You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
boB Rudis 10500e580c
heading to CRAN
6 years ago
R Travis run for pre-CRAN flight check 6 years ago
docs pkgdown 8 years ago
inst/extdata gz ndjson 8 years ago
man pre-CRAN flight check 7 years ago
src Travis run for pre-CRAN flight check 6 years ago
tests Travis run for pre-CRAN flight check 6 years ago
.Rbuildignore prep for 3.4 7 years ago
.gitignore initial commit 8 years ago
.travis.yml seeing if I can get Travis to not error out 7 years ago
CONDUCT.md conduct / gitlab url 8 years ago
DESCRIPTION heading to CRAN 6 years ago
INSTALL Still trying to get Travis to use g++ 4.9 8 years ago
LICENSE Update license & CRAN comments 6 years ago
NAMESPACE pre-CRAN flight check 7 years ago
NEWS.md Update license & CRAN comments 6 years ago
README.Rmd Travis run for pre-CRAN flight check 6 years ago
README.md heading to CRAN 6 years ago
cran-comments.md heading to CRAN 6 years ago
ndjson.Rproj initial commit 8 years ago

README.md

Travis-CI BuildStatus CRAN\_Status\_Badge downloads

ndjson

Wicked-fast Streaming JSON (‘ndjson’) Reader

Description

Rcpp/C++11 wrapper for https://github.com/nlohmann/json

The goal is to create a completely “flat” data.frame-like structure from ndjson records in plain text ndjson files or gzip’d ndjson files.

Installation guidance for Linux/BSD-ish systems

CRAN has binaries for Windows and macOS. To build this on UNIX-like systems, you need at least g++4.9 or clang++. This is a forced requirement by the ndjson library.

The least painful way to do this is to install gcc >= 4.9 (and you should install ccache while you’re at it) and mmodfiy ~/.R/Makevars thusly:

# Use whatever version of (g++ >=4.9 or clang++) that you downloaded
VER=-4.9
CC=ccache gcc$(VER)
CXX=ccache g++$(VER)
SHLIB_CXXLD=g++$(VER)
FC=ccache gfortran
F77=ccache gfortran

Why ndjson + Examples

An example of such files are the output from Rapid7 internet-wide scans, such as their HTTPS study. A gzip’d extract of 100,000 of one of those scans weighs in abt about 171MB. The records sometimes contain heavily nested JSON elements depending on how comprehensive the certificate data and other fields were. A typical record will look like this:

{
  "vhost": "teamchat.buzzpoints.com",
  "host": "52.87.143.83",
  "certsubject": {
    "CN": "teamchat.buzzpoints.com"
  },
  "ip": "52.87.143.83",
  "data": "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",
  "port": "443"
}

A system.time(df <- stream_in("https-extract.json.gz")) results in:

   user  system elapsed 
 14.822   0.224  15.189 

on a 13" MacBook Pro and produces:

Classes ‘tbl_dt’, ‘tbl’, ‘data.table’ and 'data.frame': 100000 obs. of  36 variables:
 $ certsubject.CN                 : chr  "*.tio.ch" "*.starwoodhotels.com" "a.ssl.fastly.net" "a.ssl.fastly.net" ...
 $ data                           : chr  "SFRUUC8xLjEgNDAzIEZvcmJpZGRlbg0KU2VydmVyOiBjbG91ZGZsYXJlLW5naW54DQpEYXRlOiBNb24sIDIyIEF1ZyAyMDE2IDE3OjE2OjE2IEdNVA0KQ29udGVudC1"| __truncated__ "SFRUUC8xLjAgNDAwIEJhZCBSZXF1ZXN0DQpTZXJ2ZXI6IEFrYW1haUdIb3N0DQpNaW1lLVZlcnNpb246IDEuMA0KQ29udGVudC1UeXBlOiB0ZXh0L2h0bWwNCkNvbnR"| __truncated__ "SFRUUC8xLjEgNTAwIERvbWFpbiBOb3QgRm91bmQNClNlcnZlcjogVmFybmlzaA0KUmV0cnktQWZ0ZXI6IDANCmNvbnRlbnQtdHlwZTogdGV4dC9odG1sDQpDYWNoZS1"| __truncated__ "SFRUUC8xLjEgNTAwIERvbWFpbiBOb3QgRm91bmQNClNlcnZlcjogVmFybmlzaA0KUmV0cnktQWZ0ZXI6IDANCmNvbnRlbnQtdHlwZTogdGV4dC9odG1sDQpDYWNoZS1"| __truncated__ ...
 $ host                           : chr  "104.20.28.6" "104.80.186.186" "151.101.255.54" "151.101.158.15" ...
 $ ip                             : chr  "104.20.28.6" "104.80.186.186" "151.101.255.54" "151.101.158.15" ...
 $ port                           : chr  "443" "443" "443" "443" ...
 $ vhost                          : chr  "104.20.28.6" "104.80.186.186" "a.ssl.fastly.net" "a.ssl.fastly.net" ...
 $ certsubject.C                  : chr  NA "US" "US" "US" ...
 $ certsubject.L                  : chr  NA "Stamford" "San Francisco" "San Francisco" ...
 $ certsubject.O                  : chr  NA "STARWOOD HOTELS AND RESORTS WORLDWIDE, INC." "Fastly, Inc." "Fastly, Inc." ...
 $ certsubject.OU                 : chr  NA "IT Solutions" NA NA ...
 $ certsubject.ST                 : chr  NA "Connecticut" "California" "California" ...
 $ certsubject.emailAddress       : chr  NA NA NA NA ...
 $ certsubject.UNDEF              : chr  NA NA NA NA ...
 $ certsubject.businessCategory   : chr  NA NA NA NA ...
 $ certsubject.postalCode         : chr  NA NA NA NA ...
 $ certsubject.serialNumber       : chr  NA NA NA NA ...
 $ certsubject.street             : chr  NA NA NA NA ...
 $ certsubject.SN                 : chr  NA NA NA NA ...
 $ certsubject.unstructuredName   : chr  NA NA NA NA ...
 $ certsubject.ITU-T              : chr  NA NA NA NA ...
 $ certsubject.GN                 : chr  NA NA NA NA ...
 $ certsubject.description        : chr  NA NA NA NA ...
 $ certsubject.subjectAltName     : chr  NA NA NA NA ...
 $ certsubject.name               : chr  NA NA NA NA ...
 $ certsubject.DC                 : chr  NA NA NA NA ...
 $ certsubject.postOfficeBox      : chr  NA NA NA NA ...
 $ certsubject.dnQualifier        : chr  NA NA NA NA ...
 $ certsubject.generationQualifier: chr  NA NA NA NA ...
 $ certsubject.initials           : chr  NA NA NA NA ...
 $ certsubject.pseudonym          : chr  NA NA NA NA ...
 $ certsubject.title              : chr  NA NA NA NA ...
 $ certsubject                    : int  NA NA NA NA NA NA NA NA NA NA ...
 $ certsubject.unstructuredAddress: chr  NA NA NA NA ...
 $ certsubject.UID                : chr  NA NA NA NA ...
 $ certsubject.mail               : chr  NA NA NA NA ...
 $ certsubject.Mail               : chr  NA NA NA NA ...
 - attr(*, ".internal.selfref")=<externalptr> 

All of the certificate sub-field data elents have been expanded and we have a highly performant tbl_dt to work with now either in dplyr syntax or data.table heiroglyphic syntax. Just go see what you have to do in jsonlite to get a similar output (and how long it will take).

pryr::object_size(df) for that shows it’s consuming 394 MB, which means we can read in many more extracts comfortably on a reasonably configured system and most (if not all) of it on a well-configured AWS box.

However, if you do end up trying to work with that scan data, it’s highly recommended that you use jq to filter out the fields or records you want into a more compact ndjson file.

What’s inside the tin?

The following functions are implemented:

  • stream_in: Stream in ndjson from a file (handles .gz files)
  • validate: Validate JSON records in an ndjson file (handles .gz files)
  • flatten: Flatten a character vector of individual JSON lines

There are no current plans for a stream_out() function since jsonlite::stream_out() does a great job tossing data.frame-like structures out to an ndjson file.

Installation

devtools::install_git("https://gitlab.com/hrbrmstr/ndjson.git")

Usage

library(ndjson)
library(microbenchmark)

# current verison
packageVersion("ndjson")
## [1] '0.5.1'
flatten('{"top":{"next":{"final":1,"end":true},"another":"yes"},"more":"no"}')
## Source: local data table [1 x 4]
## 
## # A tibble: 1 x 4
##    more top.another top.next.end top.next.final
##   <chr>       <chr>        <lgl>          <dbl>
## 1    no         yes         TRUE              1
f <- system.file("extdata", "test.json", package="ndjson")
gzf <- system.file("extdata", "testgz.json.gz", package="ndjson")

dplyr::glimpse(ndjson::stream_in(f))
## Observations: 100
## Variables: 8
## $ args                      <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N...
## $ headers.Accept            <chr> "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*...
## $ `headers.Accept-Encoding` <chr> "identity", "identity", "identity", "identity", "identity", "identity", "identity...
## $ headers.Host              <chr> "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpb...
## $ `headers.User-Agent`      <chr> "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)...
## $ id                        <dbl> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,...
## $ origin                    <chr> "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.2...
## $ url                       <chr> "http://httpbin.org/stream/100", "http://httpbin.org/stream/100", "http://httpbin...
dplyr::glimpse(ndjson::stream_in(gzf))
## Observations: 100
## Variables: 8
## $ args                      <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N...
## $ headers.Accept            <chr> "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*...
## $ `headers.Accept-Encoding` <chr> "identity", "identity", "identity", "identity", "identity", "identity", "identity...
## $ headers.Host              <chr> "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpb...
## $ `headers.User-Agent`      <chr> "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)...
## $ id                        <dbl> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,...
## $ origin                    <chr> "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.2...
## $ url                       <chr> "http://httpbin.org/stream/100", "http://httpbin.org/stream/100", "http://httpbin...
dplyr::glimpse(jsonlite::stream_in(file(f), flatten=TRUE, verbose=FALSE))
## Observations: 100
## Variables: 7
## $ url                       <chr> "http://httpbin.org/stream/100", "http://httpbin.org/stream/100", "http://httpbin...
## $ id                        <int> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,...
## $ origin                    <chr> "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.2...
## $ headers.Host              <chr> "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpb...
## $ `headers.Accept-Encoding` <chr> "identity", "identity", "identity", "identity", "identity", "identity", "identity...
## $ headers.Accept            <chr> "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*...
## $ `headers.User-Agent`      <chr> "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)...
dplyr::glimpse(jsonlite::stream_in(gzfile(gzf), flatten=TRUE, verbose=FALSE))
## Observations: 100
## Variables: 7
## $ url                       <chr> "http://httpbin.org/stream/100", "http://httpbin.org/stream/100", "http://httpbin...
## $ id                        <int> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,...
## $ origin                    <chr> "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.22", "50.252.233.2...
## $ headers.Host              <chr> "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpbin.org", "httpb...
## $ `headers.Accept-Encoding` <chr> "identity", "identity", "identity", "identity", "identity", "identity", "identity...
## $ headers.Accept            <chr> "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*", "*/*...
## $ `headers.User-Agent`      <chr> "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)", "Wget/1.18 (darwin15.5.0)...
microbenchmark(
    ndjson={ ndjson::stream_in(f) },
  jsonlite={ jsonlite::stream_in(file(f), flatten=TRUE, verbose=FALSE) }
)
## Unit: milliseconds
##      expr      min       lq     mean   median       uq      max neval cld
##    ndjson 1.800783 1.930446 2.065061 2.005727 2.096662 4.130570   100  a 
##  jsonlite 4.134592 4.421841 4.654954 4.521327 4.733410 6.111577   100   b
microbenchmark(
    ndjson={ ndjson::stream_in(gzf) },
  jsonlite={ jsonlite::stream_in(gzfile(gzf), flatten=TRUE, verbose=FALSE) }
)
## Unit: milliseconds
##      expr      min       lq     mean   median       uq      max neval cld
##    ndjson 2.017332 2.121698 2.211727 2.189572 2.293966 2.568628   100  a 
##  jsonlite 3.281890 3.536046 3.861011 3.695738 4.044416 6.466599   100   b

Test Results

library(ndjson)
library(testthat)

date()
## [1] "Mon Mar  5 11:05:09 2018"
test_dir("tests/")
## ✔ | OK F W S | Context
## ══ testthat results  ══════════════════════════════════════════════════════════
## OK: 8 SKIPPED: 0 FAILED: 0
## 
## ══ Results ════════════════════════════════════════════════════════════════════
## Duration: 0.3 s
## 
## OK:       0
## Failed:   0
## Warnings: 0
## Skipped:  0

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.