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Implement missing DB-Library features: RPC, BCP, Transactions, and Parameterized queries
- Added full RPC support with OUTPUT parameter and return status handling. - Implemented high-performance Bulk Copy (BCP) via bulkInsert(). - Added explicit transaction management (begin/commit/rollback). - Added executeParameterized() using sp_executesql. - Refactored SQLClient into focused extensions for better maintainability. - Updated README.md with comprehensive documentation and usage samples. - Verified build compatibility for Swift Package Index (SPI). - Added 11 new integration tests covering all new functionality.
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.spi.yml

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@@ -3,8 +3,6 @@ builder:
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configs:
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- platform: macos-spm
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- platform: macos-xcodebuild
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- platform: ios
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- platform: tvos
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- platform: visionos
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- platform: linux
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swift_version: '5.10'

Package.swift

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@@ -43,7 +43,7 @@ var packageTargets: [Target] = [
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path: "Sources/SQLClientSwift",
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swiftSettings: [
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.enableExperimentalFeature("StrictConcurrency=complete"),
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] + (hasFreeTDS ? [.define("FREETDS_FOUND")] : []),
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] + (hasFreeTDS ? [.define("FREETDS_FOUND"), .define("DBBCP")] : []),
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linkerSettings: [
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.linkedLibrary("sybdb", .when(platforms: [.linux]))
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]

README.md

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@@ -22,7 +22,11 @@ This is a Swift rewrite and modernisation of [martinrybak/SQLClient](https://git
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- **Windows Authentication** — support for NTLMv2 and Domain-integrated security
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- **FreeTDS 1.5** — NTLMv2, read-only AG routing, Kerberos auth, IPv6, cluster failover
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- **Affected-row counts**`rowsAffected` from `INSERT` / `UPDATE` / `DELETE`
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- **Parameterised queries** — built-in SQL injection protection via `?` placeholders
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- **Remote Procedure Calls (RPC)** — efficient stored procedure execution with full `OUTPUT` parameter and return status support
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- **Explicit Transactions**`beginTransaction()`, `commitTransaction()`, and `rollbackTransaction()`
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- **Bulk Copy (BCP)** — high-performance `bulkInsert()` for large data sets
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- **Connection Pooling** — built-in `SQLClientPool` for high-concurrency applications
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- **Parameterised queries** — built-in SQL injection protection via `?` placeholders or `executeParameterized()`
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- **All SQL Server date types**`date`, `time`, `datetime2`, `datetimeoffset` as native `Date`
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- **Swift Package Manager** — single dependency, no Ruby tooling required
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@@ -126,6 +130,26 @@ await client.disconnect()
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---
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## Connection Pooling
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For server-side applications with high concurrency, use `SQLClientPool` to manage a pool of reusable connections:
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```swift
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let options = SQLClientConnectionOptions(server: "myserver", username: "sa", password: "pwd")
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let pool = SQLClientPool(options: options, maxPoolSize: 10)
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// Use a client from the pool
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try await pool.withClient { client in
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let rows = try await client.query("SELECT GETDATE()")
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print(rows[0])
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}
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// Disconnect all clients when shutting down
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await pool.disconnectAll()
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```
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---
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## Usage
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### Connecting
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if row.isNull("DiscontinuedDate") {
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print("\(name ?? "") is still available")
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}
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// Convert the entire row to a dictionary
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let dict = row.toDictionary()
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}
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```
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### Querying — `Decodable` Mapping
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Map rows directly to your own `Decodable` structs. Column name matching is **case-insensitive** and handles `snake_case``camelCase` automatically:
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Map rows directly to your own `Decodable` structs. Column name matching is **case-insensitive** and handles `snake_case``camelCase` automatically. It also supports automatic conversion from `String` to primitive types, `Date`, `URL`, and `Decimal`:
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```swift
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struct Product: Decodable {
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let productID: Int
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let name: String
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let price: Decimal
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let dateAdded: Date
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struct UserProfile: Decodable {
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let userID: Int // matches "user_id" or "UserID"
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let displayName: String // matches "display_name"
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let website: URL? // automatically converted from string
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let balance: Decimal // automatically converted
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}
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// "product_id", "ProductID", and "productId" all match the `productID` property
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let products: [Product] = try await client.query(
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"SELECT product_id, name, price, date_added FROM Products"
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)
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let profiles: [UserProfile] = try await client.query("SELECT * FROM UserProfiles")
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```
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### Executing — `SQLClientResult`
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print("\(affected) row(s) updated")
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```
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### Explicit Transactions
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Wrap multiple operations in a transaction to ensure atomicity:
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```swift
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try await client.beginTransaction()
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do {
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try await client.run("INSERT INTO Orders ...")
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try await client.run("UPDATE Inventory ...")
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try await client.commitTransaction()
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} catch {
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try await client.rollbackTransaction()
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throw error
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}
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```
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### Stored Procedures (RPC)
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The `executeRPC` method is the most efficient way to call stored procedures and correctly supports `OUTPUT` parameters and return status:
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```swift
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let params = [
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SQLParameter(name: "@InVal", value: 42),
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SQLParameter(name: "@OutVal", value: 0, isOutput: true)
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]
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let result = try await client.executeRPC("MyStoredProc", parameters: params)
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// Access output parameters by name
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if let doubled = result.outputParameters["@OutVal"] as? NSNumber {
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print("Doubled value:", doubled.intValue)
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}
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// Access return status
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print("Procedure returned:", result.returnStatus ?? 0)
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```
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### Parameterised Queries
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Use `?` placeholders to pass values safely. Strings are automatically escaped to prevent SQL injection:
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)
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```
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> **Note:** This uses string-level escaping (single-quote doubling). For maximum security with untrusted user input, prefer stored procedures.
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> **Note:** This uses string-level escaping (single-quote doubling). For maximum security or output parameters in ad-hoc queries, use `executeParameterized()`:
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```swift
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let params = [
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SQLParameter(name: "@UserID", value: 42),
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SQLParameter(name: "@Msg", value: "Hello World")
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]
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let result = try await client.executeParameterized(
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"SELECT * FROM Users WHERE ID = @UserID; PRINT @Msg",
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parameters: params
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)
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```
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### Bulk Insert (BCP)
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For high-performance loading of thousands of rows, use the Bulk Copy (BCP) interface:
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```swift
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var rows: [SQLRow] = []
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for i in 1...1000 {
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let storage: [(key: String, value: Sendable)] = [
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(key: "ID", value: i),
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(key: "Name", value: "Bulk User \(i)")
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]
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rows.append(SQLRow(storage, columnTypes: [:]))
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}
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let inserted = try await client.bulkInsert(table: "LargeTable", rows: rows)
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print("Bulk inserted \(inserted) rows")
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```
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### SQLDataTable & SQLDataSet
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#### Backward compatibility
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`SQLDataTable` can be converted back to `[SQLRow]` if you need to pass it to existing code:
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`SQLDataTable` can be converted back to `[SQLRow]` if you need to pass it to existing code or use `bulkInsert` with a table you just fetched:
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```swift
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let sqlRows: [SQLRow] = table.toSQLRows()
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// Example: fetch from one table and bulk insert into another
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let table = try await client.dataTable("SELECT * FROM SourceTable")
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try await client.bulkInsert(table: "TargetTable", rows: table.toSQLRows())
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```
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### Error Handling
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## Known Limitations
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- **Stored procedure OUTPUT parameters** are not yet supported. Stored procedures that return result sets via `SELECT` work normally.
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- **Connection pooling** is not built in. For high-concurrency server-side apps, create multiple `SQLClient` instances manually.
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- **Single-space strings:** FreeTDS may return `""` instead of `" "` in some server configurations (upstream FreeTDS bug).
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- **`sql_variant`**, **`cursor`**, and **`table`** SQL Server types are not supported.
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- **BCP with Unicode:** `bulkInsert` currently works best with standard `VARCHAR` columns.
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---
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#if FREETDS_FOUND
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import CFreeTDS
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import Foundation
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extension SQLClient {
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/// High-performance bulk insert of rows into a table.
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/// Rows must match the table schema exactly in order and type.
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public func bulkInsert(table: String, rows: [SQLRow]) async throws -> Int {
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await awaitPrevious()
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guard self.isConnected else { throw SQLClientError.notConnected }
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guard !rows.isEmpty else { return 0 }
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guard let conn = self.connectionHandle else { throw SQLClientError.notConnected }
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let handle = TDSHandle(pointer: conn)
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let task: Task<Int, Error> = Task {
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return try await self.runBlocking {
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return try self._bulkInsertSync(table: table, rows: rows, connection: handle)
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}
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}
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setActiveTask(Task { _ = await task.result })
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return try await task.value
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}
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private nonisolated func _bulkInsertSync(table: String, rows: [SQLRow], connection: TDSHandle) throws -> Int {
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let conn = connection.pointer
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dbcancel(conn)
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// bcp_init direction: DB_IN
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guard bcp_init(conn, table, nil, nil, 1) != FAIL else {
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throw SQLClientError.executionFailed(detail: self.getLastError())
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}
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guard let firstRow = rows.first else { return 0 }
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let columns = firstRow.columns
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let numCols = columns.count
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// Pre-allocate buffers for each column
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let bufSize = 8192
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var colBuffers: [UnsafeMutableRawPointer] = []
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for _ in 0..<numCols {
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colBuffers.append(UnsafeMutableRawPointer.allocate(byteCount: bufSize, alignment: 1))
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}
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defer { for buf in colBuffers { buf.deallocate() } }
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// Bind columns
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for (i, _) in columns.enumerated() {
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let colIdx = Int32(i + 1)
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// bcp_bind: type 47=SYBCHAR
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guard bcp_bind(conn, colBuffers[i].assumingMemoryBound(to: BYTE.self), 0, -1, nil, 0, 47, colIdx) != FAIL else {
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throw SQLClientError.executionFailed(detail: self.getLastError())
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}
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}
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var totalInserted = 0
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for row in rows {
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for (i, col) in columns.enumerated() {
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let val = row[col]
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let str = (val is NSNull) ? "" : "\(val ?? "")"
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let utf8 = str.utf8
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let count = min(utf8.count, bufSize - 1)
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let bytes = colBuffers[i].assumingMemoryBound(to: UInt8.self)
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for (j, b) in utf8.enumerated() {
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if j >= count { break }
66+
bytes[j] = b
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}
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bytes[count] = 0
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// Update the length for the current row
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bcp_collen(conn, DBINT(count), Int32(i + 1))
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}
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guard bcp_sendrow(conn) != FAIL else {
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throw SQLClientError.executionFailed(detail: self.getLastError())
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}
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totalInserted += 1
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}
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let result = bcp_done(conn)
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guard result != -1 else {
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throw SQLClientError.executionFailed(detail: self.getLastError())
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}
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return Int(result)
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}
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}
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#endif
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#if FREETDS_FOUND
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import CFreeTDS
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import Foundation
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extension SQLClient {
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/// Executes a parameterized query using sp_executesql.
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/// This is safer and more efficient than string-building for complex queries.
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public func executeParameterized(_ sql: String, parameters: [SQLParameter]) async throws -> SQLClientResult {
9+
// sp_executesql @stmt, @params, @param1, @param2...
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11+
// 1. Build the parameter definition string: "@p1 int, @p2 nvarchar(50)..."
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var defParts: [String] = []
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var rpcParams: [SQLParameter] = []
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// First parameter is the statement itself
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rpcParams.append(SQLParameter(name: "@stmt", value: sql, isOutput: false))
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for (i, p) in parameters.enumerated() {
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let pName = p.name ?? "@p\(i+1)"
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let typeStr = sqlTypeName(for: p.value)
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defParts.append("\(pName) \(typeStr)" + (p.isOutput ? " OUTPUT" : ""))
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}
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let paramDef = defParts.joined(separator: ", ")
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rpcParams.append(SQLParameter(name: "@params", value: paramDef, isOutput: false))
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// Add the actual values
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for (i, p) in parameters.enumerated() {
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let pName = p.name ?? "@p\(i+1)"
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rpcParams.append(SQLParameter(name: pName, value: p.value, isOutput: p.isOutput))
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}
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return try await executeRPC("sp_executesql", parameters: rpcParams)
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}
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private func sqlTypeName(for value: Sendable?) -> String {
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guard let value = value else { return "NVARCHAR(MAX)" }
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switch value {
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case is Int, is Int32: return "INT"
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case is Int16: return "SMALLINT"
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case is Int64: return "BIGINT"
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case is Float: return "REAL"
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case is Double: return "FLOAT"
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case is Bool: return "BIT"
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case is Data: return "VARBINARY(MAX)"
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case is Date: return "DATETIME"
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case is UUID: return "UNIQUEIDENTIFIER"
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default: return "NVARCHAR(MAX)"
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}
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}
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}
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#endif

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