Download Hadoop 2.9.2

Users of hadoop 2.x and hadoop 3.2 should also upgrade to the 3.3.x line.As well as feature enhancements, this is the sole branch currentlyreceiving fixes for anything other than critical security/data integrityissues.

emrfs, emr-ddb, emr-goodies, emr-kinesis, emr-s3-dist-cp, hadoop-client, hadoop-hdfs-datanode, hadoop-hdfs-library, hadoop-hdfs-namenode, hadoop-httpfs-server, hadoop-kms-server, hadoop-mapred, hadoop-yarn-nodemanager, hadoop-yarn-resourcemanager, hadoop-yarn-timeline-server

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[1] In addition, Apache Hadoop 0.23, 2.4.0, and 2.7.1 and later versions are supported as the Hadoop cluster that is co-located with SAS LASR Analytic Serverfor access to SASHDAT on HDFS.

[2] Includes a REST API for job submission that results in better performance.

[3] Includes support for cron syntax in coordinator frequency with Oozie. This functionality is needed to schedule flows with recurring time events.

[4] PROC SQOOP requires patches from Hortonworks: HDP 3.1 patch 3.1.0.29-2. See the Hortonworks site for instructions on applying the patch.

[5] Spark is not supported.

[6] Spark on SAS Servers running on Windows and the Cluster/Survive directive are not supported.

[7] On a public cloud, HDFS operations through the REST API are supported.

[8] Supported only with the HADOOPPLATFORM=SPARK option.

[9] Version 18 or later of the SAS Embedded Process for Hadoop is required.

[10] The latest SAS hot fixes are required.

[11] Version 19 or later of the SAS Embedded Process for Hadoop is required.

[12] Not supported for use in a public cloud environment because of the limitations of org.apache.hadoop.fs.FSDataOutputStream.

[13] Not supported for use in a public cloud environment

[14] Only SAS/ACCESS Interface to Hadoop supports CDP 7.1 with CDP Private Cloud Data Services 1.5.0. Bulk loading (BULKLOAD=YES) is not supported.

Also note that Druid automatically computes the classpath for Hadoop job containers that run in the Hadoop cluster. But in case of conflicts between Hadoop and Druid's dependencies, you can manually specify the classpath by setting druid.extensions.hadoopContainerDruidClasspath property. See the extensions config in base druid configuration.

For Google Cloud Storage, you need to install GCS connector jarunder ${DRUID_HOME}/hadoop-dependencies in all MiddleManager or Indexer processes.Once you install the GCS Connector jar in all MiddleManager and Indexer processes, you can putyour Google Cloud Storage paths in the inputSpec with the below job properties.For more configurations, see the instructions to configure Hadoop,GCS core defaultand GCS core template.

If the hadoop_security_authentication parameter has the value kerberos, ClickHouse authenticates via Kerberos.Parameters are here and hadoop_security_kerberos_ticket_cache_path may be of help.Note that due to libhdfs3 limitations only old-fashioned approach is supported,datanode communications are not secured by SASL (HADOOP_SECURE_DN_USER is a reliable indicator of suchsecurity approach). Use tests/integration/test_storage_kerberized_hdfs/hdfs_configs/bootstrap.sh for reference. e24fc04721