Computing pricing

Subscription

After you purchase subscription computing resources, you can monitor and manage the resources by using MaxCompute Management. For more information, see Use MaxCompute Management.

If this is the first time you use MaxCompute, we recommend that you select the pay-as-you-go billing method. If you select the subscription billing method, you purchase a specific amount of computing resources. As a new user, you may consume fewer resources than what you purchase. Some resources may remain idle. The pay-as-you-go billing method is more cost-effective because you are charged based on the exact amount of resources that you consume.

Billing for standard SQL jobs

Each time you run an SQL job, MaxCompute calculates the fee based on the amount of input data in computing and SQL complexity. On the following day, MaxCompute aggregates the fees for all executed SQL jobs into one bill within your Alibaba Cloud account. Then, MaxCompute deducts the fees from the balance of your Alibaba Cloud account.

Fee for a standard SQL job = Amount of input data in computing × SQL complexity × Unit price of SQL jobs

• Amount of input data in computing: the amount of data scanned by an SQL job. Most SQL jobs support partition filtering and column pruning. In most cases, this value is less than the amount of data in the source table.
  • Partition filtering: If you submit an SQL statement that contains the WHERE clause WHERE ds > 20130101 (ds is the partition key column), you are charged only for the data in the partitions that are read.
  • Column pruning: If you submit the SQL statement SELECT f1,f2,f3 FROM t1;, you are charged only for the data in columns f1, f2, and f3 of table t1. You are not charged for the data in the other columns.
• SQL complexity: The complexity of an SQL job is calculated based on the number of keywords in the SQL statements of the SQL job.
  • Number of SQL keywords = Number of JOIN clauses + Number of GROUP BY clauses + Number of ORDER BY clauses + Number of DISTINCT clauses + Number of window functions + MAX(Number of INSERT statements - 1, 1)
  • Calculation of SQL complexity:
    • If the number of keywords is less than or equal to 3, the complexity of an SQL job is 1.
    • If the number of keywords is less than or equal to 6 but greater than or equal to 4, the complexity of an SQL job is 1.5.
    • If the number of keywords is less than or equal to 19 but greater than or equal to 7, the complexity of an SQL job is 2.
    • If the number of keywords is greater than or equal to 20, the complexity of an SQL job is 4.

COST SQL <SQL Sentence>;

odps@ $odps_project >COST SQL SELECT DISTINCT total1 FROM
(SELECT id1, COUNT(f1) AS total1 FROM in1 GROUP BY id1) tmp1
ORDER BY total1 DESC LIMIT 100;
Intput:1825361100.8 Bytes
Complexity:1.5

1.7 × 1.5 × 0.0438 = 0.11 (USD)

Billing for SQL jobs that reference external tables

Since March 2019, you are charged for MaxCompute SQL jobs that reference external tables based on the pay-as-you-go billing method.

Fee for an SQL job = Amount of input data in computing × Unit price of SQL jobs that reference external tables

Pay-as-you-go billing for MapReduce jobs

Since December 19, 2017, you are charged for MaxCompute MapReduce jobs based on the pay-as-you-go billing method.

Fees for MapReduce jobs of the day = Number of billable hours × Unit price (USD)

Number of billable hours of a MapReduce job = Number of job running hours × Number of CPU cores consumed

For example, if a MapReduce job that runs for 0.5 hours consumes 100 CPU cores, the number of billable hours is 50 based on the following calculation: 100 cores × 0.5 hours = 50.

Pay-as-you-go billing for Spark jobs

Fees for Spark jobs of the day = Number of billable hours × Unit price (USD 0.1041/hour/job)

Number of billable hours of a Spark job = MAX[Number of CPU cores × Number of job running hours, ROUND UP(Memory size × Number of job running hours/4)]

For example, if a Spark job that runs for 1 hour consumes 2 CPU cores and 5 GB of memory, the number of billable hours is 2 based on the following calculation: MAX[2 × 1, ROUND UP(5 × 1/4)] = 2. If a Spark job that runs for 1 hour consumes 2 CPU cores and 10 GB of memory, the number of billable hours is 3 based on the following calculation: MAX[2 × 1, ROUND UP(10 × 1/4)] = 3.

Pay-as-you-go billing for Mars jobs

Fees for Mars jobs of the day = Number of billable hours × Unit price (USD 0.1041/hour/job)

After a Mars job is run, MaxCompute calculates the billable hours of the job. On the following day, MaxCompute aggregates the fees for all executed Mars jobs into one bill within your Alibaba Cloud account. Then, MaxCompute deducts the fees from the balance of your Alibaba Cloud account.

Pay-as-you-go billing for MCQA jobs

Since October 1, 2020, you are charged for MCQA jobs based on the pay-as-you-go billing method. For more information, see Overview.

Each time you run an MCQA job, MaxCompute calculates the fee based on the amount of input data of the job. On the following day, MaxCompute aggregates the fees for all executed MCQA jobs.

Fee for an MCQA job = Amount of input data for the MCQA job × Unit price (USD 0.0438/GB)