Troubleshooting Common Issues with dotConnect for PostgreSQL

dotConnect for PostgreSQL — Features and Performance (concise guide)

What it is

dotConnect for PostgreSQL is a high-performance ADO.NET data provider by Devart that enables direct PostgreSQL access from .NET apps (C#, VB.NET, F#) and integrates with ORMs (EF Core, EF6, NHibernate, Dapper).

Key features

• Platform & framework support: .NET Framework 2.0–4.8, .NET Core 2.x–3.x, .NET 5–10, ASP.NET Core, Blazor, .NET MAUI, Mono.
• PostgreSQL versions: Broad support including recent server versions (up to PostgreSQL 18 in recent releases).
• ORM support: EF Core (1.x–9), EF6, NHibernate, Dapper, LinqConnect.
• Data types & Postgres features: Full support for arrays, ranges, composite types, JSON, large objects, spatial/geometry, stored procedures, notifications (LISTEN/NOTIFY).
• Security & connectivity: SSL/TLS, SSH tunneling, modern encryption/key-exchange algorithms, proxy and HTTP tunneling.
• Bulk & maintenance tools: PgSqlLoader (fast bulk import), PgSqlDump (backup/export), PgSqlAlerter, PgSqlMonitor/dbMonitor for tracing.
• IDE integration: Visual Studio tooling (DataSet wizards, editors, IntelliSense), support for VS Code/Rider.
• Design-time & ADO.NET features: Connection pooling with advanced controls, async commands, prepared statements, batch operations (ExecuteArray, DataAdapter.Update), extended metadata and command builder, typed DataTable/DataSet enhancements.

Performance highlights and optimizations

• Prepared statements & protocol-level optimizations to reduce round-trips.
• Advanced connection pooling with tunable settings in connection string.
• Intelligent fetch block size, on-demand column fetching, and paged/partial loading for large result sets.
• High-performance batch processing (Command.ExecuteArray, DataAdapter.Update(), DataTable.Update())—batch methods significantly reduce execution time versus per-row commands; ExecuteArray often yields the highest throughput for uniform operations.
• PgSqlLoader for very fast bulk inserts.
• Per-component SQL tracing and monitoring to diagnose slow queries and optimize usage.

Typical usage scenarios

• Enterprise .NET apps needing full Postgres feature coverage and advanced types.
• High-throughput services requiring efficient batching and pooling.
• Apps using EF Core or other ORMs that need Postgres-specific optimizations.
• Migration or ETL tasks that benefit from PgSqlLoader/PgSqlDump.

Practical tips for best performance

1. Use prepared statements and parameterized queries.
2. Prefer batch operations (ExecuteArray / DataAdapter.Update) for bulk updates/inserts.
3. Tune connection pool settings in the connection string to match concurrency.
4. Use PgSqlLoader for large bulk imports.
5. Enable monitoring (PgSqlMonitor/dbMonitor) to find and fix hotspots.
6. Fetch only needed columns and use paged queries for large result sets.

Where to get it

Install via NuGet (Devart.Data.PostgreSql / Devart.Data.PostgreSql.EFCore) or download trials and docs from Devart’s dotConnect for PostgreSQL product page.

If you want, I can produce sample connection strings, a short EF Core setup snippet, or an example showing ExecuteArray batch usage.