Overview

Update the memory allocation for a specific job. This endpoint allows you to increase memory for jobs that process large data volumes or complex transformations.

Memory Limits

Limit	Value
Minimum	No minimum (use default)
Maximum	750,000 MB (750 GB)
Default	System default based on connector type

Job ID Format

The jobId follows the format: {pipeline_id}_{job_index}

Example: 1b33ad2f_33d3_4837_9eeb_83c82c8b909d_0 (first job in pipeline 1b33ad2f_33d3_4837_9eeb_83c82c8b909d)

Request Body

Field	Type	Required	Description
`amount`	integer	Yes	Memory allocation in MB

Examples

Set Memory to 4GB

PUT /platform/jobs/1b33ad2f_33d3_4837_9eeb_83c82c8b909d_0/memory

{
  "amount": 4096
}

Response (200 OK):

The endpoint triggers an internal DAG update to propagate the memory configuration.

Set Memory to 16GB for Large Tables

PUT /platform/jobs/a9f82c14_7e21_4b5a_8c9d_12345abcdef0_0/memory

{
  "amount": 16384
}

Set Memory to 32GB for Complex Transformations

PUT /platform/jobs/c5d92e18_4f31_4a2b_9c8d_67890fghijk0_0/memory

{
  "amount": 32768
}

Error Responses

400 Bad Request - Memory Exceeds Maximum

{
  "detail": "The amount of memory provided is greatner than the max memory supported!!"
}

404 Not Found

{
  "detail": "job_id invalid_job_id not found"
}

When to Increase Memory

Consider increasing memory allocation when:

Scenario	Recommended Memory
Small tables (< 1M rows)	Default (no change)
Medium tables (1-10M rows)	4,096 - 8,192 MB
Large tables (10-100M rows)	8,192 - 16,384 MB
Very large tables (> 100M rows)	16,384 - 32,768 MB
Complex transformations	+50% of base recommendation

Notes

Memory changes take effect on the next pipeline execution
The memory allocation is stored in the job's input.memory_allocation_mb field
After updating memory, the pipeline DAG is automatically refreshed
To update memory for all jobs in a pipeline at once, use PUT /platform/pipeline/:pipelineId/memory
Monitor job execution to determine optimal memory allocation