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如何通过REST API执行Apache Ignite SQL查询及跨缓存关联查询

Great questions about Apache Ignite's REST API capabilities! Let's break down your two queries clearly:

1. Filtering Records by One or More POJO Field Values

Absolutely, you can filter records based on POJO field values using Ignite's REST API—you just need to leverage its SQL query support. Here's how it works:

  • First, ensure your POJOs are set up for SQL access: Annotate the fields you want to query with @QuerySqlField (add indexing if you need better performance for frequent queries). Alternatively, configure your cache with IndexedTypes to register the POJO classes and their queryable fields.
  • Use the REST API's sql or sql-query endpoint (depending on your Ignite version) to execute a SELECT statement with WHERE clauses targeting your POJO fields. For example, a POST request to http://<ignite-node>:8080/sql could include a body like:
    {
      "sql": "SELECT * FROM Person WHERE age > 30 AND department = 'Engineering'"
    }
    
    This will return all Person records matching those field value filters—no need to know the keys upfront.
2. Cross-Cache SQL Join Queries via REST API

Yes, Ignite supports cross-cache SQL joins through the REST API, as long as the related fields across your caches are properly configured for SQL:

  • Make sure the fields you want to join on are annotated with @QuerySqlField (index them too for smoother join performance) in their respective POJOs.
  • Reference the cache and POJO in your SQL query using the format <cache-name>.<pojo-class-name> (if you haven't set a SQL alias for the cache). For example, if you have a Person cache and an Order cache linked by a personId field, you could run a join query like this via REST:
    {
      "sql": "SELECT p.name, o.orderNumber FROM PersonCache.Person p JOIN OrderCache.Order o ON p.id = o.personId WHERE p.city = 'Chicago'"
    }
    
    The REST API will handle executing this distributed join across the caches and return the combined results.

Just a quick note: Ensure your Ignite cluster has SQL enabled (it's on by default in most setups) and that your caches are configured to support SQL operations.

内容的提问来源于stack exchange,提问作者Tarun Patel

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最近更新时间:2026.05.19 09:57:49