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Filtering SQLite and data.frame give different results when using OR (|) #934

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EricEdwardBryant opened this issue Jan 30, 2015 · 0 comments
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bug an unexpected problem or unintended behavior
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@EricEdwardBryant
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In reference to - http://stackoverflow.com/questions/28205184/

library(dplyr)
packageVersion('dplyr')
# [1] ‘0.4.1’

df <- tbl_df(data.frame(
  v1 = c('a', 'b', 'a', 'b'),
  v2 = c('b', 'a', 'a', 'b'),
  v3 = month.abb[1:4]))

db <- copy_to(src_sqlite('example.sqlite', create = TRUE), df)

filter(df, v1 == 'a' | v2 == 'a', v3 == 'Jan') 
# Source: local data frame [1 x 3]
#
#   v1 v2  v3
#1  a  b Jan

filter(db, v1 == 'a' | v2 == 'a', v3 == 'Jan')
# Source: sqlite 3.8.6 [example.sqlite]
# From: df [2 x 3]
# Filter: v1 == "a" | v2 == "a", v3 == "Jan" 
#
#  v1 v2  v3
#1  a  b Jan
#2  a  a Mar

filter(db, v1 == 'a' | v2 == 'a', v3 == 'Jan') %>% show_query()
# <SQL>
#   SELECT "v1", "v2", "v3"
# FROM "df"
# WHERE "v1" = 'a' OR "v2" = 'a' AND "v3" = 'Jan'

filter(db, (v1 == 'a' | v2 == 'a'), v3 == 'Jan')
# Source: sqlite 3.8.6 [example.sqlite]
# From: df [1 x 3]
# Filter: (v1 == "a" | v2 == "a"), v3 == "Jan" 
# 
# v1 v2  v3
#1  a  b Jan

Filtering the data.frame returns 1 row (as expected), whereas filtering the database returns 2 rows. This is fixed by adding explicit parentheses around the argument containing the OR expression in filter when querying the database. Perhaps ... arguments given to filter should be implicitly wrapped in parentheses?

@hadley hadley added this to the 0.5 milestone May 19, 2015
@hadley hadley added bug an unexpected problem or unintended behavior SQL labels Oct 22, 2015
@hadley hadley closed this as completed in dcb08f8 Mar 7, 2016
@lock lock bot locked as resolved and limited conversation to collaborators Jun 9, 2018
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