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Labs

Asynchronously Searching in Elasticsearch 7.13

Occasionally, we need to ask data questions that may take some time to answer. In these situations, it is beneficial to have the option of executing said query asynchronously. In this hands-on lab, you will get to execute and manage asynchronous search queries in Elasticsearch.

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Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 1h 0m
Published
Clock icon Jan 28, 2022

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Table of Contents

  1. Challenge

    Create the Asynchronous Search

    • From the Kibana console, craft an async search query on the filebeat-7.13.4 dataset to search log messages for any mention of SSH.
    • The async search should have the wait_for_completion_timeout parameter set to 0.
    • The async search should return a hits array size of 100.
  2. Challenge

    Check the Status of the Asynchronous Search

    From the Kibana console, use the async search ID to get the status of the request.

    Note: If you did not get an async search ID, then make sure you set the wait_for_completion_timeout parameter to 0 when creating the async search.

  3. Challenge

    Get the Results of the Asynchronous Search

    From the Kibana console, use the async search ID to get the results of the request.

    Note: If you did not get an async search ID, then make sure you set the wait_for_completion_timeout parameter to 0 when creating the async search.

  4. Challenge

    Delete the Asynchronous Search

    From the Kibana console, use the async search ID to delete the request.

    Note: If you did not get an async search ID, then make sure you set the wait_for_completion_timeout parameter to 0 when creating the async search.

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