I have an elastic search cluster running 5.6. I plan to upgrade my cluster but i plan to do it by basically running a ES cluster 8.3 running in parallel and then moving data over to it.
The preferred way i think is to do snapshot and restore https://www.elastic.co/guide/en/elasticsearch/reference/current/snapshot-restore.html
But I am confused about what exactly Snapshot version compatibility mean :
In the above does it mean that if i take a snapshot in elasticsearch 5.6, I cannot restore directly in version 8.3 ?? (which mean I have to first move to 6.x then to 7.x and finally to 8.x ) ??
The below index compatibility matrix, however says that a version in 5.x will work in 8.x ?
Am i missing something ? or can someone help me elaborate this?
So, the underlying problem is that data written in Lucene version N, can only be read with N+1. For Elasticsearch 5 to 8 the Lucene version was always 1 greater than the ES version (so 6 to 9).
That means, both for an upgrade or a restored snapshot: If your data was written with 5.x, you can only read / restore it with 6.x. For 7.x or 8.x you'll need to reindex the data. I would do a remote reindex straight from 5.x to 8.latest if possible: https://www.elastic.co/guide/en/elasticsearch/reference/current/reindex-upgrade-remote.html
There are some small caveats but they will probably not apply to you:
This doesn't apply to source only snapshots, but those always need a reindex, so that's not going to add any benefit for you.
8.3 added a feature to still read snapshots from 5.0 on but it is slower, doesn't support all features, and it is a commercial feature (platinum license if I'm not mistaken).
Depending on what kind of data it is: If it's aging out (like logs or metrics), maybe you don't have to migrate it to the new cluster?
Related
I want to upgrade my single node elasticsearch from version 5.30 to 7.2. What is the best possible ways of doing it?
Please follow the elasticsearch official document https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html for upgrading your elasticsearch version.
Some important points to take care from upgrading 5.x to 7.3:
Elasticsearch can read indices created in the previous major version. If you have indices created in 5.x or before, you must reindex or delete them before upgrading to 7.3.1. Elasticsearch nodes will fail to start if incompatible indices are present.
Take care of things mentioned in https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html#_preparing_to_upgrade
Let me know if you need additional information.
I want to upgrade elastic search version with updated mapping( i have renamed/added/deleted some field)
how can I migrate data , any reference apprecited
Thanks
There are multiple ways to achieve that. It depends on the amount of data the cluster holds, whether maintenance downtime is acceptable or not, and do you have backward compatibility issues with the fields names/types.
A simple (but a bit costly) way to upgrade would be to spin up a new cluster with version 6.0 and reindex the data from the old cluster to the new. another method can be to upgrade to latest 5.X version (5.6) and from there do a rolling restart. from https://www.elastic.co/guide/en/elastic-stack/6.0/upgrading-elastic-stack.html : "Rolling upgrades are supported when upgrading from Elasticsearch 5.6 to 6.0.1"
We are using ElasticSearch 1.x on production for sometime now with millions of records.
We want to upgrade the version from 1.x to 6.x as:
There have been multiple updates by the company and the support for older versions is discontinued.
1.x does not support Kibana.
What's the best way to do it with explicit steps on data security?
Thanks!
I've recently did a migration from Elasticsearch 1.5 to 6.2.
Steps, that needs to be performed:
Update the mappings, there are a lot of changes that happened between those 2 versions (just as an example _all field is disable starting from 6.0). The official documentation should help you here.
After you updated the mappings you would need another cluster set up with desired version of Elasticsearch. Also update if needed your Logstash/Kibana.
Enable it to access your old cluster by adding your old cluster to the reindex.remote.whitelist in elasticsearch.yml, by doing: reindex.remote.whitelist: oldhost:9200
For each index that you need to migrate, you would need to manually create a new index in your new сluster with updated mappings from #1
Reindex from remote to pull documents from the old index into the new 6.x index
Full documentation regarding this one is available here - https://www.elastic.co/guide/en/elasticsearch/reference/current/reindex-upgrade-remote.html
I found in the official docs how to force segment merge for Elasticsearch 2.3 but not for prior version , in particular 1.6.2 which I am using. So I would like to ask if there is a way to force segment merging for older versions of Elasticsearch .
Prior to 2.x that was an optimize API
But be careful with it, running that on index with running index/update requests will hit performance hard.
I'm running an ELK stack and would like a strategy for automatically retiring logs older than a certain age... I have tried using elasticsearch-curator but it requires python 2.7 and I have python 2.6.6, and am anxious to upgrade python in case I break other packages.
Is there a similar product or does the elasticsearch api cater for such a requirement?
The older versions of curator will work with older versions of ElasticSearch ( I'm using curator version 3.1.0 with a 1.7.1 ES cluster.)
We started out using the Elasticsearch S3 archiving plugin but soon discovered certain limitations when wanting to restore data. We also experienced performance issues with the plugin, which tended to slow down the entire cluster. Since then, we have migrated to a new system in which we archive the data for us and our customers using our own code before indexing the data to Elasticsearch in a clear text format. This gives us all the flexibility we and our customers require.
You may be mistaking the dependency on a given version of the elasticsearch-py module for a version of Elasticsearch. Curator version 3.5.1 requires es-py 2.3, but works with any version of elasticsearch greater than 1.0.