我认为MonetDB.R
过滤 NA 的方式存在错误,请参见下面的示例代码:
用于对对象进行一般 SQL 查询的便捷实用功能monet.frame
:
#' Apply general SQL queries to a monet.frame object and return the
#' result in a new monet.frame.
#'
#' @note Likely to break if \code{attr(data, "query")} contains
#' LIMIT or OFFSET statements.
#'
#' @param _data a monet.frame object
#' @param query an SQL query, using "_DATA_" as the placeholder for the
#' name of the table underlying the \code{_data}-object.
#' @param keep_order should ORDER BY statements in the original query be kept?
#' Will break if columns in the ORDER BY statement are not in the returned
#' table.
#' @importFrom stringr str_extract_all
#' @export
transform.monet.frame <- function(`_data`, query, keep_order=TRUE, ...){
stopifnot(require(stringr))
nm <- paste(sample(letters, 15, rep=TRUE), collapse="")
oldquery <- attr(`_data`, "query")
if(has_order <- grepl("(ORDER BY)", attr(`_data`, "query"))){
pattern <- "(ORDER BY[[:space:]]+[[:alnum:]]+((,[[:space:]]*[[:alnum:]]+)*))"
pattern <- ignore.case(pattern)
orderby <- str_extract_all(oldquery, pattern)[[1]]
oldquery <- gsub(pattern, "", oldquery, ignore.case = TRUE)
}
query <- gsub("_DATA_", paste("(", oldquery, ") AS", nm), query)
if(has_order & keep_order) query <- paste(query, orderby)
monet.frame(attr(`_data`, "conn"), query)
}
例子:
# library(MonetDB.R); monetdb <- dbConnect( MonetDB.R(), ... etc
set.seed(1212)
tablename <- paste(sample(letters, 10), collapse="")
data <- data.frame(x=rnorm(100), f=gl(2, 50))
# introduce some NAs ...
data$xna <- data$x
data$xna[1:10] <- NA
dbWriteTable(monetdb, tablename, data)
dm <- monet.frame(monetdb, tablename)
str(na.omit(dm$xna))
# MonetDB-backed data.frame surrogate
# 1 column, 100 rows
# Query: SELECT xna FROM gcxinabtme WHERE ( NOT (('xna') IS NULL) )
# Columns: xna (numeric)
100行!?!应该是90...
nrow(transform(dm, "SELECT xna FROM _DATA_ WHERE (xna IS NOT NULL)"))
# 90
## as it should be
nrow(transform(dm, "SELECT xna FROM _DATA_ WHERE ('xna' IS NOT NULL)"))
# 100
## so quoting the column name seems to mess this up..
我想我理解为什么引用列名是必要的(所以这也适用于非标准列名,对吗?),但是为什么这会弄乱查询结果呢?这两个不应该是完全等价的查询吗?另外,如果确实需要引用列名,为什么第一次出现的xna
没有被引用
# Query: SELECT xna FROM gcxinabtme WHERE ( NOT (('xna') IS NULL) )
我注意到这一点是因为它也会使其他monet.frame
-methods 行为异常,例如:
quantile(dm$xna, na.rm=TRUE)
# 0% 25% 50% 75% 100%
# NA -0.9974738 -0.3033412 0.4272321 2.6715264
编辑添加:
na.fail
似乎也坏了:
它不会引发错误,而是在应用于包含 NA 的列时返回 NULL,并带有一个神秘的警告,乍一看表明实际上没有 NA:
str(na.fail(dm$xna))
# NULL
# Warning message:
# In monet.frame.internal(attr(x, "conn"), nquery, .is.debug(x), nrow.hint = NA, :
# SELECT xna FROM gcxinabtme WHERE ( ('xna') IS NULL ) has zero-row result set.
如果没有 NA,na.fail()
则应根据泛型文档原样返回其参数,但它也不这样做:
str(na.fail(dm$x))
# NULL
# Warning message:
# In monet.frame.internal(attr(x, "conn"), nquery, .is.debug(x), nrow.hint = NA, :
# SELECT x FROM gcxinabtme WHERE ( ('x') IS NULL ) has zero-row result set.