To use Hue on Amazon EMR 6.4.0, either manually start HttpFS server on the Amazon EMR master node using sudo systemctl start hadoop-httpfs, or use an Amazon EMR step. Java JDK version Corretto-8.302.08.1 (build 1.8.0_302-b08)Īpache Ranger KMS (multi-master transparent encryption) version 2.0.0 ChangesĪmazon EMR Kinesis Connector version 3.5.0ĪWS Glue Hive Metastore Client version 3.3.0 The following release notes include information for Amazon EMR release version 6.5.0. Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_282)Ĭonnectors and drivers: DynamoDB Connector 4.16.0 Later, and EMR versions 6.4.0 and later, managed scaling is now Spark shuffle data aware Spark shuffle data managed scaling optimization - For Amazon EMR versions 5.34.0 and (data that Spark redistributes across partitions to perform specific operations). On shuffle operations, see Using EMR managed scaling in Amazon EMR in the Amazon EMR Management Guide and Spark Programming Guide. On Apache Ranger-enabled Amazon EMR clusters, you can use Apache Spark SQL to insert data into or update the Apache Hive metastore tables using INSERT INTO, INSERT OVERWRITE, and ALTER TABLE. When using ALTER TABLE with Spark SQL, a partition location must be the child directory of a table location. Amazon EMR does not currently support inserting data into a partition where the partition location is different from the table location. Hive: Execution of simple SELECT queries with LIMIT clause are accelerated by stopping the query execution as soon as the number of records mentioned in LIMIT clause is fetched. Simple SELECT queries are queries that do not have GROUP BY / ORDER by clause or queries that do not have a reducer stage. For example,Īmazon EMR Hudi configurations support and improvementsĬustomers can now leverage EMR Configurations API and Reconfiguration feature to configure Hudi configurations at cluster level. EMR configures few defaults to improve user experience: A new file based configuration support has been introduced via /etc/hudi/conf/nf along the lines of other applications like Spark, Hive etc. Is configured to the cluster Hive server URL and no longer needs to be specified. This is particularly useful when running a job in Spark cluster mode, where you previously had to specify the Amazon EMR master IP. Zookeeper lock provider specific configuration, as discussed under concurrency control, which makes it easier to use Optimistic Concurrency Control (OCC).Īdditional changes have been introduced to reduce the number of configurations that you need to pass, and to infer automatically where possible: HBase specific configurations, which are useful for using HBase index with Hudi. When enabling Hive Sync, it is no longer mandatory to pass Keyword can be used to specify the partition column. HIVE_TABLE_OPT_KEY, HIVE_PARTITION_FIELDS_OPT_KEY, HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY. KEYGENERATOR_CLASS_OPT_KEY is not mandatory to pass, and can be inferred from simpler cases of Those values can be inferred from the Hudi table name and partition field. WebHDFS and HttpFS server are disabled by default. ![]() ![]() ![]() You can re-enable WebHDFS using the Hadoop configuration. HttpFS server can be started by using sudo systemctl start hadoop-httpfs. HTTPS is now enabled by default for Amazon Linux repositories.
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