fix(protobuf/build): Fix protobuf check jar script

metadata-integration/java/acryl-spark-lineage/README.md

@@ -24,15 +24,15 @@ When running jobs using spark-submit, the agent needs to be configured in the co
 
 ```text
 #Configuring DataHub spark agent jar
-spark.jars.packages                          io.acryl:acryl-spark-lineage:0.2.15
+spark.jars.packages                          io.acryl:acryl-spark-lineage:0.2.16
 spark.extraListeners                         datahub.spark.DatahubSparkListener
 spark.datahub.rest.server                    http://localhost:8080
 ```
 
 ## spark-submit command line
 
 ```sh
-spark-submit --packages io.acryl:acryl-spark-lineage:0.2.15 --conf "spark.extraListeners=datahub.spark.DatahubSparkListener" my_spark_job_to_run.py
+spark-submit --packages io.acryl:acryl-spark-lineage:0.2.16 --conf "spark.extraListeners=datahub.spark.DatahubSparkListener" my_spark_job_to_run.py
 ```
 
 ### Configuration Instructions:  Amazon EMR
@@ -41,7 +41,7 @@ Set the following spark-defaults configuration properties as it
 stated [here](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-spark-configure.html)
 
 ```text
-spark.jars.packages                          io.acryl:acryl-spark-lineage:0.2.15
+spark.jars.packages                          io.acryl:acryl-spark-lineage:0.2.16
 spark.extraListeners                         datahub.spark.DatahubSparkListener
 spark.datahub.rest.server                    https://your_datahub_host/gms
 #If you have authentication set up then you also need to specify the Datahub access token
@@ -56,7 +56,7 @@ When running interactive jobs from a notebook, the listener can be configured wh
 spark = SparkSession.builder
 .master("spark://spark-master:7077")
 .appName("test-application")
-.config("spark.jars.packages", "io.acryl:acryl-spark-lineage:0.2.15")
+.config("spark.jars.packages", "io.acryl:acryl-spark-lineage:0.2.16")
 .config("spark.extraListeners", "datahub.spark.DatahubSparkListener")
 .config("spark.datahub.rest.server", "http://localhost:8080")
 .enableHiveSupport()
@@ -79,7 +79,7 @@ appName("test-application")
 config("spark.master","spark://spark-master:7077")
         .
 
-config("spark.jars.packages","io.acryl:acryl-spark-lineage:0.2.13")
+config("spark.jars.packages","io.acryl:acryl-spark-lineage:0.2.16")
         .
 
 config("spark.extraListeners","datahub.spark.DatahubSparkListener")
@@ -356,6 +356,9 @@ Use Java 8 to build the project. The project uses Gradle as the build tool. To b
 + 
 ## Changelog
 
+### Version 0.2.16
+- Remove logging DataHub config into logs
+
 ### Version 0.2.15
 - Add Kafka emitter to emit lineage to kafka
 - Add File emitter to emit lineage to file

metadata-integration/java/acryl-spark-lineage/src/main/java/datahub/spark/DatahubSparkListener.java

@@ -257,7 +257,6 @@ private synchronized SparkLineageConf loadDatahubConfig(
       this.appContext.setDatabricksTags(databricksTags.orElse(null));
     }
 
-    log.info("Datahub configuration: {}", datahubConf.root().render());
     Optional<DatahubEmitterConfig> emitterConfig = initializeEmitter(datahubConf);
     SparkLineageConf sparkLineageConf =
         SparkLineageConf.toSparkLineageConf(datahubConf, appContext, emitterConfig.orElse(null));

metadata-integration/java/datahub-protobuf/scripts/check_jar.sh

@@ -39,7 +39,9 @@ jar -tvf $jarFile |\
       grep -v "darwin" |\
       grep -v "MetadataChangeProposal.avsc" |\
       grep -v "aix" |\
-      grep -v "com/sun/"
+      grep -v "com/sun/" |\
+      grep -v "VersionInfo.java" |\
+      grep -v "mime.types"
 
 if [ $? -ne 0 ]; then
   echo "✅ No unexpected class paths found in ${jarFile}"