convert_records {cdata}R Documentation

General transform from arbitrary record shape to arbitrary record shape.

Description

General transform from arbitrary record shape to arbitrary record shape.

Usage

convert_records(
  table,
  incoming_shape = NULL,
  outgoing_shape = NULL,
  ...,
  keyColumns = NULL,
  columnsToCopy_in = NULL,
  checkNames = TRUE,
  checkKeys = FALSE,
  strict = FALSE,
  incoming_controlTableKeys = colnames(incoming_shape)[[1]],
  outgoing_controlTableKeys = colnames(outgoing_shape)[[1]],
  tmp_name_source = wrapr::mk_tmp_name_source("crec"),
  temporary = TRUE,
  allow_rqdatatable_in = FALSE,
  allow_rqdatatable_out = FALSE
)

Arguments

table

data.frame or relop.

incoming_shape

data.frame, definition of incoming record shape.

outgoing_shape

data.frame, defintion of outgoing record shape.

...

force later arguments to bind by name.

keyColumns

character vector of column defining incoming row groups

columnsToCopy_in

character array of incoming column names to copy.

checkNames

logical, if TRUE check names.

checkKeys

logical, if TRUE check columnsToCopy form row keys (not a requirement, unless you want to be able to invert the operation).

strict

logical, if TRUE check control table name forms.

incoming_controlTableKeys

character, which column names of the incoming control table are considered to be keys.

outgoing_controlTableKeys

character, which column names of the outgoing control table are considered to be keys.

tmp_name_source

a tempNameGenerator from cdata::mk_tmp_name_source()

temporary

logical, if TRUE use temporary tables

allow_rqdatatable_in

logical, if TRUE allow rqdatatable shortcutting on simple conversions.

allow_rqdatatable_out

logical, if TRUE allow rqdatatable shortcutting on simple conversions.

Value

processing pipeline or transformed table

Examples



incoming_shape <- qchar_frame(
  "row",  "col1", "col2", "col3" |
  "row1",   v11,     v12,  v13   |
  "row2",   v21,     v22,  v23   |
  "row3",   v31,     v32,  v33   )


outgoing_shape <- qchar_frame(
  "column", "row1", "row2", "row3" |
  "col1",      v11,  v21  ,  v31   |
  "col2",      v12,  v22  ,  v32   |
  "col3",      v13,  v23  ,  v33   )

data <- build_frame(
  'record_id', 'row',  'col1', 'col2', 'col3'  |
  1,           'row1',  1,      2,      3      |
  1,           'row2',  4,      5,      6      |
  1,           'row3',  7,      8,      9      |
  2,           'row1',  11,     12,     13     |
  2,           'row2',  14,     15,     16     |
  2,           'row3',  17,     18,     19     )

print(data)

convert_records(
  data,
  keyColumns = 'record_id',
  incoming_shape = incoming_shape,
  outgoing_shape = outgoing_shape)

td <- rquery::local_td(data)

ops <- convert_records(
  td,
  keyColumns = 'record_id',
  incoming_shape = incoming_shape,
  outgoing_shape = outgoing_shape)

cat(format(ops))




[Package cdata version 1.2.0 Index]