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sparklyr.nested 0.0.4

• Replaced now-defunct dplyr::select_vars calls with tidyselect::vars_select
• Support (optionally) using listviewer::reactjson to view schemas

sparklyr.nested 0.0.3

• Initial release
• To support read schemas, array_type, binary_type, boolean_type, byte_type, character_type, date_type, double_type, float_type, integer_type, long_type, map_type, numeric_type, string_type, struct_field, struct_type, and timestamp_type are provided. These will return java references needed for schema definition.
• sdf_select enables access to nested fields (within maps, structs, and arrays of structs).
• sdf_explode will convert arrays of structs to simple structs by duplicating rows over each unique array entry. Also works on map types if is_map=TRUE.
• sdf_nest and sdf_unnest are similar to the similarly named tidyr functions. sdf_unnest essentially chains sdf_explode and sdf_select with some schema inspection.
• sdf_schema_json and sdf_schema_viewer support schema interrogation

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.