How can I configure Spark 3.x on HDP 3.1 using headless (https://spark.apache.org/docs/latest/hadoop-provided.html) version of spark to interact with hive?
First, I have downloaded and unzipped the headless spark 3.x:
cd ~/development/software/spark-3.0.0-bin-without-hadoop
export HADOOP_CONF_DIR=/etc/hadoop/conf/
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
export SPARK_DIST_CLASSPATH=$(hadoop --config /usr/hdp/current/spark2-client/conf classpath)
ls /usr/hdp # note version ad add it below and replace 3.1.x.x-xxx with it
./bin/spark-shell --master yarn --queue myqueue --conf spark.driver.extraJavaOptions='-Dhdp.version=3.1.x.x-xxx' --conf spark.yarn.am.extraJavaOptions='-Dhdp.version=3.1.x.x-xxx' --conf spark.hadoop.metastore.catalog.default=hive --files /usr/hdp/current/hive-client/conf/hive-site.xml
spark.sql("show databases").show
// only showing default namespace, existing hive tables are missing
+---------+
|namespace|
+---------+
| default|
+---------+
spark.conf.get("spark.sql.catalogImplementation")
res2: String = in-memory # I want to see hive here - how? How to add hive jars onto the classpath?
This is an updated version of How can I run spark in headless mode in my custom version on HDP? for Spark 3.x ond HDP 3.1 and custom spark does not find hive databases when running on yarn.
Furthermore: I am aware of the problems of ACID hive tables in spark. For now, I simply want to be able to see the existing databases
We must get the hive jars onto the class path. Trying as follows:
export SPARK_DIST_CLASSPATH="/usr/hdp/current/hive-client/lib*:${SPARK_DIST_CLASSPATH}"
And now using spark-sql:
./bin/spark-sql --master yarn --queue myqueue--conf spark.driver.extraJavaOptions='-Dhdp.version=3.1.x.x-xxx' --conf spark.yarn.am.extraJavaOptions='-Dhdp.version=3.1.x.x-xxx' --conf spark.hadoop.metastore.catalog.default=hive --files /usr/hdp/current/hive-client/conf/hive-site.xml
fails with:
Error: Failed to load class org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.
Failed to load main class org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.
I.e. the line: export SPARK_DIST_CLASSPATH="/usr/hdp/current/hive-client/lib*:${SPARK_DIST_CLASSPATH}"
, had no effect (same issue if not set).
As noted above and custom spark does not find hive databases when running on yarn the Hive JARs are needed. They are not supplied in the headless version.
I was unable to retrofit these.
Solution: instead of worrying: simply use the spark build with Hadoop 3.2 (on HDP 3.1)