Apache Spark Connect Client for Swift

Clone this repo:
  1. 8816b7c [SPARK-53777] Update `Spark Connect`-generated `Swift` source code with `4.1.0-preview2` by Dongjoon Hyun · 2 days ago main
  2. 775ac57 [SPARK-53774] Update `Spark Connect`-generated Swift code with protocgen-grpc-swift-2 v2.1.1 by Dongjoon Hyun · 2 days ago
  3. 6cc0ada [SPARK-53765] Remove Daily `integration-test-linux` GitHub Action job by Dongjoon Hyun · 3 days ago
  4. 3f8f8c8 [SPARK-53763] Update `integration-test-ubuntu-spark41` to use Spark `4.1.0-preview2` by Dongjoon Hyun · 3 days ago
  5. ef5e3fb [SPARK-53750] Use `4.1.0-preview2` instead of `RC1` by Dongjoon Hyun · 4 days ago

Apache Spark Connect Client for Swift

GitHub Actions Build Swift Version Compatibility Platform Compatibility

This is an experimental Swift library to show how to connect to a remote Apache Spark Connect Server and run SQL statements to manipulate remote data.

So far, this library project is tracking the upstream changes of Apache Arrow project's Swift-support.

Resources

Requirement

How to use in your apps

Create a Swift project.

mkdir SparkConnectSwiftApp
cd SparkConnectSwiftApp
swift package init --name SparkConnectSwiftApp --type executable

Add SparkConnect package to the dependency like the following

$ cat Package.swift
import PackageDescription

let package = Package(
  name: "SparkConnectSwiftApp",
  platforms: [
    .macOS(.v15)
  ],
  dependencies: [
    .package(url: "https://github.com/apache/spark-connect-swift.git", branch: "main")
  ],
  targets: [
    .executableTarget(
      name: "SparkConnectSwiftApp",
      dependencies: [.product(name: "SparkConnect", package: "spark-connect-swift")]
    )
  ]
)

Use SparkSession of SparkConnect module in Swift.

$ cat Sources/main.swift

import SparkConnect

let spark = try await SparkSession.builder.getOrCreate()
print("Connected to Apache Spark \(await spark.version) Server")

let statements = [
  "DROP TABLE IF EXISTS t",
  "CREATE TABLE IF NOT EXISTS t(a INT) USING ORC",
  "INSERT INTO t VALUES (1), (2), (3)",
]

for s in statements {
  print("EXECUTE: \(s)")
  _ = try await spark.sql(s).count()
}
print("SELECT * FROM t")
try await spark.sql("SELECT * FROM t").cache().show()

try await spark.range(10).filter("id % 2 == 0").write.mode("overwrite").orc("/tmp/orc")
try await spark.read.orc("/tmp/orc").show()

await spark.stop()

Run your Swift application.

$ swift run
...
Connected to Apache Spark 4.0.1 Server
EXECUTE: DROP TABLE IF EXISTS t
EXECUTE: CREATE TABLE IF NOT EXISTS t(a INT)
EXECUTE: INSERT INTO t VALUES (1), (2), (3)
SELECT * FROM t
+---+
| a |
+---+
| 2 |
| 1 |
| 3 |
+---+
+----+
| id |
+----+
| 2  |
| 6  |
| 0  |
| 8  |
| 4  |
+----+

You can find more complete examples including Spark SQL REPL, Web Server and Streaming applications in the Examples directory.

This library also supports SPARK_REMOTE environment variable to specify the Spark Connect connection string in order to provide more options.