RAthena 2.6.1

Bug Fix:

Prevent assuming role from AWS_ROLE_ARN. This caused confusing when connecting through web identity (#177)
Support dbplyr::in_catalog when working with dplyr::tbl (#178)

RAthena 2.6.0

Bug Fix:

Delay Python to R conversion to prevent 64 bit integer mapping to R’s base 32 bit integer (#168) causing the follow bug in Data Scan info message. Thanks to @juhoautio for identifying issue.

INFO: (Data scanned: -43839744 Bytes)

Feature:

Add clear_s3_resource parameter to RAthena_options to prevent AWS Athena output AWS S3 resource being cleared up by dbClearResult (#168). Thanks to @juhoautio for the request.
Support extra boto3 parameters for boto3.session.Session class and client method (#169)
Support endpoint_override parameter allow default endpoints for each service to be overridden accordingly (#169). Thanks to @aoyh for the request and checking the package in development.

RAthena 2.5.1

Bug Fix:

Fixed unit test helper function test_data to use size parameter explicitly.

RAthena 2.5.0

Feature:

Allow all information messages to be turned off (noctua # 178).
Allow RAthena_options to change 1 parameter at a time without affecting other pre-configured settings
Return warning message for deprecated retry_quiet parameter in RAthena_options function.

RAthena 2.4.0

Feature:

Add support dbplyr 2.0.0 backend API.
Add method to set unload on a package level to allow dplyr to benefit from AWS Athena unload methods (noctua # 174).

Bug Fix:

Ensure dbGetQuery, dbExecute, dbSendQuery, dbSendStatement work on older versions of R (noctua # 170). Thanks to @tyner for identifying issue.
Caching would fail when statement wasn’t a character (noctua # 171). Thanks to @ramnathv for identifying issue.

RAthena 2.3.0

Feature:

Add support to AWS Athena UNLOAD (noctua: # 160). This is to take advantage of read/write speed parquet has to offer.

import awswrangler as wr
import getpass

bucket = getpass.getpass()
path = f"s3://{bucket}/data/"

if "awswrangler_test" not in wr.catalog.databases().values:
    wr.catalog.create_database("awswrangler_test")
    
cols = ["id", "dt", "element", "value", "m_flag", "q_flag", "s_flag", "obs_time"]

df = wr.s3.read_csv(
    path="s3://noaa-ghcn-pds/csv/189",
    names=cols,
    parse_dates=["dt", "obs_time"])  # Read 10 files from the 1890 decade (~1GB)
    
wr.s3.to_parquet(
    df=df,
    path=path,
    dataset=True,
    mode="overwrite",
    database="awswrangler_test",
    table="noaa"
);

wr.catalog.table(database="awswrangler_test", table="noaa")

library(DBI)
con <- dbConnect(RAthena::athena())

# Query ran using CSV output
system.time({
  df = dbGetQuery(con, "SELECT * FROM awswrangler_test.noaa")
})
# Info: (Data scanned: 80.88 MB)
#    user  system elapsed
#  57.004   8.430 160.567 

RAthena::RAthena_options(cache_size = 1)

# Query ran using UNLOAD Parquet output
system.time({
  df = dbGetQuery(con, "SELECT * FROM awswrangler_test.noaa", unload = T)
})

# Info: (Data scanned: 80.88 MB)
#    user  system elapsed 
#  21.622   2.350  39.232 
# Query ran using cache

system.time({
  df = dbGetQuery(con, "SELECT * FROM awswrangler_test.noaa", unload = T)
})
# Info: (Data scanned: 80.88 MB)
#    user  system elapsed 
#  13.738   1.886  11.029

RAthena 2.2.0

Bug Fix:

sql_translate_env correctly translates R functions quantile and median to AWS Athena equivalents (noctua # 153). Thanks to @ellmanj for spotting issue.

Feature:

Support AWS Athena timestamp with time zone data type.
Properly support data type list when converting data to AWS Athena SQL format.

library(data.table)
library(DBI)

x = 5

dt = data.table(
  var1 = sample(LETTERS, size = x, T),
  var2 = rep(list(list("var3"= 1:3, "var4" = list("var5"= letters[1:5]))), x)
)

con <- dbConnect(RAthena::athena())

#> Version: 2.2.0

sqlData(con, dt)

# Registered S3 method overwritten by 'jsonify':
#   method     from    
#   print.json jsonlite
# Info: Special characters "\t" has been converted to " " to help with Athena reading file format tsv
#    var1                                                   var2
# 1:    1 {"var3":[1,2,3],"var4":{"var5":["a","b","c","d","e"]}}
# 2:    2 {"var3":[1,2,3],"var4":{"var5":["a","b","c","d","e"]}}
# 3:    3 {"var3":[1,2,3],"var4":{"var5":["a","b","c","d","e"]}}
# 4:    4 {"var3":[1,2,3],"var4":{"var5":["a","b","c","d","e"]}}
# 5:    5 {"var3":[1,2,3],"var4":{"var5":["a","b","c","d","e"]}}

#> Version: 2.1.0

sqlData(con, dt)

# Info: Special characters "\t" has been converted to " " to help with Athena reading file format tsv
#    var1                                        var2
# 1:    1 1:3|list(var5 = c("a", "b", "c", "d", "e"))
# 2:    2 1:3|list(var5 = c("a", "b", "c", "d", "e"))
# 3:    3 1:3|list(var5 = c("a", "b", "c", "d", "e"))
# 4:    4 1:3|list(var5 = c("a", "b", "c", "d", "e"))
# 5:    5 1:3|list(var5 = c("a", "b", "c", "d", "e"))

v-2.2.0 now converts lists into json lines format so that AWS Athena can parse with sql array/mapping/json functions. Small down side a s3 method conflict occurs when jsonify is called to convert lists into json lines. jsonify was choose in favor to jsonlite due to the performance improvements (noctua # 156).

RAthena 2.1.0

Bug Fix:

dbIsValid wrongly stated connection is valid for result class when connection class was disconnected.
sql_translate_env.paste broke with latest version of dbplyr. New method is compatible with dbplyr>=1.4.3 (noctua # 149).

Feature:

sql_translate_env: add support for stringr/lubridate style functions, similar to Postgres backend.
dbConnect add timezone parameter so that time zone between R and AWS Athena is consistent (noctua # 149).

RAthena 2.0.1

Bug Fix:

Fix issue of keyboard interrupt failing to raise interrupt error.

RAthena 2.0.0

API Change

AthenaConnection class: ptr and info slots changed from list to environment with in AthenaConnect class. Allows class to be updated by reference. Simplifies notation when viewing class from RStudio environment tab.
AthenaResult class: info slot changed from list to environment. Allows class to be updated by reference.

By utilising environments for AthenaConnection and AthenaResult, all AthenaResult classes created from AthenaConnection will point to the same ptr and info environments for it’s connection. Previously ptr and info would make a copy. This means if it was modified it would not affect the child or parent class for example:

# Old Method
library(DBI)
con <- dbConnect(RAthena::athena(),
                 rstudio_conn_tab = F)

res <- dbExecute(con, "select 'helloworld'")

# modifying parent class to influence child
con@info$made_up <- "helloworld"

# nothing happened
res@connection@info$made_up
# > NULL

# modifying child class to influence parent
res@connection@info$made_up <- "oh no!"

# nothing happened
con@info$made_up
# > "helloworld"

# New Method
library(DBI)
con <- dbConnect(RAthena::athena(),
                 rstudio_conn_tab = F)

res <- dbExecute(con, "select 'helloworld'")

# modifying parent class to influence child
con@info$made_up <- "helloworld"

# picked up change
res@connection@info$made_up
# > "helloworld"

# modifying child class to influence parent
res@connection@info$made_up <- "oh no!"

# picked up change
con@info$made_up
# > "oh no!"

New Feature

Added support to AWS Athena data types [array, row, map, json, binary, ipaddress] (noctua: # 135). Conversion types can be changed through dbConnect and RAthena_options.

library(DBI)
library(RAthena)

# default conversion methods
con <- dbConnect(RAthena::athena())

# change json conversion method
RAthena_options(json = "character")
RAthena:::athena_option_env$json
# [1] "character"

# change json conversion to custom method
RAthena_options(json = jsonify::from_json)

RAthena:::athena_option_env$json
# function (json, simplify = TRUE, fill_na = FALSE, buffer_size = 1024) 
# {
#   json_to_r(json, simplify, fill_na, buffer_size)
# }
# <bytecode: 0x7f823b9f6830>
#   <environment: namespace:jsonify>

# change bigint conversion without affecting custom json conversion methods
RAthena_options(bigint = "numeric")

RAthena:::athena_option_env$json
# function (json, simplify = TRUE, fill_na = FALSE, buffer_size = 1024) 
# {
#   json_to_r(json, simplify, fill_na, buffer_size)
# }
# <bytecode: 0x7f823b9f6830>
#   <environment: namespace:jsonify>
RAthena:::athena_option_env$bigint
# [1] "numeric"

# change binary conversion without affect, bigint or json methods
RAthena_options(binary = "character")

RAthena:::athena_option_env$json
# function (json, simplify = TRUE, fill_na = FALSE, buffer_size = 1024) 
# {
#   json_to_r(json, simplify, fill_na, buffer_size)
# }
# <bytecode: 0x7f823b9f6830>
#   <environment: namespace:jsonify>
RAthena:::athena_option_env$bigint
# [1] "numeric"
RAthena:::athena_option_env$binary
# [1] "character"

# no conversion for json objects
con2 <- dbConnect(RAthena::athena(), json = "character")
# use custom json parser
con <- dbConnect(RAthena::athena(), json = jsonify::from_json)

Allow users to turn off RStudio Connection Tab when working in RStudio (noctua: # 136). This can be done through parameter rstudio_conn_tab within dbConnect.

Bug Fix:

AWS Athena uses float data type for the DDL only, RAthena was wrongly parsing float data type back to R. Instead AWS Athena uses data type real in SQL functions like select cast https://docs.aws.amazon.com/athena/latest/ug/data-types.html. RAthena now correctly parses real to R’s data type double (noctua: # 133)
Iterate through each token AWS returns to get all results from AWS Glue catalogue (noctua: # 137)

RAthena 1.12.0

New Feature

Added optional formatting to dbGetPartition. This simply tidies up the default AWS Athena partition format.

library(DBI)
library(RAthena)

con <- dbConnect(athena())

dbGetPartition(con, "test_df2", .format = T)

# Info: (Data scanned: 0 Bytes)
#    year month day
# 1: 2020    11  17

dbGetPartition(con, "test_df2")

# Info: (Data scanned: 0 Bytes)
#                    partition
# 1: year=2020/month=11/day=17

Support different formats for returning bigint, this is to align with other DBI interfaces i.e. RPostgres. Now bigint can be return in the possible formats: [“integer64”, “integer”, “numeric”, “character”]

library(DBI)

con <- dbConnect(RAthena::athena(), bigint = "numeric")

When switching between the different file parsers the bigint to be represented according to the file parser i.e. data.table: “integer64” -> vroom: “I”.

Bug Fix:

dbRemoveTable: Check if key has “.” or ends with “/” before adding “/” to the end (noctua: # 125)
Added uuid minimum version to fix issue (noctua: # 128)

Documentation:

Added note to dbRemoveTable doc string around aws athena table Location in Amazon S3.

RAthena 1.11.1

Note:

Added package checks to unit tests when testing a suggested dependency. This is to fix “CRAN Package Check Results for Package RAthena” for operating system “r-patched-solaris-x86”. Error message:

Error: write_parquet requires the arrow package, please install it first and try again

RAthena 1.11.0

New Feature

Move sql_escape_date into dplyr_integration.R backend (#121). Thanks to @OssiLehtinen for developing Athena date translation.
Allow RAthena to append to a static AWS s3 location using uuid

Bug Fix

parquet file.types now use parameter use_deprecated_int96_timestamps set to TRUE. This puts POSIXct data type in to java.sql.Timestamp compatible format, such as yyyy-MM-dd HH:mm:ss[.f...]. Thanks to Christian N Wolz for highlight this issue.
s3_upload_location simplified how s3 location is built. Now s3.location parameter isn’t affected and instead only additional components e.g. name, schema and partition.
dbplyr v-2.0.0 function in_schema now wraps strings in quotes, this breaks db_query_fields.AthenaConnection. Now db_query_fields.AthenaConnection removes any quotation from the string so that it can search AWS GLUE for table metadata. (noctua: # 117)

RAthena 1.10.1

Bug Fix

Do not abort if a glue::get_tables api call fails (e.g., due to missing permissions to a specific database or an orphaned Lake Formation resource link) when retrieving a list of database tables with dbListTables, dbGetTables or in Rstudio’s Connections pane. Thanks to @OssiLehtinen creating solution (noctua: # 106)
Allowed cache_size to equal 100

RAthena 1.10.0

New Feature

RAthena now supports Keyboard Interrupt and will stop AWS Athena running the query when the query has been interrupted. To keep the functionality of AWS Athena running when R has been interrupt a new parameter has been added to dbConnect, keyboard_interrupt. Example:

# Stop AWS Athena when R has been interrupted:

con <- dbConnect(RAthena::athena())

# Let AWS Athena keep running when R has been interrupted:

con <- dbConnect(RAthena::athena(),
                 keyboard_interrupt = F)

RAthena 1.9.1

Minor Change

Fixed issue where RAthena would return a data.frame for utility SQL queries regardless of backend file parser. This is due to AWS Athena outputting SQL UTILITY queries as a text file that required to be read in line by line. Now RAthena will return the correct data format based on file parser set in RAthena_options for example: RAthena_options("vroom") will return tibbles.

Documentation:

Added documentation to highlight behaviour dbClearResult when user doesn’t have permission to delete AWS S3 objects (noctua: # 96)

RAthena 1.9.0

New Feature

functions that collect or push to AWS S3 now have a retry capability. Meaning if API call fails then the call is retried (noctua: # 79)
RAthena_options contains 2 new parameters to control how RAthena handles retries.
dbFetch is able to return data from AWS Athena in chunk. This has been achieved by passing NextToken to AthenaResult s4 class. This method won’t be as fast n = -1 as each chunk will have to be process into data frame format.

library(DBI)
con <- dbConnect(RAthena::athena())
res <- dbExecute(con, "select * from some_big_table limit 10000")
dbFetch(res, 5000)

When creating/appending partitions to a table, dbWriteTable opts to use alter table instead of standard msck repair table. This is to improve performance when appending to tables with high number of existing partitions.
dbWriteTable now allows json to be appended to json ddls created with the Openx-JsonSerDe library.
dbConvertTable brings dplyr::compute functionality to base package, allowing RAthena to use the power of AWS Athena to convert tables and queries to more efficient file formats in AWS S3 (#37).
Extended dplyr::compute to give same functionality of dbConvertTable
The error message for python’s boto3 not being detected has been updated. This is due to several users not sure how to get RAthena set-up.

stop("Boto3 is not detected please install boto3 using either: `pip install boto3 numpy` in terminal or `install_boto()`.",
     "\nIf this doesn't work please set the python you are using with `reticulate::use_python()` or `reticulate::use_condaenv()`",
     call. = FALSE)

Added region_name check before making a connection to AWS Athena (#110)

Bug Fix

dbWriteTable would throw throttling error every now and again, retry_api_call as been built to handle the parsing of data between R and AWS S3.
dbWriteTable did not clear down all metadata when uploading to AWS Athena

Documentation

dbWriteTable added support ddl structures for user who have created ddl’s outside of RAthena
added vignette around how to use RAthena retry functionality
Moved all examples requiring credentials to \dontrun (#108)

RAthena 1.8.0

New Feature

Inspired by pyathena, RAthena_options now has a new parameter cache_size. This implements local caching in R environments instead of using AWS list_query_executions. This is down to dbClearResult clearing S3’s Athena output when caching isn’t disabled
RAthena_options now has clear_cache parameter to clear down all cached data.
dbRemoveTable now utilise AWS Glue to remove tables from AWS Glue catalogue. This has a performance enhancement:

library(DBI)

con = dbConnect(RAthena::athena())

# upload iris dataframe for removal test
dbWriteTable(con, "iris2", iris)

# Athena method
system.time(dbRemoveTable(con, "iris2", confirm = T))
# user  system elapsed 
# 0.131   0.037   2.404 

# upload iris dataframe for removal test
dbWriteTable(con, "iris2", iris)

# Glue method
system.time(dbRemoveTable(con, "iris2", confirm = T))
# user  system elapsed 
# 0.065   0.009   1.303

dbWriteTable now supports uploading json lines (http://jsonlines.org/) format up to AWS Athena (#88).

library(DBI)

con = dbConnect(RAthena::athena())

dbWriteTable(con, "iris2", iris, file.type = "json")

dbGetQuery(con, "select * from iris2")

Bug Fix

dbWriteTable appending to existing table compress file type was incorrectly return.
install_boto added numpy to RAthena environment install as reticulate appears to favour environments with numpy (https://github.com/rstudio/reticulate/issues/216)
Rstudio connection tab comes into an issue when Glue Table isn’t stored correctly (#92)

Documentation

Added supported environmental variable AWS_REGION into dbConnect
Vignettes added:
- AWS Athena Query Cache
- AWS S3 backend
- Changing Backend File Parser
- Getting Started

Unit tests:

Increase coverage to + 80%

RAthena 1.7.1

Bug Fix

Dependency data.table now restricted to (>=1.12.4) due to file compression being added to fwrite (>=1.12.4) https://github.com/Rdatatable/data.table/blob/master/NEWS.md
Thanks to @OssiLehtinen for fixing date variables being incorrectly translated by sql_translate_env (#44)

# Before
dbplyr::translate_sql("2019-01-01", con = con)
# '2019-01-01'

# Now
dbplyr::translate_sql("2019-01-01", con = con)
# DATE '2019-01-01'

R functions paste/paste0 would use default dplyr:sql-translate-env (concat_ws). paste0 now uses Presto’s concat function and paste now uses pipes to get extra flexibility for custom separating values.

# R code:
paste("hi", "bye", sep = "-")

# SQL translation:
('hi'||'-'||'bye')

If table exists and parameter append set to TRUE then existing s3.location will be utilised (#73)
db_compute returned table name, however when a user wished to write table to another location (#74). An error would be raised: Error: SYNTAX_ERROR: line 2:6: Table awsdatacatalog.default.temp.iris does not exist This has now been fixed with db_compute returning dbplyr::in_schema.

library(DBI)
library(dplyr)

con <- dbConnect(RAthena::athena())

tbl(con, "iris") %>%
  compute(name = "temp.iris")

dbListFields didn’t display partitioned columns. This has now been fixed with the call to AWS Glue being altered to include more metadata allowing for column names and partitions to be returned.
RStudio connections tab didn’t display any partitioned columns, this has been fixed in the same manner as dbListFields

New Feature

RAthena_options
- Now checks if desired file parser is installed before changed file_parser method
- File parser vroom has been restricted to >= 1.2.0 due to integer64 support and changes to vroom api
dbStatistics is a wrapper around boto3 get_query_execution to return statistics for RAthena::dbSendQuery results (#67)
dbGetQuery has new parameter statistics to print out dbStatistics before returning Athena results (#67)
s3.location now follows new syntax s3://bucket/{schema}/{table}/{partition}/{table_file} to align with Pyathena and to allow tables with same name but in different schema to be uploaded to s3 (#73).
Thanks to @OssiLehtinen for improving the speed of dplyr::tbl when calling Athena when using the ident method (noctua # 64):

library(DBI)
library(dplyr)

con <- dbConnect(RAthena::athena())

# ident method:
t1 <- system.time(tbl(con, "iris"))

# sub query method:
t2 <- system.time(tbl(con, sql("select * from iris")))

# ident method
# user  system elapsed 
# 0.082   0.012   0.288 

# sub query method
# user  system elapsed 
# 0.993   0.138   3.660

Unit test

dplyr sql_translate_env: expected results have now been updated to take into account bug fix with date fields
S3 upload location: Test if the created s3 location is in the correct location

RAthena 1.7.0

New Feature

Added integration into Rstudio connections tab
Added information message of amount of data scanned by AWS Athena
Added method to change backend file parser so user can change file parser from data.table to vroom. From now on it is possible to change file parser using RAthena_options for example:

library(RAthena)

RAthena_options("vroom")

new function dbGetTables that returns Athena hierarchy as a data.frame

Unit tests

Added data transfer unit test for backend file parser vroom

Documentation

Updated R documentation to roxygen2 7.0.2

RAthena 1.6.0

Major Change

Default delimited file uploaded to AWS Athena changed from “csv” to “tsv” this is due to separating value “,” in character variables. By using “tsv” file type JSON/Array objects can be passed to Athena through character types. To prevent this becoming a breaking change dbWriteTable append parameter checks and uses existing AWS Athena DDL file type. If file.type doesn’t match Athena DDL file type then user will receive a warning message:

warning('Appended `file.type` is not compatible with the existing Athena DDL file type and has been converted to "', File.Type,'".', call. = FALSE)

Minor Change

Added AWS_ATHENA_WORK_GROUP environmental variable support
Removed tolower conversion due to request #41

New Feature

Due to help from @OssiLehtinen, dbRemoveTable can now remove S3 files for AWS Athena table being removed.

Bug fix

Due to issue highlighted by @OssiLehtinen in #50, special characters have issue being processed when using flat file in the backend.
Fixed issue where as.character was getting wrongly translated #45
Fixed issue where row.names not being correctly catered and returning NA in column names #41
Fixed issue with INTEGER being incorrectly translated in sql_translate_env.R

Unit Tests

Special characters have been added to unit test data-transfer
dbRemoveTable new parameters are added in unit test
Added row.names to unit test data transfer
Updated dplyr sql_translate_env until test to cater bug fix

RAthena 1.5.0

Major Change

dbWriteTable now will split gzip compressed files to improve AWS Athena performance. By default gzip compressed files will be split into 20.

Performance results

library(DBI)

X <- 1e8

df <- data.frame(w =runif(X),
                 x = 1:X,
                 y = sample(letters, X, replace = T), 
                 z = sample(c(TRUE, FALSE), X, replace = T))

con <- dbConnect(RAthena::athena())

# upload dataframe with different splits
dbWriteTable(con, "test_split1", df, compress = T, max.batch = nrow(df), overwrite = T) # no splits
dbWriteTable(con, "test_split2", df, compress = T, max.batch = 0.05 * nrow(df), overwrite = T) # 20 splits
dbWriteTable(con, "test_split3", df, compress = T, max.batch = 0.1 * nrow(df), overwrite = T) # 10 splits

AWS Athena performance results from AWS console (query executed: select count(*) from .... ):

test_split1: (Run time: 38.4 seconds, Data scanned: 1.16 GB)
test_split2: (Run time: 3.73 seconds, Data scanned: 1.16 GB)
test_split3: (Run time: 5.47 seconds, Data scanned: 1.16 GB)

library(DBI)

X <- 1e8

df <- data.frame(w =runif(X),
                 x = 1:X,
                 y = sample(letters, X, replace = T), 
                 z = sample(c(TRUE, FALSE), X, replace = T))

con <- dbConnect(RAthena::athena())

dbWriteTable(con, "test_split1", df, compress = T, overwrite = T) # default will now split compressed file into 20 equal size files.

Added information message to inform user about what files have been added to S3 location if user is overwriting an Athena table.

Minor Change

copy_to method now supports compress and max_batch, to align with dbWriteTable

Bug Fix

Fixed bug in regards to Athena DDL being created incorrectly when passed from dbWriteTable
Thanks to @OssiLehtinen for identifying issue around uploading class POSIXct to Athena. This class was convert incorrectly and AWS Athena would return NA instead. RAthena will now correctly convert POSIXct to timestamp but will also correct read in timestamp into POSIXct
Thanks to @OssiLehtinen for discovering an issue with NA in string format. Before RAthena would return NA in string class as "" this has now been fixed.
When returning a single column data.frame from Athena, RAthena would translate output into a vector with current the method dbFetch n = 0.
Thanks to @OssiLehtinen for identifying issue around sql_translate_env. Previously RAthena would take the default dplyr::sql_translate_env, now RAthena has a custom method that uses Data types from: https://docs.aws.amazon.com/athena/latest/ug/data-types.html and window functions from: https://docs.aws.amazon.com/athena/latest/ug/functions-operators-reference-section.html

Unit tests

POSIXct class has now been added to data transfer unit test
dplyr sql_translate_env tests if R functions are correct translated in to Athena sql syntax.

RAthena 1.4.1

New Features:

Parquet file type can now be compress using snappy compression when writing data to S3.

Bug Fix

Older versions of R are returning errors when function dbWriteTable is called. The bug is due to function sqlCreateTable which dbWriteTable calls. Parameters table and fields were set to NULL. This has now been fixed.

RAthena 1.4.0

Minor Change

s3.location parameter is dbWriteTable can now be made nullable
sqlCreateTable info message will now only inform user if colnames have changed and display the column name that have changed

Backend Change

helper function upload_data has been rebuilt and removed the old “horrible” if statement with paste now the function relies on sprintf to construct the s3 location path. This method now is a lot clearer in how the s3 location is created plus it enables a dbWriteTable to be simplified. dbWriteTable can now upload data to the default s3_staging directory created in dbConnect this simplifies dbWriteTable to :

library(DBI)

con <- dbConnect(RAthena::athena())

dbWrite(con, "iris", iris)

New Feature

GZIP compression is now supported for “csv” and “tsv” file format in dbWriteTable

Bug Fix

Info message wasn’t being return when colnames needed changing for Athena DDL

Unit Tests

data transfer test now tests compress, and default s3.location when transferring data

RAthena 1.3.0

Major Changes

RAthena now defaults in using data.table to read and write files when transferring data to and from AWS Athena. Reason for change:
- Increase speed in data transfer
- Data types from AWS Athena can be passed to data.table::fread. This enables data types to be read in correctly and not required a second stage to convert data types once data has been read into R

Minor Change

Progress bar from data.table::fread and data.table::fwrite have been disabled
Removed util functions from namespace: write.table, read.csv
Added data.table to namespace

New Features:

AWS Athena bigint are convert into R bit64::integer64 and visa versa

Unit tests

Added bigint to integer64 in data.transfer unit test

RAthena 1.2.0

Minor Changes

Removed old s3_staging_dir validation check from dbConnect method
Improved dbFetch with chunk sizes between 0 - 999. Fixed error where for loop would return error instead of breaking.
simplified py_error function, set call. parameter to FALSE
AthenaQuery s4 class changed to AthenaResult
dbFetch added datatype collection
dbFetch replaced S3 search for query key with output location from Athena
dbClearResult changed error, to return python error as warning to warn user doesn’t have permission to delete S3 resource
dbClearResult replaced S3 search for query key with out location from Athena
dbListTables now returns vector of tables from aws glue instead of using an AWS Athena query. This method increases speed of call of query
dbListFields now returns column names from aws glue instead of using an AWS Athena query.. This method increases speed of call of query
dbExistsTable now returns boolean from aws glue instead of using an AWS Athena query.. This method increases speed of call of query

New Features

new lower level api to work with Athena work groups:
- create_work_group: Creates a workgroup with the specified name.
- delete_work_group: Deletes the workgroup with the specified name.
- list_work_group: Lists available workgroups for the account.
- get_work_group: Returns information about the workgroup with the specified name.
- update_work_group: Updates the workgroup with the specified name. The workgroup’s name cannot be changed.
Added lower level api function get_session_token to create temporary session credentials
Added lower level api function assume_role to assume AWS ARN Role
Added support for AWS ARN Role when connecting to Athena using dbConnect
Created helper function set_aws_env to set aws tokens to environmental variables
Created helper function get_aws_env to return expected results from system variables
Created a helper function tag_options to create tag options for create_work_group
Created a helper function work_group_config and work_group_config_update to create config of work group
Added extra feature to get work group output location in connection function AthenaConnection
created dbColumnInfo method: returns data.frame containing field_name and type
Created helper function time_check to check how long is left on the Athena Connection, if less than 15 minutes a warning message is outputted to notify user
Created s3 method for function db_collect for better integration with dplyr
Created s3 method for function db_save_query for better integration with dplyr
Created s3 method for function db_copy_to for better integration with dplyr

Bug Fix

dbFetch Athena data type miss alignment
Added Athena classes and names to file readers to prevent miss classification
Fixed Athena ddl and underlying data in s3 being miss aligned. Causing parquet files being read by Athena to fail.

Unit tests

ARN Connection
Athena Work Groups
Athena Metadata
dplyr compute
dplyr copy_to

RAthena 1.1.0

New Features

Added new features in AthenaConnection:
- poll_interval: Amount of time took when checking query execution state.
- work_group: allows users to assign work groups to Athena resource
- encryption_option: Athena encryption at rest
- kms_key:AWS Key Management Service
New helper function request build Athena query request
Created s3 method for function db_desc
Changed to default polling value from 1 to be random interval between 0 - 1
Added parameter validation on dbConnect

Unit tests

Athena Request

RAthena 1.0.3

New Feature

Added stop_query_execution to dbClearResult if the query is still running

Bug Fix

Fixed bug of miss-alignment of s3 location and Athena table on lower level folder structures, when writing data.frame to Athena (using dbWriteTable)

Unit tests

Added logical variable type in data transfer unit test

RAthena 1.0.2

CRAN Requirement Changes

Added explanation to DBI alias (Database Interface) to description file due to cran feedback
split functions out of overall r documentation
- Added extra examples to each function
- Added return values
- Added examples that allowed users not to require aws keys
- Added note for user on some example that require an AWS account to run example

Bug Fixes

fixed bug with field names containing “.”, replace with “_” for Athena tables.

Unit tests

Athena DDL
Athena Classes
Data Transfer
Disconnect
Exist/Remove

RAthena 1.0.1

CRAN Requirement Changes

Fixes to description file due to cran submission feedback
- Added link to AWS Athena
- Added description of aliases “AWS”, and “SDK” to description section
- Removed generated MIT license from github
- Formatted LICENSE file

Minor Change

changed helper function waiter to poll, to align with python’s polling

RAthena 1.0.0

Initial RAthena release