Upgrade to Java 11, dqdl 1.0.4, and Spark 3.5.7

.github/workflows/maven.yml

@@ -13,10 +13,10 @@ jobs:
 
     steps:
     - uses: actions/checkout@v3
-    - name: Set up JDK 8
+    - name: Set up JDK 11
       uses: actions/setup-java@v3
       with:
-        java-version: '8'
+        java-version: '11'
         distribution: 'corretto'
         cache: maven
     - name: Build with Maven

.github/workflows/publish.yml

@@ -67,10 +67,10 @@ jobs:
 
           aws secretsmanager get-secret-value --secret-id gpg_private_key --query SecretString --output text > "$KEY_FILE"
 
-      - name: Set up JDK 8
+      - name: Set up JDK 11
         uses: actions/setup-java@6a0805fcefea3d4657a47ac4c165951e33482018 # v4.2.2
         with:
-          java-version: '8'
+          java-version: '11'
           distribution: 'corretto'
           cache: maven
 
@@ -173,10 +173,10 @@ jobs:
         with:
           ref: ${{ matrix.spark == '3.5' && 'master' || format('release/{0}-spark-{1}', inputs.release_version, matrix.spark) }}
 
-      - name: Set up JDK 8
+      - name: Set up JDK 11
         uses: actions/setup-java@6a0805fcefea3d4657a47ac4c165951e33482018 # v4.2.2
         with:
-          java-version: '8'
+          java-version: '11'
           distribution: 'corretto'
 
       - name: Bump version and create PR

README.md

@@ -10,7 +10,7 @@ Python users may also be interested in PyDeequ, a Python interface for Deequ. Yo
 
 ## Requirements and Installation
 
-__Deequ__ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. 
+__Deequ__ depends on Java 11 or higher. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. 
 
 Available via [maven central](http://mvnrepository.com/artifact/com.amazon.deequ/deequ). 
 

pom.xml

@@ -9,16 +9,16 @@
     <version>2.0.15-spark-3.5</version>
 
     <properties>
-        <maven.compiler.source>1.8</maven.compiler.source>
-        <maven.compiler.target>1.8</maven.compiler.target>
+        <maven.compiler.source>11</maven.compiler.source>
+        <maven.compiler.target>11</maven.compiler.target>
         <encoding>UTF-8</encoding>
 
         <scala.major.version>2.12</scala.major.version>
         <scala.version>${scala.major.version}.10</scala.version>
         <artifact.scala.version>${scala.major.version}</artifact.scala.version>
         <scala-maven-plugin.version>4.8.1</scala-maven-plugin.version>
 
-        <spark.version>3.5.0</spark.version>
+        <spark.version>3.5.7</spark.version>
     </properties>
 
     <name>deequ</name>
@@ -109,7 +109,7 @@
         <dependency>
             <groupId>software.amazon.glue</groupId>
             <artifactId>dqdl</artifactId>
-            <version>1.0.0</version>
+            <version>1.0.4</version>
         </dependency>
 
         <dependency>