diff --git a/docz/docs/04-getting-started/03-demos/10-database.md b/docz/docs/04-getting-started/03-demos/10-database.md
index 1919cf3..0058705 100644
--- a/docz/docs/04-getting-started/03-demos/10-database.md
+++ b/docz/docs/04-getting-started/03-demos/10-database.md
@@ -563,6 +563,176 @@ for(var i = 0; i < localForage.length; ++i) aoo.push(JSON.parse(await localForag
const wb = XLSX.utils.json_to_sheet(aoo);
```
+### Other SQL Databases
+
+The `generate_sql` function from ["Building Schemas from Worksheets"](#building-schemas-from-worksheets)
+can be adapted to generate SQL statements for a variety of databases, including:
+
+**PostgreSQL**
+
+The `pg` connector library was tested against the `generate_sql` output as-is.
+
+The `rows` property of a query result is an array of objects that plays nice
+with `json_to_sheet`:
+
+```js
+const aoa = await connection.query(`SELECT * FROM DataTable`).rows;
+const worksheet = XLSX.utils.json_to_sheet(aoa);
+```
+
+**MySQL / MariaDB**
+
+The `mysql2` connector library was tested. The differences are shown below,
+primarily stemming from the different quoting requirements and field types.
+
+Differences (click to show)
+
+```js
+// highlight-start
+// define mapping between determined types and MySQL types
+const PG = { "n": "REAL", "s": "TEXT", "b": "TINYINT" };
+// highlight-end
+
+function generate_sql(ws, wsname) {
+
+ // generate an array of objects from the data
+ const aoo = XLSX.utils.sheet_to_json(ws);
+
+ // types will map column headers to types, while hdr holds headers in order
+ const types = {}, hdr = [];
+
+ // loop across each row object
+ aoo.forEach(row =>
+ // Object.entries returns a row of [key, value] pairs. Loop across those
+ Object.entries(row).forEach(([k,v]) => {
+
+ // If this is first time seeing key, mark unknown and append header array
+ if(!types[k]) { types[k] = "?"; hdr.push(k); }
+
+ // skip null and undefined
+ if(v == null) return;
+
+ // check and resolve type
+ switch(typeof v) {
+ case "string": // strings are the broadest type
+ types[k] = "s"; break;
+ case "number": // if column is not string, number is the broadest type
+ if(types[k] != "s") types[k] = "n"; break;
+ case "boolean": // only mark boolean if column is unknown or boolean
+ if("?b".includes(types[k])) types[k] = "b"; break;
+ default: types[k] = "s"; break; // default to string type
+ }
+ })
+ );
+
+ // The final array consists of the CREATE TABLE query and a series of INSERTs
+ return [
+ // generate CREATE TABLE query and return batch
+ // highlight-next-line
+ `CREATE TABLE ${wsname} (${hdr.map(h =>
+ // highlight-next-line
+ `${h} ${PG[types[h]]}`
+ ).join(", ")});`
+ ].concat(aoo.map(row => { // generate INSERT query for each row
+ // entries will be an array of [key, value] pairs for the data in the row
+ const entries = Object.entries(row);
+ // fields will hold the column names and values will hold the values
+ const fields = [], values = [];
+ // check each key/value pair in the row
+ entries.forEach(([k,v]) => {
+ // skip null / undefined
+ if(v == null) return;
+ // highlight-next-line
+ fields.push(`${k}`);
+ // when the field type is numeric, `true` -> 1 and `false` -> 0
+ if(types[k] == "n") values.push(typeof v == "boolean" ? (v ? 1 : 0) : v);
+ // otherwise,
+ // highlight-next-line
+ else values.push(`"${v.toString().replaceAll('"', '""')}"`);
+ })
+ if(fields.length) return `INSERT INTO \`${wsname}\` (${fields.join(", ")}) VALUES (${values.join(", ")})`;
+ })).filter(x => x); // filter out skipped rows
+}
+```
+
+Generating a Table (click to show)
+
+```js
+// define mapping between determined types and Knex types
+const PG = { "n": "float", "s": "text", "b": "boolean" };
+
+async function generate_sql(knex, ws, wsname) {
+
+ // generate an array of objects from the data
+ const aoo = XLSX.utils.sheet_to_json(ws);
+
+ // types will map column headers to types, while hdr holds headers in order
+ const types = {}, hdr = [];
+
+ // loop across each row object
+ aoo.forEach(row =>
+ // Object.entries returns a row of [key, value] pairs. Loop across those
+ Object.entries(row).forEach(([k,v]) => {
+
+ // If this is first time seeing key, mark unknown and append header array
+ if(!types[k]) { types[k] = "?"; hdr.push(k); }
+
+ // skip null and undefined
+ if(v == null) return;
+
+ // check and resolve type
+ switch(typeof v) {
+ case "string": // strings are the broadest type
+ types[k] = "s"; break;
+ case "number": // if column is not string, number is the broadest type
+ if(types[k] != "s") types[k] = "n"; break;
+ case "boolean": // only mark boolean if column is unknown or boolean
+ if("?b".includes(types[k])) types[k] = "b"; break;
+ default: types[k] = "s"; break; // default to string type
+ }
+ })
+ );
+
+ await knex.schema.dropTableIfExists(wsname);
+ await knex.schema.createTable(wsname, (table) => { hdr.forEach(h => { table[PG[types[h]] || "text"](h); }); });
+ for(let i = 0; i < aoo.length; ++i) {
+ if(!aoo[i] || !Object.keys(aoo[i]).length) continue;
+ try { await knex.insert(aoo[i]).into(wsname); } catch(e) {}
+ }
+ return knex;
+}
+```
+
+
+SheetJS + AngularJS demo + +The core library can be used as-is in AngularJS applications. +The Community Edition README details some common use cases. +We also have some more public demos + +This demo shows: +- $http request for XLSX file and scope update with data +- HTML table using ng-repeat +- XLSX table export using `XLSX.utils.table_to_book` + +Sample Spreadsheet + +The table has hardcoded fields `Name` and `Index`. + ++ +
Name | Index |
---|---|
{{row.Name}} | +{{row.Index}} | +
+SheetJS + AngularJS demo + +The core library can be used as-is in AngularJS applications. +The Community Edition README details some common use cases. +We also have some more public demos + +This demo shows: +- SheetJSExportService: a service for exporting data from a ui-grid +- SheetJSImportDirective: a directive providing a file input button for import + +Sample Spreadsheet ++ +
+SheetJS Data Preview Live Demo + +canvas-datagrid component library + +Source Code Repo +Issues? Something look weird? Click here and report an issue + ++ + +Drop a spreadsheet file here to see sheet data+ ... or click here to select a file + +Advanced Demo Options: +