Upgrading HDFS

HDFS upgrades are experimental, and details may change at any time.

HDFS currently requires a manual process to upgrade. This guide will take you through an example case, upgrading an example cluster (from our Getting Started guide) from HDFS 3.3.6 to 3.4.0.

Preparing for the worst

Upgrades can fail, and it is important to prepare for when that happens. Apache HDFS supports two ways to revert an upgrade:

Rollback: Reverts all user data to the pre-upgrade state. Requires taking the cluster offline.
Downgrade: Downgrades the HDFS software but preserves all changes made by users. Can be performed as a rolling change, keeping the cluster online.

The Stackable Operator for HDFS supports downgrading but not rollbacks.

In order to downgrade, revert the .spec.image.productVersion field, and then proceed to finalizing once the cluster is downgraded:

$ kubectl patch hdfs/simple-hdfs --patch '{"spec": {"image": {"productVersion": "3.3.6"}}}' --type=merge
hdfscluster.hdfs.stackable.tech/simple-hdfs patched

Preparing HDFS

HDFS must be configured to initiate the upgrade process. To do this, put the cluster into upgrade mode by running the following commands in an HDFS superuser environment (either a client configured with a superuser account, or from inside a NameNode pod):

$ hdfs dfsadmin -rollingUpgrade prepare
PREPARE rolling upgrade ...
Preparing for upgrade. Data is being saved for rollback.
Run "dfsadmin -rollingUpgrade query" to check the status
for proceeding with rolling upgrade
  Block Pool ID: BP-841432641-10.244.0.29-1722612757853
     Start Time: Fri Aug 02 15:49:12 GMT 2024 (=1722613752341)
  Finalize Time: <NOT FINALIZED>

$ # Then run query until the HDFS is ready to proceed
$ hdfs dfsadmin -rollingUpgrade query
QUERY rolling upgrade ...
Preparing for upgrade. Data is being saved for rollback.
Run "dfsadmin -rollingUpgrade query" to check the status
for proceeding with rolling upgrade
  Block Pool ID: BP-841432641-10.244.0.29-1722612757853
     Start Time: Fri Aug 02 15:49:12 GMT 2024 (=1722613752341)
  Finalize Time: <NOT FINALIZED>

$ # It is safe to proceed when the output indicates so, like this:
$ hdfs dfsadmin -rollingUpgrade query
QUERY rolling upgrade ...
Proceed with rolling upgrade:
  Block Pool ID: BP-841432641-10.244.0.29-1722612757853
     Start Time: Fri Aug 02 15:49:12 GMT 2024 (=1722613752341)
  Finalize Time: <NOT FINALIZED>

Starting the upgrade

Once HDFS is ready to upgrade, the HdfsCluster can be updated with the new product version:

$ kubectl patch hdfs/simple-hdfs --patch '{"spec": {"image": {"productVersion": "3.4.0"}}}' --type=merge
hdfscluster.hdfs.stackable.tech/simple-hdfs patched

Then wait until all pods have restarted, are in the Ready state, and running the new HDFS version.

This will automatically enable the NameNodes' compatibility mode, allowing them to start despite the fsImage version mismatch.

Services will be upgraded in order: JournalNodes, then NameNodes, then DataNodes.

Finalizing the upgrade

Once all HDFS pods are running the new version, the HDFS upgrade can be finalized (from the HDFS superuser environment as described in the preparation step):

$ hdfs dfsadmin -rollingUpgrade finalize
FINALIZE rolling upgrade ...
Rolling upgrade is finalized.
  Block Pool ID: BP-841432641-10.244.0.29-1722612757853
     Start Time: Fri Aug 02 15:49:12 GMT 2024 (=1722613752341)
  Finalize Time: Fri Aug 02 15:58:39 GMT 2024 (=1722614319854)

Please ensure that all NameNodes are running and available before proceeding. NameNodes that have not finalized yet will crash on launch when taken out of compatibility mode.

Finally, mark the cluster as upgraded:

$ kubectl patch hdfs/simple-hdfs --subresource=status --patch '{"status": {"deployedProductVersion": "3.4.0"}}' --type=merge
hdfscluster.hdfs.stackable.tech/simple-hdfs patched

deployedProductVersion is located in the status subresource, which will not be modified by most graphical editors, and kubectl requires the --subresource=status flag.

The NameNodes will then be restarted a final time, taking them out of compatibility mode.