![]() Summary of all metrics per transaction including 3 configurable percentiles, anĮrror table providing a summary of all errors and their proportion in the total The success and failed transaction percentage, a statistics table providing a This dashboard should include a request summary graph showing To build a dashboard follow Instructions to build a JMeter dashboard. To get graphs and statistics from a test plan. JMeter supports dashboard report generation The plan includes adding users, JDBC requestsĪnd a listener to view/store the test results Note: If you use Hive2 Server the URL uses hive2 instead of hive. You will have to provide the Hive database This example uses MySQL driver, however, the To build a database test plan, consult Instructions to build a database test plan. Note: Set AutoCommit=true in JMeter configuration is a must.In the jdbc connection configuration page set the following:Īuto Commit = true Database URL = jdbc:hive://hive_ip_address:10000/default JDBC Driver Class = .jdbc.HiveDriver.Start JMeter from $JMETER_HOME/bin directory running jmeter for unix-like systems.Add the required Hive and logging jars from my.Download JMeter: and unzip it to your preferred location. ![]() These steps have been tested on HDP 2.4.2 and OSX and should work similarly on other This approach is extremely useful to execute read-heavy Percentiles to understand the execution tail. Provided for a simple insight, as well as 90th, 95th, 99th and 99.9th Together to provide an overall view into the performance. The results of the queries that JMeter ran are also aggregated and analyzed JMeter automates the execution of the queries in parallel. Pseudo-random data in order to simulate all types of queries to a table. The queries can also be parameterized with Threads of queries in parallel, with multiple instances of JMeter capable of As such, it has the ability toĮxecute SQL queries against a given JDBC Driver. System can typically cope with, this is called the systems “concurrency level”Īnd give you a hard number to work with when dealing with capacity planning, performance andįor testing Web Applications but has since expanded to other test functions, The goal of load testing is to determine the number of users that the Usage levels extrapolated from access logs with a buffer for surges. Of users until you hit a predefined maximum that’s usually based on projected The load test is usually run overĪn extended period of time in a staggered manner, slowly ramping up the amount Predefined amount of users at the same time. The core meaning still comes down to making sure that your system can handle a The term “Load Testing” has evolved over the years, however
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