2020-04-08 14:13:33 +05:30
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---
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description: "Sometimes it is necessary to store large amounts of records at once, which can be inefficient
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when iterating collections and performing individual `save`s. With the arrival of `insert_all`
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in Rails 6, which operates at the row level (that is, using `Hash`es), GitLab has added a set
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of APIs that make it safe and simple to insert ActiveRecord objects in bulk."
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---
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# Insert into tables in batches
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Sometimes it is necessary to store large amounts of records at once, which can be inefficient
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when iterating collections and saving each record individually. With the arrival of
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[`insert_all`](https://apidock.com/rails/ActiveRecord/Persistence/ClassMethods/insert_all)
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in Rails 6, which operates at the row level (that is, using `Hash` objects), GitLab has added a set
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of APIs that make it safe and simple to insert `ActiveRecord` objects in bulk.
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## Prepare `ApplicationRecord`s for bulk insertion
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In order for a model class to take advantage of the bulk insertion API, it has to include the
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`BulkInsertSafe` concern first:
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```ruby
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class MyModel < ApplicationRecord
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# other includes here
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# ...
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include BulkInsertSafe # include this last
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# ...
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end
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```
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The `BulkInsertSafe` concern has two functions:
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- It performs checks against your model class to ensure that it does not use ActiveRecord
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APIs that are not safe to use with respect to bulk insertions (more on that below).
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- It adds new class methods `bulk_insert!` and `bulk_upsert!`, which you can use to insert many records at once.
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## Insert records with `bulk_insert!` and `bulk_upsert!`
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If the target class passes the checks performed by `BulkInsertSafe`, you can insert an array of
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ActiveRecord model objects as follows:
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```ruby
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records = [MyModel.new, ...]
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MyModel.bulk_insert!(records)
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```
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Note that calls to `bulk_insert!` will always attempt to insert _new records_. If instead
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you would like to replace existing records with new values, while still inserting those
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that do not already exist, then you can use `bulk_upsert!`:
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```ruby
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records = [MyModel.new, existing_model, ...]
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MyModel.bulk_upsert!(records, unique_by: [:name])
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```
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In this example, `unique_by` specifies the columns by which records are considered to be
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unique and as such will be updated if they existed prior to insertion. For example, if
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`existing_model` has a `name` attribute, and if a record with the same `name` value already
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exists, its fields will be updated with those of `existing_model`.
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The `unique_by` parameter can also be passed as a `Symbol`, in which case it specifies
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a database index by which a column is considered unique:
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```ruby
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MyModel.bulk_insert!(records, unique_by: :index_on_name)
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```
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### Record validation
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The `bulk_insert!` method guarantees that `records` will be inserted transactionally, and
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will run validations on each record prior to insertion. If any record fails to validate,
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an error is raised and the transaction is rolled back. You can turn off validations via
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the `:validate` option:
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```ruby
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MyModel.bulk_insert!(records, validate: false)
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```
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### Batch size configuration
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In those cases where the number of `records` is above a given threshold, insertions will
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occur in multiple batches. The default batch size is defined in
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[`BulkInsertSafe::DEFAULT_BATCH_SIZE`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/app/models/concerns/bulk_insert_safe.rb).
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Assuming a default threshold of 500, inserting 950 records
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would result in two batches being written sequentially (of size 500 and 450 respectively.)
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You can override the default batch size via the `:batch_size` option:
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```ruby
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MyModel.bulk_insert!(records, batch_size: 100)
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```
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Assuming the same number of 950 records, this would result in 10 batches being written instead.
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Since this will also affect the number of `INSERT`s that occur, make sure you measure the
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performance impact this might have on your code. There is a trade-off between the number of
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`INSERT` statements the database has to process and the size and cost of each `INSERT`.
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### Handling duplicate records
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NOTE: **Note:**
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This parameter applies only to `bulk_insert!`. If you intend to update existing
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records, use `bulk_upsert!` instead.
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It may happen that some records you are trying to insert already exist, which would result in
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primary key conflicts. There are two ways to address this problem: failing fast by raising an
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error or skipping duplicate records. The default behavior of `bulk_insert!` is to fail fast
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and raise an `ActiveRecord::RecordNotUnique` error.
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If this is undesirable, you can instead skip duplicate records with the `skip_duplicates` flag:
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```ruby
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MyModel.bulk_insert!(records, skip_duplicates: true)
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```
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### Requirements for safe bulk insertions
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Large parts of ActiveRecord's persistence API are built around the notion of callbacks. Many
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of these callbacks fire in response to model life cycle events such as `save` or `create`.
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These callbacks cannot be used with bulk insertions, since they are meant to be called for
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every instance that is saved or created. Since these events do not fire when
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records are inserted in bulk, we currently disallow their use.
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The specifics around which callbacks are disallowed are defined in
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[`BulkInsertSafe`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/app/models/concerns/bulk_insert_safe.rb).
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Consult the module source code for details. If your class uses any of the blacklisted
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functionality, and you `include BulkInsertSafe`, the application will fail with an error.
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### `BulkInsertSafe` versus `InsertAll`
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Internally, `BulkInsertSafe` is based on `InsertAll`, and you may wonder when to choose
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the former over the latter. To help you make the decision,
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the key differences between these classes are listed in the table below.
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| | Input type | Validates input | Specify batch size | Can bypass callbacks | Transactional |
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|--------------- | -------------------- | --------------- | ------------------ | --------------------------------- | ------------- |
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| `bulk_insert!` | ActiveRecord objects | Yes (optional) | Yes (optional) | No (prevents unsafe callback use) | Yes |
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| `insert_all!` | Attribute hashes | No | No | Yes | Yes |
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To summarize, `BulkInsertSafe` moves bulk inserts closer to how ActiveRecord objects
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and inserts would normally behave. However, if all you need is to insert raw data in bulk, then
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`insert_all` is more efficient.
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## Insert `has_many` associations in bulk
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A common use case is to save collections of associated relations through the owner side of the relation,
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where the owned relation is associated to the owner through the `has_many` class method:
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```ruby
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owner = OwnerModel.new(owned_relations: array_of_owned_relations)
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# saves all `owned_relations` one-by-one
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owner.save!
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```
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This will issue a single `INSERT`, and transaction, for every record in `owned_relations`, which is inefficient if
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`array_of_owned_relations` is large. To remedy this, the `BulkInsertableAssociations` concern can be
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used to declare that the owner defines associations that are safe for bulk insertion:
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```ruby
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class OwnerModel < ApplicationRecord
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# other includes here
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# ...
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include BulkInsertableAssociations # include this last
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has_many :my_models
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end
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```
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Here `my_models` must be declared `BulkInsertSafe` (as described previously) for bulk insertions
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to happen. You can now insert any yet unsaved records as follows:
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```ruby
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BulkInsertableAssociations.with_bulk_insert do
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owner = OwnerModel.new(my_models: array_of_my_model_instances)
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# saves `my_models` using a single bulk insert (possibly via multiple batches)
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owner.save!
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end
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```
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Note that you can still save relations that are not `BulkInsertSafe` in this block; they will
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simply be treated as if you had invoked `save` from outside the block.
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## Known limitations
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There are a few restrictions to how these APIs can be used:
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2020-04-22 19:07:51 +05:30
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- `BulkInsertableAssociations`:
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- It is currently only compatible with `has_many` relations.
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- It does not yet support `has_many through: ...` relations.
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2020-04-08 14:13:33 +05:30
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- Writing [`jsonb`](https://www.postgresql.org/docs/current/datatype-json.html) content is
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[not currently supported](https://gitlab.com/gitlab-org/gitlab/-/issues/210560).
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Moreover, input data should either be limited to around 1000 records at most,
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or already batched prior to calling bulk insert. The `INSERT` statement will run in a single
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transaction, so for large amounts of records it may negatively affect database stability.
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