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POSystem.Data.SQLite equivalent for SqlDbType.Structured?
 

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    <p>On the current project I'm working on, I often have a collection of up to a 1000 (<code>int</code> or <code>string</code>) values, I want to match in a select statement (using the IN operator). The project supports both SQL Server and SQLite.</p> <p>In SQL Server the solution is pretty easy. I created 2 new types:</p> <pre><code>CREATE TYPE IntegerList AS TABLE(IntValue INT NOT NULL); CREATE TYPE StringList AS TABLE(StrValue VARCHAR(32) NOT NULL); </code></pre> <p>In my C# code I do as follows:</p> <pre><code>using (IDbCommand command = connection.CreateCommand()) { command.CommandText = someComplexSelectStatment + " AND T.Value IN (SELECT StrValue FROM @Values)"; SqlParameter parameter = command.CreateParameter() as SqlParameter; parameter.ParameterName = "@Values"; parameter.Value = data; parameter.SqlDbType = SqlDbType.Structured; parameter.TypeName = "dbo.StringList"; command.Parameters.Add(parameter); // use an IDataReader to retrieve the results } </code></pre> <p>Where data is a <code>DataTable</code> of a <code>DbDataReader</code>. I've written my own generic <code>DbDataReader</code>, which is able to use an <code>IEnumerable&lt;T&gt;</code> as source.</p> <p>Is there any equivalent to do this in SQLite ? The only solution I see (apart from inserting the data into a temporary table), would be to create a huge string like: <code>... AND T.Value IN ('Value1','Value2','Value3',...)</code>. This does not seem a very performant solution to me.</p> <p>I can not perform the select statement without the IN operator (and filter the result on the collection) as the result would contain too many results (up to a million records).</p> <p>Marc</p>
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    1. USMarc
    1. USMarc
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    1. COThere's nothing like that in sqlite. How about using separate tables for those values, with the "main" table having one-to-many relationship to them?
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      1. USAnton Kovalenko
    2. CO@AntonKovalenko: The is no one-to-many relationship. If I would perform the select without the IN operator, I would have as many different `T.Value` values as I would have resulting rows.
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