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This is the third minor release as the follow up to the last major Squirro release 3.2.0. This release was released on .

Contents - What's in the release?

New Features

Highlights of this release includes Bug Fixes & Improvements

Fresh Installation Instructions

Please follow the regular installation steps

Upgrade Instructions

Please ensure that your current version is 3.1.0. If you are on a version older than 3.1.0, please contact support.

With release 3.2.0 onwards, we have officially dropped the support for Python 2. If your custom Python plugins are not compatible with Python 3, please refrain from upgrading to any of the Squirro 3.2.x release until you have migrated the custom Python plugins to be Python 3 compatible.

 1. Upgrade Storage Nodes and Cluster Nodes collocated on the same machine/VM
yum update java-1.8.0-openjdk
yum update squirro-storage-node-users

# update storage node
yum update squirro-storage-node

yum update squirro-cluster-node-users
yum update squirro-*

# Resolve any `rpmnew` files. We anticipate `/etc/squirro/storage.ini`, `/etc/squirro/machinelearning.ini` and `/etc/nginx/conf.d/frontend.conf` to at least be resolved.
systemctl reload nginx
squirro_restart

# Remove all orphaned python 2 packages
yum erase squirro-python27*

Resolve all the `.rpmnew` files in `/etc/squirro`. This process involves merging the changes between the `.ini` (e.g., `storage.ini`) and '.ini.rpmnew`(e.g., `storage.ini.rpmnew`) files and then eventually deleting the `.ini.rpmnew` files. Finally, restart the services with merged `.ini` files (or just use `squirro_restart` to restart all services).

 2. Upgrade Storage and Cluster Nodes when they are on different servers (and there is only one storage node and one cluster node)

Upgrade the storage node by running:

yum update java-1.8.0-openjdk
yum update squirro-storage-node-users

# update storage node
yum update squirro-storage-node

Upgrade the cluster node by running:

yum update java-1.8.0-openjdk

yum update squirro-cluster-node-users
yum update squirro-*

# Resolve any `rpmnew` files. We anticipate `/etc/squirro/storage.ini`, `/etc/squirro/machinelearning.ini` and `/etc/nginx/conf.d/frontend.conf` to at least be resolved.
systemctl reload nginx
squirro_restart

# Remove all orphaned python 2 packages
yum erase squirro-python27*

Resolve all the `.rpmnew` files in `/etc/squirro`. This process involves merging the changes between the `.ini` (e.g., `storage.ini`) and '.ini.rpmnew`(e.g., `storage.ini.rpmnew`) files and then eventually deleting the `.ini.rpmnew` files. Finally, restart the services with merged `.ini` files (or just use `squirro_restart` to restart all services).

 3. Upgrade multi-node clusters (multiple Storage Nodes and/or multiple Cluster Nodes)

Upgrade every storage nodes (one by one) by running:

yum update java-1.8.0-openjdk
yum update squirro-storage-node-users

# update storage node
yum update squirro-storage-node

Upgrade each cluster nodes by running:

yum update java-1.8.0-openjdk

yum update squirro-cluster-node-users
yum update squirro-*

# Resolve any `rpmnew` files. We anticipate `/etc/squirro/storage.ini`, `/etc/squirro/machinelearning.ini` and `/etc/nginx/conf.d/frontend.conf` to at least be resolved.
systemctl reload nginx
squirro_restart

# Remove all orphaned python 2 packages
yum erase squirro-python27*

Resolve all the `.rpmnew` files in `/etc/squirro`. This process involves merging the changes between the `.ini` (e.g., `storage.ini`) and '.ini.rpmnew`(e.g., `storage.ini.rpmnew`) files and then eventually deleting the `.ini.rpmnew` files. Finally, restart the services with merged `.ini` files (or just use `squirro_restart` to restart all services).

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