 11
- Forks: 9
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
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README
# IPSQL
IPSQL is a decentralized database that can run in IPFS. It implements the SQL schema, data model,
and query language.
This project is pre-alpha and under heavy active development. Do not use in production, breaking
changes will land without notice.
The JS API is currently considered internal until the churn in the code base dies down.
* Features
* Traditional SQL [CREATE, UPDATE, SELECT, WHERE, etc](#sql-feature-checklist).
* Deltas and proofs for every database operation and query.
* You can replicate the data for only a single query as hash linked blocks.
* Every mutation creates deltas to prior states and even query deltas can
be replicated.
* Optional Encryption
* [DAG Tables](./docs/dag-tables.md) (JSON-like unstructured objects as rows, with column indexing an SQL queries still available)
This project is built using a [tree building technique](https://0fps.net/2020/12/19/peer-to-peer-ordered-search-indexes/) implemented in the [chunky-trees](https://github.com/mikeal/chunky-trees) module.
# CLI
The primary way to interact with IPSQL right now is via the command line. You can install it with
`npm` or use `npx` to run it without installing locally.
```
$ ipsql help
ipsql [command]
Commands:
ipsql query Run IPSQL query
ipsql repl Run local REPL
ipsql create Create a new database
ipsql write Mutate an existing SQL database
ipsql import Import CSV files
ipsql keygen Generate keys for encryption
Options:
--help Show help [boolean]
--version Show version number [boolean]
```
* CLI
* [Importing CSV files](./docs/importing-csv.md)
* [Importing JSON files (into DAG tables)](./docs/importing-json.md)
* [CREATE and INSERT](./docs/create-and-insert.md)
* [Encrypting and Decrypting databases](./docs/encryption.md)
# SQL Feature Checklist
- CREATE
- [ ] DATABASE (it isn't clear how we would want to implement and support this yet)
- TABLE
- [x] INTEGER
- [x] VARCHAR(size)
- [x] FLOAT
- [ ] DATE
- [ ] TIME
- [ ] DATETIME
- [ ] BLOB (should use the FBL, values smaller than 32b will be inline binary, below 1MB should
be a single raw block link, anything else is a full tree FBL as a stream)
- [ ] TEXT (may never support, according to spec this is upt 2GB of string data so it's hard
to figure out what the inline vs linking rules would be. Instead, using VARCHAR
as the inlined string and BLOB the *probably* linked type)
- [ ] ALTER TABLE
- INSERT
- [x] ROWS `INSERT INTO table_name VALUES ( 'test' )`
- [x] COLUMNS `INSERT INTO table_name ( column_name ) VALUES ( 'test' )`
- UPDATE
- [x] UPDATE SET w/o WHERE
- [x] UPDATE SET WHERE
- DELETE
- [ ] DELETE w/o WHERE (deletes table)
- [ ] DELETE WHERE
- SELECT
- [x] * `SELECT * FROM table_name`
- [x] COLUMNS `SELECT column1, column2 FROM table_name`
- [ ] ROWID meta column
- [ ] TOP
- [x] MIN
- [x] MAX
- [x] COUNT
- [x] AVG
- [x] SUM
- [ ] LIKE *pattern*
- WHERE
- [x] AND
- [x] OR
- [x] ASC, DESC
- [x] basic comparison (=, >, <, >=, <=)
- [ ] <>
- [ ] GROUP BY
- [x] ORDER BY
- [ ] BETWEEN
- [ ] LIKE
- [ ] IN
- [ ] NOT
- [ ] IS NOT NULL, IS NULL
- [ ] JOIN
- [x] ORDER BY
- [ ] GROUP BY
- [ ] HAVING
- [ ] UNION
### IPLD Schema
```ipldsch
type Column {
schema &Map
index nullable &DBIndex
}
type Columns { String: Column }
type Table struct {
columns Columns
rows nullable &SparseArray
}
type Tables { String: Table }
type Database struct {
tables Tables
}
```