Accessing Hive using JdbcIO in apache beam throws java.lang.NoClassDefFoundError: org/apache/avro/reflect/AvroSchema - google-cloud-dataflow

Question

I could access my mysql table using JDBCIO and Avro Coder. Now I am trying to load my hive database using JdbcIO.
Below exception has thrown while connecting to hive from dataflow. Any help from the beam geeks would be really helpful.
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/avro/reflect/AvroSchema
at org.apache.beam.sdk.coders.AvroCoder$AvroDeterminismChecker.recurse(AvroCoder.java:426)
at org.apache.beam.sdk.coders.AvroCoder$AvroDeterminismChecker.check(AvroCoder.java:419)
at org.apache.beam.sdk.coders.AvroCoder.<init>(AvroCoder.java:259)
at org.apache.beam.sdk.coders.AvroCoder.of(AvroCoder.java:120)
at com.google.cloud.bigquery.csv.loader.GoogleSQLPipeline.main(GoogleSQLPipeline.java:101)
Caused by: java.lang.ClassNotFoundException: org.apache.avro.reflect.AvroSchema
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 5 more
Below code snippet is trying to access hive :
dataflowPipeline
.apply(JdbcIO.<Customer>read()
.withDataSourceConfiguration(JdbcIO.DataSourceConfiguration
.create("org.apache.hive.jdbc.HiveDriver", "jdbc:hive2://<ip>/mydb")
.withUsername("username").withPassword("password"))
.withQuery(
"select c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk from customer")
.withRowMapper(new JdbcIO.RowMapper<Customer>() {
#Override
public Customer mapRow(ResultSet resultSet) throws Exception
POM Dependecies :
<dependencies>
<dependency>
<groupId>com.google.cloud.dataflow</groupId>
<artifactId>google-cloud-dataflow-java-sdk-all</artifactId>
<version>2.0.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.beam/beam-sdks-java-io-jdbc -->
<dependency>
<groupId>org.apache.beam</groupId>
<artifactId>beam-sdks-java-io-jdbc</artifactId>
<version>2.0.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.2.1</version>
</dependency>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8.0_131</version>
<scope>system</scope>
<systemPath>${JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.8.1</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>18.0</version>
</dependency>
<!-- slf4j API frontend binding with JUL backend -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-jdk14</artifactId>
<version>1.7.14</version>
</dependency>
</dependencies>

Answer 1

Added dependency for Avro 1.8.1 and manually imported import org.apache.avro.reflect.AvroSchema; Now that issue is solved. Again, issues related to com.google.protobuf.GeneratedMessageV3 is solved by manually importing this class.