Symfony exercise: A Many to Many relations backend and large dataset (.csv) import Command.


  • Build with Symfony the needed entities that could represent the following database model:
    • Films
      • Title
      • Publishing date
      • Genre(s)
      • Duration
      • Production company
      • Actor(s)
        • Name
        • Birthdate
        • Born place
        • Died date
      • Director(s)
        • Name
        • Birthdate

  • Build Easyadmin controller to view Films data.
    • It must include a simple search (no filters needed) for relevant data for the user.
    • Visual aspect is not relevant, native styles from Easyadmin are enough.

  • Build Easyadmin controller to view and edit Actors and Directors data.
    • It must include a simple search (no filters needed) for relevant data for the user.
    • Visual aspect is not relevant, native styles from Easyadmin are enough.

Solution proposed:

Notes about this proposal:

This exercise is intended to test Symfony capabilities creating CRUD controllers and commands. This is why almost all the code is oriented to work under a Symfony, doctrine and provided CrudControllers methods approach.

To gain some performance and limit RAM consuming as much as possible we decided to chunk the large .csv dataset provided in smaller parts and create temp files to store dependencies found in the file. This will create a huge number of small files under project’s var/temp directory (hopefully if it works fine it will self clean at completion). These small files are easier to manage by the command instead of trying to manage the big one provided.

We have also set a 256Mb RAM max limit and disabled SQLLogger in the command __constructor() for performance optimization.

At database level there are a couple of indexes created by ORM annotations, but query performance on the backend should be configured at server level using a cache driver as APC, memcache, etc.

Although using this approach we have decent times importing the whole dataset (84k+ films and 34k+/400k+ directors/actors relations in about 15-20 minutes) we’d rather use a different approach for a production service, maybe using native database tools to import the data (e.g. using LOAD DATA LOCAL INFILE if using MySQL…)

~/imdb-easyadmin$ time symfony console app:import-films IMDbMovies.csv -q

real    19m995s
user    6m42.244s
sys    5m31.211s

(*) Without the -q option, the command will output visual progress to the console, leading in higher (but reasonable) execution times.

The command is tested against without relevant advices:

~/imdb-easyadmin$ blackfire run symfony console app:import-films IMDbMovies.csv

Blackfire run completed
No tests!             Create some now
No recommendations

Memory        158MB
Wall Time 25min 18s
Network         n/a     n/a     n/a
SQL             n/a     n/a

(*) Execution time and RAM consumed are increased by the blackfire command itself.


The code proposed is tested against a development environment (i5/4cores + 16Gb RAM) running Ubuntu 20.04 with php 8.0 and MariaDB 10.3 with InnoDB storage engine locally installed. Also as requirement, we will need composer and Symfony cli.

~/imdb-easyadmin$ php -v
PHP 8.0.13 (cli) (built: Nov 22 2021 09:50:43) ( NTS )
Copyright (c) The PHP Group
Zend Engine v4.0.13, Copyright (c) Zend Technologies
    with Zend OPcache v8.0.13, Copyright (c), by Zend Technologies

~/imdb-easyadmin$ mysql -V
mysql  Ver 15.1 Distrib 10.3.32-MariaDB, for debian-linux-gnu (x86_64) using readline 5.2

~/imdb-easyadmin$ composer -V
Composer version 2.1.14 2021-11-30 10:51:43

~/imdb-easyadmin$ symfony -V
Symfony CLI version v4.26.10 (2021-12-05T15:14:13+0000 - stable)

For convenience, we provide a docker-compose configuration file with MySQL (latest) and Adminer for testing purposes.

Warning using docker images provided

Docker configuration files are provided with default configuration options. They are not recommended for testing large database imports as they lack of any performance optimization.

If you decide to test them we will use a Mysql latest | docker image to persist data and Adminer 4.8 to manage the DB. Both are installed and run with docker-compose:

docker-compose -f docker-compose.mysql.yml up

Project installation


Versions used:

Clone the project and install dependencies:

git clone
cd imdb-easyadmin
composer install

Set DB config and credentials on .env file

DATABASE_URL="mysql://root:[email protected]:3306/imdb?serverVersion=8.0"

DATABASE_URL="mysql://root:[email protected]:3306/imdb?serverVersion=mariadb-10.3.32"

(*) If using MariaDb you must prefix serverVersion with mariadb-

Create database (if not created yet):

symfony console doctrine:database:create

Doctrine migrate schema:

symfony console doctrine:migrations:migrate

If using Adminer you could manage created DB:

  • user: root
  • password: example
  • DDBB: imdb

Start Easyadmin backend:

symfony server:start

Access Easyadmin backend:

Import command

symfony console app:import-films -h

Import films from csv to the IMDB entities database

app:import-films [options] [--] <file>

file                  Path to the .csv file to import

-u, --update          Update films data and relations. By default the command will import the whole dataset, truncating previously stored data.
-t, --test            For testing purposes, limit dataset to 1000 rows.
-h, --help            Display help for the given command. When no command is given display help for the list command
-q, --quiet           Do not output any message
-V, --version         Display this application version
--ansi|--no-ansi  Force (or disable --no-ansi) ANSI output
-n, --no-interaction  Do not ask any interactive question
-e, --env=ENV         The Environment name. [default: "dev"]
--no-debug        Switch off debug mode.
-v|vv|vvv, --verbose  Increase the verbosity of messages: 1 for normal output, 2 for more verbose output and 3 for debug


Truncate films and relations and import whole .csv file:

symfony console app:import-films IMDbMovies.csv

Step 1
 85999/85999 [============================] 100% 4 mins/4 mins 36.0 MiB -- Creating films and dependencies files from IMDbMovies.csv

Step 2
 34708/34708 [============================] 100%  1 min/1 min  46.0 MiB -- Importing directors from IMDbMovies.csv

Step 3
 417321/417321 [============================] 100% 14 mins/14 mins 96.0 MiB -- Importing actors from IMDbMovies.csv.

 [OK] 85857 films imported.

Cleaning temp files, please wait a moment...

Update films and relations (be careful, huge time-consuming on large datasets):

symfony console app:import-films IMDbMovies.csv -u -t

Por Luismi Sanchez

Full Stack Developer

Deja una respuesta

Tu dirección de correo electrónico no será publicada.

Este sitio usa Akismet para reducir el spam. Aprende cómo se procesan los datos de tus comentarios.