Apache Bench Tutorial
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Apachebench installation on windows 10 - Stack Overflow.How to load test with Apache Bench
To run this test with the Phoronix Test Suite , the basic command is: phoronix-test-suite benchmark apache. Also fix a broken download link in downloads. No other changes. Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results.
Based on OpenBenchmarking. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result. Based on public OpenBenchmarking. This benchmark has been successfully tested on the below mentioned architectures. Powered by OpenBenchmarking. All trademarks used are properties of their respective owners.
All rights reserved. Project Site httpd. Source Repository github. Test Maintainer Michael Larabel. Supported Platforms. Data current as of 8 August Intel Xeon Platinum Intel Core iK. Intel Xeon E v5. Intel Xeon EG. Intel Core iX. AMD Ryzen 5 Intel Core iT. Intel Core iG7. Intel Core i Intel Core iH.
AMD Ryzen 7 U. Intel Celeron G Intel Core iU. AMD Ryzen 5 U. Intel Xeon EL v5. Instruction Set. SSE 4. Used by default on supported hardware. Found on Intel processors since at least Found on AMD processors since Bulldozer Found on Intel processors since Sandy Bridge Found on Intel processors since Haswell Found on AMD processors since Excavator Found on Intel processors since Westmere Last automated analysis: 23 April CPU Architecture.
Compare rocky9. BigCloud Enterprise Linux 7. Red Hat Enterprise Linux 9. Compare k september. Amazon EC2 m6i. Ampere Altra. Ubuntu CentOS Stream 8. EPYC Linux 5. Find More Test Results. Intel Core iG4 - 5.
Ampere Altra 2 Systems - 16 Benchmark Results.
- Apache benchmark windows 10
Some commonly used options include:. Additionally, ab runs on a single thread—the -c value tells ab how many file descriptors to allocate at a time for TCP connections, not how many HTTP requests to send simultaneously.
The -c flag does allow ab to complete its tests in less time, and simulates a higher number of concurrent connections. The two timeseries graphs below, for example, show the number of concurrent connections as well as requests per second for the command:. As a result, ab requests may not reflect the sorts of latencies you can expect to see in your usual production load. After finishing its tests, ApacheBench produces a report that resembles the code snippet below.
Later in this section, we will explain the different metrics provided in this report, such as:. Time taken for tests measures the duration between when ApacheBench first connects to the server and when it receives the final response or is interrupted with Ctrl-C.
ApacheBench provides two variations on this metric, and both depend on the number of responses that ab has finished processing done , as well as the value of the metric Time taken for tests timetaken. Both multiply their results by 1, to get a number in milliseconds.
The second version of Time per request accounts for the number of concurrent connections the user has configured ab to make, using the -c option concurrency :. If you set a -c value greater than 1, the second Time per request metric should in theory provide a more accurate assessment of how long each request takes.
You should treat both Time taken for tests and Time per request as rough indicators of web server performance under specific levels of load. For each connection it makes, ab stores five timestamps :. From there, ab uses the data object to calculate the remaining latency-related metrics: aggregated connection times, percentiles, and, if you use the -g flag, data for individual requests. These metrics give you a more nuanced understanding than Time taken for tests and Time per request , allowing you to see which part of the request-response cycle was responsible for the overall latency.
In the above example, we can see that Connect was on average i. Since the Connect metric depends on client latency as well as server latency, we could investigate each of these, determining which side of the connection is responsible for the variation.
The final ApacheBench report also includes a breakdown of request latency percentiles, giving you a more detailed view of request latency distribution than the standard deviations within the Connection Times table. The percentile breakdown resembles the following. Unlike the Connection Times table, these metrics are not broken down by stage of the request-response cycle. ApacheBench can also display data about each connection in tab-separated values TSV format, allowing you to calculate values that are not available within the standard ab report, such as wait time percentiles.
This data comes from the same data objects that ab uses to calculate Connection Times and percentiles. These per-request values are:. To access per-request data in TSV format, use the -g flag in your ab command, specifying the path to the output file. The first five rows of the data in the plot. The -g flag gives you flexibility in how you analyze request data. You could, for example, plot the dtime of each request in a timeseries graph i.
One way to understand the responses from your web servers is to count those that return an error or a failure. This is helpful if your goal is to benchmark deliberately unsuccessful requests e. You can also send HTTP logs from your server to a dedicated monitoring platform like Datadog to aggregate responses by status code.
Connections between ApacheBench and your web server can fail just like any TCP connection, and ab counts failures within four different categories:. The following comes from running an ab command with the -n option set to and the URL set to www. This is because ab stores the length of the first response it receives, and compares subsequent lengths to that value. In general, the Failed request metrics monitor activity at the transport layer, i.
Datadog can provide complete visibility into HTTP response latency by analyzing server logs, tracing requests as they travel across distributed services, collecting network metrics from your hosts, and simulating HTTP requests from clients around the world—check out our free trial. Register here Register for Dash ! White modal up arrow.
Download Media Assets. Infrastructure Monitoring. Once installed, you can directly use it for load testing. In the above command, you need to specify your web server address or URL path that you want to test.
In the above command, we use -n option to specify total number of requests to send, and -c option to specify concurrency. You may alternatively mention -t option to specify the time duration for sending these requests. In the above output, Apache will display key metrics such as Time taken for tests, No.
Bonus Read : How to Install memcached in Apache. It also gives a useful stats min, mean, median, max about connection times in milliseconds. It also provides a distribution of percent of requests that were completed within a certain amount of time. Hopefully, this article will help you set up and run load testing for Apache web server.
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