Release Notes
Service Name: Hadoop Eco
Description: Provides release details for Kakao Cloud's Hadoop Eco.
December 27, 2024
Added Features
- Added the ability to integrate the MemStore service when creating a cluster with the Hadoop Eco - Dataflow type.
For more details, refer to the Integrate MemStore documentation. - Enhanced cluster security by adding Kerberos and Ranger configurations.
For more information, see Configure Security Details.
November 27, 2023
Added Features
- Introduced the Dataflow type, enabling users to easily build pipelines for processing and analyzing streaming data.
For more information, see the Dataflow documentation.
Updated Features
- Updated the Ubuntu image from
Ubuntu 18
toUbuntu 22
.
July 13, 2023
Service Launch
- Launched the Hadoop Eco service in the
kr-central-2
region.
Hadoop Eco is a data analytics ecosystem based on Apache Hadoop, enabling users to perform diverse operations on large datasets efficiently.
It supports open-source analytics frameworks such as Hadoop, HBase, Spark, Hive, Trino, and Kafka.
For more details, refer to the Hadoop Eco official documentation.
Added Features
- Added the following instance types:
- m1i group: m1i.xlarge, m1i.2xlarge, m1i.4xlarge, m1i.8xlarge, m1i.12xlarge, m1i.16xlarge
- r1i group: r1i.xlarge, r1i.2xlarge, r1i.4xlarge, r1i.8xlarge, r1i.12xlarge, r1i.16xlarge
March 14, 2023
Improved Features
- Improved the node instance type selection process to allow searching by instance specifications, such as vCPU and RAM.
October 20, 2022
Improved Features
- Enabled selecting arguments or option values as files from Object Storage during step 3 of job scheduling.
- Added an option to install a monitoring agent during step 5 of service integration settings.
- Enhanced the detailed view to display cluster and node monitoring information.
- Added pagination, allowing users to adjust rows per page when viewing clusters.
- Enabled viewing instance IPs in the node list within the detailed view.
July 15, 2022
Added Features
- Added support for the Trino type, enabling installation of Trino for large-scale data analysis and support for diverse data sources.
- Introduced log file storage for job scheduling.
- Added automatic security group creation with pre-configured rules required for cluster use.
- Introduced a clone feature to easily create clusters with identical specifications.
- Added scale-in/scale-out functionality to adjust the number of worker nodes in a cluster.
May 17, 2022
Improved Features
- Improved usability for cluster creation and detailed list views.
April 25, 2022
Service Launch
- Launched Hadoop Eco, a data analytics ecosystem designed to facilitate diverse operations on large datasets efficiently.
For more details, refer to the Hadoop Eco official documentation.