nz_convert_df_to_dggs: dataframe to dggs
Description
Converts a dataframe with a DGGID/TID column and set of other columns (keys) to csv datasets to be able to import them into netezza. You can import csv files to the database using nz_import_dir_to_db function
Usage
nz_convert_df_to_dggs(DGGID, TID, df, SaveIn, convertKeys = "all")
Arguments
| Argument | Description | 
|---|---|
DGGID | 
A dataframe column containing DGGIDs | 
TID | 
An integer or dataframe column | 
df | 
dataframe with the remaining keys. Remove DGGID/TID columns from it | 
SaveIn | 
The directory path to store data there. It must exist | 
convertKeys | 
Keys that are supposed to be converted. all means converting all the keys. NA means does not convert any keys.Use a vector of column names to only convert specific keys | 
Value
Examples
csv<-read.csv2("D:\\UserData\\Majid\\Downloads\\mpb-ev.csv",sep=",")
head(csv)
nz_convert_df_to_dggs(csv$DGGID,-1,csv,"E:\\home\\crobertson")\
#importing to the db
DSN <- nz_init("NZSQLF","SPATIAL_SCHEMA")
nz_import_dir_to_db(DSN,"/home/crobertson/import/","mbpev","varchar(100)")
  
    
      Last update: June 26, 2020