{"id":6146,"date":"2017-08-01T14:50:11","date_gmt":"2017-08-01T19:50:11","guid":{"rendered":"https:\/\/rud.is\/b\/?p=6146"},"modified":"2018-03-07T17:07:29","modified_gmt":"2018-03-07T22:07:29","slug":"r%e2%81%b6-reticulating-parquet-files","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/","title":{"rendered":"R\u2076 \u2014 Reticulating Parquet Files"},"content":{"rendered":"

The reticulate<\/code> package provides a very clean & concise interface bridge between R and Python which makes it handy to work with modules that have yet to be ported to R (going native is always better when you can do it). This post shows how to use reticulate<\/code> to create parquet files directly from R using reticulate<\/code> as a bridge to the pyarrow<\/code> module, which has the ability to natively create parquet files.<\/p>\n

Now, you can create parquet files through R with Apache Drill<\/a> — and, I’ll provide another example for that here — but, you may have need to generate such files and not have the ability to run Drill.<\/p>\n

The Python parquet process is pretty simple since you can convert a pandas<\/code> DataFrame<\/code> directly to a pyarrow<\/code> Table<\/code> which can be written out in parquet format with pyarrow.parquet<\/code>. We just need to follow this process through reticulate<\/code> in R:<\/p>\n

library(reticulate)\r\n\r\npd <- import("pandas", "pd")\r\npa <- import("pyarrow", "pa")\r\npq <- import("pyarrow.parquet", "pq")\r\n\r\nmtcars_py <- r_to_py(mtcars)\r\nmtcars_df <- pd$DataFrame$from_dict(mtcars_py)\r\nmtcars_tab <- pa$Table$from_pandas(mtcars_df)\r\n\r\npq$write_table(mtcars_tab, path.expand("~\/Data\/mtcars_python.parquet"))<\/code><\/pre>\n
I wouldn’t want to do that for ginormous data frames, but it should work pretty well for modest use cases (you’re likely using Spark, Drill, Presto or other “big data” platforms for creation of larger parquet structures). Here’s how we’d do that with Drill via the sergeant<\/code> package:<\/p>\n
readr::write_csv(mtcars, "~\/Data\/mtcars_r.csvh")\r\ndc <- drill_connection("localhost")\r\ndrill_query(dc, "CREATE TABLE dfs.tmp.`\/mtcars_r.parquet` AS SELECT * FROM dfs.root.`\/Users\/bob\/Data\/mtcars_r.csvh`")<\/code><\/pre>\n
Without additional configuration parameters, the reticulated-Python version (above) generates larger parquet files and also has an index column since they’re needed in Python DataFrame<\/code>s (ugh), but small-ish data frames will end up in a single file whereas the Drill created ones will be in a directory with an additional CRC file (and, much smaller by default). NOTE: You can<\/em> use preserve_index=False<\/code> on the call to Table.from_pandas<\/code> to get rid of that icky index.<\/p>\n
It’s fairly efficient even for something like nycflights13::flights<\/code> which has ~330K rows and 19 columns:<\/p>\n
system.time(\r\n  r_to_py(nycflights13::flights) %>% \r\n  pd$DataFrame$from_dict() %>% \r\n  pa$Table$from_pandas() %>% \r\n  pq$write_table(where = "\/tmp\/flights.parquet")\r\n)\r\n##    user  system elapsed \r\n##   1.285   0.108   1.398 <\/code><\/pre>\n
If you need to generate parquet files in a pinch, reticulate<\/code> seems to be a good way to go.<\/p>\n
UPDATE<\/strong> (2018-01-25)<\/p>\n
API’s change and while the above still works, there’s a slightly simpler way, now:<\/p>\n
library(reticulate)\r\n\r\npd <- import("pandas", "pd")\r\n\r\nmtcars_py <- r_to_py(mtcars)\r\nmtcars_df <- pd$DataFrame$from_dict(mtcars_py)\r\n\r\ncity_wx_df$to_parquet(path.expand("~\/Data\/mtcars_python.parquet"), "pyarrow")<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
The reticulate package provides a very clean & concise interface bridge between R and Python which makes it handy to work with modules that have yet to be ported to R (going native is always better when you can do it). This post shows how to use reticulate to create parquet files directly from R […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[764,91],"tags":[810],"class_list":["post-6146","post","type-post","status-publish","format-standard","hentry","category-data-wrangling","category-r","tag-post"],"yoast_head":"\nR\u2076 \u2014 Reticulating Parquet Files - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2017\/08\/01\/r\u2076-reticulating-parquet-files\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R\u2076 \u2014 Reticulating Parquet Files - rud.is\" \/>\n<meta property=\"og:description\" content=\"The reticulate package provides a very clean & concise interface bridge between R and Python which makes it handy to work with modules that have yet to be ported to R (going native is always better when you can do it). This post shows how to use reticulate to create parquet files directly from R […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/rud.is\/b\/2017\/08\/01\/r\u2076-reticulating-parquet-files\/\" \/>\n<meta property=\"og:site_name\" content=\"rud.is\" \/>\n<meta property=\"article:published_time\" content=\"2017-08-01T19:50:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-03-07T22:07:29+00:00\" \/>\n<meta name=\"author\" content=\"hrbrmstr\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"hrbrmstr\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/\"},\"author\":{\"name\":\"hrbrmstr\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\"},\"headline\":\"R\u2076 \u2014 Reticulating Parquet Files\",\"datePublished\":\"2017-08-01T19:50:11+00:00\",\"dateModified\":\"2018-03-07T22:07:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/\"},\"wordCount\":340,\"commentCount\":3,\"publisher\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\"},\"keywords\":[\"post\"],\"articleSection\":[\"data wrangling\",\"R\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/\",\"url\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/\",\"name\":\"R\u2076 \u2014 Reticulating Parquet Files - rud.is\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#website\"},\"datePublished\":\"2017-08-01T19:50:11+00:00\",\"dateModified\":\"2018-03-07T22:07:29+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2017\\\/08\\\/01\\\/r%e2%81%b6-reticulating-parquet-files\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/rud.is\\\/b\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R\u2076 \u2014 Reticulating Parquet Files\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#website\",\"url\":\"https:\\\/\\\/rud.is\\\/b\\\/\",\"name\":\"rud.is\",\"description\":\""In God we trust. All others must bring data"\",\"publisher\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/rud.is\\\/b\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\",\"name\":\"hrbrmstr\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/i0.wp.com\\\/rud.is\\\/b\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/ukr-shield.png?fit=460%2C460&ssl=1\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/rud.is\\\/b\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/ukr-shield.png?fit=460%2C460&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/rud.is\\\/b\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/ukr-shield.png?fit=460%2C460&ssl=1\",\"width\":460,\"height\":460,\"caption\":\"hrbrmstr\"},\"logo\":{\"@id\":\"https:\\\/\\\/i0.wp.com\\\/rud.is\\\/b\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/ukr-shield.png?fit=460%2C460&ssl=1\"},\"description\":\"Don't look at me\u2026I do what he does \u2014 just slower. #rstats avuncular \u2022 ?Resistance Fighter \u2022 Cook \u2022 Christian \u2022 [Master] Chef des Donn\u00e9es de S\u00e9curit\u00e9 @ @rapid7\",\"sameAs\":[\"http:\\\/\\\/rud.is\"],\"url\":\"https:\\\/\\\/rud.is\\\/b\\\/author\\\/hrbrmstr\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"R\u2076 \u2014 Reticulating Parquet Files - rud.is","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/rud.is\/b\/2017\/08\/01\/r\u2076-reticulating-parquet-files\/","og_locale":"en_US","og_type":"article","og_title":"R\u2076 \u2014 Reticulating Parquet Files - rud.is","og_description":"The reticulate package provides a very clean & concise interface bridge between R and Python which makes it handy to work with modules that have yet to be ported to R (going native is always better when you can do it). This post shows how to use reticulate to create parquet files directly from R […]","og_url":"https:\/\/rud.is\/b\/2017\/08\/01\/r\u2076-reticulating-parquet-files\/","og_site_name":"rud.is","article_published_time":"2017-08-01T19:50:11+00:00","article_modified_time":"2018-03-07T22:07:29+00:00","author":"hrbrmstr","twitter_card":"summary_large_image","twitter_misc":{"Written by":"hrbrmstr","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/#article","isPartOf":{"@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/"},"author":{"name":"hrbrmstr","@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"headline":"R\u2076 \u2014 Reticulating Parquet Files","datePublished":"2017-08-01T19:50:11+00:00","dateModified":"2018-03-07T22:07:29+00:00","mainEntityOfPage":{"@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/"},"wordCount":340,"commentCount":3,"publisher":{"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"keywords":["post"],"articleSection":["data wrangling","R"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/","url":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/","name":"R\u2076 \u2014 Reticulating Parquet Files - rud.is","isPartOf":{"@id":"https:\/\/rud.is\/b\/#website"},"datePublished":"2017-08-01T19:50:11+00:00","dateModified":"2018-03-07T22:07:29+00:00","breadcrumb":{"@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/rud.is\/b\/2017\/08\/01\/r%e2%81%b6-reticulating-parquet-files\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/rud.is\/b\/"},{"@type":"ListItem","position":2,"name":"R\u2076 \u2014 Reticulating Parquet Files"}]},{"@type":"WebSite","@id":"https:\/\/rud.is\/b\/#website","url":"https:\/\/rud.is\/b\/","name":"rud.is","description":""In God we trust. All others must bring data"","publisher":{"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/rud.is\/b\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Person","Organization"],"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886","name":"hrbrmstr","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","contentUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1","width":460,"height":460,"caption":"hrbrmstr"},"logo":{"@id":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2023\/10\/ukr-shield.png?fit=460%2C460&ssl=1"},"description":"Don't look at me\u2026I do what he does \u2014 just slower. #rstats avuncular \u2022 ?Resistance Fighter \u2022 Cook \u2022 Christian \u2022 [Master] Chef des Donn\u00e9es de S\u00e9curit\u00e9 @ @rapid7","sameAs":["http:\/\/rud.is"],"url":"https:\/\/rud.is\/b\/author\/hrbrmstr\/"}]}},"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p23idr-1B8","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":4929,"url":"https:\/\/rud.is\/b\/2017\/01\/22\/create-parquet-files-from-r-data-frames-with-sergeant-apache-drill-a-k-a-make-parquet-files-great-again-in-r\/","url_meta":{"origin":6146,"position":0},"title":"Create Parquet Files From R Data Frames With sergeant & Apache Drill (a.k.a. Make Parquet Files Great Again in R)","author":"hrbrmstr","date":"2017-01-22","format":false,"excerpt":"2021-11-04 UPDATE: Just use {arrow}. Apache Drill is a nice tool to have in the toolbox as it provides a SQL front-end to a wide array of database and file back-ends and runs in standalone\/embedded mode on every modern operating system (i.e. you can get started with or play locally\u2026","rel":"","context":"In "Apache Drill"","block_context":{"text":"Apache Drill","link":"https:\/\/rud.is\/b\/category\/apache-drill\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6046,"url":"https:\/\/rud.is\/b\/2017\/05\/31\/drilling-into-csvs-teaser-trailer\/","url_meta":{"origin":6146,"position":1},"title":"Drilling Into CSVs \u2014 Teaser Trailer","author":"hrbrmstr","date":"2017-05-31","format":false,"excerpt":"I used reading a directory of CSVs as the foundational example in my recent post on idioms. During my exchange with Matt, Hadley and a few others -- in the crazy Twitter thread that spawned said post -- I mentioned that I'd personally \"just use Drill\u201d. I'll use this post\u2026","rel":"","context":"In "Apache Drill"","block_context":{"text":"Apache Drill","link":"https:\/\/rud.is\/b\/category\/apache-drill\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4753,"url":"https:\/\/rud.is\/b\/2016\/12\/20\/sergeant-a-r-boot-camp-for-apache-drill\/","url_meta":{"origin":6146,"position":2},"title":"sergeant : An R Boot Camp for Apache Drill","author":"hrbrmstr","date":"2016-12-20","format":false,"excerpt":"I recently mentioned that I've been working on a development version of an Apache Drill R package called sergeant. Here's a lifted \"TLDR\" on Drill: Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift,\u2026","rel":"","context":"In "Apache Drill"","block_context":{"text":"Apache Drill","link":"https:\/\/rud.is\/b\/category\/apache-drill\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6127,"url":"https:\/\/rud.is\/b\/2017\/07\/27\/reading-pcap-files-with-apache-drill-and-the-sergeant-r-package\/","url_meta":{"origin":6146,"position":3},"title":"Reading PCAP Files with Apache Drill and the sergeant R Package","author":"hrbrmstr","date":"2017-07-27","format":false,"excerpt":"It's no secret that I'm a fan of Apache Drill. One big strength of the platform is that it normalizes the access to diverse data sources down to ANSI SQL calls, which means that I can pull data from parquet, Hie, HBase, Kudu, CSV, JSON, MongoDB and MariaDB with the\u2026","rel":"","context":"In "Apache Drill"","block_context":{"text":"Apache Drill","link":"https:\/\/rud.is\/b\/category\/apache-drill\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":11215,"url":"https:\/\/rud.is\/b\/2018\/08\/04\/digging-into-mbox-details-a-tale-of-tm-reticulate\/","url_meta":{"origin":6146,"position":4},"title":"Digging into mbox details: A tale of tm & reticulate","author":"hrbrmstr","date":"2018-08-04","format":false,"excerpt":"\u2728 I had to processes a bunch of emails for a $DAYJOB task this week and my \"default setting\" is to use R for pretty much everything (this should come as no surprise). Treating mail as data is not an uncommon task and many R packages exist that can reach\u2026","rel":"","context":"In "Python"","block_context":{"text":"Python","link":"https:\/\/rud.is\/b\/category\/python-2\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22211,"url":"https:\/\/rud.is\/b\/2024\/08\/26\/reading-pcap-files-directly-with-duckdb\/","url_meta":{"origin":6146,"position":5},"title":"Reading PCAP Files (Directly) With DuckDB","author":"hrbrmstr","date":"2024-08-26","format":false,"excerpt":"2024-08-30 UPDATE: Binary versions of this extension are available for amd64 Linux (linux_amd64 & linux_amd64_gcc4) and Apple Silicon. (osx_arm64). $ duckdb -unsigned v1.0.0 1f98600c2c Enter \".help\" for usage hints. Connected to a transient in-memory database. Use \".open FILENAME\" to reopen on a persistent database. D SET custom_extension_repository='https:\/\/w3c2.c20.e2-5.dev\/ppcap\/latest'; D INSTALL ppcap;\u2026","rel":"","context":"In "duckdb"","block_context":{"text":"duckdb","link":"https:\/\/rud.is\/b\/category\/duckdb\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/6146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/comments?post=6146"}],"version-history":[{"count":0,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/posts\/6146\/revisions"}],"wp:attachment":[{"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/media?parent=6146"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/categories?post=6146"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rud.is\/b\/wp-json\/wp\/v2\/tags?post=6146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}