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queryBuilder

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Overview

queryBuilder provides syntax for defining complex filtering expressions in a programmatic way.
Filtering query, built as a nested list configuration, can be easily stored in other formats like ‘YAML’ or ‘JSON’. The package also allows to convert such configuration to a valid expression that can be applied with popular ‘dplyr’ package operations.

Rules

The package allows to construct queries using rules (queryRule) that are filtering operations performed on a single query.
A single rule consists of:

  • field - name of the variable/column to be filtered,
  • operator - name of the filtering function to apply to the field,
  • value - non-mandatory value precising the filtering by the operator.

As an example:

queryRule(
  field = "am",
  operator = "equal",
  value = 1
)

by the default package configuration, is interpreted as am == 1 expression.

In order to convert a rule to expression use queryToExpr function:

my_query <- queryRule(
  field = "am",
  operator = "equal",
  value = 1
)
queryToExpr(my_query)
#> am == 1

Such expression can be then used by dplyr::filter:

mtcars %>% dplyr::filter(!!queryToExpr(my_query))
#> # A tibble: 13 × 11
#>     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1  21       6 160     110  3.9   2.62  16.5     0     1     4     4
#> 2  21       6 160     110  3.9   2.88  17.0     0     1     4     4
#> 3  22.8     4 108      93  3.85  2.32  18.6     1     1     4     1
#> 4  32.4     4  78.7    66  4.08  2.2   19.5     1     1     4     1
#> 5  30.4     4  75.7    52  4.93  1.62  18.5     1     1     4     2
#> # ℹ 8 more rows

To see a full list of supported operators (along with corresponding R functions) check:

listQueryOperators()
#> equal: ==
#> not_equal: !=
#> in: %in%
#> not_in: Negate(`%in%`)
#> less: <
#> less_or_equal: <=
#> greater: >
#> greater_or_equal: >=
#> between: queryBuilder::in_range
#> not_between: Negate(queryBuilder::in_range)
#> begins_with: startsWith
#> not_begins_with: Negate(startsWith)
#> contains: queryBuilder::in_string
#> not_contains: Negate(queryBuilder::in_string)
#> ends_with: endsWith
#> not_ends_with: Negate(endsWith)
#> is_empty: queryBuilder::is_empty
#> not_is_empty: Negate(queryBuilder::is_empty)
#> is_null: is.na
#> not_is_null: Negate(is.na)

More detailed description of supported operators can be found at vignette("operators").

You can also define custom operators with setQueryOperators().

Groups

To build more complex queries queryBuilder introduces groups (queryGroup) that allow to combine multiple rules with the specified condition (logical operator).

The below query:

my_query <- queryGroup(
  condition = "AND",
  queryRule(
    field = "am",
    operator = "equal",
    value = 1
  ),
  queryRule(
    field = "vs",
    operator = "equal",
    value = 0
  )
)

uses "AND" condition to combine the two rules which is by default interpreted as & logical operator:

queryToExpr(my_query)
#> am == 1 & vs == 0

queryGroup can also combine other groups which enables to build even more advanced queries:

my_query <- queryGroup(
  condition = "AND",
  queryRule("qsec", "greater", 20),
  queryGroup(
    condition = "OR",
    queryRule(
      field = "am",
      operator = "equal",
      value = 1
    ),
    queryRule(
      field = "vs",
      operator = "equal",
      value = 0
    )
  )
)
queryToExpr(my_query)
#> qsec > 20 & (am == 1 | vs == 0)

By default the packages supports two conditions AND (&) and OR (|) but you can add your custom one with setQueryConditions().

The introduced syntax (rules, groups, operators and conditions) is based on query constructing rules as offered by jQuery-QueryBuilder JS framework.

The queryBuilder package is intended to be used as a backend for the shinyQueryBuilder package that will allow users to use jQuery-QueryBuilder in Shiny.

Installation

# CRAN version
install.packages("queryBuilder")

# Latest development version
remotes::install_github("https://github.com/r-world-devs/queryBuilder")

Acknowledgement

Special thanks to Kamil Wais, Adam Foryś, Maciej Banaś,Karolina Marcinkowska and Kamil Koziej for the support in the package development and thorough testing of its functionality.

Getting help

In a case you found any bugs, have feature request or general question please file an issue at the package Github. You may also contact the package author directly via email at [email protected].