DynamicParameters DbType Mapping Issues in Parameterized Queries
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Description
Parameter Type Mapping Precision Issue in Dapper Parameterized Queries
When using Dapper for parameterized queries, automatically inferred database parameter types based on the parameter value's DbType may lack precision. For example:
DbType.AnsiString is mapped to NpgsqlDbType.Text in PostgreSQL/Npgsql.
This imprecise mapping can lead to inefficient query execution plans, resulting in prolonged query times and degraded performance (e.g., due to implicit type conversions or index mismatches).
Proposed Solution
To address this, we recommend extending Dapper to allow explicit configuration of parameter types before SQL execution via DbCommand. This could be achieved by:
Introducing an extensibility mechanism (e.g., injected extension objects) to override parameter mappings where necessary.
Enforcing precise database-specific types (e.g., NpgsqlDbType.Citext, NpgsqlDbType.Jsonb) instead of relying on generic DbType defaults.
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First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Start by tracing DynamicParameters into DbCommand parameter creation, then compare the generic DbType path with the PostgreSQL/Npgsql mapping described here. Done would be a clearly specified extensibility mechanism that permits precise database-specific types without breaking existing parameterized queries; the issue does not name implementation files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp, postgresql
- Domain
- databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100