Sheets with PostgreSQL

PostgreSQL (colloquially referenced as "Postgres") is an open source object-relational database system.

SheetJS is a JavaScript library for reading and writing data from spreadsheets.

This demo uses SheetJS to exchange data between spreadsheets and PostgreSQL databases. We'll explore how to save tables from a database to spreadsheets and how to add data from spreadsheets into a database.

It is strongly recommended to use PostgreSQL with a query builder or ORM.

While it is possible to generate SQL statements directly, there are many subtle details and pitfalls. Battle-tested solutions generally provide mitigations against SQL injection and other vulnerabilities.

Tested Deployments

This demo was tested in the following environments:

Postgres	Connector Library	Date
16.2.1	pg (8.11.4)	2024-03-31
15.6	pg (8.11.4)	2024-03-31
14.11	pg (8.11.4)	2024-03-31

Integration Details

The SheetJS NodeJS module can be loaded in NodeJS scripts that connect to PostgreSQL databases.

This demo uses the pg connector module¹, but the same mechanics apply to other PostgreSQL libraries.

Exporting Data

Client#query returns a Promise that resolves to a result set. The rows property of the result is an array of objects.

The SheetJS json_to_sheet method² can generate a worksheet object³ from the array of objects:

const table_name = "Tabeller1"; // name of table

/* fetch all data from specified table */
const res = await client.query(`SELECT * FROM ${table_name}`);

/* generate a SheetJS worksheet object from the data */
const worksheet = XLSX.utils.json_to_sheet(res.rows);

A workbook object can be built from the worksheet using utility functions⁴. The workbook can be exported using the SheetJS writeFile method⁵:

/* create a new workbook and add the worksheet */
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, worksheet, "Sheet1");

/* export workbook to XLSX */
XLSX.writeFile(wb, "SheetJSPGExport.xlsx");

Importing Data

The SheetJS sheet_to_json function⁶ takes a worksheet object and generates an array of objects.

Queries must be manually generated from the objects. Assuming the field names in the object match the column headers, a loop can generate INSERT queries.

PostgreSQL does not allow parameterized queries with variable column names

INSERT INTO table_name (?) VALUES (?);
-- ---------------------^ variable column names are not valid

Queries are generated manually. To help prevent SQL injection vulnerabilities, the pg-format⁷ module escapes identifiers and fields.

/* generate an array of arrays from the worksheet */
const aoo = XLSX.utils.sheet_to_json(ws);

const table_name = "Blatte1"; // name of table

/* loop through the data rows */
for(let row of aoo) {

  /* generate format helper strings */
  const ent = Object.entries(row);
  const Istr = Array.from({length: entries.length}, ()=>"%I").join(", ");
  const Lstr = Array.from({length: entries.length}, ()=>"%L").join(", ");

  /* generate INSERT statement */
  let query = format.withArray(
    `INSERT INTO %I (${Istr}) VALUES(${Lstr})`,
    [ table_name, ...ent.map(x => x[0]), ...ent.map(x => x[1]) ]
  );

  /* execute INSERT statement */
  await client.query(query);
}

Creating a Table

The array of objects can be scanned to determine column names and types. With the names and types, a CREATE TABLE query can be written.

Implementation Details (click to show)

The aoo_to_pg_table function:

• scans each row object to determine column names and types
• drops and creates a new table with the determined column names and types
• loads the entire dataset into the new table

/* create table and load data given an array of objects and a PostgreSQL client */
async function aoo_to_pg_table(client, aoo, table_name) {
  /* define types that can be converted (e.g. boolean can be stored in float) */
  const T_FLOAT = ["float8", "boolean"];
  const T_BOOL = ["boolean"];

  /* types is a map from column headers to Knex schema column type */
  const types = {};

  /* names is an ordered list of the column header names */
  const names = [];

  /* loop across each row object */
  aoo.forEach(row =>
    /* Object.entries returns a row of [key, value] pairs */
    Object.entries(row).forEach(([k,v]) => {

      /* If this is first occurrence, mark unknown and append header to names */
      if(!types[k]) { types[k] = ""; names.push(k); }

      /* skip null and undefined values */
      if(v == null) return;

      /* check and resolve type */
      switch(typeof v) {
        /* change type if it is empty or can be stored in a float */
        case "number": if(!types[k] || T_FLOAT.includes(types[k])) types[k] = "float8"; break;
        /* change type if it is empty or can be stored in a boolean */
        case "boolean": if(!types[k] || T_BOOL.includes(types[k])) types[k] = "boolean"; break;
        /* no other type can hold strings */
        case "string": types[k] = "text"; break;
        default: types[k] = "text"; break;
      }
    })
  );

  /* Delete table if it exists in the DB */
  const query = format("DROP TABLE IF EXISTS %I;", table_name);
  await client.query(query);

  /* Create table */
  {
    const entries = Object.entries(types);
    const Istr = entries.map(e => format(`%I ${e[1]}`, e[0])).join(", ");
    let query = format.withArray(`CREATE TABLE %I (${Istr});`, [ table_name ]);
    await client.query(query);
  }

  /* Insert each row */
  for(let row of aoo) {
    const ent = Object.entries(row);
    const Istr = Array.from({length: ent.length}, ()=>"%I").join(", ");
    const Lstr = Array.from({length: ent.length}, ()=>"%L").join(", ");
    let query = format.withArray(
      `INSERT INTO %I (${Istr}) VALUES (${Lstr});`,
      [ table_name, ...ent.map(x => x[0]), ...ent.map(x => x[1]) ]
    );
    await client.query(query);
  }

  return client;
}

Complete Example

0. Install and start the PostgreSQL server.

Installation Notes (click to show)

On macOS, install the postgresql formula with Homebrew:

brew install postgresql@16

The last few lines of the installer explain how to start the database:

Or, if you don't want/need a background service you can just run:
  LC_ALL="C" /usr/local/opt/postgresql@16/bin/postgres -D /usr/local/var/postgresql@16

Run the command to start a local database instance.

1. Drop any existing database with the name SheetJSPG:

dropdb SheetJSPG

If the server is running elsewhere, or if the username is different from the current user, command-line flags can override the defaults.

Option	Explanation
-h HOSTNAME	Name of the server
-p PORT	specifies the port number
-U USERNAME	specifies the username

2. Create an empty SheetJSPG database using the createdb command:

createdb SheetJSPG

createdb supports the same -h, -p, and -U flags as dropdb.

Connector Test

3. Create a project folder:

mkdir sheetjs-pg
cd sheetjs-pg
npm init -y

4. Install the pg connector module:

npm i --save [email protected]

5. Save the following example codeblock to PGTest.js:

PGTest.js

const pg = require("pg");
const client = new pg.Client({
  database:"SheetJSPG",
  host: "127.0.0.1", // localhost
  port: 5432,
  //user: "",
  //password: ""
});
(async() => {

await client.connect();
const res = await client.query('SELECT $1::text as message', ['Hello world!']);
console.log(res.rows[0].message); // Hello world!
await client.end();

})();

6. Edit the new PGTest.js script and modify the highlighted lines from the codeblock to reflect the database deployment settings.

The settings in the codeblock match the default configuration for macOS Homebrew PostgreSQL server. For other deployments:

• If the server is not running on your computer, set host and port to the correct host name and port number.

• If the server expects a different username and password, uncomment the user and password lines and replace the values with the username and password.

7. Run the script:

node PGTest.js

It should print Hello world!

If the output is not Hello world! or if there is an error, please report the issue to the pg connector project for further diagnosis.

Add SheetJS

8. Install dependencies:

npm i --save https://cdn.sheetjs.com/xlsx-0.20.2/xlsx-0.20.2.tgz [email protected]

9. Download SheetJSPG.js:

curl -LO https://docs.sheetjs.com/postgresql/SheetJSPG.js

This script will:

• read and parse the test file pres.numbers
• create a connection to the SheetJSPG database on a local PostgreSQL server
• load data from the first worksheet into a table with name Presidents
• disconnect and reconnect to the database
• dump data from the table Presidents
• export the dataset to SheetJSPG.xlsx

10. Edit the SheetJSPG.js script.

The script defines an opts object:

SheetJSPG.js (configuration lines)

const XLSX = require("xlsx");
const opts = {
  database:"SheetJSPG",
  host: "127.0.0.1", // localhost
  port: 5432,
  //user: "",
  //password: ""
};

The settings in the codeblock match the default configuration for macOS Homebrew PostgreSQL server. For other deployments:

• If the server is not running on your computer, set host and port to the correct host name and port number.

• If the server expects a different username and password, uncomment the user and password lines and replace the values with the username and password.

11. Fetch the example file pres.numbers:

curl -L -O https://docs.sheetjs.com/pres.numbers

12. Run the script:

node SheetJSPG.js

13. Verify the result:

• SheetJSPGExport.xlsx can be opened in a spreadsheet app or tested in the terminal

npx xlsx-cli SheetJSPGExport.xlsx

• The database server can be queried using the psql command line tool.

If the server is running locally, the command will be:

psql SheetJSPG -c 'SELECT * FROM "Presidents";'

psql supports the same -h, -p, and -U flags as dropdb and createdb.

Footnotes

1. See the official pg website for more info. ↩

2. See json_to_sheet in "Utilities" ↩

3. See "Sheet Objects" in "SheetJS Data Model" for more details. ↩

4. See "Workbook Helpers" in "Utilities" for details on book_new and book_append_sheet. ↩

5. See writeFile in "Writing Files" ↩

6. See sheet_to_json in "Utilities" ↩

7. The pg-format package is available on the public NPM registry. Even though the project is marked as deprecated, the official pg website still recommends pg-format ↩