The existing application is running in elasticsearch. The functionality of the application covers.
MLT search
synonym search
stopwords
multilingual search
Filtered search
kibana dashboard uses aggregations to show the metrics in the dashboard.
Is it possible to achieve all these functionality in azure-search ?
Azure Search doesn't integrate with Kibana and doesn't support aggregations. All the other functionalities you mentioned are supported in Azure Search. Hope that helps.
Related
I just started learning Elastic Search and doing so I came across Django Elastic Search . SO my question is that whether they both are same or different. Also if you can give a little detail about both . Thnaku
Elasticsearch is an search engine buit on top of Apache Lucene, it allows you to index and search for data using REST and JSON, you can read more about it in the official site.
Django Elasticsearch is a django package to integrate with elasticsearch, it is a client built on top of the official elasticsearch python client, it allows you to integrate your application with elasticsearch, you can read more about it here.
To resume, Django Elasticsearch is a client to integrate Django applications with Elasticsearch.
So I have Kibana set up with my data in it. About 3 indices.
Recently I've deployed Elastic Enterprise Search And im testing out Elastic App Search, but I have no data in it.
My question therefore is, can I somehow migrate or sync my data inside Kibana into Elastic App Search?
Sorry, migration of Elasticsearch indices to Elastic App Search is not available as of now.
Even though it looks like Kibana is holding the data, but actually Elasticsearch is the datastore behind it. App Search is a layer on top of Elasticsearch which manages the indexes, schema, documents etc.
If you're directly ingesting data into Elasticsearch, at this moment it is not possible to automatically migrate to Elastic App Search.
I want to integrate App Search in my project. App search runs fine out of the box. But I have an application that is running on Elasticsearch, I was wondering if I could use this existing index as a backend for App search? If No, is it because documents are indexed differently for App Search engine compared to Elasticsearch? Also, why can't I access App search documents on my elasticsearch cluster (localhost:9200)?
can kibana's console (in Dev Tools) be used for writing and implementing elasticsearch ? I am new to elasticsearch and very confused when it comes to doing hands-on it. thank you in advance.
kibana Dev tools makes calling elastic search API's easier so you can develop what ever you want in kibana Dev tools to make aggregation call or make query string to call the API's.
on the other hand you should use it with an SDK in your application like Elasticsearch JS for javascript so you can use the developed queries and aggregations in kibana to be used in your application and more you can monitor your shards health or put mapping for your indexes and more of functionality which can be found in Documentation, Although, you can find JS API's Documentation here
You can use Kibana Dev Tools to invoke REST API commands to perform cluster level actions such as taking snapshots, restore etc and also index simple documents. But, if you are looking to writing data to Elastic on a regular basis like ingesting server/ app logs or server metrics (CPU, memory, Disk usage etc) you should look at installing filebeats or metricbeats.
I'm trying to add a role based access control over Kibana to have different privileges and dashboards for different types of users and I found those projects:
Elastic Shield Plugin
Search Guard Kibana Multitenancy Module
Elasticsearch Read Only Rest Plugin
Kibana plugin Own Home
What I found is that:
Elastic Shield (now called X-Pack) is the best, but unfortunately it's only 30 days free trial.
search guard module is a little complicated and it does the job, but it's not for free for commercial use which isn't suitable for my case.
ReadonlyREST plugin allows you to define which user reads which data, and their Enterprise Kibana plugin (non-free) also allows you to assign kibana indices to groups or users.
Kibana Plugin Own Home is a workaround solution as it defines different kibana index for different user which isn't practical.
If you know any other projects or any workaround for the mentioned projects above that satisfies my requirements, I'd be so grateful.
Disclaimer: I work for floragunn, makers of Search Guard.
The only real way to separate dashboards and visualizations based on users/tenants is to place them in separate Kibana indices. This is what both Search Guard and Own Home does.
The reason for this is how Kibana works internally: Out of the box, Kibana will place all of these objects in one global Kibana index, shared by all users. Since Kibana itself has no notion of users, roles or tenants, the only way to do it is to intercept the calls to the Kibana index, and rewrite the index name based on the provided user/role information.
Search Guard does this directly on Elasticsearch level, so the tenant
dashboards are separated even if you access Elasticsearch directly.
Own Home does that on Kibana level, but the effect/outcome is
basically the same.
X-Pack does not have multi-tenancy for Kibana, so
there's no separation of dashboards, only access control on Elasticsearch. Same is true for ReadOnly Rest.
One other option you have is to use the Red Hat OpenShift platform. They have an Elasticsearch plugin that is integrated with the Community Edition of Search Guard, and their own Kibana multi-tenancy module. As far as I know, this plugin is completely free.
This use case is now completely supported by ReadonlyREST via the Enterprise Kibana plugin.
And it comes with a lot more multitenancy/multiuser related features:
Remove certain Kibana apps to certain users
RBAC for indices, tenancies
Read only users won't see "save", "delete", "add" buttons in the Kibana UI
I made a video months ago that shows how this looks like.
Disclaimer: I work at ReadonlyREST, happy to take questions! :-)
Open Distro for Elasticsearch is a very good opensource project for multitenancy configuration in kibana. But the problem is proper documentation is not available easily for the older versions.
Set up Multi-Tenant Kibana Access in Open Distro for Elasticsearch
Kibana multi-tenancy