1）Hadoop集群：

     cdh5.13.0

2）Phoenix版本：

     4.14.0-cdh5.13.2

3）Spark版本：

     SPARK2-2.4.0.cloudera1-1.cdh5.13.3

3）代码：

 df.saveToPhoenix(Map("table" -> table_name, "zkUrl" -> zkUrl))

4）截图：

 5）解决方案：

added all of the phoenix library jar paths in /etc/spark2/conf/classpath.txt as

/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-core-4.14.1-HBase-1.2.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-spark-4.14.1-HBase-1.2.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-4.14.0-cdh5.13.2-client.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-4.14.0-cdh5.13.2-hive.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-4.14.0-cdh5.13.2-queryserver.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-4.14.0-cdh5.13.2-server.jar
/opt/cloudera/parcels/APACHE_PHOENIX/lib/phoenix/phoenix-4.14.0-cdh5.13.2-thin-client.jar