[MINOR] Upgrade to Spark 3.5.2 in the docs and CI

.github/workflows/build.yml

@@ -32,7 +32,7 @@ on:
       - master
 
 env:
-  SPARK_VERSION: '3.5.1'
+  SPARK_VERSION: '3.5.2'
   HADOOP_VERSION: '3'
 
 permissions:
@@ -84,7 +84,7 @@ jobs:
           tar -xzf spark-${{ env.SPARK_VERSION }}-bin-hadoop${{ env.HADOOP_VERSION }}.tgz
           # Delete the old file
           rm spark-${{ env.SPARK_VERSION }}-bin-hadoop${{ env.HADOOP_VERSION }}.tgz
-          
+
           # Setup the Environment Variables
           echo "Apache Spark is ready to use"
           echo "SPARK_HOME=${GITHUB_WORKSPACE}/deps/spark-${{ env.SPARK_VERSION }}-bin-hadoop${{ env.HADOOP_VERSION }}" >> "$GITHUB_ENV"

README.md

@@ -35,7 +35,7 @@ Step 4: Setup the Spark Driver on localhost.
 2. Start the Spark Connect server with the following command (make sure to use a package version that matches your Spark distribution):
 
 ```
-sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:3.5.0
+sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:3.5.2
 ```
 
 Step 5: Run the example Go application.

internal/tests/integration/spark_runner.go

@@ -36,7 +36,7 @@ func StartSparkConnect() (int64, error) {
 
 	cmd := exec.Command("./sbin/start-connect-server.sh", "--wait", "--conf",
 		"spark.log.structuredLogging.enabled=false", "--packages",
-		"org.apache.spark:spark-connect_2.12:3.5.1")
+		"org.apache.spark:spark-connect_2.12:3.5.2")
 	cmd.Dir = sparkHome
 
 	stdout, _ := cmd.StdoutPipe()

quick-start.md

@@ -115,7 +115,7 @@ func main() {
 
 Download a Spark distribution (3.5.0+), unzip the folder, run command:
 ```
-sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:3.5.0
+sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:3.5.2
 ```
 
 ## Run Spark Connect Client Application