If database tables are small, there is not much engineering would require in terms of querying the database.
But often we work with tables that are too large in size and our simple query against the table would not work and break things.
This is where we need to write queries with little caution so that we don’t impact either the database or application layer.
This article discusses how to query a database table that is large in size and a simple SELECT query would return a result that is large in size and can blow up application memory.
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Spring Data JPA: Read Large Tables in Batches
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If database tables are small, there is not much engineering would require in terms of querying the database.
But often we work with tables that are too large in size and our simple query against the table would not work and break things.
This is where we need to write queries with little caution so that we don’t impact either the database or application layer.
This article discusses how to query a database table that is large in size and a simple SELECT query would return a result that is large in size and can blow up application memory.
https://asyncq.com/spring-data-jpa-read-large-tables-in-batches