pg-query

Import your Postgres-flavored .sql queries and run them in Node.

Install

npm install @mmckelvy/pg-query

Usage

Create a node-postgres query config object from a .sql file.

Assume you have an .sql file called query.sql with the following query:

select
  first_name,
  last_name
from my_table
where first_name = :firstName and last_name = :lastName;

:firstName and :lastName are variables that you can set with psql using the \set command, or in our case, you can subsitute with dynamic values from your Node app at runtime:

const { createQuery } = require('@mmckelvy/pg-query');

const q = await createQuery({
  // assumes query.sql is in the same directory
  sql: `${__dirname/query.sql}`,
  values: {firstName: 'John', lastName: 'Smith'},
});

console.log(q);
/*
{
  text: `select first_name, last_name from my_table where first_name = $1 and last_name = $2;`,
  values: ['John', 'Smith']
}
*/

Usually you'll want to use the result of createQuery directly with node-postgres pool.query or client.query methods to actually execute a Postgres query. pg-query provides a query method that does exactly that. Just pass in the pool object from node-postgres in addition to the sql and values params:

const { query } = require('@mmckelvy/pg-query');
const pool = require('./path-to-your-pool-instance');

const { rows } = await query({
  pool,
  sql: `${__dirname}/get-user.sql`,
  values: {lastName: 'Smith'},
});

console.log(rows);
/*
[
  {first_name: 'Joe', last_name: 'Smith'}
]
*/

Handling undefined / optional values

Sometimes you'll want to use values that may or may not be present (i.e. they will be undefined) in your queries. This typically happens when you have optional fields for inserts or dynamic filter parameters for where clauses. To handle these potentially undefined fields, pg-query gives you the option to convert them to null or default. Just pass in the appropriate option like so:

const { createQuery } = require('@mmckelvy/pg-query');

const q = await createQuery({
  sql: `${__dirname/query.sql}`,
  values: {firstName: 'John', lastName: 'Smith'},
  convertUndefined: 'toNull' // converts any undefined values to null
});

const x = await createQuery({
  sql: `${__dirname/query.sql}`,
  values: {firstName: 'John', lastName: 'Smith'},
  convertUndefined: 'toDefault' // converts any undefined values to 'default'
});

If you don't pass anything for convertUndefined, toNull will be used.

Convenience functions

Simple inserts and updates are common sql operations that often have optional column values. Optional column values can be cumbersome to handle in plain sql, so pg-query provides convenience functions to help you deal with these situations:

1. createInsert - Generate properly escaped insert statements.
2. createUpdate - Generate properly escaped update statements.
3. insert - Generate and execute properly escaped insert statements.
4. update - Generate and execute properly escaped update statements.

createInsert:

const { createInsert } = require('@mmckelvy/pg-query');

// Note this function is not async so no await required.
const q = createInsert({
  table: 'user_account',
  values: {firstName: 'Jim', lastName: 'Jenkins'}
});

console.log(q);
/*
{
  text: `
    insert into user_account (first_name, last_name)
    values ('Jim', 'Jenkins')
    returning *;
  `
}
*/

// Works for bulk inserts as well
const q = createInsert({
  table: 'user_account',
  values: [
    {
      firstName: 'Jim',
      lastName: 'Jenkins'
    },
    {
      firstName: 'Leroy',
      lastName: 'Smith'
    },
  ]
});

console.log(q);
/*
{
  text: `
    insert into user_account (first_name, last_name)
    values
      ('Jim', 'Jenkins'),
      ('Leroy', 'Smith')
    returning *;
  `
}
*/

createUpdate:

const { createUpdate } = require('@mmckelvy/pg-query');

// Note this function is not async so no await required.
const q = createUpdate({
  table: 'user_account',
  values: {firstName: 'Bob', lastName: 'Johnson'},
  where: {userAccountId: 1}
});

console.log(q);
/*
{
  text: `
    update user_account set
      first_name = 'Bob',
      last_name = 'Johnson'
    where user_account_id = 1
    returning *;
  `
}
*/

The insert and update convenience functions simply take the output of createInsert and createUpdate respectively, and execute the queries using node-pg:

const { insert, update } = require('@mmckelvy/pg-query');
const pool = require('./path-to-your-pool-instance');

const userAccounts = await insert({
  pool,
  table: 'user_account',
  values: [
    {firstName: 'Jim', lastName: 'Jenkins'},
    {firstName: 'Leroy', lastName: 'Smith'},
    {lastName: 'Jensen', firstName: 'Don'},
  ],
  transform: true
});

console.log(userAccounts);

/*
[
  {firstName: 'Jim', lastName: 'Jenkins'},
  {firstName: 'Leroy', lastName: 'Smith'},
  {firstName: 'Don', lastName: 'Jensen'},
];
*/

const updatedUserAccount = await update({
  pool,
  table: 'user_account',
  values: {firstName: 'Bob', lastName: 'Johnson'},
  where: {userAccountId: 1},
  transform: true
});

console.log(updatedUserAccount);
/*
[
  {userAccountId: 1, firstName: 'Bob', lastName: 'Johnson'}
];
*/

Transforming output

When using the functions that execute queries (query, insert, update), the default output is what you get from node-pg, e.g.:

{
  rows: [
    {first_name: 'John', last_name: 'Smith'}
  ],
  fields: [...],
  _parsers: [...],
  command: ...
  // ...etc.
}

Chances are you want to make some adjustments before you consume this output. If that's the case, pg-query provides transform and transformFn options to query, insert, and update. Setting transform to true will return the rows key (usually the only thing in which you'll be interested) and camelCase the keys of each column name (recursively) on the way out:

const userAccounts = await query({
  pool,
  sql: `${__dirname}/query.sql`,
  values: {firstName: 'John', lastName: 'Smith'},
  transform: true
});

console.log(userAccounts);

/*
[
  {firstName: 'Joe', lastName: 'Smith'}
]
*/

You can also pass your own transformFn if you'd like to do something different with the results:

const userAccounts = await query({
  pool,
  sql: `${__dirname}/query.sql`,
  values: {firstName: 'John', lastName: 'Smith'},
  transform: true,
  // Just return the rows without camelCasing the keys.
  transformFn: (results) => results.rows
});

console.log(userAccounts);

/*
[
  {first_name: 'Joe', last_name: 'Smith'}
]
*/

API

async createQuery({ sql, values, convertUndefined })

sql string

An absolute path to the .sql file with your query. It's generally easiest to put your .sql files in the same directory as the .js file where you'll be calling createQuery.

values object

An object with keys that map to variable names in your .sql files.

convertUndefined string

How to treat undefined values in the sql string. Pass 'toNull' to convert undefined values to null and 'toDefault' to convert undefined values to 'default'.

return object

A node-postgres query config object with text and values keys. text will be in parameterized query form and the values will be in a corresponding array.

async query({ pool?, client?, sql, values, convertUndefined, transform, transformFn })

Same params as createQuery, with the addition of pool, which is an instance of node-postgres Pool, and client, which is a client from the pool (you will only be using pool or client but not both for any given query).

query also adds two transform params:

transform boolean

Whether or not to transform the node-pg output. If set to true and transformFn is not supplied, pg-query will use the built-in transform which will return the rows property and recursively camelCase all column keys.

Defaults to false.

transformFn function

A custom transform function to be applied to the node-pg results. Signature is (results) => transformedResults.

Note that the transform property must also be set to true for the transformFn to apply.

return object or results of transform function

Returns the result of the query.

createInsert({ table, values })

table string

The target table for the insert. The argument passed for table will be snake_cased automatically.

values object or array of objects

The row or rows you want to insert. Object keys should correspond to column names and values should correspond to column values. All columns names will automatically be snake_cased.

return object

A node-postgres query config object with a text key. The values will be already included in the text string. All identifiers, literals, and values will be properly escaped.

createUpdate({ table, values, where })

table string

The target table for the update. The argument passed for table will be snake_cased automatically.

#values object

The columns you want to update. Keys should correspond to column names and values should correspond to column values. All columns names will automatically be snake_cased.

where object

An object used to build the where clause for the update. The key should be the column name and the value should be the filter value.

return object

A node-postgres query config object with a text key. The values will be already included in the text string. All identifiers, literals, and values will be properly escaped.

insert({ pool?, client?, table, values, transform, transformFn })

Same params as createInsert with the addition of pool, client, transform, and transformFn params, which operate the same as query.

Returns the output of a node-pg query or the output of a transform function.

update({ pool?, client?, table, values, where, transform, transformFn })

Same params as createUpdate with the addition of pool, client, transform, and transformFn params, which operate the same as query.

Returns the output of a node-pg query or the output of a transform function.

Test

Make sure you have Postgres installed on your machine and then run:

npm test