Re: Generating StructType from dataframe.printSchema

On 16 Oct 2017, at 16:22, Silvio Fiorito wrote: > [...] then just infer the schema from a single file and reuse it when loading > the whole data set: Well, that is a possibility indeed. Thanks, Jeroen

Re: Generating StructType from dataframe.printSchema

If you’re confident the schema of all files is consistent, then just infer the schema from a single file and reuse it when loading the whole data set: val schema = spark.read.json(“/path/to/single/file.json”).schema val wholeDataSet = spark.read.schema(schema).json(“/path/to/whole/datasets”)

Generating StructType from dataframe.printSchema

Hello Spark users, Does anyone know if there is a way to generate the Scala code for a complex structure just from the output of dataframe.printSchema? I have to analyse a significant volume of data and want to explicitly set the schema(s) to avoid having to read my (compressed) JSON files