Currently, reading with the specified scheme does not work. For example, we have a yt table where one of the columns is of the int type, and we want to immediately read it as a string.
How to reproduce:
val sourceDF = spark.read
.schema(schema)
.yt(cfg.source_yt)
Expected behavior:
When reading, you can immediately specify the desired scheme that you want to use.
Currently, reading with the specified scheme does not work. For example, we have a yt table where one of the columns is of the int type, and we want to immediately read it as a string.
How to reproduce: val sourceDF = spark.read .schema(schema) .yt(cfg.source_yt)
Expected behavior: When reading, you can immediately specify the desired scheme that you want to use.