E-MapReduce
E-MapReduce
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E-MapReduceBillingEMR ServerlessResource types and billing detailsBolt acceleration engine pricing details
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Download PDFCopy pageDownload PDFBolt accelerates SparkSQL jobs through the Native execution engine, effectively improving job execution efficiency, shortening runtime, and reducing overall compute resource consumption in most scenarios. When using Bolt acceleration, users pay the corresponding acceleration fee based on the actual CUH consumed by the job.
- Only supports EMR Serverless mode
- Only applies to SparkSQL jobs
Bolt acceleration fees are charged based on the actual CUH consumed by SparkSQL jobs. The fee structure varies by queue type:
Queue type | Fee structure | Note |
|---|---|---|
Dedicated queue | Queue fee + Bolt acceleration fee | The actual compute fee for the job is already included in the dedicated queue fee. After enabling Bolt, only the additional acceleration fee needs to be paid. |
Shared queue | Job compute fee + Bolt acceleration fee | After enabling Bolt, both the job compute fee and Bolt acceleration fee must be paid. |
Bolt acceleration can significantly reduce job runtime and CUH consumption, so even with additional acceleration fees, the overall job cost will still decrease.
The unit price for Bolt acceleration fees is as follows:
Region | Unit price | Unit |
|---|---|---|
North China 2 (Beijing) | 0.175 | yuan/CUH |
East China 2 (Shanghai) | 0.175 | yuan/CUH |
South China 1 (Guangzhou) | 0.175 | yuan/CUH |
Asia Pacific Southeast (Johor) | 0.3 | yuan/CUH |
Billing comparison example: Using SparkSQL jobs in the Beijing region as an example:
Scenario
CUH consumption
Compute unit price
Compute fee
Bolt acceleration unit price
Bolt acceleration fee
Total fee
Bolt not enabled
100 CUH
0.35 yuan/CUH
35 yuan
0 yuan
35 yuan
Bolt enabled
60 CUH
0.35 yuan/CUH
21 yuan
0.175 yuan/CUH
10.5 yuan
31.5 yuan
After enabling Bolt, job CUH decreases from 100 to 60. Although an acceleration fee of 10.5 yuan is incurred, the total cost drops from 35 yuan to 31.5 yuan, reducing costs by 10%.
