Forum Discussion
Calculate the Spark Compute Cost
- Anonymous2 years ago
Hi _augustine_ ,
The duration is approximately 64,299.78 seconds, which is equivalent to approximately 17.86 hours.
The cost per hour for F64 capacity is $11.52.
Let’s calculate the total cost: Total cost=Cost per hour×Duration (hours)=11.52×17.86=$205.76
Regarding your concern about whether using Spark streaming notebooks incurs more cost than the mentioned Fabric Capacity costs, it's essential to note that Spark pools are billed based on active Spark session duration. You're not billed for the time taken to acquire cluster instances from the cloud or for the time taken for initializing the Spark context. This means that the cost is directly related to the compute resources utilized during the active session of your Spark jobs.
For detailed guidance on managing and optimizing Spark compute costs, I recommend reviewing the following documentation:
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi _augustine_ ,
The duration is approximately 64,299.78 seconds, which is equivalent to approximately 17.86 hours.
The cost per hour for F64 capacity is $11.52.
Let’s calculate the total cost: Total cost=Cost per hour×Duration (hours)=11.52×17.86=$205.76
Regarding your concern about whether using Spark streaming notebooks incurs more cost than the mentioned Fabric Capacity costs, it's essential to note that Spark pools are billed based on active Spark session duration. You're not billed for the time taken to acquire cluster instances from the cloud or for the time taken for initializing the Spark context. This means that the cost is directly related to the compute resources utilized during the active session of your Spark jobs.
For detailed guidance on managing and optimizing Spark compute costs, I recommend reviewing the following documentation:
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.