feat(glue): support glue version 4.0 (aws#23223)

https://aws.amazon.com/blogs/aws/new-aws-glue-4-0-new-and-updated-engines-more-data-formats-and-more/

closes aws#23220

----

### All Submissions:

* [x] Have you followed the guidelines in our [Contributing guide?](https://github.com/aws/aws-cdk/blob/main/CONTRIBUTING.md)

### Adding new Construct Runtime Dependencies:

* [ ] This PR adds new construct runtime dependencies following the process described [here](https://github.com/aws/aws-cdk/blob/main/CONTRIBUTING.md/#adding-construct-runtime-dependencies)

### New Features

* [x] Have you added the new feature to an [integration test](https://github.com/aws/aws-cdk/blob/main/INTEGRATION_TESTS.md)?
	* [x] Did you use `yarn integ` to deploy the infrastructure and generate the snapshot (i.e. `yarn integ` without `--dry-run`)?

*By submitting this pull request, I confirm that my contribution is made under the terms of the Apache-2.0 license*

packages/@aws-cdk/aws-glue/README.md

@@ -45,7 +45,7 @@ An ETL job processes data in batches using Apache Spark.
 declare const bucket: s3.Bucket;
 new glue.Job(this, 'ScalaSparkEtlJob', {
   executable: glue.JobExecutable.scalaEtl({
-    glueVersion: glue.GlueVersion.V2_0,
+    glueVersion: glue.GlueVersion.V4_0,
     script: glue.Code.fromBucket(bucket, 'src/com/example/HelloWorld.scala'),
     className: 'com.example.HelloWorld',
     extraJars: [glue.Code.fromBucket(bucket, 'jars/HelloWorld.jar')],
@@ -61,7 +61,7 @@ A Streaming job is similar to an ETL job, except that it performs ETL on data st
 ```ts
 new glue.Job(this, 'PythonSparkStreamingJob', {
   executable: glue.JobExecutable.pythonStreaming({
-    glueVersion: glue.GlueVersion.V2_0,
+    glueVersion: glue.GlueVersion.V4_0,
     pythonVersion: glue.PythonVersion.THREE,
     script: glue.Code.fromAsset(path.join(__dirname, 'job-script/hello_world.py')),
   }),

packages/@aws-cdk/aws-glue/lib/job-executable.ts

@@ -29,6 +29,11 @@ export class GlueVersion {
    */
   public static readonly V3_0 = new GlueVersion('3.0');
 
+  /**
+   * Glue version using Spark 3.3.0 and Python 3.10
+   */
+  public static readonly V4_0 = new GlueVersion('4.0');
+
   /**
    * Custom Glue version
    * @param version custom version
@@ -292,7 +297,7 @@ export class JobExecutable {
       if (config.language !== JobLanguage.PYTHON) {
         throw new Error('Python shell requires the language to be set to Python');
       }
-      if ([GlueVersion.V0_9, GlueVersion.V2_0, GlueVersion.V3_0].includes(config.glueVersion)) {
+      if ([GlueVersion.V0_9, GlueVersion.V2_0, GlueVersion.V3_0, GlueVersion.V4_0].includes(config.glueVersion)) {
         throw new Error(`Specified GlueVersion ${config.glueVersion.name} does not support Python Shell`);
       }
     }

packages/@aws-cdk/aws-glue/test/integ.job.js.snapshot/aws-glue-job.assets.json

@@ -1,5 +1,5 @@
 {
-  "version": "21.0.0",
+  "version": "22.0.0",
   "files": {
     "432033e3218068a915d2532fa9be7858a12b228a2ae6e5c10faccd9097b1e855": {
       "source": {
@@ -14,15 +14,15 @@
         }
       }
     },
-    "3d4fb124b6f262a7f5f621715b1437dcf5af3450121d622990f89e94fd55d8f5": {
+    "0985af21379e9d6e1cba091105ecb533ee38a96b4c738816daf17d951a0752b4": {
       "source": {
         "path": "aws-glue-job.template.json",
         "packaging": "file"
       },
       "destinations": {
         "current_account-current_region": {
           "bucketName": "cdk-hnb659fds-assets-${AWS::AccountId}-${AWS::Region}",
-          "objectKey": "3d4fb124b6f262a7f5f621715b1437dcf5af3450121d622990f89e94fd55d8f5.json",
+          "objectKey": "0985af21379e9d6e1cba091105ecb533ee38a96b4c738816daf17d951a0752b4.json",
           "assumeRoleArn": "arn:${AWS::Partition}:iam::${AWS::AccountId}:role/cdk-hnb659fds-file-publishing-role-${AWS::AccountId}-${AWS::Region}"
         }
       }