Hello,    I am trying to use hbase-spark in order to query over Hbase with spark-sql, but I am stuck with some of these exceptions:  java.lang.NullPointerException or  java.lang.NoSuchMethodError: org.apache.hadoop.hbase.util.ByteStringer.wrap([B)Lcom/google/protobuf/ByteString;   Contents :  1- Details on the platform  2- Details on the problem 3- Description of the attached content   1- A Cloudera cluster running CDH-6.3.4   2- I run a (POC) Java application with spark-submit in yarn cluster mode. What the application does is to sequencially  :   - Create a Hbase table and populate it using the Java API  - Use a spark-session to read the hbase table (using .format("org.apache.hadoop.hbase.spark") )  - Perform some queries on the Dataframe.    For now, I only got partial success on the last step. I can show the contents of the dataframe with this for example :  Dataset<Row> sqlDF1 = sqlContext.sql("SELECT * FROM census2"); sqlDF1.show(100, false);  But the following code fails with one of the two exceptions listed at the start of the post :  Dataset<Row> sqlDF2 = sqlContext.sql("SELECT * FROM census2 WHERE ID1 LIKE '____|001_|%'"); sqlDF2.show(100, false); Concerning this exception :  java.lang.NoSuchMethodError: org.apache.hadoop.hbase.util.ByteStringer.wrap([B)Lcom/google/protobuf/ByteString;   I see that the class is provided by the hbase-protocol project, as can be seen here : hbase/ByteStringer.java at rel/2.1.0 · apache/hbase · GitHub   I included the jar with the --jar option in the spark-submit, and it is also present in the uber-jar that is launched. So I don't see why I get this error.  I tried to use both hbase-spark 2.1.0-cdh6.3.4 maven-central dependency as well as a hbase-spark library that I compiled myself, but it did not help. I also tried to add this to my sparksession :  // .config("spark.jars", "hbase-spark-1.0.0.jar:hbase-protocol-2.1.0.jar") But then I get NullPointerException and cannot even print the dataframes.  I also tried to add :  .option("hbase.spark.use.hbasecontext", false) when reading the dataframe (as I found someone suggesting that) but it did not help either.   3- Description of the attached content   - Main.java.txt => the code of the sample application - launcher.sh.txt => the bash code used to launch the application - jars_and_classpaths.txt => the jars passed to the --jars command, as well as the java client classpath - mvn_dependency_tree.txt => the results of the command mvn dependency:tree   I am stuck here, could someone help me ?    Thanks a lot     ... View more