Of course, I could clean these up, but using these records as-is makes me frequently question my SQL skills.
Others have documented additional issues with dirty data. Interestingly all trips with dates in the future are posted from a single vendor (see data dictionary). │ tpep_pickup_datetime │ VendorID │ passenger_count │ fare_amount │ Based on the fare_amount for the following 5 person trip in 2098, I’d say we can safely conclude that inflation will be on a downward or lateral trend over the next 60 years. You can see here that some taxi trips were taken seriously far in the future. We’re very lucky to have this dataset, but like many data sources, the data is in need of cleaning. The DuckDB community regularly uses the NYC Taxi Data to demonstrate and test features as it’s a reasonably large set of data (billions of records) and it’s data the public understands. For big JS arrays copied hundreds of times this adds quite a lot ofĪ note on performance characteristics of SharedArray can be found within its API documentation.There is a plethora of interesting public data out there. In golang) and it will walk through all accessible objects (including JS ones) and figure out which Additionally even if there is enough memory, k6 has a garbage collector (as it's written So if your files are largeĮnough and you are not using SharedArray, that might mean that your script will run out of memory at This becomesĮven less of an issue compared to not using it with large files, as k6 would otherwise use too much memory to run, which might lead to your script not being able to run at all or aborting in the middle if the system resources are exhausted.įor example, the Cloud service allocates 8GB of memory for every 300 VUs. It does have some CPU overhead in accessing elements compared to a normal non sharedĪrray, but the difference is negligible compared to the time it takes to make requests. To prevent multiple copies of the whole data file, Performance implications of SharedArrayĮach VU in k6 is a separate JS VM.
This will, in turn, make your test more realistic. Parameterization helps to prevent server-side caching from impacting your load test. You can also use parameterization when you need to add test data from a separate file.
CSV DATA GENERATOR PATCH
Parameterization is typically necessary when Virtual Users (VUs) will make a POST, PUT, or PATCH request in a test.
CSV DATA GENERATOR HOW TO
This page gives some examples of how to parameterize data in a test script. Data parameterization is the process of turning test values into reusable parameters, for example, through variables and shared arrays.
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