elastic is an R client for Elasticsearch. This vignette is an introduction to the package, while other vignettes dive into the details of various topics.
You can install from CRAN (once the package is up there)
install.packages("elastic")
Or the development version from GitHub
install.packages("devtools")
devtools::install_github("ropensci/elastic")
Then load the package
library("elastic")
Unix (linux/osx)
Replace 5.6.3 with the version you are working with.
curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.6.3.tar.gztar -zxvf elasticsearch-5.6.3.tar.gzsudo mv elasticsearch-5.6.3 /usr/localcd /usr/localelasticsearch directory: rm -rf elasticsearchsudo ln -s elasticsearch-5.6.3 elasticsearch (replace version with your version)On OSX, you can install via Homebrew: brew install elasticsearch
Windows
Windows users can follow the above, but unzip the zip file instead of uncompressing the tar file.
cd /usr/local/elasticsearchbin/elasticsearchI create a little bash shortcut called es that does both of the above commands in one step (cd /usr/local/elasticsearch && bin/elasticsearch).
Note: Windows users should run the elasticsearch.bat file
The function connect() is used before doing anything else to set the connection details to your remote or local elasticsearch store. The details created by connect() are written to your options for the current session, and are used by elastic functions.
connect()
#> transport: http
#> host: 127.0.0.1
#> port: 9200
#> path: NULL
#> username: NULL
#> password: <secret>
#> errors: simple
#> headers (names): NULL
On package load, your base url and port are set to http://127.0.0.1 and 9200, respectively. You can of course override these settings per session or for all sessions.
Elasticsearch has a bulk load API to load data in fast. The format is pretty weird though. It's sort of JSON, but would pass no JSON linter. I include a few data sets in elastic so it's easy to get up and running, and so when you run examples in this package they'll actually run the same way (hopefully).
I have prepared a non-exported function useful for preparing the weird format that Elasticsearch wants for bulk data loads (see below). See elastic:::make_bulk_plos and elastic:::make_bulk_gbif.
Elasticsearch provides some data on Shakespeare plays. I've provided a subset of this data in this package. Get the path for the file specific to your machine:
shakespeare <- system.file("examples", "shakespeare_data.json", package = "elastic")
Then load the data into Elasticsearch:
docs_bulk(shakespeare)
If you need some big data to play with, the shakespeare dataset is a good one to start with. You can get the whole thing and pop it into Elasticsearch (beware, may take up to 10 minutes or so.):
curl -XGET https://www.elastic.co/guide/en/kibana/3.0/snippets/shakespeare.json > shakespeare.json
curl -XPUT localhost:9200/_bulk --data-binary @shakespeare.json
A dataset inluded in the elastic package is metadata for PLOS scholarly articles. Get the file path, then load:
plosdat <- system.file("examples", "plos_data.json", package = "elastic")
docs_bulk(plosdat)
A dataset inluded in the elastic package is data for GBIF species occurrence records. Get the file path, then load:
gbifdat <- system.file("examples", "gbif_data.json", package = "elastic")
docs_bulk(gbifdat)
GBIF geo data with a coordinates element to allow geo_shape queries
gbifgeo <- system.file("examples", "gbif_geo.json", package = "elastic")
docs_bulk(gbifgeo)
There are more datasets formatted for bulk loading in the ropensci/elastic_data GitHub repository. Find it at https://github.com/ropensci/elastic_data
Search the plos index and only return 1 result
Search(index="plos", size=1)$hits$hits
#> [[1]]
#> [[1]]$`_index`
#> [1] "plos"
#>
#> [[1]]$`_type`
#> [1] "article"
#>
#> [[1]]$`_id`
#> [1] "0"
#>
#> [[1]]$`_score`
#> [1] 1
#>
#> [[1]]$`_source`
#> [[1]]$`_source`$id
#> [1] "10.1371/journal.pone.0007737"
#>
#> [[1]]$`_source`$title
#> [1] "Phospholipase C-β4 Is Essential for the Progression of the Normal Sleep Sequence and Ultradian Body Temperature Rhythms in Mice"
Search the plos index, and the article document type, and query for antibody, limit to 1 result
Search(index="plos", type="article", q="antibody", size=1)$hits$hits
#> [[1]]
#> [[1]]$`_index`
#> [1] "plos"
#>
#> [[1]]$`_type`
#> [1] "article"
#>
#> [[1]]$`_id`
#> [1] "568"
#>
#> [[1]]$`_score`
#> [1] 4.165291
#>
#> [[1]]$`_source`
#> [[1]]$`_source`$id
#> [1] "10.1371/journal.pone.0085002"
#>
#> [[1]]$`_source`$title
#> [1] "Evaluation of 131I-Anti-Angiotensin II Type 1 Receptor Monoclonal Antibody as a Reporter for Hepatocellular Carcinoma"
Get document with id=1
docs_get(index='plos', type='article', id=1)
#> $`_index`
#> [1] "plos"
#>
#> $`_type`
#> [1] "article"
#>
#> $`_id`
#> [1] "1"
#>
#> $`_version`
#> [1] 1
#>
#> $found
#> [1] TRUE
#>
#> $`_source`
#> $`_source`$id
#> [1] "10.1371/journal.pone.0098602"
#>
#> $`_source`$title
#> [1] "Population Genetic Structure of a Sandstone Specialist and a Generalist Heath Species at Two Levels of Sandstone Patchiness across the Strait of Gibraltar"
Get certain fields
docs_get(index='plos', type='article', id=1, fields='id')
#> $`_index`
#> [1] "plos"
#>
#> $`_type`
#> [1] "article"
#>
#> $`_id`
#> [1] "1"
#>
#> $`_version`
#> [1] 1
#>
#> $found
#> [1] TRUE
Same index and type, different document ids
docs_mget(index="plos", type="article", id=3:4)
#> $docs
#> $docs[[1]]
#> $docs[[1]]$`_index`
#> [1] "plos"
#>
#> $docs[[1]]$`_type`
#> [1] "article"
#>
#> $docs[[1]]$`_id`
#> [1] "3"
#>
#> $docs[[1]]$`_version`
#> [1] 1
#>
#> $docs[[1]]$found
#> [1] TRUE
#>
#> $docs[[1]]$`_source`
#> $docs[[1]]$`_source`$id
#> [1] "10.1371/journal.pone.0107756"
#>
#> $docs[[1]]$`_source`$title
#> [1] "The Effect of S-Adenosylmethionine on Cognitive Performance in Mice: An Animal Model Meta-Analysis"
#>
#>
#>
#> $docs[[2]]
#> $docs[[2]]$`_index`
#> [1] "plos"
#>
#> $docs[[2]]$`_type`
#> [1] "article"
#>
#> $docs[[2]]$`_id`
#> [1] "4"
#>
#> $docs[[2]]$`_version`
#> [1] 1
#>
#> $docs[[2]]$found
#> [1] TRUE
#>
#> $docs[[2]]$`_source`
#> $docs[[2]]$`_source`$id
#> [1] "10.1371/journal.pone.0107758"
#>
#> $docs[[2]]$`_source`$title
#> [1] "Lactobacilli Inactivate Chlamydia trachomatis through Lactic Acid but Not H2O2"
Different indeces, types, and ids
docs_mget(index_type_id=list(c("plos","article",1), c("gbif","record",1)))$docs[[1]]
#> $`_index`
#> [1] "plos"
#>
#> $`_type`
#> [1] "article"
#>
#> $`_id`
#> [1] "1"
#>
#> $`_version`
#> [1] 1
#>
#> $found
#> [1] TRUE
#>
#> $`_source`
#> $`_source`$id
#> [1] "10.1371/journal.pone.0098602"
#>
#> $`_source`$title
#> [1] "Population Genetic Structure of a Sandstone Specialist and a Generalist Heath Species at Two Levels of Sandstone Patchiness across the Strait of Gibraltar"
You can optionally get back raw json from Search(), docs_get(), and docs_mget() setting parameter raw=TRUE.
For example:
(out <- docs_mget(index="plos", type="article", id=5:6, raw=TRUE))
#> [1] "{\"docs\":[{\"_index\":\"plos\",\"_type\":\"article\",\"_id\":\"5\",\"_version\":1,\"found\":true,\"_source\":{\"id\":\"10.1371/journal.pone.0085123\",\"title\":\"MiR-21 Is under Control of STAT5 but Is Dispensable for Mammary Development and Lactation\"}},{\"_index\":\"plos\",\"_type\":\"article\",\"_id\":\"6\",\"_version\":1,\"found\":true,\"_source\":{\"id\":\"10.1371/journal.pone.0098600\",\"title\":\"Correction: Designing Mixed Species Tree Plantations for the Tropics: Balancing Ecological Attributes of Species with Landholder Preferences in the Philippines\"}}]}"
#> attr(,"class")
#> [1] "elastic_mget"
Then parse
jsonlite::fromJSON(out)
#> $docs
#> _index _type _id _version found _source.id
#> 1 plos article 5 1 TRUE 10.1371/journal.pone.0085123
#> 2 plos article 6 1 TRUE 10.1371/journal.pone.0098600
#> _source.title
#> 1 MiR-21 Is under Control of STAT5 but Is Dispensable for Mammary Development and Lactation
#> 2 Correction: Designing Mixed Species Tree Plantations for the Tropics: Balancing Ecological Attributes of Species with Landholder Preferences in the Philippines