If you are using an Amazon S3 VPCE policy to restrict access to specific buckets, you must add the new Amazon Linux bucket ARNĪrn:aws:s3:::amazonlinux-2-repos-$region/* to your policy (replace HTTPS is now enabled by default for Amazon Linux repositories. HttpFS server can be started by using sudo systemctl start hadoop-httpfs. You can re-enable WebHDFS using the Hadoop configuration,.
WebHDFS and HttpFS server are disabled by default. 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. HIVE_TABLE_OPT_KEY, HIVE_PARTITION_FIELDS_OPT_KEY, HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY. When enabling Hive Sync, it is no longer mandatory to pass Keyword can be used to specify the partition column. 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. This is particularly useful when running a job in Spark cluster mode, where you previously had to specify the Amazon EMR master IP. Is configured to the cluster Hive server URL and no longer needs to be specified. 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. 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.
Simple SELECT queries are queries that do not have GROUP BY / ORDER by clause or queries that do not have a reducer stage. 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. Amazon EMR does not currently support inserting data into a partition where the partition location is different from the table location. When using ALTER TABLE with Spark SQL, a partition location must be the child directory of a table location.
TI CONNECT 1.6.1 BETA PATCH UPDATE
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. On shuffle operations, see Using EMR managed scaling in Amazon EMR in the Amazon EMR Management Guide and Spark Programming Guide. (data that Spark redistributes across partitions to perform specific operations). 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 Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_282)Ĭonnectors and drivers: DynamoDB Connector 4.16.0
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. 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. Hue queries do not work in Amazon EMR 6.4.0 because Apache Hadoop HttpFS server is disabled by default. The workaround is to start HttpFS server before connecting the EMR notebook to the cluster using sudo systemctl start hadoop-httpfs. In this case, the EMR notebook cannot connect to the cluster that has Livy impersonation enabled. The Amazon EMR Notebooks feature used with Livy user impersonation does not work because HttpFS is disabled by default.
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