This page contains information for performance optimization.
On servers where a large amount of data will be ingested, the following considerations may be helpful:
Optimize your database thread pool count and HTTP client thread count: Every environment will have a different optimal setting for the number of concurrent writes that are permitted, and the maximum number of database connections allowed.
Disable deletes: If the JPA server is configured to have the FHIR delete operation disabled, it is able to skip some resource reference deletion checks during resource creation, which can have a measurable improvement to performance over large datasets.
On servers storing large numbers of Codings and CodeableConcepts (as well as any other token SearchParameter target where the :text modifier is supported), the indexes required to support the :text modifier can consume a large amount of index space, and cause a measurable impact on write times.
This modifier can be disabled globally by using the ModelConfig#setSuppressStringIndexingInTokens setting.
It can also be disabled at a more granular level (or selectively re-enabled if it disabled globally) by using an extension on individual SearchParameter resources. For example, the following SearchParameter disables text indexing on the Observation:code parameter:
{
"resourceType": "SearchParameter",
"id": "observation-code",
"extension": [ {
"url": "http://hapifhir.io/fhir/StructureDefinition/searchparameter-token-suppress-text-index",
"valueBoolean": true
} ],
"status": "active",
"code": "code",
"base": [ "Observation" ],
"type": "token",
"expression": "Observation.code"
}