Central Index Definition

Our approach starts with the central definition of indexes and fields.

This allows you to think about your data first

• what entities/types do you have?
• what information is needed for search, what do you want to find?
• how does people search for your data?
• what type of information is in your database-columns?
• is normalization needed?
• what about different languages?

As soon as you have a starting set of assumptions or requirements, you define your index and fields. In Elasticsearch this is named mapping definition. picturesafe-search helps you by a streamlined definition based approach, converting to mapping definitions under the hood.

With this information (in configuration or in the accelerator app) your index/indices can be created.

Learn more about FieldConfiguration

…used by Data Ingest

When you ingest data, the given definitions will help Elasticsearch interpret the data in a defined way. This is especially helpful to force type integrity.

Learn more about Indexing

… used by Query and Aggregations

Later, when you create queries, you can concentrate on the requirements - what to search and who to search. picturesafe-search will combine this with the knowledge provided by the index and field definitions to create effective and correct Elasticsearch queries.

Learn more about Searching

Choose your integration approach

Spring configuration