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US 20100161584A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2010/0161584 A1 (43) Pub. Date: Sindbad et al. (54) PARENTHOOD QUERY INDEXING FOR 10/462,019, ?led on Jun.
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How to fill out parent-child query indexing for

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How to fill out parent-child query indexing for:

01
Determine the parent-child relationship: Identify the entities that have a parent-child relationship in your data. This could be a hierarchical structure like categories and subcategories or a one-to-many relationship like a product and its reviews.
02
Design the schema: Create a schema that represents the parent-child relationship. Define the parent and child fields in your index mapping. This will ensure that the documents are indexed and processed correctly.
03
Index the parent documents: Start by indexing the parent documents. Include all the relevant information for each parent document. This could be metadata, attributes, or any other information that is valuable for your search queries.
04
Index the child documents: Once the parent documents are indexed, move on to indexing the child documents. Make sure to include the necessary fields that establish the relationship with their respective parent documents. This could be an ID or a reference field.
05
Establish the parent-child relationship: Link the child documents to their parent documents using the appropriate field. This will create the parent-child relationship in your index.
06
Perform queries: Now that the parent-child relationship is established, you can perform queries that traverse the relationship. For example, you can search for all the child documents belonging to a specific parent document or vice versa.

Who needs parent-child query indexing for:

01
E-commerce websites: Online stores often have a hierarchical structure for their products. Parent-child query indexing can be used to efficiently search and filter products based on their categories, subcategories, and attributes.
02
Content management systems: CMS platforms that manage large amounts of structured content can benefit from parent-child query indexing. This allows for flexible querying and organization of content, improving the search experience for users.
03
Knowledge bases and wikis: Platforms that host user-generated content, such as knowledge bases or wikis, often have a parent-child relationship between articles or pages. Parent-child query indexing can help users navigate through the content and retrieve relevant information more effectively.
In conclusion, anyone who deals with data that has a parent-child relationship can benefit from using parent-child query indexing. It provides a structured and efficient way to organize, search, and retrieve data based on the relationships between documents.
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Parent-child query indexing is used to establish relationships between parent and child documents in a database, making it easier to retrieve related data.
Any organization or individual working with a database that requires establishing relationships between parent and child documents.
Parent-child query indexing is typically filled out by specifying the parent document ID and the child document IDs in a structured format.
The purpose of parent-child query indexing is to streamline data retrieval and maintain data integrity by organizing related documents.
The parent document ID, child document IDs, and any relevant metadata or attributes linking the parent and child documents.
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