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Ionic2 has that minor delay. Loops and methods of implementation was improved and Now it works better. The number of request calls to the Firebase is limitted. var ref = url ref.on("value", function(data){}); is changed to ref.once("value", function(data){}); Everything works perfect now! The app is working more than 15 mins.


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After having transformed our project's testing approach to a form that I haven't seen anywhere else but I find more meaningful, I have discovered, to my delight that it aligned perfectly with the "requirements" of the application. I shouldn't go into details of that form, but my findings seem like an answer to your endeavor. First of all, I started calling ...


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This error is generally observed when JDBC driver is missing. No suitable driver found for jdbc:oracle:thin:@coredb-useast1c01-02.qa.ultradns.net:2115:CUE1C2Q Can you try placing driver jar in JMeter lib folder


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One of the most informative mechanisms it to use graphical rather than tabular representations, these can be of various formats and indeed including multiple formats are often useful, e.g. a Venn diagram of the possible factors coloured for the number of tests passing can sometimes highlight combinations of factors that you had not though of. Likewise a ...


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It's fairly simple: Add JSON Path PostProcessor as a child of the request which returns above JSON Configure JSON Path PostProcessor as follows: Variable names: anything meaningful, i.e. token JSON Path Expressions: $..token Other fields may be left as they are Refer extracted value as ${token} where required References: JSONPath - XPath for JSON -...


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That's a scenario that exists in most of the cases wherein you need to extract the authentication token post login. You should use the Regular Expression Extractor post-processor to extract the token, id or anything of this sort. Go to the Thread group and right click and then in the post-processor options you'll find the regular expression extractor option. ...


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Throughput: This is the number of requests that are successfully executed/serviced per unit of time. For example, if the throughput is 50/minute, this means that on your server, per minute, 50 requests are executed successfully (accepted, processed and responded properly). Hits per second: This is the load with which the server is being hit. It means x ...


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Basically, throughput is number of requests per second that your server can handle. Thus as far as the throughput is concerned, the larger the better! Both the scenarios that you've mentioned contradict to the definition of throughput. If through is high that signifies that your server can handle large number of requests per second. Scenario 1 may be ...


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It is obvious that you won't be able to produce high loads on a scaled down environment, however there are few things you still can check: Memory leaks. If your application has unclosed streams, unflushed data, memory is allocated but don't freed up, etc. it may run out of memory and it is much easier to detect the trend on a smaller system. Bad code. You ...


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The sorts of problems you're looking for in a performance test have to do with load, locks, bandwidth usage, response time, and so on. And they don't scale in either direction. You will find performance problems in the smaller environment that the larger one would never experience, and you'll hit problems in the large environment that the smaller one ...


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You can do it using Apache JMeter, it has possibility to limit throughput in order to simulate different network types hence you will be able to mimic mobile device users sitting on different mobile network types. Check out How to Simulate Different Network Speeds in Your JMeter Load Test article for step-by-step instructions.


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You did not specify a client operating system, but here is an idea for Linux. Using cgroups, you can constrain how much CPU a process (or group of processes) can use. Here is the idea. Cgroups (short for Control Groups) is a Linux facility for constraining the resources used by a process or group of processes. You create a cgroup from the command line, ...



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