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			248 lines
		
	
	
		
			7.3 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|  | --- | ||
|  | title: WebSQL and SQLite | ||
|  | pagination_prev: demos/grid | ||
|  | pagination_next: demos/worker | ||
|  | sidebar_custom_props: | ||
|  |   type: web | ||
|  |   sql: true | ||
|  | --- | ||
|  | 
 | ||
|  | WebSQL is a popular SQL-based in-browser database available on Chrome.  In | ||
|  | practice, it is powered by SQLite, and most simple SQLite-compatible queries | ||
|  | work as-is in WebSQL. | ||
|  | 
 | ||
|  | The public demo <https://sheetjs.com/sql> generates a database from workbook. | ||
|  | 
 | ||
|  | ## WebSQL Details
 | ||
|  | 
 | ||
|  | Importing data from spreadsheets is straightforward using the `generate_sql` | ||
|  | helper function from ["Generating Tables"](/docs/demos/data/sql#generating-tables): | ||
|  | 
 | ||
|  | ```js | ||
|  | const db = openDatabase('sheetql', '1.0', 'SheetJS WebSQL Test', 2097152); | ||
|  | const stmts = generate_sql(ws, wsname); | ||
|  | // NOTE: tx.executeSql and db.transaction use callbacks. This wraps in Promises | ||
|  | for(var i = 0; i < stmts.length; ++i) await new Promise((res, rej) => { | ||
|  |   db.transaction(tx => | ||
|  |     tx.executeSql(stmts[i], [], | ||
|  |       (tx, data) => res(data), // if the query is successful, return the data | ||
|  |       (tx, err) => rej(err) // if the query fails, reject with the error | ||
|  |   )); | ||
|  | }); | ||
|  | ``` | ||
|  | 
 | ||
|  | The result of a SQL SELECT statement is a `SQLResultSet`.  The `rows` property | ||
|  | is a `SQLResultSetRowList`.  It is an "array-like" structure that has `length` | ||
|  | and properties like `0`, `1`, etc.  However, this is not a real Array object. | ||
|  | A real Array can be created using `Array.from`: | ||
|  | 
 | ||
|  | ```js | ||
|  | const db = openDatabase('sheetql', '1.0', 'SheetJS WebSQL Test', 2097152); | ||
|  | db.readTransaction(tx => | ||
|  |   tx.executeSQL("SELECT * FROM DatabaseTable", [], (tx, data) => { | ||
|  |     // data.rows is "array-like", so `Array.from` can make it a real array | ||
|  |     const aoo = Array.from(data.rows); | ||
|  |     const ws = XLSX.utils.json_to_sheet(aoo); | ||
|  |     // ... it is recommended to perform an export here OR wrap in a Promise | ||
|  |   }) | ||
|  | ); | ||
|  | ``` | ||
|  | 
 | ||
|  | ### Live Demo
 | ||
|  | 
 | ||
|  | The following demo generates a database with 5 fixed SQL statements. Queries | ||
|  | can be changed in the Live Editor.  The WebSQL database can be inspected in the | ||
|  | "WebSQL" section of the "Application" Tab of Developer Tools: | ||
|  | 
 | ||
|  |  | ||
|  | 
 | ||
|  | ```jsx live | ||
|  | function SheetQL() { | ||
|  |   const [out, setOut] = React.useState(""); | ||
|  |   const queries = [ | ||
|  |     'DROP TABLE IF EXISTS Presidents', | ||
|  |     'CREATE TABLE Presidents (Name TEXT, Idx REAL)', | ||
|  |     'INSERT INTO Presidents  (Name, Idx) VALUES ("Barack Obama", 44)', | ||
|  |     'INSERT INTO Presidents  (Name, Idx) VALUES ("Donald Trump", 45)', | ||
|  |     'INSERT INTO Presidents  (Name, Idx) VALUES ("Joseph Biden", 46)' | ||
|  |   ]; | ||
|  |   const xport = React.useCallback(async() => { | ||
|  |     // prep database | ||
|  |     const db = openDatabase('sheetql', '1.0', 'SheetJS WebSQL Test', 2097152); | ||
|  | 
 | ||
|  |     for(var i = 0; i < queries.length; ++i) await new Promise((res, rej) => { | ||
|  |       db.transaction((tx) => { | ||
|  |         tx.executeSql(queries[i], [], (tx, data) => res(data), (tx, err) => rej(err)); | ||
|  |       }); | ||
|  |     }); | ||
|  | 
 | ||
|  |     // pull data and generate rows | ||
|  |     db.readTransaction(tx => { | ||
|  |       tx.executeSql("SELECT * FROM Presidents", [], (tx, data) => { | ||
|  |         const aoo = Array.from(data.rows); | ||
|  |         setOut("QUERY RESULT:\n" + aoo.map(r => JSON.stringify(r)).join("\n") + "\n") | ||
|  |         const ws = XLSX.utils.json_to_sheet(aoo); | ||
|  |         const wb = XLSX.utils.book_new(); | ||
|  |         XLSX.utils.book_append_sheet(wb, ws, "Presidents"); | ||
|  |         XLSX.writeFile(wb, "SheetQL.xlsx"); | ||
|  |       }); | ||
|  |     }); | ||
|  |   }); | ||
|  |   return ( <pre>{out}<button onClick={xport}><b>Fetch!</b></button></pre> ); | ||
|  | } | ||
|  | ``` | ||
|  | 
 | ||
|  | ## Server-Side SQLite
 | ||
|  | 
 | ||
|  | Most platforms offer a simple way to query SQLite database files. | ||
|  | 
 | ||
|  | The following example shows how to query for each table in an SQLite database, | ||
|  | query for the data for each table, add each non-empty table to a workbook, and | ||
|  | export as XLSX. | ||
|  | 
 | ||
|  | [The Northwind database is available in SQLite form](https://raw.githubusercontent.com/jpwhite3/northwind-SQLite3/master/dist/northwind.db). | ||
|  | 
 | ||
|  | ### NodeJS
 | ||
|  | 
 | ||
|  | The **`better-sqlite3`** module provides a very simple API for working with | ||
|  | SQLite databases. `Statement#all` runs a prepared statement and returns an array | ||
|  | of JS objects. | ||
|  | 
 | ||
|  | 1) Install the dependencies: | ||
|  | 
 | ||
|  | ```bash | ||
|  | npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz better-sqlite3 | ||
|  | ``` | ||
|  | 
 | ||
|  | 2) Save the following to `node.mjs`: | ||
|  | 
 | ||
|  | ```js title="node.mjs" | ||
|  | /* Load SQLite3 connector library */ | ||
|  | import Database from "better-sqlite3"; | ||
|  | 
 | ||
|  | /* Load SheetJS library */ | ||
|  | import * as XLSX from 'xlsx'; | ||
|  | import * as fs from 'fs'; | ||
|  | XLSX.set_fs(fs); | ||
|  | 
 | ||
|  | /* Initialize database */ | ||
|  | var db = Database("northwind.db"); | ||
|  | 
 | ||
|  | /* Create new workbook */ | ||
|  | var wb = XLSX.utils.book_new(); | ||
|  | 
 | ||
|  | /* Get list of table names */ | ||
|  | var sql = db.prepare("SELECT name FROM sqlite_master WHERE type='table'"); | ||
|  | var result = sql.all(); | ||
|  | 
 | ||
|  | /* Loop across each name */ | ||
|  | result.forEach(function(row) { | ||
|  |   /* Get first 100K rows */ | ||
|  |   var aoo = db.prepare("SELECT * FROM '" + row.name + "' LIMIT 100000").all(); | ||
|  |   if(aoo.length > 0) { | ||
|  |     /* Create Worksheet from the row objects */ | ||
|  |     var ws = XLSX.utils.json_to_sheet(aoo, {dense: true}); | ||
|  |     /* Add to Workbook */ | ||
|  |     XLSX.utils.book_append_sheet(wb, ws, row.name); | ||
|  |   } | ||
|  | }); | ||
|  | 
 | ||
|  | /* Write File */ | ||
|  | XLSX.writeFile(wb, "node.xlsx"); | ||
|  | ``` | ||
|  | 
 | ||
|  | 3) Run `node node.mjs` and open `node.xlsx` | ||
|  | 
 | ||
|  | ### Bun
 | ||
|  | 
 | ||
|  | Bun ships with a built-in high-performance module `bun:sqlite`. | ||
|  | 
 | ||
|  | 1) Install the dependencies: | ||
|  | 
 | ||
|  | ```bash | ||
|  | npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz | ||
|  | ``` | ||
|  | 
 | ||
|  | 2) Save the following to `bun.mjs`: | ||
|  | 
 | ||
|  | ```js title="bun.mjs" | ||
|  | /* Load SQLite3 connector library */ | ||
|  | import { Database } from "bun:sqlite"; | ||
|  | 
 | ||
|  | /* Load SheetJS library */ | ||
|  | import * as XLSX from 'xlsx'; | ||
|  | import * as fs from 'fs'; | ||
|  | XLSX.set_fs(fs); | ||
|  | 
 | ||
|  | /* Initialize database */ | ||
|  | var db = Database.open("northwind.db"); | ||
|  | 
 | ||
|  | /* Create new workbook */ | ||
|  | var wb = XLSX.utils.book_new(); | ||
|  | 
 | ||
|  | /* Get list of table names */ | ||
|  | var sql = db.prepare("SELECT name FROM sqlite_master WHERE type='table'"); | ||
|  | var result = sql.all(); | ||
|  | 
 | ||
|  | /* Loop across each name */ | ||
|  | result.forEach(function(row) { | ||
|  |   /* Get first 100K rows */ | ||
|  |   var aoo = db.prepare("SELECT * FROM '" + row.name + "' LIMIT 100000").all(); | ||
|  |   if(aoo.length > 0) { | ||
|  |     /* Create Worksheet from the row objects */ | ||
|  |     var ws = XLSX.utils.json_to_sheet(aoo, {dense: true}); | ||
|  |     /* Add to Workbook */ | ||
|  |     XLSX.utils.book_append_sheet(wb, ws, row.name); | ||
|  |   } | ||
|  | }); | ||
|  | 
 | ||
|  | /* Write File */ | ||
|  | XLSX.writeFile(wb, "bun.xlsx"); | ||
|  | ``` | ||
|  | 
 | ||
|  | 3) Run `bun bun.mjs` and open `bun.xlsx` | ||
|  | 
 | ||
|  | ### Deno
 | ||
|  | 
 | ||
|  | Deno `sqlite` library returns raw arrays of arrays. | ||
|  | 
 | ||
|  | 1) Save the following to `deno.ts`: | ||
|  | 
 | ||
|  | ```ts title="deno.ts" | ||
|  | /* Load SQLite3 connector library */ | ||
|  | import { DB } from "https://deno.land/x/sqlite/mod.ts"; | ||
|  | 
 | ||
|  | /* Load SheetJS library */ | ||
|  | // @deno-types="https://cdn.sheetjs.com/xlsx-latest/package/types/index.d.ts" | ||
|  | import * as XLSX from 'https://cdn.sheetjs.com/xlsx-latest/package/xlsx.mjs'; | ||
|  | 
 | ||
|  | /* Initialize database */ | ||
|  | var db = new DB("northwind.db"); | ||
|  | 
 | ||
|  | /* Create new workbook */ | ||
|  | var wb = XLSX.utils.book_new(); | ||
|  | 
 | ||
|  | /* Get list of table names */ | ||
|  | var sql = db.prepareQuery("SELECT name FROM sqlite_master WHERE type='table'"); | ||
|  | var result = sql.all(); | ||
|  | /* Loop across each name */ | ||
|  | result.forEach(function(row) { | ||
|  |   /* Get first 100K rows */ | ||
|  |   var query = db.prepareQuery("SELECT * FROM '" + row[0] + "' LIMIT 100000") | ||
|  |   var aoa = query.all(); | ||
|  |   if(aoa.length > 0) { | ||
|  |     /* Create array of arrays */ | ||
|  |     var data = [query.columns().map(x => x.name)].concat(aoa); | ||
|  |     /* Create Worksheet from the aoa */ | ||
|  |     var ws = XLSX.utils.aoa_to_sheet(data, {dense: true}); | ||
|  |     /* Add to Workbook */ | ||
|  |     XLSX.utils.book_append_sheet(wb, ws, row[0]); | ||
|  |   } | ||
|  | }); | ||
|  | 
 | ||
|  | /* Write File */ | ||
|  | XLSX.writeFile(wb, "deno.xlsx"); | ||
|  | ``` | ||
|  | 
 | ||
|  | 3) Run `deno run --allow-read --allow-write deno.ts` and open `deno.xlsx` |