Tested it on Centos 7.9, managed to install ZK and Hadoop so far with some workarounds.
1. While doing ambari-server setup encountered this error using postgresql 9.2.24 (no harm so far): Error extracting ambari-views-package-3.0.0.0-SNAPSHOT.jar 023-09-03 11:22:13,040 ERROR [main] ViewRegistry:368 - Caught exception extracting view archive /var/lib/ambari-server/resources/views/ambari-views-package-3.0.0.0-SNAPSHOT.jar. java.lang.IllegalStateException: Archive /var/lib/ambari-server/resources/views/ambari-views-package-3.0.0.0-SNAPSHOT.jar doesn't contain a view descriptor. at org.apache.ambari.server.view.ViewArchiveUtility.getViewConfigFromArchive(ViewArchiveUtility.java:75) at org.apache.ambari.server.view.ViewRegistry.extractViewArchive(ViewRegistry.java:2114) at org.apache.ambari.server.view.ViewRegistry.main(ViewRegistry.java:363) 2. While starting ambari-agent, this warning appeared (also ignored it): Some native extensions not available for module(s): simplejson, it may affect execution performance 3. While installing zookeeper, encountered "no module named yum", which fixed by applying the patch from: https://github.com/apache/ambari/pull/3751/commits/35aeae38c2a3ddb9928bc82e94f59bc3915ac67d 4. set python3 as default python 5. yum install bigtop-select Then Zookeeper installed successfully. 6.Failed to install datanode: File "/usr/lib/ambari-agent/lib/resource_management/core/sudo.py", line 148, in read_file with open(filename, 'rb', encoding=encoding) as fp: ValueError: binary mode doesn't take an encoding argument with open(filename, 'rb', encoding=encoding) as fp: content = fp.read() removed the encoding arg, and it installed Hadoop successfully. I will report back after testing other services. Sent using https://www.zoho.com/mail/ ---- On Tue, 05 Sep 2023 14:19:27 +0330 onmstester onmstester <[email protected]> wrote --- Thank you, I will try installing this ASAP. Which one of below branches did you used to build rpms: https://github.com/JiaLiangC/ambari/tree/AMBARI-26000-trunk https://github.com/JiaLiangC/ambari/tree/trunk_py3 Is it possible to merge this branch with the branch that added Ranger to the stack (https://github.com/JiaLiangC/ambari/tree/AMBARI-25929)? What would be the next stable Ambari, 2.8 or 3.0 (2.8 repo seems to be inactive recently) and do you suggest it would be GA till end of 2023? Recently I was trying to build rpms for Ambari-3 on centos8 but the rpmbuild command failed, then I used the pre-rpm directories and files and installed those on Rocky8 with some workarounds. After that tried to install hadoop using Ambari wizard but it failed with reporting many python modules missing (yum, rpm, pycurl) , I'll retry building and installing the py3-trunk on el8. Sent using https://www.zoho.com/mail/ ---- On Mon, 04 Sep 2023 10:42:29 +0330 Jialiang Cai <mailto:[email protected]> wrote --- Hi all, Due to the extensive number of files involved in the Python 3 upgrade, conducting an online review has been relatively challenging. Therefore, I collaborated with the colleague who provided this PR offline, conducting extensive review, testing, and bug-fixing work. Now, the Ambari trunk Python 3 upgrade has been successfully completed. We have passed all unit tests, and there have been no issues detected during manual deployments and blueprint automation deployments. The code changes made during the upgrade process have been organized into documentation, with reasons for the changes clearly stated to facilitate review by everyone. Additionally, the issue provides valuable information on how to compile and test this Python 3 Ambari based on CentOS 7. https://issues.apache.org/jira/browse/AMBARI-26000 The following repository provides packages for installing all dependencies for a cluster. Feel free to download and test it, and please report any issues you encounter. (This repository contains Ambari based on trunk with the Python 3 upgrade PR merged, and other big data component packages are from Apache Bigtop 3.2.) http://64.69.37.12:8089 Please note that the bandwidth and traffic for the repository I provided are limited. It's best to download it to your local machine and create your own repository for testing, which will significantly speed up the cluster installation process. Here are the steps to create a repository after downloading: ```bash yum install -y createrepo yum install -y yum-plugin-priorities # Create the yum directory mkdir -p /data1/custom_yum/packages # Put all the RPMs you need to install in the /data1/custom_yum/packages directory, then execute # Specify the 'basedir' as the location to store RPMs, it must be explicitly specified to avoid errors, it will default to the command execution directory createrepo /data1/custom_yum --basedir=/data1/custom_yum/packages # If you add or modify RPMs, you can update the repository with the following command createrepo --update -p /data1/custom_yum ``` Next, expose the repo using an HTTP proxy server. You can use Python's built-in server, which allows downloading one file at a time (slower): ```bash python -m SimpleHTTPServer 8089 ``` Or you can use the Node.js file server, which is faster: ```bash npm install --global http-server cd /data1/custom_yum http-server -p 8089 ``` To use the repository, create a repo configuration file: ```bash vi /etc/yum.repos.d/ambari_custom.repo ``` Add the following content, replacing `your_ip` with the actual IP address: ``` [c7-media] name=CentOS-$releasever - Media baseurl=http://your_ip:8089 gpgcheck=0 enabled=1 priority=2 ``` Then, clean the cache and run the following command for testing: ```bash yum clean all yum makecache yum install hadoop_3_2_0 ``` Happy testing!
