This library takes care of the difficult work of managing binary serialization/de-serialization and networking protocols, so that you can focus on implementing business logic.
The goal is to allow users to write new Postgres wire-protocol compatible services with minimum effort, while keeping the codebase as simple as possible.
Below is a working example of an interface implementation that can successfully be connected to with psql
(or any
other client), complete the initial startup + authentication handshake, and then returns a static result of the below
for every query it receives:
id | email
----+----------------
1 | [email protected]
2 | [email protected]
3 | [email protected]
object ExamplePostgresFrontendMessageHandler : IPostgresFrontendMessageHandler {
override fun handleStartup(ctx: ChannelHandlerContext, msg: FrontendMessage.Startup) {
ctx.write(BackendMessage.AuthenticationOk())
ctx.write(BackendMessage.BackendKeyData(processId = 1, secretKey = 2))
ctx.write(BackendMessage.ReadyForQuery(TransactionStatus.IDLE))
ctx.flush()
}
override fun handleQuery(ctx: ChannelHandlerContext, msg: FrontendMessage.Query) {
// Fake "user" rows which have "id" and "email" columns
val rd = BackendMessage.RowDescription(
fields = listOf(
BackendMessage.RowDescription.Field(
name = "id",
tableOid = 0,
columnIdx = 1,
dataTypeOid = PgTypeTable.int4.oid,
dataTypeSize = PgTypeTable.int4.byteLength,
dataTypeModifier = -1,
format = PostgresDataFormat.TEXT
),
BackendMessage.RowDescription.Field(
name = "email",
tableOid = 0,
columnIdx = 2,
dataTypeOid = PgTypeTable.text.oid,
dataTypeSize = PgTypeTable.text.byteLength,
dataTypeModifier = -1,
format = PostgresDataFormat.TEXT
)
)
)
ctx.write(rd)
// Write 3 example rows
for (i in 1..3) {
ctx.write(BackendMessage.DataRow(columns = listOf(i, "user$i@site.com")))
}
ctx.write(BackendMessage.CommandComplete(affectedRows = 3, type = CommandType.SELECT))
ctx.write(BackendMessage.ReadyForQuery(TransactionStatus.IDLE))
ctx.flush()
}
}