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spark - .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

  •    CSharp

.NET for Apache Spark provides high performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer.

tpch-spark - TPC-H queries in spark SQL using native DataFrames API

  •    C

Make sure you set the INPUT_DIR and OUTPUT_DIR in TpchQuery class before compiling to point to the location the of the input data and where the output should be saved. where ## is the number of the query to run e.g 1, 2, ..., 22 and MASTER specifies the spark-mode e.g local, yarn, standalone etc...

tpch-hdinsight - TPCH benchmark for various engines

  •    Python

Clone this repo. Run TPCHDataGen.hql with settings.hql file and set the required config variables.





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