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README.md
[
](https://codecov.io/gh/hrbrmstr/metis
metis
Access and Query Amazon Athena via DBI/JDBC
Description
In Greek mythology, Metis was Athena’s “helper” so…
Methods are provided to connect to ‘Amazon’ ‘Athena’, lookup schemas/tables, perform queries and retrieve query results via the included JDBC DBI driver.
What’s Inside The Tin?
The following functions are implemented:
Easy-interface connection helper:
athena_connect
Simplified Athena JDBC connection helper
Custom JDBC Classes:
Athena
: AthenaJDBC (make a new Athena con obj)AthenaConnection-class
: AthenaJDBCAthenaDriver-class
: AthenaJDBCAthenaResult-class
: AthenaJDBC
Custom JDBC Class Methods:
dbConnect-method
dbExistsTable-method
dbGetQuery-method
dbListFields-method
dbListTables-method
dbReadTable-method
dbSendQuery-method
Pulled in from other cloudyr
pkgs:
read_credentials
: Use Credentials from .aws/credentials Fileuse_credentials
: Use Credentials from .aws/credentials File
Installation
devtools::install_git("https://git.sr.ht/~hrbrmstr/metis")
# OR
devtools::install_gitlab("hrbrmstr/metis")
# OR
devtools::install_github("hrbrmstr/metis")
Usage
library(metis)
# current verison
packageVersion("metis")
## [1] '0.3.0'
library(rJava)
library(RJDBC)
library(metis)
library(magrittr) # for piping b/c I'm addicted
dbConnect(
metis::Athena(),
Schema = "sampledb",
AwsCredentialsProviderClass = "com.simba.athena.amazonaws.auth.PropertiesFileCredentialsProvider",
AwsCredentialsProviderArguments = path.expand("~/.aws/athenaCredentials.props")
) -> con
dbListTables(con, schema="sampledb")
## [1] "elb_logs"
dbExistsTable(con, "elb_logs", schema="sampledb")
## [1] TRUE
dbListFields(con, "elb_logs", "sampledb")
## [1] "timestamp" "elbname" "requestip" "requestport"
## [5] "backendip" "backendport" "requestprocessingtime" "backendprocessingtime"
## [9] "clientresponsetime" "elbresponsecode" "backendresponsecode" "receivedbytes"
## [13] "sentbytes" "requestverb" "url" "protocol"
dbGetQuery(con, "SELECT * FROM sampledb.elb_logs LIMIT 10") %>%
dplyr::glimpse()
## Observations: 10
## Variables: 16
## $ timestamp <chr> "2014-09-27T00:00:25.424956Z", "2014-09-27T00:00:56.439218Z", "2014-09-27T00:01:27.4417…
## $ elbname <chr> "lb-demo", "lb-demo", "lb-demo", "lb-demo", "lb-demo", "lb-demo", "lb-demo", "lb-demo",…
## $ requestip <chr> "241.230.198.83", "252.26.60.51", "250.244.20.109", "247.59.58.167", "254.64.224.54", "…
## $ requestport <int> 27026, 27026, 27026, 27026, 27026, 27026, 27026, 27026, 27026, 27026
## $ backendip <chr> "251.192.40.76", "249.89.116.3", "251.111.156.171", "251.139.91.156", "251.111.156.171"…
## $ backendport <int> 443, 8888, 8888, 8888, 8000, 8888, 8888, 8888, 8888, 8888
## $ requestprocessingtime <dbl> 9.1e-05, 9.4e-05, 8.4e-05, 9.7e-05, 9.1e-05, 9.3e-05, 9.4e-05, 8.3e-05, 9.0e-05, 9.0e-05
## $ backendprocessingtime <dbl> 0.046598, 0.038973, 0.047054, 0.039845, 0.061461, 0.037791, 0.047035, 0.048792, 0.04572…
## $ clientresponsetime <dbl> 4.9e-05, 4.7e-05, 4.9e-05, 4.9e-05, 4.0e-05, 7.7e-05, 7.5e-05, 7.3e-05, 4.0e-05, 6.7e-05
## $ elbresponsecode <chr> "200", "200", "200", "200", "200", "200", "200", "200", "200", "200"
## $ backendresponsecode <chr> "200", "200", "200", "200", "200", "400", "400", "200", "200", "200"
## $ receivedbytes <S3: integer64> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
## $ sentbytes <S3: integer64> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
## $ requestverb <chr> "GET", "GET", "GET", "GET", "GET", "GET", "GET", "GET", "GET", "GET"
## $ url <chr> "http://www.abcxyz.com:80/jobbrowser/?format=json&state=running&user=20g578y", "http://…
## $ protocol <chr> "HTTP/1.1", "HTTP/1.1", "HTTP/1.1", "HTTP/1.1", "HTTP/1.1", "HTTP/1.1", "HTTP/1.1", "HT…
Check types
dbGetQuery(con, "
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 arr1,
ARRAY['1', '2, 3', '4'] AS arr2,
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
") %>%
dplyr::glimpse()
## Observations: 1
## Variables: 13
## $ achar <chr> "chr "
## $ avarchr <chr> "varchr"
## $ tsday <date> 2014-09-29
## $ justadbl <dbl> 100.1
## $ asmallint <int> 127
## $ justanint <int> 100
## $ abigint <S3: integer64> 100000000000000000
## $ is_get <lgl> TRUE
## $ arr1 <chr> "1, 2, 3"
## $ arr2 <chr> "1, 2, 3, 4"
## $ mp <chr> "{bar=2, foo=1}"
## $ rw <chr> "{x=1, y=2.0}"
## $ js <chr> "\"{\\\"a\\\":1}\""
cloc::cloc_pkg_md()
Lang | # Files | (%) | LoC | (%) | Blank lines | (%) | # Lines | (%) |
---|---|---|---|---|---|---|---|---|
R | 8 | 0.89 | 250 | 0.83 | 83 | 0.72 | 194 | 0.79 |
Rmd | 1 | 0.11 | 50 | 0.17 | 32 | 0.28 | 53 | 0.21 |
Code of Conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.