How to Add Child Documents to Solr?

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To add child documents to Solr, you can use the block join function or the nested document structure. With block join, you create a parent document that contains child documents. This can be done by assigning a unique identifier to the parent document and a field that specifies the relationship between the parent and child documents.


Alternatively, you can use the nested document structure, where child documents are nested within a parent document. This can be achieved by defining a field as an array of nested documents.


Regardless of the method you choose, you need to ensure that your schema is configured correctly to support the parent-child relationship. Once you have set up your schema, you can add child documents by indexing them along with their parent document. This will allow you to search and retrieve parent and child documents together in Solr queries.


How to optimize Solr queries for retrieving child documents?

  1. Use the "join" parameter: When retrieving child documents in Solr, you can use the "join" parameter to fetch the child documents with a single query. This performs a join operation between the parent and child documents, making it more efficient than fetching them separately.
  2. Use block join queries: Block join queries in Solr can be used to retrieve child documents based on their parent document. This reduces the number of queries needed to fetch both parent and child documents.
  3. Limit the fields returned: When querying for child documents, only request the necessary fields to be returned in the response. This helps reduce the amount of data transferred between Solr and the client, improving query performance.
  4. Index child documents as nested documents: If your child documents are closely related to their parent documents, consider indexing them as nested documents within the parent document. This allows you to fetch both parent and child documents in a single query, rather than making separate queries for each.
  5. Use faceting and filtering: Utilize faceting and filtering in your queries to narrow down the search results and retrieve only the required child documents. This can help improve query performance by reducing the size of the result set.
  6. Optimize your schema and index settings: Make sure that your schema and index settings are optimized for fetching child documents efficiently. This includes properly defining the relationships between parent and child documents, choosing appropriate field types, and configuring the necessary indexing settings.


By following these best practices, you can optimize your Solr queries for retrieving child documents and improve the overall performance of your search application.


How to manage child documents in Solr collections?

Managing child documents in Solr collections involves using the parent-child functionality provided by Solr. Here are the steps to manage child documents in Solr collections:

  1. Define a parent field in your schema: Add a field to your schema that will define the parent-child relationship between documents. This field should be of type "plong" or "string".
  2. Index parent documents: When indexing parent documents, include the parent field that defines the relationship with child documents.
  3. Index child documents: When indexing child documents, include the parent field with the ID of the parent document to indicate the relationship.
  4. Querying parent-child documents: Use the "block join" functionality provided by Solr to query for parent-child documents. You can specify the parent field and the child fields you're interested in retrieving.
  5. Updating child documents: When updating child documents, make sure to include the parent field with the ID of the parent document to maintain the relationship.
  6. Deleting child documents: If you need to delete child documents, make sure to also delete the parent field mapping for those documents to ensure data integrity.


By following these steps, you can effectively manage child documents in Solr collections and retrieve them as needed using the parent-child functionality provided by Solr.


How to map parent-child relationships in Solr schema?

In Solr schema, parent-child relationships can be mapped using the block join query parser or the parent-child annotation technique.

  1. Block Join Query Parser:
  • Define a field in the schema to represent the parent-child relationship, such as a unique identifier for the parent document.
  • Use the block join query parser to query and retrieve parent and child documents based on the parent-child relationship.
  • When indexing documents, include the parent identifier field in the child documents to establish the relationship.


Example schema definition:

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<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false"/>
<field name="parent_id" type="string" indexed="true" stored="true" multiValued="false"/>

<dynamicField name="*_p" type="string" indexed="true" stored="true"/>


Query using block join query parser:

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q={!parent which="parent_id:*"}child_field:value


  1. Parent-Child Annotation Technique:
  • Define a field in the schema to represent the parent-child relationship, such as a unique identifier for the parent document.
  • Use the parent-child annotation technique to annotate parent and child documents with the parent-child relationship.
  • When indexing documents, include the parent identifier field in the child documents to establish the relationship.


Example schema definition:

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<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false"/>
<field name="parent_id" type="string" indexed="true" stored="true" multiValued="false"/>


Parent document annotation:

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<doc>
  <field name="id">parent1</field>
  <field name="type">parent</field>
  <field name="parent_id">NULL</field>
</doc>


Child document annotation:

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<doc>
  <field name="id">child1</field>
  <field name="type">child</field>
  <field name="parent_id">parent1</field>
</doc>


By mapping parent-child relationships in the Solr schema using either the block join query parser or the parent-child annotation technique, you can effectively manage and query parent-child relationships in your indexed data.


What is the performance impact of adding child documents in Solr?

Adding child documents in Solr can have a minor impact on performance, as the parent-child relationship needs to be maintained and indexed correctly within the Solr index. This can lead to additional processing and indexing time, as well as potentially increasing the index size.


However, the impact on performance is generally minimal if the parent-child relationship is configured efficiently and the index is optimized properly. In some cases, the use of child documents can actually improve performance by allowing for more complex and efficient querying of related data.


Overall, while there may be a small performance impact when adding child documents in Solr, the benefits of organizing and querying related data in a structured and efficient manner often outweigh any potential downsides. It is important to carefully consider and test the impact on performance in your specific use case to determine if the use of child documents is appropriate.

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