Perform and Manage 'Amazon' 'Athena' Queries
This is a 'reticulated' wrapper for the 'Python' 'boto3' 'AWS' 'Athena' client library https://boto3.readthedocs.io/en/latest/reference/services/athena.html. It requires 'Python' version 3.5+ and an 'AWS' account. Tools are also provided to execute 'dplyr' chains asynchronously.
This package requires Python >= 3.5 to be available and the boto3 Python module. The package author highly recommends setting RETICULATE_PYTHON=/usr/local/bin/python3 in your ~/.Renviron file to ensure R + reticulate will use the proper python version.
The following functions are implemented:
create_named_query: Create a named query.delete_named_query: Delete a named query.get_named_query: Get Query Executionget_named_queries: Get Query Execution (batch/multiple)get_query_execution: Get Query Executionget_query_executions: Get Query Executions (batch/multiple)get_query_results: Get Query Resultslist_named_queries: List Named Querieslist_query_executions: List Query Executionsstart_query_execution: Start Query Executionstop_query_execution: Stop Query Executioncollect_async: Collect Amazon Athenadplyrquery results asynchronously
devtools::install_github("hrbrmstr/roto.athena")
# OR
devtools::install_git("git://gitlab.com/hrbrmstr/roto.athena")library(roto.athena)
library(tidyverse)
# current verison
packageVersion("roto.athena")
## [1] '0.1.0'# see recent queries
x <- list_query_executions(profile = "personal")
head(x$QueryExecutionIds)
## [1] "25672eb3-418a-496d-b9c0-afe93b774009" "719dd084-f940-4cb4-931e-35688575bc6e" "0e6f6e17-4432-4332-9f0e-ee85ec70f1a0"
## [4] "92768c3f-eabc-4c72-b61e-244ee72e8810" "9b02fd64-3c1b-404c-bba0-a23d62ec28d0" "1ee48b6a-735b-4f66-b526-093047d07e78"
# get last 5 query executions
y <- get_query_executions(x$QueryExecutionIds[1:5], profile = "personal")
# only look at the ones that succeeded
filter(y$QueryExecutions, state == "SUCCEEDED")
## # A tibble: 5 x 12
## query_execution_… query output_location encryption_conf… kms_key database state state_change_re… submitted completed
## <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 92768c3f-eabc-4c… SHOW … s3://aws-athen… <NA> <NA> sampledb SUCC… <NA> 2018-07-… 2018-07-…
## 2 0e6f6e17-4432-43… SHOW … s3://aws-athen… <NA> <NA> sampledb SUCC… <NA> 2018-07-… 2018-07-…
## 3 25672eb3-418a-49… "SELE… s3://aws-athen… <NA> <NA> sampledb SUCC… <NA> 2018-07-… 2018-07-…
## 4 719dd084-f940-4c… "SELE… s3://aws-athen… <NA> <NA> sampledb SUCC… <NA> 2018-07-… 2018-07-…
## 5 9b02fd64-3c1b-40… SHOW … s3://aws-athen… <NA> <NA> sampledb SUCC… <NA> 2018-07-… 2018-07-…
## # ... with 2 more variables: execution_time_ms <int>, bytes_scanned <int>
# fire off another one!
start_query_execution(
query = "SELECT * FROM elb_logs LIMIT 100",
database = "sampledb",
output_location = "s3://aws-athena-query-results-redacted",
profile = "personal"
) -> sqe# see the status
get_query_execution(sqe, profile = "personal") %>%
glimpse()
## Observations: 1
## Variables: 10
## $ query_execution_id <chr> "0b6d4b0c-a2e8-4896-aa78-679a5ff2ba7d"
## $ query <chr> "SELECT * FROM elb_logs LIMIT 100"
## $ output_location <chr> "s3://aws-athena-query-results-redacted/0b6d4b0c-a2e8-4896-aa78-679a5ff2ba7d.csv"
## $ database <chr> "sampledb"
## $ state <chr> "SUCCEEDED"
## $ state_change_reason <chr> NA
## $ submitted <chr> "2018-07-20 09:43:56.993000-04:00"
## $ completed <chr> "2018-07-20 09:43:58.844000-04:00"
## $ execution_time_ms <int> 1610
## $ bytes_scanned <int> 288722
# get the results
res <- get_query_results(sqe, profile = "personal")
res
## # A tibble: 100 x 16
## timestamp elbname requestip requestport backendip backendport requestprocessi… backendprocessi… clientresponset…
## <chr> <chr> <chr> <int> <chr> <int> <dbl> <dbl> <dbl>
## 1 2014-09-26… lb-demo 245.74.18… 27026 253.8.255… 8888 0.0000780 0.0365 0.0000470
## 2 2014-09-26… lb-demo 249.90.14… 20670 253.25.5.… 8888 0.0000940 0.0213 0.0000480
## 3 2014-09-26… lb-demo 251.164.1… 27026 248.118.6… 8888 0.000104 0.0391 0.0000550
## 4 2014-09-26… lb-demo 245.163.9… 20670 253.25.5.… 443 0.000114 0.0532 0.0000660
## 5 2014-09-26… lb-demo 252.248.6… 27026 250.238.2… 8888 0.0000890 0.0401 0.0000450
## 6 2014-09-26… lb-demo 252.222.3… 20670 249.90.14… 8888 0.0000910 0.0386 0.0000410
## 7 2014-09-26… lb-demo 251.138.2… 27026 253.25.5.… 8899 0.0000920 0.0485 0.0000690
## 8 2014-09-26… lb-demo 243.35.14… 20670 242.76.95… 8888 0.000115 0.0409 0.0000710
## 9 2014-09-26… lb-demo 251.130.1… 27026 248.81.19… 80 0.0000900 0.0405 0.0000550
## 10 2014-09-26… lb-demo 251.130.1… 20670 251.214.2… 8888 0.000104 0.0403 0.0000520
## # ... with 90 more rows, and 7 more variables: elbresponsecode <chr>, backendresponsecode <chr>, receivedbytes <S3:
## # integer64>, sentbytes <S3: integer64>, requestverb <chr>, url <chr>, protocol <chr>library(odbc)
library(DBI)
DBI::dbConnect(
odbc::odbc(),
driver = "/Library/simba/athenaodbc/lib/libathenaodbc_sbu.dylib",
Schema = "sampledb",
AwsRegion = "us-east-1",
AwsProfile = "personal",
AuthenticationType = "IAM Profile",
S3OutputLocation = "s3://aws-athena-query-results-redacted"
) -> con
elb_logs <- tbl(con, "elb_logs")
mutate(elb_logs, tsday = substr(timestamp, 1, 10)) %>%
filter(tsday == "2014-09-29") %>%
select(requestip, requestprocessingtime) %>%
collect_async(
database = "sampledb",
output_location = "s3://aws-athena-query-results-redacted",
profile_name = "personal"
) -> idget_query_execution(id, profile = "personal") %>%
glimpse()
## Observations: 1
## Variables: 10
## $ query_execution_id <chr> "2c54e526-8dda-4250-bda0-35853603eda9"
## $ query <chr> "SELECT \"requestip\", \"requestprocessingtime\"\nFROM (SELECT *\nFROM (SELECT \"timest...
## $ output_location <chr> "s3://aws-athena-query-results-redacted/2c54e526-8dda-4250-bda0-35853603eda9.csv"
## $ database <chr> "sampledb"
## $ state <chr> "SUCCEEDED"
## $ state_change_reason <chr> NA
## $ submitted <chr> "2018-07-20 09:44:03.982000-04:00"
## $ completed <chr> "2018-07-20 09:44:05.239000-04:00"
## $ execution_time_ms <int> 1147
## $ bytes_scanned <int> 846383
get_query_results(id, profile = "personal")
## # A tibble: 774 x 2
## requestip requestprocessingtime
## <chr> <dbl>
## 1 240.193.27.4 0.0000730
## 2 240.154.14.237 0.0000920
## 3 245.155.219.217 0.000120
## 4 255.100.99.136 0.000104
## 5 246.62.216.54 0.0000860
## 6 254.103.46.154 0.0000600
## 7 240.147.146.84 0.000101
## 8 251.69.22.230 0.0000720
## 9 242.190.162.43 0.000106
## 10 248.228.92.236 0.000115
## # ... with 764 more rows
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