@Malrashed, If you are using Cloudera Runtime 7.1.9 then you can use either CDS 3.3 or CDS 3.5 Powered by Apache Spark as an add-on service. For more details, you can refer to this document. Please note, CDS 3.3 Powered by Apache Spark 3.3.x and CDS 3.5 Powered by Apache Spark 3.5.x are distributed as a parcel (Refer here for additional download details). There are no external Custom Service Descriptors (CSD) for Livy for Spark3 or Spark3 because they are already part of Cloudera Manager 7.11.3. In Cloudera Runtime 7.1.9, Spark 2 is the default. If you need to use Spark 3, it must be added as an add-on service. Note that Spark 2 is deprecated in Cloudera Runtime 7.1.9. Starting with Cloudera Runtime 7.3.x, Spark 3 becomes the default version ... View more

@moekraft Starting with Cloudera Runtime 7.3.x, Spark 3 is the default and integrated Spark version, and Spark 2 has been removed and is no longer supported. >> Does Spark still get installed separately or is it included with the base runtime? -- As a result, you do not need to install a separate Spark 3 parcel for CDP Private Cloud Base 7.3.x. The Spark 3 runtime is bundled within the Cloudera Runtime parcel itself so you won’t find a separate, compatible Spark 3 parcel in the support matrix or parcel repository for this version.  To proceed, simply use the Spark service that comes bundled with the Cloudera Runtime 7.3.x. After initial Cloudera Runtime 7.3.x installation, you can use the Add a Spark3 Service wizard to add and configure new service instances directly via Cloudera Manager >> Apparently Spark 3 is supported by 7.3.1 and Spark 3.5 by 7.3.1 SP1. -  Cloudera Runtime 7.3.1.100 CHF 1 bundled with Spark 3.4.x. Please refer the list of the official component versions for Cloudera Runtime 7.3.1.100 CHF 1 -  Cloudera Runtime 7.3.1.200 SP1 and latest bundled with Spark 3.5.x. Please refer the list of the official component versions for Cloudera Runtime 7.3.1.200 SP1. >> Should the support matrix be updated to reflect support for Spark 3?  - It's for CDS version support matrix, from Cloudera Runtime 7.3.x onwards you don't need CDS for Spark3, so you can refer the below release notes: https://docs.cloudera.com/cdp-private-cloud-base/7.3.1/private-release-notes/topics/rt-whats-new-spa... ... View more

@people Starting with Cloudera Runtime 7.3.x, Spark 3 is the default and integrated Spark version, and Spark 2 has been removed and is no longer supported. As a result, you do not need to install a separate Spark 3 parcel for CDP Private Cloud Base 7.3.x. The Spark 3 runtime is bundled within the Cloudera Runtime parcel itself so you won’t find a separate, compatible Spark 3 parcel in the support matrix or parcel repository for this version.  That’s why the attempt to deploy a separate Spark3 parcel triggers the conflict message you are seeing.  To proceed, simply use the Spark service that comes bundled with the Cloudera Runtime 7.3.x. After initial Cloudera Runtime 7.3.x installation, you can use the Add a Spark3 Service wizard to add and configure new service instances directly via Cloudera Manager For more details you can refer the below release notes: https://docs.cloudera.com/cdp-private-cloud-base/7.3.1/private-release-notes/topics/rt-whats-new-spark.html ... View more

Flume, Storm, Druid, Falcon, Mahout, Ambari, Pig, Sentry, and Navigator have changed or been removed in CDP with replaced components . For Storm can be replaced with Cloudera Streaming Analytics (CSA) powered by Apache Flink. Contact your Cloudera account team for more information about moving from Storm to CSA. You can refer comparing Storm and Flink  also Migrating from Storm to Flink.  ... View more

You can refer the Cloudera CDP documentation where it shows Spark MLlib using one of the Spark example applications. Also you can refer this article for Twitter Sentiment Analysis using Spark ML and Spark Streaming in Scala and it's Github source code here.  ... View more

Steps for creating jdbc hive interpreter: As the keytab location is not consistent in CDP and changes as services are restarted, we should copy keytab to a consistent location. As we use proxyuser option with hive beeline, zeppelin user must be configured to allow impersonate of another user. Follow the below config steps to create a JDBC interpreter in Zeppelin. - Copy keytab from the current process directory : # cp $(ls -1drt /var/run/cloudera-scm-agent/process/*-ZEPPELIN_SERVER | tail -1)/zeppelin.keytab /var/tmp # chown zeppelin:zeppelin /var/tmp/zeppelin.keytab - Configure core-site to allow proxyuser for zeppelin CM UI > HDFS > Configurations > Cluster-wide Advanced Configuration Snippet (Safety Valve) for core-site.xml hadoop.proxyuser.zeppelin.hosts=* hadoop.proxyuser.zeppelin.groups=* - Restart required services(must restart Hadoop and hive_on_tez service) - Configure interpreter in zeppelin with below additional properties : hive.driver org.apache.hive.jdbc.HiveDriver hive.proxy.user.property hive.server2.proxy.user hive.url jdbc:hive2://xxxxxxxxxxxx.com:2181/default;principal=hive/[email protected];serviceDiscoveryMode=zooKeeper;ssl=true;zooKeeperNamespace=hiveserver2 hive.user hive zeppelin.jdbc.keytab.location /var/tmp/zeppelin.keytab zeppelin.jdbc.principal zeppelin/[email protected] - Make sure hive.url/keytab/principal configs are set as per the environment. - Create notebook/paragraph and verify user impersonation and hive access %jdbc(hive) select current_user() ... View more