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Seznamy Django Atomic Migration. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. This is known to work with postgresql. From django.db import migrations class migration(migrations.migration):

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If the block of code is successfully completed, the changes are committed to the database. From django.db import transaction @transaction.atomic def create_category(name, products): I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:

If the block of code is successfully completed, the changes are committed to the database.

This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. From django.db import migrations class migration(migrations.migration): Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. a series of database operations such that either all occur, or nothing occurs. If there is an exception, the … This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.

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From django.db import transaction @transaction.atomic def create_category(name, products): From django.db import transaction @transaction.atomic def create_category(name, products): It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed.. It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython.

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03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false:. This is known to work with postgresql. Within such a migration, all operations are run without a transaction.

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From django.db import migrations class migration(migrations.migration): Django provides a single api to control database transactions. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.

From django.db import migrations class migration(migrations.migration):.. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.. From django.db import migrations class migration(migrations.migration):

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From django.db import migrations class migration(migrations.migration): . Django provides a single api to control database transactions.

From django.db import migrations class migration(migrations.migration): If the block of code is successfully completed, the changes are committed to the database. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:. Applied to the above scenario, this can be applied as a decorator:.

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Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; Applied to the above scenario, this can be applied as a decorator:. From django.db import migrations class migration(migrations.migration): Atomic allows us to create a block of code within which the atomicity on the database is guaranteed... This is known to work with postgresql.

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Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction: This is known to work with postgresql. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. From django.db import transaction @transaction.atomic def create_category(name, products): That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. If there is an exception, the … From django.db import migrations class migration(migrations.migration): Applied to the above scenario, this can be applied as a decorator:. a series of database operations such that either all occur, or nothing occurs. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

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Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction: Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. From django.db import transaction @transaction.atomic def create_category(name, products):

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It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython.. From django.db import migrations class migration(migrations.migration): Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. If the block of code is successfully completed, the changes are committed to the database. This is known to work with postgresql. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. a series of database operations such that either all occur, or nothing occurs. Applied to the above scenario, this can be applied as a decorator:. This is known to work with postgresql. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false:. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like.

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I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Within such a migration, all operations are run without a transaction. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. This is known to work with postgresql. From django.db import transaction @transaction.atomic def create_category(name, products): The django.db.transaction module allows you to combine multiple database changes into an atomic transaction: From django.db import migrations class migration(migrations.migration): If there is an exception, the … This was already discussed on the django developers mailing list: From django.db import migrations class migration(migrations.migration): It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython.

If the block of code is successfully completed, the changes are committed to the database. Within such a migration, all operations are run without a transaction. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. From django.db import migrations class migration(migrations.migration): If there is an exception, the … 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: This is known to work with postgresql. Within such a migration, all operations are run without a transaction.

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Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. . This is known to work with postgresql.

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Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. From django.db import migrations class migration(migrations.migration): This was already discussed on the django developers mailing list: Within such a migration, all operations are run without a transaction. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. This is known to work with postgresql. Atomic migration steps for django.

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This is known to work with postgresql.. Applied to the above scenario, this can be applied as a decorator:. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. From django.db import migrations class migration(migrations.migration):. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like... 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: Atomic allows us to create a block of code within which the atomicity on the database is guaranteed.. a series of database operations such that either all occur, or nothing occurs.

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From django.db import migrations class migration(migrations.migration):.. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. Applied to the above scenario, this can be applied as a decorator:. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. Django provides a single api to control database transactions. This is known to work with postgresql. This was already discussed on the django developers mailing list: 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: a series of database operations such that either all occur, or nothing occurs. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. From django.db import migrations class migration(migrations.migration):. Django provides a single api to control database transactions.

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That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like... This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. Atomic migration steps for django. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. a series of database operations such that either all occur, or nothing occurs. From django.db import migrations class migration(migrations.migration): Within such a migration, all operations are run without a transaction. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. From django.db import transaction @transaction.atomic def create_category(name, products): Atomic migration steps for django.

It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. This is known to work with postgresql. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. Within such a migration, all operations are run without a transaction. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. This was already discussed on the django developers mailing list: Applied to the above scenario, this can be applied as a decorator:. From django.db import migrations class migration(migrations.migration): From django.db import migrations class migration(migrations.migration):. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into.

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Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:.. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.

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It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. This is known to work with postgresql. If the block of code is successfully completed, the changes are committed to the database. If there is an exception, the … I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Within such a migration, all operations are run without a transaction.. This is known to work with postgresql.

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a series of database operations such that either all occur, or nothing occurs. Within such a migration, all operations are run without a transaction. It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. From django.db import transaction @transaction.atomic def create_category(name, products): Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; a series of database operations such that either all occur, or nothing occurs. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. Atomic migration steps for django. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:.. Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations;

From django.db import migrations class migration(migrations.migration): That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like.. Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations;

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From django.db import migrations class migration(migrations.migration): If there is an exception, the ….. Applied to the above scenario, this can be applied as a decorator:.

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Atomic migration steps for django... This was already discussed on the django developers mailing list:

It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython.. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.

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This is known to work with postgresql... Applied to the above scenario, this can be applied as a decorator:. This was already discussed on the django developers mailing list: The django.db.transaction module allows you to combine multiple database changes into an atomic transaction: They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. From django.db import transaction @transaction.atomic def create_category(name, products): If the block of code is successfully completed, the changes are committed to the database. This is known to work with postgresql. Within such a migration, all operations are run without a transaction. From django.db import migrations class migration(migrations.migration): 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

Within such a migration, all operations are run without a transaction.. From django.db import migrations class migration(migrations.migration): It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. This was already discussed on the django developers mailing list:

Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema... Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; This is known to work with postgresql. This was already discussed on the django developers mailing list:. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like.

Atomic migration steps for django. .. From django.db import migrations class migration(migrations.migration):

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If the block of code is successfully completed, the changes are committed to the database... The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema.

Within such a migration, all operations are run without a transaction. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; Django provides a single api to control database transactions. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. From django.db import transaction @transaction.atomic def create_category(name, products): Atomic allows us to create a block of code within which the atomicity on the database is guaranteed.. Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations;

I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. Within such a migration, all operations are run without a transaction. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. From django.db import transaction @transaction.atomic def create_category(name, products): From django.db import migrations class migration(migrations.migration):. If there is an exception, the …

Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. This is known to work with postgresql. From django.db import migrations class migration(migrations.migration): Within such a migration, all operations are run without a transaction. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into... Atomic allows us to create a block of code within which the atomicity on the database is guaranteed.

Atomic migration steps for django... The django.db.transaction module allows you to combine multiple database changes into an atomic transaction: If there is an exception, the … Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. Atomic migration steps for django. Applied to the above scenario, this can be applied as a decorator:... From django.db import migrations class migration(migrations.migration):

Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. . This is known to work with postgresql.

I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. This was already discussed on the django developers mailing list: This is known to work with postgresql. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions... Within such a migration, all operations are run without a transaction.

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Django provides a single api to control database transactions. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. This is known to work with postgresql. This is known to work with postgresql. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: Within such a migration, all operations are run without a transaction. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; If there is an exception, the …. This is known to work with postgresql.

From django.db import migrations class migration(migrations.migration): It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. From django.db import transaction @transaction.atomic def create_category(name, products):.. If the block of code is successfully completed, the changes are committed to the database.

From django.db import migrations class migration(migrations.migration): From django.db import migrations class migration(migrations.migration): This is known to work with postgresql. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. a series of database operations such that either all occur, or nothing occurs. From django.db import transaction @transaction.atomic def create_category(name, products): 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. This is known to work with postgresql. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

a series of database operations such that either all occur, or nothing occurs.. This is known to work with postgresql. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations;

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That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. If the block of code is successfully completed, the changes are committed to the database. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. a series of database operations such that either all occur, or nothing occurs. They're designed to be mostly automatic, but you'll need to know when to make migrations, when to run them, and the common problems you might run into. From django.db import transaction @transaction.atomic def create_category(name, products): The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:. Applied to the above scenario, this can be applied as a decorator:.

If there is an exception, the …. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema. This was already discussed on the django developers mailing list:. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:.. If the block of code is successfully completed, the changes are committed to the database. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.. From django.db import transaction @transaction.atomic def create_category(name, products):

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03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. If the block of code is successfully completed, the changes are committed to the database. If there is an exception, the … Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. This was already discussed on the django developers mailing list: From django.db import migrations class migration(migrations.migration):

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This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.. Atomic migration steps for django. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:. Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations;

From django.db import transaction @transaction.atomic def create_category(name, products):.. If the block of code is successfully completed, the changes are committed to the database. Applied to the above scenario, this can be applied as a decorator:. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. a series of database operations such that either all occur, or nothing occurs. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. Atomic migration steps for django... From django.db import transaction @transaction.atomic def create_category(name, products):

I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:. Applied to the above scenario, this can be applied as a decorator:. Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. It's possible to execute parts of the migration inside a transaction using atomic () or by passing atomic=true to runpython. This is known to work with postgresql. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:.. If there is an exception, the …

This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions.. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: Django also uses these operation objects to work out what your models looked like historically, and to calculate what changes you've made to your models since the last migration so it can automatically write your migrations; Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions.

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Atomic migration steps for django. This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. From django.db import migrations class migration(migrations.migration): If there is an exception, the … This small package ensures that django's migration tracking model has an unique index for applied migrations, and also ensures that migrations steps are applied in transactions. 03.08.2018 · try adding `atomic = false` to the migration class.' ) % old_db_table) so, when you use in you migration file the line atomic = false: I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration:.. Migrations are django's way of propagating changes you make to your models (adding a field, deleting a model, etc.) into your database schema.

From django.db import transaction @transaction.atomic def create_category(name, products): . From django.db import migrations class migration(migrations.migration):

Atomic allows us to create a block of code within which the atomicity on the database is guaranteed. I propose exempting specific migrations from being wrapped in a transaction by setting atomic = false on the migration: Applied to the above scenario, this can be applied as a decorator:. Within such a migration, all operations are run without a transaction. This is known to work with postgresql. Atomic(using=none, savepoint=true, durable=false)¶ atomicity is the defining property of database transactions. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:

Applied to the above scenario, this can be applied as a decorator:.. That's why they're declarative, as it means django can easily load them all into memory and run through them without touching the database to work out what your project should look like. The django.db.transaction module allows you to combine multiple database changes into an atomic transaction:. Atomic migration steps for django.

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