Point-in-time API in Elasticsearch - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

What is the output of this Point-in-time API search?

Given the following Elasticsearch search request using the Point-in-time API, what will be the total number of hits returned?

Elasticsearch

{
  "size": 2,
  "query": { "match_all": {} },
  "pit": { "id": "abc123", "keep_alive": "1m" }
}

A 2

B 0

C All documents in the index

D An error because 'pit' requires a valid PIT ID

💡 Hint

The size parameter limits the number of hits returned per search request.

The size parameter controls how many documents are returned. Even though the PIT ID is valid, the search returns only 2 hits.

❓ Predict Output

intermediate

What error does this Point-in-time API request raise?

Consider this Elasticsearch search request using the Point-in-time API with an invalid PIT ID. What error will Elasticsearch return?

Elasticsearch

{
  "size": 1,
  "query": { "match_all": {} },
  "pit": { "id": "invalid_pit_id", "keep_alive": "1m" }
}

A No error, returns empty hits

B 404 Not Found error

C 400 Bad Request error with message 'Invalid PIT ID'

D 500 Internal Server Error

💡 Hint

Invalid PIT IDs cause a client error indicating the PIT ID is invalid.

Elasticsearch returns a 400 Bad Request error with a message indicating the PIT ID is invalid when the PIT ID does not exist or is malformed.

🧠 Conceptual

advanced

How does the Point-in-time API help with consistent pagination?

Why is using the Point-in-time API recommended for paginating large search results in Elasticsearch?

A It locks the index preventing writes during pagination

B It provides a consistent snapshot of the index at the time the PIT was created, avoiding missing or duplicate documents during pagination

C It caches all search results in memory for faster access

D It automatically sorts results by relevance without specifying a sort

💡 Hint

Think about how data changes during pagination and how PIT helps.

The Point-in-time API creates a snapshot of the index at a specific time, so paginating over results does not miss or duplicate documents even if the index changes.

❓ Predict Output

advanced

What is the value of 'pit_id' after this request?

After running this Elasticsearch search request with Point-in-time API, what is the value of pit_id in the response?

Elasticsearch

{
  "size": 1,
  "query": { "match_all": {} },
  "pit": { "id": "abc123", "keep_alive": "2m" }
}

A A new PIT ID string different from "abc123"

B null

C An error because PIT ID cannot be reused

D "abc123"

💡 Hint

Each search with PIT returns a new PIT ID to keep the snapshot alive.

Elasticsearch returns a new PIT ID in the response to keep the snapshot alive for further searches. It is different from the original PIT ID sent in the request.

🚀 Application

expert

How to correctly close a Point-in-time context?

You have a PIT ID from a previous search. Which request correctly closes the PIT context to free resources?

A { "id": "abc123" } sent as a DELETE request to <code>/_pit/_close</code>

B { "pit_id": "abc123" } sent as a DELETE request to <code>/_search/close</code>

C { "pit_id": "abc123" } sent as a POST request to <code>/_pit/_close</code>

D { "id": "abc123" } sent as a POST request to <code>/_pit/_close</code>

💡 Hint

Check the official API endpoint and request body format for closing PIT.

The correct way to close a PIT is to send a POST request to /_pit/_close with a JSON body containing the id field with the PIT ID.