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A hybrid .NET ORM library for Vertica (using Vertica.Data.VerticaClient).

Published
Oct 2, 2026
16d ago
Total Downloads
575
575

Install

dotnet add package RepoDb.Vertica --version 1.17.0-alpha1
ProductVersions
.NET
net10.0net8.0net9.0
.NET Standard
netstandard2.0

README

RepoDb.Vertica
  

A high-performance data productivity platform for Vertica in .NET.

VerticaBuild VerticaHome VerticaVersion

RepoDb.Vertica β€” RepoDB for Vertica

The Vertica provider for RepoDB β€” a fast, lightweight .NET ORM that lets you use raw SQL and fluent operations side by side on the same connection. Built on top of RepoDb and Vertica.Data.VerticaClient.

Important Pages

  • GitHub Home β€” core library and source code.
  • Website β€” full documentation, API reference, and blog.

Community

Dependencies

Known limitations

  • Targets Vertica 3.0 and later. Identity-column detection relies on RDB$RELATION_FIELDS.RDB$IDENTITY_TYPE, which does not exist on Vertica 2.5 and earlier; tables using the pre-3.0 trigger + generator pattern for auto-increment will not be detected as identity columns.
  • InsertAll batches real multi-row INSERT INTO t (...) VALUES (...), (...), ... statements (IDbSetting.IsInsertAllBatchable = true) - a single statement, not multiple ;-separated ones, so it doesn't hit Vertica's compound-statement restriction. This matters: Vertica creates a new storage container (ROS) per statement, regardless of whether inserts share a transaction/commit, so one-row-at-a-time inserts exhaust the per-projection ROS container limit ("Too many ROS containers exist") on any sizeable InsertAll. A generated IDENTITY value for a batch is read back with a single LAST_INSERT_ID() query after the batch, then assigned to each row by computed offset - this assumes Vertica generates IDENTITY values contiguously and in input row order within one multi-row INSERT, which is unverified against a real (especially multi-node) cluster. MergeAll always executes one statement per row regardless (see below) - Vertica's ADO.NET provider does not support executing multiple separate statements in a single round-trip, unlike SQL Server/MySQL/PostgreSql.
  • Vertica has neither a native single-statement upsert nor a usable MERGE for this purpose: it has no UPDATE OR INSERT ... MATCHING statement, and its ANSI MERGE fails outright (error 4711, "Sequence or IDENTITY/AUTO_INCREMENT column in merge query is not supported") against any table carrying an IDENTITY column, whether or not that column is referenced. Nor can a compound (stmt1; stmt2) statement stand in for it: VerticaCommand refuses to execute one at all once it carries a parameter, on every Execute* call (it always prepares first internally), not just when .Prepare() is called explicitly. Merge/MergeAll therefore set IsUseUpsert = true, routing through RepoDb.Core's Exists + Update/Insert fallback - genuinely separate, single-statement round-trips - instead of a single atomic statement.
  • Vertica has no RETURNING clause on any DML. A generated IDENTITY value is instead read back via a separate SELECT LAST_INSERT_ID() query (Vertica's session-scoped equivalent of SCOPE_IDENTITY(), valid only for IDENTITY columns, not named sequences) - see VerticaDbHelper.GetScopeIdentity, called automatically by RepoDb.Core's Insert/InsertAll as a fallback whenever the insert's own ExecuteScalar() doesn't yield a value.
  • Vertica's driver materializes a TIME column's value as a full DateTime combined with the current date at the time of the read, not a fixed placeholder date - so a value written and read back would otherwise never compare equal to itself. There is no accessor that returns a bare TimeSpan for a TIME column. Apply VerticaTimeToDateTimePropertyHandler to any DateTime-typed property mapped to a TIME column to re-base it onto DateTime's default date; it is opt-in (not auto-registered) since PropertyHandlerMapper registrations by CLR type are global and would otherwise also affect DATE/TIMESTAMP columns.
    • This only fixes typed-entity queries (Query<TEntity>, Merge<TEntity>, etc.), since PropertyHandlerMapper is keyed by (EntityType, PropertyInfo) - an actual CLR property to attach to. Dynamic/ExpandoObject reads (*ViaTableName operations, a dynamic Query/ExecuteQuery) go through RepoDb.Core's dictionary-binding compiler, which reads the raw driver value directly with no property-handler hook at all. Fixing that path would require wrapping Vertica's (sealed, so un-subclassable) VerticaConnection/VerticaCommand/VerticaDataReader behind a from-scratch delegating DbConnection/DbCommand/DbDataReader triplet - not implemented. A TIME column read back through a dynamic path will show today's date instead of a placeholder.

License

Apache-2.0 β€” Copyright Β© 2020 Michael Camara Pendon


Installation

Install-Package RepoDb.Vertica

Or visit the installation page for more options.

Get Started

Initialize the bootstrapper once at application startup:

GlobalConfiguration
    .Setup()
    .UseVertica();

Then use any RepoDB operation directly on your VerticaConnection:

Query

using (var connection = new VerticaConnection(ConnectionString))
{
	var customer = connection.Query<Customer>(c => c.Id == 10045);
}

Insert

var customer = new Customer
{
	FirstName = "John",
	LastName = "Doe",
	IsActive = true
};
using (var connection = new VerticaConnection(ConnectionString))
{
	var id = connection.Insert<Customer>(customer);
}

Update

using (var connection = new VerticaConnection(ConnectionString))
{
	var customer = connection.Query<Customer>(10045);
	customer.FirstName = "John";
	customer.LastUpdatedUtc = DateTime.UtcNow;
	var affectedRows = connection.Update<Customer>(customer);
}

Delete

using (var connection = new VerticaConnection(ConnectionString))
{
	var customer = connection.Query<Customer>(10045);
	var deletedCount = connection.Delete<Customer>(customer);
}

ExecuteQuery

using (var connection = new VerticaConnection(ConnectionString))
{
	var customer = connection.ExecuteQuery<Customer>("SELECT * FROM \"Customer\" WHERE (\"Id\" = @Id)", new { Id = 10045 }).FirstOrDefault();
}

ExecuteNonQuery

using (var connection = new VerticaConnection(ConnectionString))
{
	var affectedRows = connection.ExecuteNonQuery("UPDATE \"Customer\" SET \"FirstName\" = @FirstName WHERE (\"Id\" = @Id)", new { FirstName = "John", Id = 10045 });
}

ExecuteScalar

using (var connection = new VerticaConnection(ConnectionString))
{
	var count = connection.ExecuteScalar<int>("SELECT COUNT(*) FROM \"Customer\"");
}

Visit the get-started page for the full Vertica guide.

License

Apache-2.0 β€” Copyright Β© 2020 Michael Camara Pendon

Changes from Previous Version

No structural changes between v1.16.0 and v1.17.0-alpha1.

Adoption Assessment

A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.

This version is marked prerelease. Validate its API and upgrade path before production use.Compatibility metadata lists 4 target frameworks; confirm the exact target used by your application.

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