Swift Package IndexBuild Information
Successful build of SparkConnect, reference main (a8d5ff), with Swift 6.4 for macOS (SPM) on 25 Oct 2026 10:51:13 UTC.
Swift 6 data race errors: 0
Build Command
env DEVELOPER_DIR=/Applications/Xcode-27.0.0.app xcrun swift build --arch arm64Build Log
========================================
RunAll
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Builder version: 5.1.3
Interrupt handler set up.
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Checkout
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Clone URL: https://github.com/apache/spark-connect-swift.git
Reference: main
Initialized empty Git repository in /Users/admin/builder/spi-builder-workspace/.git/
From https://github.com/apache/spark-connect-swift
* branch main -> FETCH_HEAD
* [new branch] main -> origin/main
HEAD is now at a8d5ff5 [SPARK-60516] Fix `DataFrame.toDF` to rename columns instead of selecting them
Cloned https://github.com/apache/spark-connect-swift.git
Revision (git rev-parse @):
a8d5ff58d657dd08621801a44acadac247e18143
SPI manifest file found: $PWD/.spi.yml
SUCCESS checkout https://github.com/apache/spark-connect-swift.git at main
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========================================
ResolveProductDependencies
========================================
Resolving dependencies ...
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Working copy of https://github.com/apple/swift-collections.git resolved at 1.7.4
Creating working copy for https://github.com/grpc/grpc-swift-2.git
Working copy of https://github.com/grpc/grpc-swift-2.git resolved at 2.4.4
Creating working copy for https://github.com/apple/swift-async-algorithms.git
Working copy of https://github.com/apple/swift-async-algorithms.git resolved at 1.1.7
Creating working copy for https://github.com/apple/swift-crypto.git
Working copy of https://github.com/apple/swift-crypto.git resolved at 5.0.3
Creating working copy for https://github.com/apple/swift-http-types.git
Working copy of https://github.com/apple/swift-http-types.git resolved at 1.8.0
Creating working copy for https://github.com/apple/swift-nio.git
Working copy of https://github.com/apple/swift-nio.git resolved at 2.104.0
Creating working copy for https://github.com/apple/swift-nio-extras.git
Working copy of https://github.com/apple/swift-nio-extras.git resolved at 1.35.1
Creating working copy for https://github.com/grpc/grpc-swift-protobuf.git
Working copy of https://github.com/grpc/grpc-swift-protobuf.git resolved at 2.5.0
Creating working copy for https://github.com/apple/swift-algorithms.git
Working copy of https://github.com/apple/swift-algorithms.git resolved at 1.2.1
warning: '.resolve-product-dependencies': dependency 'spark-connect-swift' is not used by any target
Found 5 product dependencies
- grpc-swift-2
- grpc-swift-protobuf
- grpc-swift-nio-transport
- FlatBuffers
- swift-system
========================================
Build
========================================
Selected platform: macosSpm
Swift version: 6.4
Building package at path: $PWD
https://github.com/apache/spark-connect-swift.git
Running build ...
env DEVELOPER_DIR=/Applications/Xcode-27.0.0.app xcrun swift build --arch arm64
Building for debugging...
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Build complete! (64.86 sec)
Build complete.
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✅ Doc result (pending) reported
========================================
GenerateDocs
========================================
Generating docs at path: $PWD/.docs/apache/spark-connect-swift/main
Repository: apache/spark-connect-swift
Swift version used: 6.4
Target: SparkConnect
Extracting symbol information for 'SparkConnect'...
Finished extracting symbol information for 'SparkConnect'. (34.64s)
Building documentation for 'SparkConnect'...
warning: 'SparkSession.catalog' doesn't exist at '/SparkConnect/Catalog'
--> ../Catalog.swift:82:27-82:47
80 |
81 | /// Interface through which the user may create, drop, alter or query underlying databases, tables, functions etc.
82 + /// To access this, use ``SparkSession.catalog``.
83 | public actor Catalog: Sendable {
84 | var spark: SparkSession
warning: Parameter 'dbName' is missing documentation
--> ../Catalog.swift:269:78-269:78
267 |
268 | /// Returns a list of tables in the given database (or the current database).
269 + /// - Parameter pattern: The pattern that the database name needs to match.
| ╰─suggestion: Document 'dbName' parameter
270 | /// - Returns: A list of ``SparkTable``.
271 | public func listTables(dbName: String? = nil, pattern: String? = nil) async throws -> [SparkTable]
warning: '&&(_:_:)' is ambiguous at '/SparkConnect/Column'
--> ../Column.swift:480:67-480:75
478 | /// Returns an expression computing the bitwise AND (`&`) of this column with another column.
479 | ///
480 + /// Note that this is a bitwise operation, unlike the logical ``&&(_:_:)`` operator.
| ├─suggestion: Insert '-(Column,Column)' for 'static func && (lhs: Column, rhs: Column) -> Column'
| ├─suggestion: Insert '-(_,SparkLiteral)' for 'static func && (lhs: Column, rhs: some SparkLiteral) -> Column'
| ╰─suggestion: Insert '-(SparkLiteral,_)' for 'static func && (lhs: some SparkLiteral, rhs: Column) -> Column'
481 | ///
482 | /// ```swift
warning: '||(_:_:)' is ambiguous at '/SparkConnect/Column'
--> ../Column.swift:500:67-500:75
498 | /// Returns an expression computing the bitwise OR (`|`) of this column with another column.
499 | ///
500 + /// Note that this is a bitwise operation, unlike the logical ``||(_:_:)`` operator.
| ├─suggestion: Insert '-(Column,Column)' for 'static func || (lhs: Column, rhs: Column) -> Column'
| ├─suggestion: Insert '-(_,SparkLiteral)' for 'static func || (lhs: Column, rhs: some SparkLiteral) -> Column'
| ╰─suggestion: Insert '-(SparkLiteral,_)' for 'static func || (lhs: some SparkLiteral, rhs: Column) -> Column'
501 | /// - Parameter other: A ``Column`` that evaluates to an integral.
502 | /// - Returns: A ``Column``.
warning: '[Row]' doesn't exist at '/SparkConnect/DataFrame/collect()'
--> ../DataFrame+Actions.swift:143:51-143:56
141 | }
142 |
143 + /// Execute the plan and return the result as ``[Row]``.
144 | /// - Returns: ``[Row]``
145 | public func collect() async throws -> [Row] {
warning: '[Row]' doesn't exist at '/SparkConnect/DataFrame/collect()'
--> ../DataFrame+Actions.swift:144:20-144:25
142 |
143 | /// Execute the plan and return the result as ``[Row]``.
144 + /// - Returns: ``[Row]``
145 | public func collect() async throws -> [Row] {
146 | let batches = try await execute()
warning: '[Row]' doesn't exist at '/SparkConnect/DataFrame/tail(_:)'
--> ../DataFrame+Actions.swift:397:20-397:25
395 | /// Returns the last `n` rows.
396 | /// - Parameter n: The number of rows.
397 + /// - Returns: ``[Row]``
398 | public func tail(_ n: Int32) async throws -> [Row] {
399 | let lastN = DataFrame(spark: spark, plan: SparkConnectClient.getTail(self.plan.root, n))
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/sameSemantics(other:)'
--> ../DataFrame+Actions.swift:503:65-503:72
501 | }
502 |
503 + /// Returns `true` when the logical query plans inside both ``Dataset``s are equal and therefore
504 | /// return same results.
505 | /// - Parameter other: A ``DataFrame`` to compare.
warning: 'filter(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame+Transformations.swift:386:37-386:47
384 | /// Filters rows using the given condition (alias for filter).
385 | ///
386 + /// This method is an alias for ``filter(_:)`` and behaves identically.
| ├─suggestion: Insert '-(Column)' for 'func filter(_ condition: Column) -> DataFrame'
| ╰─suggestion: Insert '-(String)' for 'func filter(_ conditionExpr: String) -> DataFrame'
387 | ///
388 | /// ```swift
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/sample(_:_:_:)'
--> ../DataFrame+Transformations.swift:540:23-540:30
538 | }
539 |
540 + /// Returns a new ``Dataset`` by sampling a fraction of rows, using a user-supplied seed.
541 | /// - Parameters:
542 | /// - withReplacement: Sample with replacement or not.
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/sample(_:_:)'
--> ../DataFrame+Transformations.swift:552:23-552:30
550 | }
551 |
552 + /// Returns a new ``Dataset`` by sampling a fraction of rows, using a random seed.
553 | /// - Parameters:
554 | /// - withReplacement: Sample with replacement or not.
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/sample(_:_:)'
--> ../DataFrame+Transformations.swift:561:23-561:30
559 | }
560 |
561 + /// Returns a new ``Dataset`` by sampling a fraction of rows (without replacement), using a
562 | /// user-supplied seed.
563 | /// - Parameters:
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/sample(_:)'
--> ../DataFrame+Transformations.swift:571:23-571:30
569 | }
570 |
571 + /// Returns a new ``Dataset`` by sampling a fraction of rows (without replacement), using a
572 | /// random seed.
573 | /// - Parameters:
warning: Parameter 'right' not found in instance method declaration
--> ../DataFrame+Transformations.swift:662:9-662:51
660 | /// Inner equi-join with another `DataFrame` using the given columns.
661 | /// - Parameters:
662 + /// - right: Right side of the join operation.
| ╰─suggestion: Remove 'right' parameter documentation
663 | /// - usingColumn: Names of the columns to join on. These columns must exist on both sides.
664 | /// - joinType: A join type name.
warning: Parameter 'usingColumn' not found in instance method declaration
--> ../DataFrame+Transformations.swift:663:11-663:22
661 | /// - Parameters:
662 | /// - right: Right side of the join operation.
663 + /// - usingColumn: Names of the columns to join on. These columns must exist on both sides.
| ╰─suggestion: Replace 'usingColumn' with 'usingColumns'
664 | /// - joinType: A join type name.
665 | /// - Returns: A `DataFrame`.
warning: Parameter 'other' is missing documentation
--> ../DataFrame+Transformations.swift:664:38-664:38
662 | /// - right: Right side of the join operation.
663 | /// - usingColumn: Names of the columns to join on. These columns must exist on both sides.
664 + /// - joinType: A join type name.
| ╰─suggestion: Document 'other' parameter
665 | /// - Returns: A `DataFrame`.
666 | public func join(_ other: DataFrame, _ usingColumns: [String], _ joinType: String = "inner") async
warning: Parameter 'usingColumns' is missing documentation
--> ../DataFrame+Transformations.swift:664:38-664:38
662 | /// - right: Right side of the join operation.
663 | /// - usingColumn: Names of the columns to join on. These columns must exist on both sides.
664 + /// - joinType: A join type name.
| ╰─suggestion: Document 'usingColumns' parameter
665 | /// - Returns: A `DataFrame`.
666 | public func join(_ other: DataFrame, _ usingColumns: [String], _ joinType: String = "inner") async
warning: Parameter 'allowMissingColumns' is missing documentation
--> ../DataFrame+Transformations.swift:925:54-925:54
923 | /// `DataFrame` can differ; missing columns will be filled with null. Further, the missing columns
924 | /// of this `DataFrame` will be added at the end in the schema of the union result
925 + /// - Parameter other: A `DataFrame` to union with.
| ╰─suggestion: Document 'allowMissingColumns' parameter
926 | /// - Returns: A `DataFrame`.
927 | public func unionByName(_ other: DataFrame, _ allowMissingColumns: Bool = false) async
warning: Parameter 'numPartitions' is missing documentation
--> ../DataFrame+Transformations.swift:988:68-988:68
986 | /// `spark.sql.shuffle.partitions` as number of partitions. The resulting Dataset is hash
987 | /// partitioned.
988 + /// - Parameter partitionExprs: The partition expression strings.
| ╰─suggestion: Document 'numPartitions' parameter
989 | /// - Returns: A `DataFrame`.
990 | public func repartitionByExpression(_ numPartitions: Int32?, _ partitionExprs: String...)
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/distinct()'
--> ../DataFrame+Transformations.swift:1038:23-1038:30
1036 | // MARK: - Data Shape
1037 |
1038 + /// Returns a new ``Dataset`` that contains only the unique rows from this ``Dataset``.
1039 | /// This is an alias for `dropDuplicates`.
1040 | /// - Returns: A `DataFrame`.
warning: 'Dataset' doesn't exist at '/SparkConnect/DataFrame/distinct()'
--> ../DataFrame+Transformations.swift:1038:80-1038:87
1036 | // MARK: - Data Shape
1037 |
1038 + /// Returns a new ``Dataset`` that contains only the unique rows from this ``Dataset``.
1039 | /// This is an alias for `dropDuplicates`.
1040 | /// - Returns: A `DataFrame`.
warning: 'to(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:104:9-104:15
102 | ///
103 | /// ### Transformation Operations
104 + /// - ``to(_:)``
| ├─suggestion: Insert '-(String)' for 'func to(_ schema: String) async throws -> DataFrame'
| ╰─suggestion: Insert '-(StructType)' for 'func to(_ schema: StructType) -> DataFrame'
105 | /// - ``toDF(_:)``
106 | /// - ``toJSON()``
warning: 'filter(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:109:9-109:19
107 | /// - ``select(_:)``
108 | /// - ``selectExpr(_:)``
109 + /// - ``filter(_:)``
| ├─suggestion: Insert '-(Column)' for 'func filter(_ condition: Column) -> DataFrame'
| ╰─suggestion: Insert '-(String)' for 'func filter(_ conditionExpr: String) -> DataFrame'
110 | /// - ``where(_:)``
111 | /// - ``sort(_:)``
warning: 'where(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:110:9-110:18
108 | /// - ``selectExpr(_:)``
109 | /// - ``filter(_:)``
110 + /// - ``where(_:)``
| ├─suggestion: Insert '-(Column)' for 'func `where`(_ condition: Column) -> DataFrame'
| ╰─suggestion: Insert '-(String)' for 'func `where`(_ conditionExpr: String) -> DataFrame'
111 | /// - ``sort(_:)``
112 | /// - ``orderBy(_:)``
warning: 'withColumnRenamed(_:_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:119:9-119:32
117 | /// - ``dropDuplicatesWithinWatermark(_:)``
118 | /// - ``distinct()``
119 + /// - ``withColumnRenamed(_:_:)``
| ├─suggestion: Insert '-([String],_)' for 'func withColumnRenamed(_ colNames: [String], _ newColNames: [String]) -> DataFrame'
| ╰─suggestion: Insert '-(String,_)' for 'func withColumnRenamed(_ existingName: String, _ newName: String) -> DataFrame'
120 | /// - ``unpivot(_:_:_:)``
121 | /// - ``unpivot(_:_:_:_:)``
warning: 'join(_:_:_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:131:9-131:21
129 | /// ### Join Operations
130 | /// - ``join(_:)``
131 + /// - ``join(_:_:_:)``
| ├─suggestion: Insert '-(_,[String],_)' for 'func join(_ other: DataFrame, _ usingColumns: [String], _ joinType: String = "inner") async -> DataFrame'
| ╰─suggestion: Insert '-(_,String,_)' for 'func join(_ right: DataFrame, _ usingColumn: String, _ joinType: String = "inner") async -> DataFrame'
132 | /// - ``join(_:joinExprs:)``
133 | /// - ``join(_:joinExprs:joinType:)``
warning: 'join(_:joinExprs:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:132:9-132:27
130 | /// - ``join(_:)``
131 | /// - ``join(_:_:_:)``
132 + /// - ``join(_:joinExprs:)``
| ├─suggestion: Insert '-(_,Column)' for 'func join(_ right: DataFrame, joinExprs: Column) async -> DataFrame'
| ╰─suggestion: Insert '-(_,String)' for 'func join(_ right: DataFrame, joinExprs: String) async -> DataFrame'
133 | /// - ``join(_:joinExprs:joinType:)``
134 | /// - ``crossJoin(_:)``
warning: 'join(_:joinExprs:joinType:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:133:9-133:36
131 | /// - ``join(_:_:_:)``
132 | /// - ``join(_:joinExprs:)``
133 + /// - ``join(_:joinExprs:joinType:)``
| ├─suggestion: Insert '-(_,Column,_)' for 'func join(_ right: DataFrame, joinExprs: Column, joinType: String) async -> DataFrame'
| ╰─suggestion: Insert '-(_,String,_)' for 'func join(_ right: DataFrame, joinExprs: String, joinType: String) async -> DataFrame'
134 | /// - ``crossJoin(_:)``
135 | /// - ``lateralJoin(_:)``
warning: 'repartition(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:150:9-150:24
148 | ///
149 | /// ### Partitioning
150 + /// - ``repartition(_:)``
| ├─suggestion: Insert '-(Int32)' for 'func repartition(_ numPartitions: Int32) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func repartition(_ partitionExprs: String...) -> DataFrame'
151 | /// - ``repartition(_:_:)``
152 | /// - ``repartitionByExpression(_:_:)``
warning: 'explain(_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:172:9-172:20
170 | /// - ``printSchema(_:)``
171 | /// - ``explain()``
172 + /// - ``explain(_:)``
| ├─suggestion: Insert '-(Bool)' for 'func explain(_ extended: Bool) async throws'
| ╰─suggestion: Insert '-(String)' for 'func explain(_ mode: String) async throws'
173 | ///
174 | /// ### View Creation
warning: 'sample(_:_:)' is ambiguous at '/SparkConnect/DataFrame'
--> ../DataFrame.swift:187:9-187:21
185 | /// ### Sampling
186 | /// - ``sample(_:_:_:)``
187 + /// - ``sample(_:_:)``
| ├─suggestion: Insert '-(_,Int64)' for 'func sample(_ fraction: Double, _ seed: Int64) -> DataFrame'
| ╰─suggestion: Insert '-(Bool,_)' for 'func sample(_ withReplacement: Bool, _ fraction: Double) -> DataFrame'
188 | /// - ``sample(_:)``
189 | ///
warning: 'saveAsTable' doesn't exist at '/SparkConnect/DataFrameWriter/insertInto(_:)'
--> ../DataFrameWriter.swift:134:74-134:85
132 |
133 | /// Inserts the content of the ``DataFrame`` to the specified table. It requires that the schema of
134 + /// the ``DataFrame`` is the same as the schema of the table. Unlike ``saveAsTable``,
135 | /// ``insertInto`` ignores the column names and just uses position-based resolution.
136 | /// - Parameter tableName: A table name.
warning: 'insertInto' doesn't exist at '/SparkConnect/DataFrameWriter/insertInto(_:)'
--> ../DataFrameWriter.swift:135:9-135:19
133 | /// Inserts the content of the ``DataFrame`` to the specified table. It requires that the schema of
134 | /// the ``DataFrame`` is the same as the schema of the table. Unlike ``saveAsTable``,
135 + /// ``insertInto`` ignores the column names and just uses position-based resolution.
136 | /// - Parameter tableName: A table name.
137 | public func insertInto(_ tableName: String) async throws {
warning: Return value documented for instance method returning void
--> ../DataFrameWriter.swift:191:7-191:32
189 | /// Saves the content of the `DataFrame` in CSV format at the specified path.
190 | /// - Parameter path: A path string
191 + /// - Returns: A `DataFrame`.
| ╰─suggestion: Remove return value documentation
192 | public func csv(_ path: String) async throws {
193 | self.source = "csv"
warning: Return value documented for instance method returning void
--> ../DataFrameWriter.swift:199:7-199:32
197 | /// Saves the content of the `DataFrame` in JSON format at the specified path.
198 | /// - Parameter path: A path string
199 + /// - Returns: A `DataFrame`.
| ╰─suggestion: Remove return value documentation
200 | public func json(_ path: String) async throws {
201 | self.source = "json"
warning: Return value documented for instance method returning void
--> ../DataFrameWriter.swift:207:7-207:32
205 | /// Saves the content of the `DataFrame` in XML format at the specified path.
206 | /// - Parameter path: A path string
207 + /// - Returns: A `DataFrame`.
| ╰─suggestion: Remove return value documentation
208 | public func xml(_ path: String) async throws {
209 | self.source = "xml"
warning: Return value documented for instance method returning void
--> ../DataFrameWriter.swift:215:7-215:32
213 | /// Saves the content of the `DataFrame` in ORC format at the specified path.
214 | /// - Parameter path: A path string
215 + /// - Returns: A `DataFrame`.
| ╰─suggestion: Remove return value documentation
216 | public func orc(_ path: String) async throws {
217 | self.source = "orc"
warning: 'bucket(_:_:)' is ambiguous at '/SparkConnect'
--> ../DataFrameWriterV2.swift:85:28-85:40
83 | /// Partition the output table created by `create`, `createOrReplace`, or `replace` using the
84 | /// given columns or transforms like ``years(_:)``, ``months(_:)``, ``days(_:)``,
85 + /// ``hours(_:)``, and ``bucket(_:_:)``.
| ├─suggestion: Insert '-(Column,_)' for 'func bucket(_ numBuckets: Column, _ col: Column) -> Column'
| ╰─suggestion: Insert '-(Int32,_)' for 'func bucket(_ numBuckets: Int32, _ col: Column) -> Column'
86 | /// - Parameter columns: Columns or transforms to partition
87 | /// - Returns: A ``DataFrameWriterV2``.
warning: 'date_add(_:_:)' is ambiguous at '/SparkConnect'
--> ../DateTimeFunctions.swift:177:79-177:93
175 | }
176 |
177 + /// Returns the date that is `days` days after `start`. This is an alias of ``date_add(_:_:)``.
| ├─suggestion: Insert '-(_,Column)' for 'func date_add(_ start: Column, _ days: Column) -> Column'
| ╰─suggestion: Insert '-(_,Int32)' for 'func date_add(_ start: Column, _ days: Int32) -> Column'
178 | /// - Parameters:
179 | /// - start: A date ``Column``.
warning: 'option(_:_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:7:94-7:106
5 | ## Overview
6 |
7 + `DataFrameReader` is obtained via ``SparkSession/read``. Configure it with ``format(_:)``, ``option(_:_:)``, and ``schema(_:)``, then call a format-specific loader (e.g., ``csv(_:)``, ``orc(_:)``) or the generic ``load()`` / ``load(_:)``.
| ├─suggestion: Insert '-(_,Bool)' for 'func option(_ key: String, _ value: Bool) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Double)' for 'func option(_ key: String, _ value: Double) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Int)' for 'func option(_ key: String, _ value: Int) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Int64)' for 'func option(_ key: String, _ value: Int64) -> DataFrameReader'
| ╰─suggestion: Insert '-(_,String)' for 'func option(_ key: String, _ value: String) -> DataFrameReader'
8 |
9 | ```swift
warning: 'schema(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:7:116-7:126
5 | ## Overview
6 |
7 + `DataFrameReader` is obtained via ``SparkSession/read``. Configure it with ``format(_:)``, ``option(_:_:)``, and ``schema(_:)``, then call a format-specific loader (e.g., ``csv(_:)``, ``orc(_:)``) or the generic ``load()`` / ``load(_:)``.
| ├─suggestion: Insert '-(String)' for '@discardableResult func schema(_ schema: String) async throws -> DataFrameReader'
| ╰─suggestion: Insert '-(StructType)' for '@discardableResult func schema(_ schema: StructType) async throws -> DataFrameReader'
8 |
9 | ```swift
warning: 'csv(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:7:174-7:181
5 | ## Overview
6 |
7 + `DataFrameReader` is obtained via ``SparkSession/read``. Configure it with ``format(_:)``, ``option(_:_:)``, and ``schema(_:)``, then call a format-specific loader (e.g., ``csv(_:)``, ``orc(_:)``) or the generic ``load()`` / ``load(_:)``.
| ├─suggestion: Insert '-(DataFrame)' for 'func csv(_ csvDataset: DataFrame) async -> DataFrame'
| ├─suggestion: Insert '-(String)' for 'func csv(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func csv(_ paths: String...) -> DataFrame'
8 |
9 | ```swift
warning: 'orc(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:7:187-7:194
5 | ## Overview
6 |
7 + `DataFrameReader` is obtained via ``SparkSession/read``. Configure it with ``format(_:)``, ``option(_:_:)``, and ``schema(_:)``, then call a format-specific loader (e.g., ``csv(_:)``, ``orc(_:)``) or the generic ``load()`` / ``load(_:)``.
| ├─suggestion: Insert '-(String)' for 'func orc(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func orc(_ paths: String...) -> DataFrame'
8 |
9 | ```swift
warning: 'load(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:7:228-7:236
5 | ## Overview
6 |
7 + `DataFrameReader` is obtained via ``SparkSession/read``. Configure it with ``format(_:)``, ``option(_:_:)``, and ``schema(_:)``, then call a format-specific loader (e.g., ``csv(_:)``, ``orc(_:)``) or the generic ``load()`` / ``load(_:)``.
| ├─suggestion: Insert '-(String)' for 'func load(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-([String])' for 'func load(_ paths: [String]) -> DataFrame'
8 |
9 | ```swift
warning: 'option(_:_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:31:5-31:17
29 |
30 | - ``format(_:)``
31 + - ``option(_:_:)``
| ├─suggestion: Insert '-(_,Bool)' for 'func option(_ key: String, _ value: Bool) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Double)' for 'func option(_ key: String, _ value: Double) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Int)' for 'func option(_ key: String, _ value: Int) -> DataFrameReader'
| ├─suggestion: Insert '-(_,Int64)' for 'func option(_ key: String, _ value: Int64) -> DataFrameReader'
| ╰─suggestion: Insert '-(_,String)' for 'func option(_ key: String, _ value: String) -> DataFrameReader'
32 | - ``schema(_:)``
33 |
warning: 'schema(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:32:5-32:15
30 | - ``format(_:)``
31 | - ``option(_:_:)``
32 + - ``schema(_:)``
| ├─suggestion: Insert '-(String)' for '@discardableResult func schema(_ schema: String) async throws -> DataFrameReader'
| ╰─suggestion: Insert '-(StructType)' for '@discardableResult func schema(_ schema: StructType) async throws -> DataFrameReader'
33 |
34 | ### Generic Loading
warning: 'load(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:37:5-37:13
35 |
36 | - ``load()``
37 + - ``load(_:)``
| ├─suggestion: Insert '-(String)' for 'func load(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-([String])' for 'func load(_ paths: [String]) -> DataFrame'
38 | - ``table(_:)``
39 |
warning: 'csv(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:42:5-42:12
40 | ### CSV
41 |
42 + - ``csv(_:)``
| ├─suggestion: Insert '-(DataFrame)' for 'func csv(_ csvDataset: DataFrame) async -> DataFrame'
| ├─suggestion: Insert '-(String)' for 'func csv(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func csv(_ paths: String...) -> DataFrame'
43 |
44 | ### JSON
warning: 'json(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:46:5-46:13
44 | ### JSON
45 |
46 + - ``json(_:)``
| ├─suggestion: Insert '-(DataFrame)' for 'func json(_ jsonDataset: DataFrame) async -> DataFrame'
| ├─suggestion: Insert '-(String)' for 'func json(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func json(_ paths: String...) -> DataFrame'
47 |
48 | ### XML
warning: 'xml(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:50:5-50:12
48 | ### XML
49 |
50 + - ``xml(_:)``
| ├─suggestion: Insert '-(String)' for 'func xml(_ path: String) -> DataFrame'
| ├─suggestion: Insert '-(String...)' for 'func xml(_ paths: String...) -> DataFrame'
| ╰─suggestion: Insert '-(DataFrame)' for 'func xml(_ xmlDataset: DataFrame) async -> DataFrame'
51 |
52 | ### Parquet
warning: 'parquet(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:54:5-54:16
52 | ### Parquet
53 |
54 + - ``parquet(_:)``
| ├─suggestion: Insert '-(String)' for 'func parquet(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func parquet(_ paths: String...) -> DataFrame'
55 |
56 | ### ORC
warning: 'orc(_:)' is ambiguous at '/SparkConnect/DataFrameReader'
--> DataFrameReader.md:58:5-58:12
56 | ### ORC
57 |
58 + - ``orc(_:)``
| ├─suggestion: Insert '-(String)' for 'func orc(_ path: String) -> DataFrame'
| ╰─suggestion: Insert '-(String...)' for 'func orc(_ paths: String...) -> DataFrame'
59 |
60 | ### JDBC
warning: 'addArtifact(_:)' is ambiguous at '/SparkConnect/SparkSession'
--> SparkSession.md:82:5-82:20
80 | ### Artifacts & External Commands
81 |
82 + - ``addArtifact(_:)``
| ├─suggestion: Insert '-(String)' for 'func addArtifact(_ path: String) async throws'
| ╰─suggestion: Insert '-(URL)' for 'func addArtifact(_ url: URL) async throws'
83 | - ``addArtifacts(_:)``
84 | - ``executeCommand(_:_:_:)``
warning: ' MergeIntoWriter' doesn't exist at '/SparkConnect/WhenNotMatched/insertAll()'
--> ../MergeIntoWriter.swift:64:23-64:39
62 |
63 | /// Specifies an action to insert all non-matched rows into the ``DataFrame``.
64 + /// - Returns: The`` MergeIntoWriter`` instance with the insert all action configured.
65 | public func insertAll() async -> MergeIntoWriter {
66 | await mergeIntoWriter.insertAll(condition)
warning: Parameter 'timeout' not found in instance method declaration
--> ../StreamingQuery.swift:164:19-164:26
162 | /// immediately (if the query was terminated by `stop()`), or throw the exception immediately
163 | /// (if the query has terminated with exception).
164 + /// - Parameter timeout: A timeout in milliseconds.
| ╰─suggestion: Replace 'timeout' with 'timeoutMs'
165 | /// - Returns: True on termination.
166 | public func awaitTermination(_ timeoutMs: Int64? = nil) async throws -> Bool? {
warning: Parameter 'timeoutMs' is missing documentation
--> ../StreamingQuery.swift:164:54-164:54
162 | /// immediately (if the query was terminated by `stop()`), or throw the exception immediately
163 | /// (if the query has terminated with exception).
164 + /// - Parameter timeout: A timeout in milliseconds.
| ╰─suggestion: Document 'timeoutMs' parameter
165 | /// - Returns: True on termination.
166 | public func awaitTermination(_ timeoutMs: Int64? = nil) async throws -> Bool? {
warning: '`eventId` INT NOT NULL' doesn't exist at '/SparkConnect/StructField/toDDL'
--> ../StructType.swift:35:14-35:36
33 |
34 | /// A string containing this field in DDL format like Spark SQL's `StructField.toDDL`,
35 + /// e.g. `` `eventId` INT NOT NULL ``.
36 | public var toDDL: String {
37 | "\(quoteIfNeeded(name)) \(dataType.sql)\(nullable ? "" : " NOT NULL")"
warning: 'parse_url(_:_:)' is ambiguous at '/SparkConnect'
--> ../UrlFunctions.swift:63:64-63:79
61 | }
62 |
63 + /// Extracts a part from a URL. This is a special version of ``parse_url(_:_:)`` that returns
| ├─suggestion: Insert '-(_,Column)' for 'func parse_url(_ url: Column, _ partToExtract: Column) -> Column'
| ╰─suggestion: Insert '-(_,String)' for 'func parse_url(_ url: Column, _ partToExtract: String) -> Column'
64 | /// a `NULL` value instead of raising an error if the URL is invalid.
65 | /// This requires Apache Spark 4.0.0 or later.
warning: 'parse_url(_:_:)' is ambiguous at '/SparkConnect'
--> ../UrlFunctions.swift:75:64-75:79
73 | }
74 |
75 + /// Extracts a part from a URL. This is a special version of ``parse_url(_:_:)`` that returns
| ├─suggestion: Insert '-(_,Column)' for 'func parse_url(_ url: Column, _ partToExtract: Column) -> Column'
| ╰─suggestion: Insert '-(_,String)' for 'func parse_url(_ url: Column, _ partToExtract: String) -> Column'
76 | /// a `NULL` value instead of raising an error if the URL is invalid.
77 | /// This requires Apache Spark 4.0.0 or later.
warning: 'parse_url(_:_:_:)' is ambiguous at '/SparkConnect'
--> ../UrlFunctions.swift:88:7-88:24
86 |
87 | /// Extracts the value of a query parameter from a URL. This is a special version of
88 + /// ``parse_url(_:_:_:)`` that returns a `NULL` value instead of raising an error if the URL
| ├─suggestion: Insert '-(_,Column,_)' for 'func parse_url(_ url: Column, _ partToExtract: Column, _ key: Column) -> Column'
| ╰─suggestion: Insert '-(_,String,_)' for 'func parse_url(_ url: Column, _ partToExtract: String, _ key: String) -> Column'
89 | /// is invalid.
90 | /// This requires Apache Spark 4.0.0 or later.
warning: 'parse_url(_:_:_:)' is ambiguous at '/SparkConnect'
--> ../UrlFunctions.swift:101:7-101:24
99 |
100 | /// Extracts the value of a query parameter from a URL. This is a special version of
101 + /// ``parse_url(_:_:_:)`` that returns a `NULL` value instead of raising an error if the URL
| ├─suggestion: Insert '-(_,Column,_)' for 'func parse_url(_ url: Column, _ partToExtract: Column, _ key: Column) -> Column'
| ╰─suggestion: Insert '-(_,String,_)' for 'func parse_url(_ url: Column, _ partToExtract: String, _ key: String) -> Column'
102 | /// is invalid.
103 | /// This requires Apache Spark 4.0.0 or later.
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