Today we continue the conversation about migration dependencies with a hierarchical taxonomy terms example. Along the way, we will present the process and syntax for migrating into multivalue fields. The example consists of two separate migrations. One to import taxonomy terms accounting for term hierarchy. And another to import into a multivalue taxonomy term field. Following this approach, any node and taxonomy term created by the migration process will be removed from the system upon rollback.
Getting the code
You can get the full code example at https://github.com/dinarcon/ud_migrations The module to enable is
UD multivalue taxonomy terms whose machine name is
ud_migrations_multivalue_terms. The two migrations to execute are
udm_dependencies_multivalue_node. Notice that both migrations belong to the same module. Refer to this article to learn where the module should be placed.
The example assumes Drupal was installed using the
standard installation profile. Particularly, a Tags (
tags) taxonomy vocabulary, an Article (
article) content type, and a Tags (
field_tags) field that accepts multiple values. The words in parenthesis represent the machine name of each element.
Migrating taxonomy terms and their hierarchy
The example data for the taxonomy terms migration is fruits and fruit varieties. Each row will contain the name and description of the fruit. Additionally, it is possible to define a parent term to establish hierarchy. For example, “Red grape” is a child of “Grape”. Note that no numerical identifier is provided. Instead, the value of the
name is used as a
string identifier for the migration. If term names could change over time, it is recommended to have another column that did not change (e.g., an autoincrementing number). The following snippet shows how the source section is configured:
source: plugin: embedded_data data_rows: - fruit_name: 'Grape' fruit_description: 'Eat fresh or prepare some jelly.' - fruit_name: 'Red grape' fruit_description: 'Sweet grape' fruit_parent: 'Grape' - fruit_name: 'Pear' fruit_description: 'Eat fresh or prepare a jam.' ids: fruit_name: type: string
The destination is quite short. The target entity is set to taxonomy terms. Additionally, you indicate which vocabulary to migrate into. If you have terms that would be stored in different vocabularies, you can use the
vid property in the process section to assign the target vocabulary. If you write to a single one, the
default_bundle key in the destination can be used instead. The following snippet shows how the destination section is configured:
destination: plugin: 'entity:taxonomy_term' default_bundle: tags
For the process section, three entity properties are set: name, description, and parent. The first two are strings copied directly from the source. In the case of
parent, it is an entity reference to another taxonomy term. It stores the taxonomy term id (
tid) of the parent term. To assign its value, the
migration_lookup plugin is configured similar to the previous example. The difference is that, in this case, the migration to reference is the same one being defined. This sets an important consideration. Parent terms should be migrated before their children. This way, they can be found by the lookup operation. Also note that the lookup value is the term name itself, because that is what this migration set as the unique identifier in the source section. The following snippet shows how the process section is configured:
process: name: fruit_name description: fruit_description parent: plugin: migration_lookup migration: udm_dependencies_multivalue_term source: fruit_parent
Technical note: The taxonomy term entity contains other properties you can write to. For a list of available options check the baseFieldDefinitions() method of the Term class defining the entity. Note that more properties can be available up in the class hierarchy.
Migrating multivalue taxonomy terms fields
The next step is to create a node migration that can write to a multivalue taxonomy term field. To stay on point, only one more field will be set: the title, which is required by the node entity. Read this change record for more information on how the Migrate API processes Entity API validation. The following snippet shows how the source section is configured for the node migration:
source: plugin: embedded_data data_rows: - unique_id: 1 thoughtful_title: 'Amazing recipe' fruit_list: 'Green apple, Banana, Pear' - unique_id: 2 thoughtful_title: 'Fruit-less recipe' ids: unique_id: type: integer
fruits column contains a comma separated list of taxonomies to apply. Note that the values match the unique identifiers of the taxonomy term migration. If you had used numbers as migration identifiers there, you would have to use those numbers in this migration to refer to the terms. An example of that was presented in the previous post. Also note that there is one record that has no terms associated. This will be considered during the field mapping. The following snippet shows how the process section is configured for the node migration:
process: title: thoughtful_title field_tags: - plugin: skip_on_empty source: fruit_list method: process message: 'No fruit_list listed.' - plugin: explode delimiter: ',' - plugin: migration_lookup migration: udm_dependencies_multivalue_term
The title of the node is a verbatim copy of the
thoughtful_title column. The Tags fields, mapped using its machine name
field_tags, uses three chained process plugins. The
skip_on_empty plugin reads the value of the
fruit_list column and skips the processing of this field if no value is provided. This is done to accommodate the fact that some records in the source do not specify tags. Note that the
method configuration key is set to
process. This indicates that only this field should be skipped and not the entire record. Ultimately, tags are optional in this context and nodes should still be imported even if no tag is associated.
explode plugin allows you to break a string into an array, using a
delimiter to determine where to make the cut. Later, this array is passed to the
migration_lookup plugin specifying the term migration as the one to use for the lookup operation. Again, the taxonomy term names are used here because they are the unique identifiers of the term migration. Note that neither of these plugins has a
source configuration. This is because when process plugins are chained, the result of one plugin is sent as source to be transformed by the next one in line. The end result is an array of taxonomy term ids that will be assigned to
migration_lookup is able to process single values and arrays.
The last part of the migration is specifying the process section and any dependencies. Refer to this article for more details on setting migration dependencies. The following snippet shows how both are configured for the node migration:
destination: plugin: 'entity:node' default_bundle: article migration_dependencies: required: - udm_dependencies_multivalue_term optional: 
More syntactic sugar
One way to set multivalue fields in Drupal migrations is assigning its value to an array. Another option is to set each value manually using field deltas. Deltas are integer numbers starting with zero (0) and incrementing by one (1) for each element of a multivalue field. Although you could set any delta in the Migrate API, consider the field definition in Drupal. It is possible that limits had been set to the number of values a field could hold. You can specify deltas and subfields at the same time. The full syntax is
field_name/field_delta/subfield. The following example shows the syntax for a multivalue image field:
process: field_photos/0/target_id: source_fid_first field_photos/0/alt: source_alt_first field_photos/1/target_id: source_fid_second field_photos/1/alt: source_alt_second field_photos/2/target_id: source_fid_third field_photos/2/alt: source_alt_third
Manually setting a multivalue field is less flexible and error-prone. In today’s example, we showed how to accommodate for the list of terms not being provided. Imagine having to that for each delta and subfield combination, but the functionality is there in case you need it. In the end, Drupal offers more syntactic sugar so you can write shorted field mappings. Additionally, there are various process plugins that can handle arrays for setting multivalue fields.
Note: There are other ways to migrate multivalue fields. For example, when using the
entity_generate plugin provided by Migrate Plus, there is no need to create a separate taxonomy term migration. This plugin is able to create the terms on the fly while running the import process. The caveat is that terms created this way are not deleted upon rollback.
What did you learn in today’s blog post? Have you ever done a taxonomy term migration before? Were you aware of how to migrate hierarchical entities? Did you know you can manually import multivalue fields using deltas? Please share your answers in the comments. Also, I would be grateful if you shared this blog post with others.
This blog post series, cross-posted at UnderstandDrupal.com as well as here on Agaric.coop, is made possible thanks to these generous sponsors. Contact Understand Drupal if your organization would like to support this documentation project, whether the migration series or other topics.