[SPARK-54043] Update Spark Connect-generated Swift source code with 4.1.0-preview3 RC1

### What changes were proposed in this pull request?

This PR aims to update Spark Connect-generated Swift source code with Apache Spark `4.1.0-preview3` RC1.

### Why are the changes needed?

There are many changes between Apache Spark 4.1.0-preview2 and preview3.

- apache/spark#52685
- apache/spark#52613
- apache/spark#52553
- apache/spark#52532
- apache/spark#52517
- apache/spark#52514
- apache/spark#52487
- apache/spark#52328
- apache/spark#52200
- apache/spark#52154
- apache/spark#51344

To use the latest bug fixes and new messages to develop for new features of `4.1.0-preview3`.

```
$ git clone -b v4.1.0-preview3 https://github.com/apache/spark.git
$ cd spark/sql/connect/common/src/main/protobuf/
$ protoc --swift_out=. spark/connect/*.proto
$ protoc --grpc-swift_out=. spark/connect/*.proto

// Remove empty GRPC files
$ cd spark/connect
$ grep 'This file contained no services' * | awk -F: '{print $1}' | xargs rm
```

### Does this PR introduce _any_ user-facing change?

Pass the CIs.

### How was this patch tested?

Pass the CIs. I manually tested with `Apache Spark 4.1.0-preview3` (with the two SDP ignored tests).

```
$ swift test --no-parallel
...
✔ Test run with 203 tests in 21 suites passed after 19.088 seconds.
```
```

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #252 from dongjoon-hyun/SPARK-54043.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: dongjoon-hyun

Sources/SparkConnect/ArrowData.swift

@@ -39,19 +39,19 @@ public class ArrowData {
   ) throws {
     let infoType = arrowType.info
     switch infoType {
-    case let .primitiveInfo(typeId):
+    case .primitiveInfo(let typeId):
       if typeId == ArrowTypeId.unknown {
         throw ArrowError.unknownType("Unknown primitive type for data")
       }
-    case let .variableInfo(typeId):
+    case .variableInfo(let typeId):
       if typeId == ArrowTypeId.unknown {
         throw ArrowError.unknownType("Unknown variable type for data")
       }
-    case let .timeInfo(typeId):
+    case .timeInfo(let typeId):
       if typeId == ArrowTypeId.unknown {
         throw ArrowError.unknownType("Unknown time type for data")
       }
-    case let .complexInfo(typeId):
+    case .complexInfo(let typeId):
       if typeId == ArrowTypeId.unknown {
         throw ArrowError.unknownType("Unknown complex type for data")
       }

Sources/SparkConnect/Extension.swift

@@ -182,14 +182,15 @@ extension String {
     }
   }
 
-  var toDatasetType: DatasetType {
+  var toOutputType: OutputType {
     let mode =
       switch self {
-      case "unspecified": DatasetType.unspecified
-      case "materializedView": DatasetType.materializedView
-      case "table": DatasetType.table
-      case "temporaryView": DatasetType.temporaryView
-      default: DatasetType.UNRECOGNIZED(-1)
+      case "unspecified": OutputType.unspecified
+      case "materializedView": OutputType.materializedView
+      case "table": OutputType.table
+      case "temporaryView": OutputType.temporaryView
+      case "sink": OutputType.sink
+      default: OutputType.UNRECOGNIZED(-1)
       }
     return mode
   }

Sources/SparkConnect/SparkConnectClient.swift

@@ -145,8 +145,8 @@ public actor SparkConnectClient {
           throw SparkConnectError.InvalidViewName
         case let m where m.contains("DATA_SOURCE_NOT_FOUND"):
           throw SparkConnectError.DataSourceNotFound
-        case let m where m.contains("DATASET_TYPE_UNSPECIFIED"):
-          throw SparkConnectError.DatasetTypeUnspecified
+        case let m where m.contains("OUTPUT_TYPE_UNSPECIFIED"):
+          throw SparkConnectError.OutputTypeUnspecified
         default:
           throw error
         }
@@ -1240,27 +1240,27 @@ public actor SparkConnectClient {
   }
 
   @discardableResult
-  func defineDataset(
+  func defineOutput(
     _ dataflowGraphID: String,
-    _ datasetName: String,
-    _ datasetType: String,
+    _ outputName: String,
+    _ outputType: String,
     _ comment: String? = nil
   ) async throws -> Bool {
     try await withGPRC { client in
       if UUID(uuidString: dataflowGraphID) == nil {
         throw SparkConnectError.InvalidArgument
       }
 
-      var defineDataset = Spark_Connect_PipelineCommand.DefineDataset()
-      defineDataset.dataflowGraphID = dataflowGraphID
-      defineDataset.datasetName = datasetName
-      defineDataset.datasetType = datasetType.toDatasetType
+      var defineOutput = Spark_Connect_PipelineCommand.DefineOutput()
+      defineOutput.dataflowGraphID = dataflowGraphID
+      defineOutput.outputName = outputName
+      defineOutput.outputType = outputType.toOutputType
       if let comment {
-        defineDataset.comment = comment
+        defineOutput.comment = comment
       }
 
       var pipelineCommand = Spark_Connect_PipelineCommand()
-      pipelineCommand.commandType = .defineDataset(defineDataset)
+      pipelineCommand.commandType = .defineOutput(defineOutput)
 
       var command = Spark_Connect_Command()
       command.commandType = .pipelineCommand(pipelineCommand)
@@ -1288,7 +1288,7 @@ public actor SparkConnectClient {
       defineFlow.dataflowGraphID = dataflowGraphID
       defineFlow.flowName = flowName
       defineFlow.targetDatasetName = targetDatasetName
-      defineFlow.relation = relation
+      // defineFlow.relation = relation
 
       var pipelineCommand = Spark_Connect_PipelineCommand()
       pipelineCommand.commandType = .defineFlow(defineFlow)

Sources/SparkConnect/SparkConnectError.swift

@@ -22,11 +22,11 @@ public enum SparkConnectError: Error {
   case CatalogNotFound
   case ColumnNotFound
   case DataSourceNotFound
-  case DatasetTypeUnspecified
   case InvalidArgument
   case InvalidSessionID
   case InvalidType
   case InvalidViewName
+  case OutputTypeUnspecified
   case ParseSyntaxError
   case SchemaNotFound
   case SessionClosed

Sources/SparkConnect/TypeAliases.swift

@@ -23,7 +23,6 @@ typealias AnalyzePlanResponse = Spark_Connect_AnalyzePlanResponse
 typealias Command = Spark_Connect_Command
 typealias ConfigRequest = Spark_Connect_ConfigRequest
 typealias DataSource = Spark_Connect_Read.DataSource
-typealias DatasetType = Spark_Connect_DatasetType
 typealias DataType = Spark_Connect_DataType
 typealias DayTimeInterval = Spark_Connect_DataType.DayTimeInterval
 typealias Drop = Spark_Connect_Drop
@@ -45,6 +44,7 @@ typealias MergeIntoTableCommand = Spark_Connect_MergeIntoTableCommand
 typealias NamedTable = Spark_Connect_Read.NamedTable
 typealias OneOf_Analyze = AnalyzePlanRequest.OneOf_Analyze
 typealias OneOf_CatType = Spark_Connect_Catalog.OneOf_CatType
+typealias OutputType = Spark_Connect_OutputType
 typealias Plan = Spark_Connect_Plan
 typealias Project = Spark_Connect_Project
 typealias Range = Spark_Connect_Range