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IOPS vs. bandwidth

  1. What is the key difference between IOPS and bandwidth in large data warehouses?
  2. Does file size affect IOPS? What for?
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IOPS measures the number of reads and writes per second, and throughput measures the number of bits read or written per second.

Although they measure different things, they usually follow each other, because the I / O operations are about the same size.

If you have large files, you just need more I / O to read the whole file. File size does not affect IOPS because it measures the number of clusters read or written, not the number of files.

If you have small files, there will be more overhead, so if IOPS and bandwidth look good, you may run into lower actual performance.

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IOPS is the number of read / write operations most useful for OLTP transactions used in AWS for databases such as Cassandra.

Bandwidth is the number of bits transmitted per second. Data transfer per second This is mainly a block for applications with high data transfer rates, such as big data hadoop, kafka streaming

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Disk IOPS Describes the number of disk I / O operations per second, regardless of block size.

The disk bandwidth describes how much data can be transferred per second, so the block size plays a huge role in calculating the bandwidth required by the application.

Let's take an example of the 3000 IOPS and SQL database engine, the block size in terms of the db core is called the page size , and for SQL Server it is 8 KB. If you want to calculate the actual throughput, if IOPS is defined, you will get the following formula:

throughput = [IOPS] * [block size] = 3000 * 8 = 24 000 KB/s = 24 MB/s
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