Elastic Search

Elasticsearch is a distributed, open-source search and analytics engine. You can store, search, and analyze huge volumes of data quickly. You can query Elasticsearch and in near real-time get back responses in a matter of a few milliseconds.

Prerequisites for Elasticsearch Integration

1. Authentication Credentials: Obtain the necessary credentials to connect to your Elasticsearch instance. You will need the following credentials:

   • Elasticsearch username and password.

2. Connection Details:

   • Hostname or IP address of the Elasticsearch server.
   • Port number for Elasticsearch access.

3. Firewall and Network Configuration:

   • Configure your firewall to allow communication between your application and the Elasticsearch server.

Having these essential prerequisites in place will ensure a smooth integration of Elasticsearch with your applications, facilitating efficient data management and utilization.

Configuring Connector in DronaHQ

Configure your database category using the provided details. Validate connection with Test connection and Save settings for secure database setup.

tip

DronaHQ can Auto fill crucial connection values like host, name, password, and more from the connector's connection string.

General

Field	Description
Host	Enter the Host Domain or IP
Port	Enter the Port number
Database Name	Enter the Database name
Username	Enter the Username
Password	Enter the Password

Admin

Advanced Option	Description
Connection Options	The key and value connection options in database configuration refer to specific settings (keys) and their corresponding values that dictate how the application connects to the database
Use Dynamic Database Host	Dynamically determine the host for the database connection.
Use Dynamic Database Credentials	Enable dynamic database credentials for secure and convenient management.
Whitelist IP	Enhance security by restricting database access to specific whitelisted IP addresses.

Adding Queries

Once you have successfully configured the Elasticsearch connector, you can efficiently manage user-related operations. Follow these steps to create and manage user management queries for the Search action:

1. Query Name: Assign a unique name to your user management query. This name will serve as an identifier within your Connector Library for easy access.

2. Action - Search: Within the Elasticsearch connector options, select the Search action. This action empowers you to perform customized search queries on your Elasticsearch index, allowing you to retrieve user-related data.

3. Body Configuration: Customize the search query by configuring the body parameter. Define the search terms, filters, sorting criteria, and aggregation options within the body to tailor the query according to your user management requirements.

By following these steps, you can effectively create and manage user management queries using the Elasticsearch connector's Search action. This enables you to seamlessly retrieve and work with user-related data, enhancing your application's user management capabilities.

Add query

tip

Utilize double curly brackets for incorporating dynamic variables. Prior to saving, test with sample values. Associate dynamic variables with controls/actions for real-time utilization. :::

Your saved queries will be visible beneath your connector within the Connector Library.

Supported Actions

Action	Description
search	Execute a search query.
index	Index a document.
create	Create a document.
update	Update a document.
delete	Delete a document.
bulk	Perform bulk operations.
clearScroll	Clear a scroll search context.
count	Count documents matching a query.
deleteByQuery	Delete documents matching a query.
deleteByQueryRethrottle	Rethrottle a delete-by-query request.
deleteScript	Delete a stored script.
exists	Check if a document exists.
existsSource	Check if a document with source exists.
explain	Explain a query's score.
fieldCaps	Retrieve field capabilities.
get	Get a document by ID.
getScript	Get a stored script.
getSource	Get the source of a document.
info	Get cluster information.
mget	Retrieve multiple documents by ID.
msearch	Execute multiple searches.
msearchTemplate	Execute multiple template searches.
mtermvectors	Retrieve multiple term vectors.
ping	Ping the Elasticsearch cluster.
putScript	Create or update a stored script.
rankEval	Execute the ranking evaluation API.
reindex	Reindex documents.
reindexRethrottle	Rethrottle a reindex request.
renderSearchTemplate	Render a search template.
scriptsPainlessExecute	Execute a Painless script.
scroll	Scroll through search results.
searchShards	Retrieve search shard information.
searchTemplate	Execute a search template.
termvectors	Retrieve term vectors.
updateByQuery	Update documents matching a query.
updateByQueryRethrottle	Rethrottle an update-by-query request.
cat.aliases	Show index alias information.
cat.allocation	Show shard allocation information.
cat.count	Show count of indexed documents.
cat.fielddata	Show field data statistics.
cat.health	Show cluster health information.
cat.help	Show help for the Cat APIs.
cat.indices	Show index information.
cat.master	Show master node information.
cat.nodeattrs	Show node attributes.
cat.nodes	Show node information.
cat.pendingTasks	Show pending cluster tasks.
cat.plugins	Show installed plugins.
cat.recovery	Show shard recovery information.
cat.repositories	Show snapshot repository information.
cat.segments	Show segment information.
cat.shards	Show shard information.
cat.snapshots	Show snapshot information.
cat.tasks	Show currently executing cluster tasks.
cat.templates	Show index templates.
cat.threadPool	Show thread pool information.
cluster.allocationExplain	Explain shard allocation.
cluster.getSettings	Get cluster settings.
cluster.health	Get cluster health.
cluster.pendingTasks	Show pending cluster tasks.
cluster.putSettings	Update cluster settings.
cluster.remoteInfo	Show remote cluster information.
cluster.reroute	Reroute cluster.
cluster.state	Get cluster state.
cluster.stats	Get cluster statistics.
indices.analyze	Analyze text.
indices.clearCache	Clear cache.
indices.clone	Clone index.
indices.close	Close index.
indices.create	Create index.
indices.delete	Delete index.
indices.deleteAlias	Delete index alias.
indices.deleteTemplate	Delete index template.
indices.exists	Check if index exists.
indices.existsAlias	Check if index alias exists.
indices.existsTemplate	Check if index template exists.
indices.existsType	Check if index type exists.
indices.flush	Flush index.
indices.flushSynced	Flush sync.
indices.forcemerge	Force merge.
indices.get	Get index.
indices.getAlias	Get index alias.

Using Elastic Search Connector

Search and Retrieve Data

1. Access Data Management Section or Control Action:

   • Navigate to the data management section or the control action where you want to retrieve data using the Elastic Search Connector.

2. Select Elastic Search Connector:

   • Choose the Elastic Search Connector from your available options.

   • Opt for the "Search" action to query and retrieve data from your Elasticsearch index.

     

     Elastic Search Search action

3. Configure Search Query:

   • Define your search query using the Elasticsearch Query DSL (Domain Specific Language).
   • Customize filters, sorting, aggregations, and other query parameters as needed.

4. Execute the Action Flow:

   • Configure the Connector within the Action Flow or Server Side actions.
   • Trigger the search action based on user interaction or automation triggers.

5. Process and Display Results:

   • Upon receiving the search results, process the data using scripting or transformations if required.
   • Display the retrieved data in a table, list, or other visualizations as per your application's design.