Connect Elasticsearch and spark to Build Intelligent Automations

Choose a Trigger

Elasticsearch

When this happens...

Choose an Action

spark

Automatically do this!

Enable Integrations or automations with these events of Elasticsearch and spark

Enable Integrations or automations with these events of Elasticsearch and spark

Actions

Create Document

Create Document

create a doc

Create Document ( without selecting index)

Create Document ( without selecting index)

index name is inside the document

Bulk Add Documents to an index

Bulk Add Documents to an index

add many documents in one go

Delete Index

Delete Index

delete an index

Create Index

Create Index

create an index

Search (Fuzzy search)

Search (Fuzzy search)

fuzzy search

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Frequently Asked Questions

How do I start an integration between Elasticsearch and spark?

To start, connect both your Elasticsearch and spark accounts to viaSocket. Once connected, you can set up a workflow where an event in Elasticsearch triggers actions in spark (or vice versa).

Can we customize how data from Elasticsearch is recorded in spark?

Absolutely. You can customize how Elasticsearch data is recorded in spark. This includes choosing which data fields go into which fields of spark, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Elasticsearch and spark?

The data sync between Elasticsearch and spark typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Elasticsearch to spark?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Elasticsearch and spark?

Yes, you can set conditional logic to control the flow of data between Elasticsearch and spark. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Elasticsearch

About Elasticsearch

Elasticsearch is a powerful, open-source search and analytics engine built on Apache Lucene. It is designed for horizontal scalability, real-time search, and support for multi-tenant environments.

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spark

About spark

Spark is a modern Medicare brokerage platform to manage the full lifecycle of a client from quoting to post-enrollment support.

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