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For example, with Spark SQL's data DataFrameReader, you can invoke something like sqlContext.read().schema(customSchema).json(path) where schema function returns DataFrameReader itself with the added configuration of customSchema. Similarly, Jackson's ObjectWriter has with function which returns ObjectWriter itself with some custom configuration passed through the with function.

First, I am curious if this way of configuring through chaining method has it's own name, so that I can research further.

Second, would this kind of method fit for a data format converter class where HTML, JSON, and CSV will be converted to one another? What I am imagining is having a static Converter class that has from and to methods, where you specify the input and its dataformat type and the output and its dataformat type. So, it would look something like Converter.from("inputPath", DataFormat.CSV).to("outputPath", DataFormat.JSON") and the blackbox should handle the process. The main reason I wanted to try this out is that, right now I have a method for each conversion, such as FromCSVToJSON, but I didn't think it looks clean enough. Any alternative design suggestion for the Converter class is welcome.

For example, with Spark SQL's data DataFrameReader, you can invoke something like sqlContext.read().schema(customSchema).json(path) where schema function returns DataFrameReader itself with the added configuration of customSchema. Similarly, Jackson's ObjectWriter has with function which returns ObjectWriter itself with some custom configuration passed through the with function.

First, I am curious if this way of configuring through chaining method has it's own name, so that I can research further.

Second, would this kind of method fit for a data format converter class where HTML, JSON, and CSV will be converted to one another? What I am imagining is having a static Converter class that has from and to methods, where you specify the input and its dataformat type and the output and its dataformat type. So, it would look something like Converter.from("inputPath", DataFormat.CSV).to("outputPath", DataFormat.JSON") and the blackbox should handle the process. The main reason I wanted to try this out is that, right now I have a method for each conversion, such as FromCSVToJSON, but I didn't think it looks clean enough. Any alternative design suggestion for the Converter class is welcome.

For example, with Spark SQL's data DataFrameReader, you can invoke something like sqlContext.read().schema(customSchema).json(path) where schema function returns DataFrameReader itself with the added configuration of customSchema. Similarly, Jackson's ObjectWriter has with function which returns ObjectWriter itself with some custom configuration passed through the with function.

First, I am curious if this way of configuring through chaining method has it's own name, so that I can research further

Second, would this kind of method fit for a data format converter class where HTML, JSON, and CSV will be converted to one another? What I am imagining is having a static Converter class that has from and to methods, where you specify the input and its dataformat type and the output and its dataformat type. So, it would look something like Converter.from("inputPath", DataFormat.CSV).to("outputPath", DataFormat.JSON") and the blackbox should handle the process. The main reason I wanted to try this out is that, right now I have a method for each conversion, such as FromCSVToJSON, but I didn't think it looks clean enough. Any alternative design suggestion for the Converter class is welcome.

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duplicates list edited from Is this 'implementation' of a builder pattern good design to What is the name for the idiom using method chaining to build an object?, Is this 'implementation' of a builder pattern good design
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Thomas Owens ♦
Thomas Owens ♦
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Post Closed as "Duplicate" by gnat, Thomas Owens♦
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THIS USER NEEDS HELP
THIS USER NEEDS HELP
  • 141
  • 6

What is the method of returning the instance itself with the newly added configuration that allows chaining?

For example, with Spark SQL's data DataFrameReader, you can invoke something like sqlContext.read().schema(customSchema).json(path) where schema function returns DataFrameReader itself with the added configuration of customSchema. Similarly, Jackson's ObjectWriter has with function which returns ObjectWriter itself with some custom configuration passed through the with function.

First, I am curious if this way of configuring through chaining method has it's own name, so that I can research further.

Second, would this kind of method fit for a data format converter class where HTML, JSON, and CSV will be converted to one another? What I am imagining is having a static Converter class that has from and to methods, where you specify the input and its dataformat type and the output and its dataformat type. So, it would look something like Converter.from("inputPath", DataFormat.CSV).to("outputPath", DataFormat.JSON") and the blackbox should handle the process. The main reason I wanted to try this out is that, right now I have a method for each conversion, such as FromCSVToJSON, but I didn't think it looks clean enough. Any alternative design suggestion for the Converter class is welcome.