Construct an object using the data from the three columns.Using Tin圜svParser, extract string data from three columns of the twenty-five columns available.Convert the bytes to a string as the input to a library called Tin圜svParser which supports parsing tab separated values (TSV).Decompress the bytes using a GzipStream.Stream the bytes of the S3 file via the AWS SDK.The existing service uses the following processing flow:
We needed to grab data from 3 of the columns for each row and index that data into an ElasticSearch cluster. The files, in this case, are CloudFront log files and we needed to process about 75 files a day, each with on average at least 10,000 lines. The service is responsible for parsing data from some tab separated files stored on S3. In that scenario, I had some code in a worker service.
While writing some sample code for an upcoming talk, I wanted to create a demo based on a scenario that I’d experienced at work. NET Core code by taking a look at a benchmarking challenge I recently encountered. In this post, I will continue my journey into writing high-performance C# and.
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