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Description

The `rsolr` package is an idiomatic R interface to Solr based on deferred evaluation. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.

Features

Example using data from R

This is inspired by some manipulations in the dplyr vignette.

Load the New York City 2013 flight data and upload to Solr:

library(nycflights13)
schema <- deriveSolrSchema(flights)
solr <- rsolr:::TestSolr(schema)
sr <- SolrFrame(solr$uri)
sr[] <- flights

Filtering:

subset(sr, month == 1 & day == 1)
head(sr, 10L)

Sorting:

sort(sr, by = ~ year + month + day)

Select fields:

subset(sr, select=c(year, month, day))
sr[c("year", "month", "day")]
sr[c("arr_*", "dep_*")] # Solr globs

Transform:

sr2 <- transform(sr,
                 gain = arr_delay - dep_delay,
                 speed = distance / air_time * 60)
sr2[c("gain", "speed")]

Aggregate:

unique(sr["tailnum"])
aggregate(~ tailnum, sr,
          count = TRUE,
          dist = mean(distance, na.rm=TRUE),
          delay = mean(arr_delay, na.rm=TRUE))

Example using existing Solr core

Construct a SolrFrame using the URL to the existing core:

sr <- SolrFrame("http://my.host.com/solr/mycore")

Convert the SolrFrame to a data.frame, typically after some filtering or aggregation:

df <- as.data.frame(sr)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.