Using a conversion seems the best way. Since the sooner you compress the data, the less network I/O your going to generate. Also compressing will burn precious SQL server CPU cycles and may impact the performance of the SQL server.
public class YourEntityTypeConfigruation : IEntityTypeConfiguration<YourEntity>
{
public void Configure(EntityTypeBuilder<YourEntity> builder)
{
builder.Property(e => e.Data)
.HasConversion(
v => Zip(v),
v => Unzip(v));
}
public static void CopyTo(Stream src, Stream dest) {
byte[] bytes = new byte[4096];
int cnt;
while ((cnt = src.Read(bytes, 0, bytes.Length)) != 0) {
dest.Write(bytes, 0, cnt);
}
}
public static byte[] Zip(string str) {
var bytes = Encoding.UTF8.GetBytes(str);
using (var msi = new MemoryStream(bytes))
using (var mso = new MemoryStream()) {
using (var gs = new GZipStream(mso, CompressionMode.Compress)) {
//msi.CopyTo(gs);
CopyTo(msi, gs);
}
return mso.ToArray();
}
}
public static string Unzip(byte[] bytes) {
using (var msi = new MemoryStream(bytes))
using (var mso = new MemoryStream()) {
using (var gs = new GZipStream(msi, CompressionMode.Decompress)) {
//gs.CopyTo(mso);
CopyTo(gs, mso);
}
return Encoding.UTF8.GetString(mso.ToArray());
}
}
}
Using the SQL server methods is possible when you create a view like
CREATE VIEW MyView
AS
SELECT Id, DECOMPRESS(Data) as [Data]
FROM table
And mapping it in EF Context
For insert/updates you would need stored procedures to compress the data. Beating the purpose of using entity framework to track changes to entities.