Users can access actual column and path variables by passing a SELECT query with each required column and path variable selected from foreign table. Each path variable must be typecast to a valid type and then aliased to the appropriate column name. This allows user to access path variables along with Parquet data. It is up to the user on what must be selected in SELECT query: columns, attributes, keys from foreign table and path variables.
Example
SELECT query with each column and path variable selected.
# Select query with each column from CSV selected. Each column is typecast to a valid type and then aliased to the required column name. # Note that we are selecting each attribute including path variables. > query = "SELECT CAST($path.$var1 AS CHAR(10)) Var1, CAST($path.$var2 AS CHAR(4)) Var2, CAST($path.$var3 AS CHAR(2)) var3, CAST($path.$var4 AS CHAR(2)) Var4, GageHeight2, Flow, site_no, datetime, Precipitation, GageHeight FROM riverflow_parquet"
Create a tbl_teradata object on the query and display the head of the tbl_teradata object.
> wrk1df <- tbl(con, sql(query)) > as.data.frame(head(wrk1df))
A data.frame: 6 × 10 Var1 Var2 var3 Var4 GageHeight2 Flow site_no datetime Precipitation GageHeight <chr> <chr> <chr> <chr> <dbl> <dbl> <int64> <chr> <dbl> <dbl> 1 PARQUETDAT 0939 20 07 1.50 44.7 9396100 2018-07-16 00:00 0 1.50 2 PARQUETDAT 0939 20 07 1.98 160.0 9396100 2018-07-15 00:00 0 1.98 3 PARQUETDAT 0939 20 07 1.37 53.9 9396100 2018-07-13 00:00 0 1.56 4 PARQUETDAT 0939 20 07 2.11 210.0 9396100 2018-07-18 00:00 0 2.11 5 PARQUETDAT 0939 20 07 1.42 34.1 9396100 2018-07-16 00:15 0 1.42 6 PARQUETDAT 0939 20 07 1.96 153.0 9396100 2018-07-15 00:15 0 1.96