FHIR IG analytics| Package | org.sql-on-fhir.ig |
| Resource Type | CodeSystem |
| Id | CodeSystem-SQLDialectCodes.json |
| FHIR Version | R5 |
| Source | https://build.fhir.org/ig/FHIR/sql-on-fhir-v2/CodeSystem-SQLDialectCodes.html |
| URL | https://sql-on-fhir.org/ig/CodeSystem/SQLDialectCodes |
| Version | 2.1.0-pre |
| Status | draft |
| Date | 2026-02-04T07:56:19+00:00 |
| Name | SQLDialectCodes |
| Title | SQL Dialects Code System |
| Realm | uv |
| Description | SQL dialects |
| Content | complete |
| ValueSet | |
| AllSQLDialectCodes | All SQL Dialect Codes |
No resources found
Note: links and images are rebased to the (stated) source
Generated Narrative: CodeSystem SQLDialectCodes
This code system https://sql-on-fhir.org/ig/CodeSystem/SQLDialectCodes defines the following codes:
{
"resourceType": "CodeSystem",
"id": "SQLDialectCodes",
"text": {
"status": "generated",
"div": "<!-- snip (see above) -->"
},
"url": "https://sql-on-fhir.org/ig/CodeSystem/SQLDialectCodes",
"version": "2.1.0-pre",
"name": "SQLDialectCodes",
"title": "SQL Dialects Code System",
"status": "draft",
"date": "2026-02-04T07:56:19+00:00",
"publisher": "SQL on FHIR Working Group",
"contact": [
{
"name": "SQL on FHIR Working Group",
"telecom": [
{
"system": "url",
"value": "https://sql-on-fhir.org"
}
]
}
],
"description": "SQL dialects",
"jurisdiction": [
{
"coding": [
{
"system": "http://unstats.un.org/unsd/methods/m49/m49.htm",
"code": "001",
"display": "World"
}
]
}
],
"content": "complete",
"count": 22,
"concept": [
{
"code": "ansi-sql",
"display": "ANSI SQL",
"definition": "American National Standards Institute SQL standard"
},
{
"code": "bigquery",
"display": "BigQuery",
"definition": "Google BigQuery SQL dialect"
},
{
"code": "clickhouse",
"display": "ClickHouse",
"definition": "ClickHouse database SQL dialect"
},
{
"code": "db2",
"display": "IBM DB2",
"definition": "IBM DB2 database SQL dialect"
},
{
"code": "duckdb",
"display": "DuckDB",
"definition": "DuckDB database SQL dialect"
},
{
"code": "h2",
"display": "H2",
"definition": "H2 database SQL dialect"
},
{
"code": "hive",
"display": "Hive",
"definition": "Apache Hive dialect"
},
{
"code": "hsqldb",
"display": "HSQLDB",
"definition": "HyperSQL dialect"
},
{
"code": "mariadb",
"display": "MariaDB",
"definition": "MariaDB database SQL dialect"
},
{
"code": "mysql",
"display": "MySQL",
"definition": "MySQL database SQL dialect"
},
{
"code": "oracle",
"display": "Oracle SQL",
"definition": "Oracle database SQL dialect"
},
{
"code": "postgresql",
"display": "PostgreSQL",
"definition": "PostgreSQL database SQL dialect"
},
{
"code": "presto",
"display": "Presto",
"definition": "Presto distributed SQL query engine dialect"
},
{
"code": "redshift",
"display": "Amazon Redshift",
"definition": "Amazon Redshift SQL dialect"
},
{
"code": "snowflake",
"display": "Snowflake",
"definition": "Snowflake cloud data warehouse SQL dialect"
},
{
"code": "spark-sql",
"display": "Spark SQL",
"definition": "Apache Spark SQL dialect"
},
{
"code": "sql-2",
"display": "SQL Dialect 2",
"definition": "The SQL dialect is SQL-2"
},
{
"code": "sql-server",
"display": "SQL Server",
"definition": "Microsoft SQL Server SQL dialect"
},
{
"code": "sqlite",
"display": "SQLite",
"definition": "SQLite database SQL dialect"
},
{
"code": "teradata",
"display": "Teradata",
"definition": "Teradata database SQL dialect"
},
{
"code": "trino",
"display": "Trino",
"definition": "Trino distributed SQL query engine dialect"
},
{
"code": "vertica",
"display": "Vertica",
"definition": "Vertica analytics database SQL dialect"
}
]
}