Write xml-object to disk

前提是你 提交于 2019-11-27 04:39:32

问题


I have a big bunch of xml-files, which I need to process. For that matter I want to be able to read the files, and save the resulting list of objects to disk. I tried to save the list with readr::write_rds, but after reading it in again, the object is somewhat modified, and not valid any more. Is there anything I can do to alleviate this problem?

library(readr)
library(xml2)

x <- read_xml("<foo>
              <bar>text <baz id = 'a' /></bar>
              <bar>2</bar>
              <baz id = 'b' />
              </foo>")

# function to save and read object
roundtrip <- function(obj) {
  tf <- tempfile()
  on.exit(unlink(tf))

  write_rds(obj, tf)
  read_rds(tf)
}

list(x)
#> [[1]]
#> {xml_document}
#> <foo>
#> [1] <bar>text <baz id="a"/></bar>
#> [2] <bar>2</bar>
#> [3] <baz id="b"/>
roundtrip(list(x))
#> [[1]]
#> {xml_document}

identical(x, roundtrip(x))
#> [1] FALSE
all.equal(x, roundtrip(x))
#> [1] TRUE
xml_children(roundtrip(x))
#> Error in fun(x$node, ...): external pointer is not valid
as_list(roundtrip(x))
#> Error in fun(x$node, ...): external pointer is not valid

Some context

I have around 500,000 xml-files. To process them I planned on turning them into a list with xml2::as_list and I wrote code to extract what I need. Afterwards I realized, that as_list is very expensive to run. I could either:

  1. re-write already carefully debugged code to parse data directly (xml_child, xml_text, ...), or
  2. use as_list.

In order to speed up no. 2 I could run it on another machine with more cores, but I would like to pass a single file to that machine, because collecting and copying all files is time-consuming.


回答1:


xml2 objects have external pointers that become invalid when you serialize them naively. The package provides xml_serialize() and xml_unserialize() objects to handle this for you. Unfortunately the API is slightly cumbersome because base::serialize() and base::unserialize() assume an open connection.


library(xml2)

x <- read_xml("<foo>
              <bar>text <baz id = 'a' /></bar>
              <bar>2</bar>
              <baz id = 'b' />
              </foo>")

# function to save and read object
roundtrip <- function(obj) {
  tf <- tempfile()
  con <- file(tf, "wb")
  on.exit(unlink(tf))

  xml_serialize(obj, con)
  close(con)
  con <- file(tf, "rb")
  on.exit(close(con), add = TRUE)
  xml_unserialize(con)
}
x
#> {xml_document}
#> <foo>
#> [1] <bar>text <baz id="a"/></bar>
#> [2] <bar>2</bar>
#> [3] <baz id="b"/>
(y <- roundtrip(x))
#> {xml_document}
#> <foo>
#> [1] <bar>text <baz id="a"/></bar>
#> [2] <bar>2</bar>
#> [3] <baz id="b"/>

identical(x, y)
#> [1] FALSE
all.equal(x, y)
#> [1] TRUE
xml_children(y)
#> {xml_nodeset (3)}
#> [1] <bar>text <baz id="a"/></bar>
#> [2] <bar>2</bar>
#> [3] <baz id="b"/>
as_list(y)
#> $bar
#> $bar[[1]]
#> [1] "text "
#> 
#> $bar$baz
#> list()
#> attr(,"id")
#> [1] "a"
#> 
#> 
#> $bar
#> $bar[[1]]
#> [1] "2"
#> 
#> 
#> $baz
#> list()
#> attr(,"id")
#> [1] "b"

Also in regards to the second part of your question, I would seriously consider using XPATH expressions to extract the desired data, even if you have to rewrite code.



来源:https://stackoverflow.com/questions/44070577/write-xml-object-to-disk

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