Batch update patterns in Rest API - Step-by-Step Execution

Concept Flow - Batch update patterns

Client prepares batch data

↓

Send batch update request

↓

Server receives request

↓

Validate each item

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Process updates in loop

↓

Collect results

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Send batch response

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Client receives response

The client sends multiple update items in one request; the server validates and processes each, then returns a combined response.

Execution Sample

Rest API

PATCH /items/batch HTTP/1.1
Content-Type: application/json

[
  {"id":1, "value":"A"},
  {"id":2, "value":"B"}
]

Client sends a batch PATCH request to update multiple items with new values.

Execution Table

Step	Action	Data Processed	Result	Notes
1	Receive batch request	[{id:1, value:'A'}, {id:2, value:'B'}]	Request accepted	Server starts processing batch
2	Validate item 1	{id:1, value:'A'}	Valid	Item 1 passes validation
3	Update item 1	{id:1, value:'A'}	Updated successfully	Database updated for item 1
4	Validate item 2	{id:2, value:'B'}	Valid	Item 2 passes validation
5	Update item 2	{id:2, value:'B'}	Updated successfully	Database updated for item 2
6	Compile response	All items processed	Success for all	Prepare batch response
7	Send response	Batch update results	HTTP 200 OK	Client receives confirmation
8	End	No more items	Batch complete	Process ends

💡 All items processed successfully; batch update completes with HTTP 200 response.

Variable Tracker

Variable	Start	After 1	After 2	Final
current_item	null	{id:1, value:'A'}	{id:2, value:'B'}	null
validation_status	null	Valid	Valid	null
update_status	null	Success	Success	null
response_data	[]	[{id:1, status:'Success'}]	[{id:1, status:'Success'}, {id:2, status:'Success'}]	[{id:1, status:'Success'}, {id:2, status:'Success'}]

Key Moments - 3 Insights

Why do we validate each item separately instead of validating the whole batch at once?

Each item may have different issues; validating separately (see steps 2 and 4) helps identify exactly which items fail and why.

What happens if one item fails validation during batch update?

The server can choose to skip that item or stop the whole batch; this example assumes all items are valid (see execution_table rows 2 and 4).

Why does the response include status for each item instead of one overall status?

Because each item can succeed or fail independently, the response shows detailed results for clarity (see variable_tracker response_data).

Visual Quiz - 3 Questions

Look at the execution_table, what is the validation status of item 2 at step 4?

A Valid

B Invalid

C Not validated yet

D Skipped

💡 Hint

Check the 'validation_status' column in execution_table row 4.

At which step does the server send the batch update response?

A Step 5

B Step 6

C Step 7

D Step 8

💡 Hint

Look for 'Send response' action in execution_table.

If item 1 failed validation, how would the response_data variable change after step 2?

A It would include item 1 with status 'Success'

B It would include item 1 with status 'Failed'

C It would be empty

D It would include item 2 only

💡 Hint

Refer to variable_tracker response_data and validation_status for item 1.

Concept Snapshot

Batch update pattern:
- Client sends multiple items in one request.
- Server validates each item separately.
- Server updates items one by one.
- Server returns detailed status per item.
- Helps reduce network calls and improve efficiency.

Full Transcript

Batch update patterns in REST APIs let clients send many updates in one request. The server receives the batch, then checks each item to make sure it is valid. If valid, the server updates the item in the database. After all items are processed, the server sends back a response showing which items succeeded or failed. This approach saves time and network resources by handling many updates at once instead of one by one.