Why Kibana visualizes Elasticsearch data - Visual Breakdown

Concept Flow - Why Kibana visualizes Elasticsearch data

User sends query in Kibana

↓

Kibana translates query

↓

Query sent to Elasticsearch

↓

Elasticsearch processes query

↓

Elasticsearch returns data

↓

Kibana receives data

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Kibana visualizes data

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User sees charts and graphs

Kibana sends queries to Elasticsearch, gets data back, and then shows it as charts or graphs for easy understanding.

Execution Sample

Elasticsearch

GET /logs/_search
{
  "query": { "match_all": {} },
  "size": 5
}

This query asks Elasticsearch to return 5 log entries, which Kibana will visualize.

Execution Table

Step	Action	Input/Query	Elasticsearch Response	Kibana Action	Output/Visualization
1	User inputs query in Kibana	match_all query, size 5		Send query to Elasticsearch
2	Kibana sends query	GET /logs/_search {"query": {"match_all": {}}, "size": 5}	Processes query, finds 5 log entries
3	Elasticsearch returns data		[5 log entries JSON]	Receive data
4	Kibana processes data			Parse JSON data
5	Kibana creates visualization			Generate charts/graphs	Display 5 log entries as table or graph
6	User views visualization				Sees charts/graphs of logs

💡 Visualization complete; user sees data in easy-to-understand form

Variable Tracker

Variable	Start	After Step 2	After Step 3	After Step 5	Final
query	None	{"match_all": {}, "size":5}	{"match_all": {}, "size":5}	{"match_all": {}, "size":5}	{"match_all": {}, "size":5}
response_data	None	None	[5 log entries JSON]	[5 log entries JSON]	[5 log entries JSON]
visualization	None	None	None	Charts/graphs created	Charts/graphs displayed

Key Moments - 3 Insights

Why does Kibana send a query to Elasticsearch instead of storing data itself?

Kibana is a visualization tool; it relies on Elasticsearch to store and search data. As shown in execution_table step 2, Kibana sends the query to Elasticsearch to get fresh data.

How does Kibana know what data to visualize?

Kibana receives raw data from Elasticsearch (step 3), then parses it (step 4) and creates visualizations (step 5) based on user settings.

What happens if Elasticsearch returns no data?

Kibana will receive an empty response and show empty visualizations or messages, as it depends on Elasticsearch's response (see step 3).

Visual Quiz - 3 Questions

Look at the execution_table, what does Kibana do at step 4?

A Display charts and graphs to the user

B Send the query to Elasticsearch

C Parse the JSON data received from Elasticsearch

D User inputs the query

💡 Hint

Check the 'Kibana Action' column at step 4 in execution_table

At which step does Elasticsearch return data to Kibana?

A Step 3

B Step 2

C Step 5

D Step 1

💡 Hint

Look at the 'Elasticsearch Response' column in execution_table

If the query size changes from 5 to 10, how does variable 'response_data' change in variable_tracker?

A It will be empty

B It will contain 10 log entries JSON instead of 5

C It will still contain 5 log entries JSON

D It will contain 15 log entries JSON

💡 Hint

Check how 'response_data' holds the number of log entries returned after query execution

Concept Snapshot

Kibana sends queries to Elasticsearch to get data.
Elasticsearch processes and returns data.
Kibana parses data and creates visual charts.
Users see data visually for easy understanding.
Kibana does not store data, only visualizes it.

Full Transcript

Kibana is a tool that helps users see data stored in Elasticsearch. When a user types a query in Kibana, it sends that query to Elasticsearch. Elasticsearch searches its data and sends back the results. Kibana then takes this data and turns it into charts or graphs that are easy to understand. This process helps users explore and analyze data without needing to read raw data. The key steps are: user inputs query, Kibana sends query, Elasticsearch returns data, Kibana visualizes data, and user sees the visualization.

Practice

1. Why does Kibana visualize data stored in Elasticsearch?

easy

A. To help users easily understand and analyze data through charts and dashboards

B. To store data more efficiently than Elasticsearch

C. To replace Elasticsearch as a database

D. To write complex code for data processing

Solution

1. Step 1: Understand Kibana's role

   Kibana is designed to create visual representations like charts and dashboards from Elasticsearch data.

2. Step 2: Identify the purpose of visualization

   Visualization helps users quickly find insights and monitor data without needing to write code.

3. Final Answer:

   To help users easily understand and analyze data through charts and dashboards -> Option A

4. Quick Check:

   Kibana visualizes data = Easy analysis [OK]

Hint: Kibana = Visualize Elasticsearch data for easy insights [OK]

Common Mistakes:

• Thinking Kibana stores data instead of visualizing it
• Confusing Kibana with a database
• Assuming Kibana requires coding for visuals

2. Which of the following is the correct way to create a visualization in Kibana?

easy

A. Use the Kibana interface to select data and choose visualization types without coding

B. Write SQL queries directly in Kibana to generate charts

C. Manually code HTML and CSS to display Elasticsearch data

D. Export data from Elasticsearch and use external software only

Solution

1. Step 1: Review Kibana's user interface

   Kibana provides a user-friendly interface to create visualizations by selecting data and chart types without coding.

2. Step 2: Eliminate incorrect options

   Options B and C require coding, which Kibana does not need for visualization. Export data from Elasticsearch and use external software only is external to Kibana.

3. Final Answer:

   Use the Kibana interface to select data and choose visualization types without coding -> Option A

4. Quick Check:

   Kibana interface = No code visuals [OK]

Hint: Kibana uses GUI, not code, for creating visuals [OK]

Common Mistakes:

• Assuming SQL queries are needed inside Kibana
• Thinking manual coding is required for visuals
• Believing data must be exported for visualization

3. Given Elasticsearch data indexed with sales records, what will Kibana show if you create a bar chart visualization grouping sales by product category?

medium

A. A list of raw sales records without any grouping

B. An error because Kibana cannot group data

C. A bar chart showing total sales amounts for each product category

D. A pie chart showing sales by date

Solution

1. Step 1: Understand grouping in Kibana visualizations

   Kibana can group Elasticsearch data by fields like product category to summarize data visually.

2. Step 2: Identify the correct visualization output

   A bar chart grouped by product category will show total sales per category, not raw records or other chart types.

3. Final Answer:

   A bar chart showing total sales amounts for each product category -> Option C

4. Quick Check:

   Grouping data = summarized bar chart [OK]

Hint: Grouping fields in Kibana creates summarized charts [OK]

Common Mistakes:

• Expecting raw data instead of grouped summary
• Confusing chart types (bar vs pie)
• Thinking Kibana cannot group data

4. You created a Kibana visualization but it shows no data. Which of these is the most likely cause?

medium

A. You must write code to display data in Kibana

B. The Elasticsearch index pattern is incorrect or missing

C. Kibana does not support visualizations for Elasticsearch data

D. Your browser does not support charts

Solution

1. Step 1: Check the index pattern setup

   Kibana needs a correct Elasticsearch index pattern to find and display data in visualizations.

2. Step 2: Rule out other causes

   Kibana supports visualizations without coding, and modern browsers support charts, so these are unlikely causes.

3. Final Answer:

   The Elasticsearch index pattern is incorrect or missing -> Option B

4. Quick Check:

   Missing index pattern = no data shown [OK]

Hint: Check index pattern if Kibana shows no data [OK]

Common Mistakes:

• Assuming Kibana can't visualize Elasticsearch data
• Thinking coding is required to show data
• Blaming browser for visualization issues

5. You want to monitor website traffic trends over time using Kibana. Which approach best uses Kibana's visualization features with Elasticsearch data?

hard

A. Use Kibana only to view raw log data without visualization

B. Export Elasticsearch logs to Excel and create charts there

C. Write custom scripts to generate charts outside Kibana

D. Create a time series line chart in Kibana using the timestamp field from Elasticsearch logs

Solution

1. Step 1: Identify the best visualization type for trends

   Time series line charts are ideal for showing trends over time using timestamped data.

2. Step 2: Use Kibana's built-in features

   Kibana can directly use Elasticsearch timestamp fields to create dynamic, interactive time series charts without exporting or coding.

3. Final Answer:

   Create a time series line chart in Kibana using the timestamp field from Elasticsearch logs -> Option D

4. Quick Check:

   Time series + Kibana = trend monitoring [OK]

Hint: Use Kibana time series charts for timestamped data trends [OK]

Common Mistakes:

• Exporting data unnecessarily instead of using Kibana
• Ignoring Kibana's visualization capabilities
• Using raw data views only without charts