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What's New in RapidMiner Radoop 9.4.0?
Released:September 25th, 2019
The following improvements are part of RapidMiner Radoop 9.4.0.
Enhancement
- 对进入向前迈出的一步prise security. Radoop Proxy is capable of authenticating against the latest RapidMiner Server running inEnterprise Single Sign On (SSO)mode. Customers can use their Enterprise SSO credentials to open their way through Radoop Proxy to reach a firewalled Hadoop cluster
- RadoopProxy now uses the recently introduced repository-based connection definition framework which amongst having nicer UI, it also allowsparameter injectionandsharing connections(to ease onboarding of new users). Existing Radoop Proxy connections now can be easily converted to use the new connection framework without typing
- Ability to selectAmazon Elastic MapReduce (EMR) 5.xasHadoop versioninRadoopConnection Editor. At the same time existing EMR 4.4+ connections were renamed to EMR 4.x and got deprecated (see below)
- Added aQuick Fixoption to help the migration from a deprecated EMR 4.x Radoop Connection to EMR 5.x, allowing a safe and easy way to migrate existing Radoop Connections. Use this option if and only if the cluster is indeed having an EMR version 5.x and the Radoop Connection originally specified theAmazon Elastic MapReduce (EMR) 4.4+(since there has been no option to select EMR 5.x previously)
Bug Fix
- Updated tooltip onCustom SparkR archive pathfield
Update on support matrix
- To provide more focus on the latest development in the Hadoop ecosystem, Radoop started a deprecation process of providing connection capabilities to some specific Hadoop vendors and versions. Although no functionality was removed yet, Radoop now marks such Radoop Connections asDEPRECATEDand provides RapidMiner Process level warning during Process Execution. We plan to remove associated functionality in the upcoming releases to accommodate some time for the migration.Please reach out to your RapidMiner Support immediatelyif your business would be affected by the removal of these features. Hadoop versions in scope:Apache Hadoop 2.x,IBM Open Platform,Amazon Elastic MapReduce (EMR) 4.x,Open Data Platform,MapR 5.x,MapR 6.x
- Similarly to Hadoop versions, a deprecation process was started on some older Spark versions as well. Spark versions in scope:Spark 1.4 or below,Spark 1.5
