chore: upgrade version of JDBC driver to 2.1.0.34

Author: Luis Garza

README.md

@@ -105,7 +105,7 @@ You may use this library in your applications with the following dependency info
     spark-submit \
       --deploy-mode cluster \
       --master yarn \
-      --packages com.amazon.redshift:redshift-jdbc42:2.1.0.33,org.apache.spark:spark-avro_2.12:3.5.6,io.github.spark-redshift-community:spark-redshift_2.12:6.5.0-spark_3.5 \
+      --packages com.amazon.redshift:redshift-jdbc42:2.1.0.34,org.apache.spark:spark-avro_2.12:3.5.6,io.github.spark-redshift-community:spark-redshift_2.12:6.5.0-spark_3.5 \
       my_script.py
     ```
 

build.sbt

@@ -34,7 +34,7 @@ val publishSonatypeCentral = "true" equalsIgnoreCase System.getProperty("config.
 lazy val ItTest = config("it") extend Test
 val testSparkVersion = sys.props.get("spark.testVersion").getOrElse(sparkVersion)
 val testHadoopVersion = sys.props.get("hadoop.testVersion").getOrElse("3.3.4")
-val testJDBCVersion = sys.props.get("jdbc.testVersion").getOrElse("2.1.0.33")
+val testJDBCVersion = sys.props.get("jdbc.testVersion").getOrElse("2.1.0.34")
 // DON't UPGRADE AWS-SDK-JAVA if not compatible with hadoop version
 val testAWSJavaSDKVersion = sys.props.get("aws.testVersion").getOrElse("2.31.78")
 // access tokens for aws/shared and our own internal CodeArtifacts repo