#elasticsearch.R ##Features (WIP) ###Document APIs
- Index
- Get
- Delete
- Update
- Multi-get
- Bulk
###Search APIs
- Search
###Indices APIs
- Create index
- Delete index
- Indices Exists
- Open / Close Index API
##Installation You will need the devtools package in order to install this package
install.packages("devtools")
library(devtools)
install_github("tomesch/elasticsearch")
library(elasticsearch)
##Examples For the following series of examples we will be using a simplifed version of the Unicode Character Database. The data is formated so that it can be directly indexed in Elasticsearch via a bulk query. You can download the database here.
###Importing the data
# Read the database
requests = paste(readLines("/Users/tom/ucd.json"), collapse="\n")
# Create the client
es = ElasticsearchClient("http://localhost:9200")
# Index the data
bulk(es, requests)
###CRUD operations
# Index a new document
index(es, "ucd", "characters", 1, body='{"cp": "9999", "na": "My new character", "age": "23", "blk": "ASCII"}')
# Get it
get(es, "ucd", "characters", 1)
# Update it
update(es, "ucd", "characters", 1, '{"doc" : { "age" : 24}}')
# Delete it
delete(es, "ucd", "characters", 1)
###Search
# Search a character
search(es, body='{"query": {"match": {"na": "pile of poo"}}}')
# Run an aggregation
res = search(es, body='{"aggs" : {"blocks" : {"terms" : { "field" : "blk", "size": 0}}}}')
# And plot it
barplot(res$aggregations$blocks$buckets$doc_count)