Tools to work with the Google DNS over HTTPS API in R
https://cinc.rud.is/web/packages/gdns/
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48 Zeilen
2.2 KiB
48 Zeilen
2.2 KiB
#' Vectorized query, returning only answers in a data frame
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#'
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#' @param entities character vector of entities to query
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#' @param type RR type can be represented as a number in [1, 65535] or canonical
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#' string (A, aaaa, etc). More information on RR types can be
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#' found \href{http://www.iana.org/assignments/dns-parameters/dns-parameters.xhtml#dns-parameters-4}{here}.
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#' @param cd (Checking Disabled) flag. Use `TRUE` to disable DNSSEC validation;
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#' Default: `FALSE`.
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#' @param do (DNSSEC OK) flag. Use `TRUE` include DNSSEC records (RRSIG, NSEC, NSEC3);
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#' Default: `FALSE`.
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#' @param edns_client_subnet The edns0-client-subnet option. Format is an IP
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#' address with a subnet mask. Examples: \code{1.2.3.4/24},
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#' \code{2001:700:300::/48}.\cr
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#' If you are using DNS-over-HTTPS because of privacy concerns, and do
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#' not want any part of your IP address to be sent to authoritative
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#' nameservers for geographic location accuracy, use
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#' \code{edns_client_subnet=0.0.0.0/0}. Google Public DNS normally sends
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#' approximate network information (usually replacing the last part of
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#' your IPv4 address with zeroes). \code{0.0.0.0/0} is the default.
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#' @return \code{data.frame} of only answers (use \code{query()} for detailed responses)
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#' @references \url{https://developers.google.com/speed/public-dns/docs/dns-over-https}
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#' @export
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#' @note this is a fairly naive function. It expects \code{Answer} to be one of the
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#' return value list slots. The intent for it was to make it easier
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#' to do bulk forward queries. It will get smarter in future versions.
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#' @examples
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#' hosts <- c("rud.is", "r-project.org", "rstudio.com", "apple.com")
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#' gdns::bulk_query(hosts)
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bulk_query <- function(entities, type = 1, cd = FALSE, do = FALSE,
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edns_client_subnet = "0.0.0.0/0") {
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lapply(
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entities,
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query, type = type, cd = cd,
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edns_client_subnet = edns_client_subnet
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) -> results
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lapply(seq_along(results), function(idx) {
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res <- as.data.frame(results[[idx]])
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res$entity <- entities[[idx]]
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res
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}) -> xlst
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xdf <- do.call(rbind.data.frame, xlst)
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class(xdf) <- c("tbl_df", "tbl", "data.frame")
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xdf
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}
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