In hrbrmstr/metis-tidy: Access and Query Amazon Athena via the Tidyverse

knitr::opts_chunk$set(
  echo = TRUE,
  message = FALSE,
  warning = FALSE,
  fig.retina = 2
)

Sys.setenv(
  AWS_S3_STAGING_DIR = "s3://aws-athena-query-results-569593279821-us-east-1"
)

options(width=120)

[](https://codecov.io/gh/hrbrmstr/metis-tidy

metis.tidy

Access and Query Amazon Athena via the Tidyverse

Description

Methods are provided to use the 'metis' JDBC/DBI interface via the Tidyverse (e.g. 'dbplyr'/'dplyr' idioms).

What's Inside The Tin?

Lightweight helpers to make it easier to filter and mutate plus type support for Athena BIGINT (64-bit integers).

Installation

devtools::install_git("https://git.sr.ht/~hrbrmstr/metis-tidy")
# OR
devtools::install_gitlab("hrbrmstr/metis-tidy")
# OR
devtools::install_github("hrbrmstr/metis-tidy")

Usage

library(metis.tidy)

# current verison
packageVersion("metis.tidy")

Basic Setup (using an alternate provider)

library(metis.tidy)
library(tidyverse)

metis::dbConnect(
  metis::Athena(),
  Schema = "sampledb",
  AwsCredentialsProviderClass = "com.simba.athena.amazonaws.auth.PropertiesFileCredentialsProvider",
  AwsCredentialsProviderArguments = path.expand("~/.aws/athenaCredentials.props")
) -> con

elb_logs <- tbl(con, "elb_logs")

glimpse(elb_logs)

Using custom Athena functions

filter(elb_logs, elbresponsecode == "200") %>% 
  mutate(
    tsday = as.Date(substring(timestamp, 1L, 10L)),
    host = url_extract_host(url),
    proto_version = regexp_extract(protocol, "([[:digit:]\\.]+)"),
  ) %>% 
  select(tsday, host, receivedbytes, requestprocessingtime, proto_version) %>% 
  glimpse()

All the types work. Some are useful.

tbl(con, sql("
SELECT
  CAST('chr' AS CHAR(4)) achar,
  CAST('varchr' AS VARCHAR) avarchr,
  CAST(SUBSTR(timestamp, 1, 10) AS DATE) AS tsday,
  CAST(100.1 AS DOUBLE) AS justadbl,
  CAST(127 AS TINYINT) AS asmallint,
  CAST(100 AS INTEGER) AS justanint,
  CAST(100000000000000000 AS BIGINT) AS abigint,
  CAST(('GET' = 'GET') AS BOOLEAN) AS is_get,
  ARRAY[1, 2, 3] AS arr,
  ARRAY['1', '2, 3', '4'] AS arr,
  MAP(ARRAY['foo', 'bar'], ARRAY[1, 2]) AS mp,
  CAST(ROW(1, 2.0) AS ROW(x BIGINT, y DOUBLE)) AS rw,
  CAST('{\"a\":1}' AS JSON) js
FROM elb_logs
LIMIT 1
")) %>% 
  glimpse()