Package 'RAthena'

RAthena: a DBI interface into Athena using Boto3 SDK

Description

RAthena provides a seamless DBI interface into Athena using the python package Boto3.

Goal of Package

The goal of the RAthena package is to provide a DBI-compliant interface to Amazon’s Athena using Boto3 software development kit (SDK). This allows for an efficient, easy setup connection to Athena using the Boto3 SDK as a driver.

Installation

Before starting with RAthena, Python is require to be installed on the machine you are intending to run RAthena.

AWS Command Line Interface

As RAthena is using Boto3 as it's backend, AWS Command Line Interface (AWS CLI) can be used to remove user credentials when interacting with Athena.

This allows AWS profile names to be set up so that RAthena can connect to different accounts from the same machine, without needing hard code any credentials.

Note

Boto3 version 1.14.0 + is required

Author(s)

Maintainer: Dyfan Jones [email protected]

See Also

Useful links:

• https://dyfanjones.github.io/RAthena/

• https://github.com/DyfanJones/RAthena

• Report bugs at https://github.com/DyfanJones/RAthena/issues

---

Assume AWS ARN Role

Description

Returns a set of temporary security credentials that you can use to access AWS resources that you might not normally have access to (link). These temporary credentials consist of an access key ID, a secret access key, and a security token. Typically, you use AssumeRole within your account or for cross-account access.

Usage

assume_role(
  profile_name = NULL,
  region_name = NULL,
  role_arn = NULL,
  role_session_name = sprintf("RAthena-session-%s", as.integer(Sys.time())),
  duration_seconds = 3600L,
  set_env = FALSE
)

Arguments

profile_name	The name of a profile to use. If not given, then the default profile is used. To set profile name, the AWS Command Line Interface (AWS CLI) will need to be configured. To configure AWS CLI please refer to: Configuring the AWS CLI.
region_name	Default region when creating new connections. Please refer to link for AWS region codes (region code example: Region = EU (Ireland) region_name = "eu-west-1")
role_arn	The Amazon Resource Name (ARN) of the role to assume (such as arn:aws:sts::123456789012:assumed-role/role_name/role_session_name)
role_session_name	An identifier for the assumed role session. By default RAthena creates a session name sprintf("RAthena-session-%s", as.integer(Sys.time()))
duration_seconds	The duration, in seconds, of the role session. The value can range from 900 seconds (15 minutes) up to the maximum session duration setting for the role. This setting can have a value from 1 hour to 12 hours. By default duration is set to 3600 seconds (1 hour).
set_env	If set to TRUE environmental variables AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN will be set.

Value

assume_role() returns a list containing: "AccessKeyId", "SecretAccessKey", "SessionToken" and "Expiration"

See Also

dbConnect

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.

library(RAthena)
library(DBI)

# Assuming demo ARN role
assume_role(profile_name = "YOUR_PROFILE_NAME",
            role_arn = "arn:aws:sts::123456789012:assumed-role/role_name/role_session_name",
            set_env = TRUE)

# Connect to Athena using ARN Role
con <- dbConnect(RAthena::athena())

## End(Not run)

---

Athena Driver

Description

Driver for an Athena paws connection.

Usage

athena()

Value

athena() returns a s4 class. This class is used active Athena method for DBI::dbConnect

See Also

dbConnect

---

Athena Connection Methods

Description

Implementations of pure virtual functions defined in the DBI package for AthenaConnection objects.

Method to get Athena schema, tables and table types return as a data.frame

This method returns all partitions from Athena table.

Executes a statement to return the data description language (DDL) of the Athena table.

Usage

## S4 method for signature 'AthenaConnection'
show(object)

## S4 method for signature 'AthenaConnection'
dbDisconnect(conn, ...)

## S4 method for signature 'AthenaConnection'
dbIsValid(dbObj, ...)

## S4 method for signature 'AthenaConnection,character'
dbSendQuery(conn, statement, unload = athena_unload(), ...)

## S4 method for signature 'AthenaConnection,character'
dbSendStatement(conn, statement, unload = athena_unload(), ...)

## S4 method for signature 'AthenaConnection,character'
dbExecute(conn, statement, unload = athena_unload(), ...)

## S4 method for signature 'AthenaConnection,ANY'
dbDataType(dbObj, obj, ...)

## S4 method for signature 'AthenaConnection,data.frame'
dbDataType(dbObj, obj, ...)

## S4 method for signature 'AthenaConnection,character'
dbQuoteString(conn, x, ...)

## S4 method for signature 'AthenaConnection,POSIXct'
dbQuoteString(conn, x, ...)

## S4 method for signature 'AthenaConnection,Date'
dbQuoteString(conn, x, ...)

## S4 method for signature 'AthenaConnection,SQL'
dbQuoteIdentifier(conn, x, ...)

dbGetTables(conn, ...)

## S4 method for signature 'AthenaConnection'
dbGetTables(conn, catalog = NULL, schema = NULL, ...)

## S4 method for signature 'AthenaConnection,character'
dbListFields(conn, name, ...)

## S4 method for signature 'AthenaConnection,character'
dbExistsTable(conn, name, ...)

## S4 method for signature 'AthenaConnection,Id'
dbExistsTable(conn, name, ...)

## S4 method for signature 'AthenaConnection,character'
dbRemoveTable(conn, name, delete_data = TRUE, confirm = FALSE, ...)

## S4 method for signature 'AthenaConnection,Id'
dbRemoveTable(conn, name, delete_data = TRUE, confirm = FALSE, ...)

## S4 method for signature 'AthenaConnection,character'
dbGetQuery(conn, statement, statistics = FALSE, unload = athena_unload(), ...)

## S4 method for signature 'AthenaConnection'
dbGetInfo(dbObj, ...)

dbGetPartition(conn, name, ..., .format = FALSE)

## S4 method for signature 'AthenaConnection'
dbGetPartition(conn, name, ..., .format = FALSE)

dbShow(conn, name, ...)

## S4 method for signature 'AthenaConnection'
dbShow(conn, name, ...)

## S4 method for signature 'AthenaConnection'
dbBegin(conn, ...)

## S4 method for signature 'AthenaConnection'
dbCommit(conn, ...)

## S4 method for signature 'AthenaConnection'
dbRollback(conn, ...)

Arguments

object	Any R object
conn	A DBI::DBIConnection object, as returned by dbConnect().
...	Other parameters passed on to methods.
dbObj	An object inheriting from DBIObject, i.e. DBIDriver, DBIConnection, or a DBIResult.
statement	a character string containing SQL.
unload	boolean input to modify statement to align with AWS Athena UNLOAD, default is set to FALSE.
obj	An R object whose SQL type we want to determine.
x	A character vector to quote as string.
catalog	Athena catalog, default set to NULL to return all tables from all Athena catalogs
schema	Athena schema, default set to NULL to return all tables from all Athena schemas. Note: The use of DATABASE and SCHEMA is interchangeable within Athena.
name	The table name, passed on to dbQuoteIdentifier(). Options are: a character string with the unquoted DBMS table name, e.g. "table_name", a call to Id() with components to the fully qualified table name, e.g. Id(schema = "my_schema", table = "table_name") a call to SQL() with the quoted and fully qualified table name given verbatim, e.g. SQL('"my_schema"."table_name"')
delete_data	Deletes S3 files linking to AWS Athena table
confirm	Allows for S3 files to be deleted without the prompt check. It is recommend to leave this set to FALSE to avoid deleting other S3 files when the table's definition points to the root of S3 bucket.
statistics	If set to TRUE will print out AWS Athena statistics of query.
.format	re-formats AWS Athena partitions format. So that each column represents a partition from the AWS Athena table. Default set to FALSE to prevent breaking previous package behaviour.

Value

dbGetTables() returns a data.frame.

data.frame that returns all partitions in table, if no partitions in Athena table then function will return error from Athena.

dbShow() returns SQL characters of the Athena table DDL.

Slots

ptr

a list of connecting objects from the python SDK boto3.

info

a list of metadata objects

quote

syntax to quote sql query when creating Athena ddl

---

Athena Result Methods

Description

Implementations of pure virtual functions defined in the DBI package for AthenaResult objects.

Returns AWS Athena Statistics from execute queries DBI::dbSendQuery

Usage

## S4 method for signature 'AthenaResult'
dbClearResult(res, ...)

## S4 method for signature 'AthenaResult'
dbFetch(res, n = -1, ...)

## S4 method for signature 'AthenaResult'
dbHasCompleted(res, ...)

## S4 method for signature 'AthenaResult'
dbIsValid(dbObj, ...)

## S4 method for signature 'AthenaResult'
dbGetInfo(dbObj, ...)

## S4 method for signature 'AthenaResult'
dbColumnInfo(res, ...)

dbStatistics(res, ...)

## S4 method for signature 'AthenaResult'
dbStatistics(res, ...)

## S4 method for signature 'AthenaResult'
dbGetStatement(res, ...)

Arguments

res	An object inheriting from DBI::DBIResult.
...	Other arguments passed on to methods.
n	maximum number of records to retrieve per fetch. Use n = -1 or n = Inf to retrieve all pending records. Some implementations may recognize other special values.
dbObj	An object inheriting from DBI::DBIResult, DBI::DBIConnection, or DBI::DBIDriver.

Value

dbStatistics() returns list containing Athena Statistics return from paws.

Note

If a user does not have permission to remove AWS S3 resource from AWS Athena output location, then an AWS warning will be returned. For example AccessDenied (HTTP 403). Access Denied. It is better use query caching or optionally prevent clear AWS S3 resource using RAthena_options

---

Convenience functions for reading/writing DBMS tables

Description

Convenience functions for reading/writing DBMS tables

Usage

## S4 method for signature 'AthenaConnection,character,data.frame'
dbWriteTable(
  conn,
  name,
  value,
  overwrite = FALSE,
  append = FALSE,
  row.names = NA,
  field.types = NULL,
  partition = NULL,
  s3.location = NULL,
  file.type = c("tsv", "csv", "parquet", "json"),
  compress = FALSE,
  max.batch = Inf,
  ...
)

## S4 method for signature 'AthenaConnection,Id,data.frame'
dbWriteTable(
  conn,
  name,
  value,
  overwrite = FALSE,
  append = FALSE,
  row.names = NA,
  field.types = NULL,
  partition = NULL,
  s3.location = NULL,
  file.type = c("tsv", "csv", "parquet", "json"),
  compress = FALSE,
  max.batch = Inf,
  ...
)

## S4 method for signature 'AthenaConnection,SQL,data.frame'
dbWriteTable(
  conn,
  name,
  value,
  overwrite = FALSE,
  append = FALSE,
  row.names = NA,
  field.types = NULL,
  partition = NULL,
  s3.location = NULL,
  file.type = c("tsv", "csv", "parquet", "json"),
  compress = FALSE,
  max.batch = Inf,
  ...
)

Arguments

conn	An AthenaConnection object, produced by DBI::dbConnect()
name	A character string specifying a table name. Names will be automatically quoted so you can use any sequence of characters, not just any valid bare table name.
value	A data.frame to write to the database.
overwrite	Allows overwriting the destination table. Cannot be TRUE if append is also TRUE.
append	Allow appending to the destination table. Cannot be TRUE if overwrite is also TRUE. Existing Athena DDL file type will be retained and used when uploading data to AWS Athena. If parameter file.type doesn't match AWS Athena DDL file type a warning message will be created notifying user and RAthena will use the file type for the Athena DDL. When appending to an Athena DDL that has been created outside of RAthena. RAthena can support the following SerDes and Data Formats. csv/tsv: LazySimpleSerDe parquet: Parquet SerDe json: JSON SerDe Libraries
row.names	Either TRUE, FALSE, NA or a string. If TRUE, always translate row names to a column called "row_names". If FALSE, never translate row names. If NA, translate rownames only if they're a character vector. A string is equivalent to TRUE, but allows you to override the default name. For backward compatibility, NULL is equivalent to FALSE.
field.types	Additional field types used to override derived types.
partition	Partition Athena table (needs to be a named list or vector) for example: c(var1 = "2019-20-13")
s3.location	s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/"). By default, the s3.location is set to s3 staging directory from AthenaConnection object. Note: When creating a table for the first time s3.location will be formatted from "s3://mybucket/data/" to the following syntax "s3://{mybucket/data}/{schema}/{table}/{parition}/" this is to support tables with the same name but existing in different schemas. If schema isn't specified in name parameter then the schema from dbConnect is used instead.
file.type	What file type to store data.frame on s3, RAthena currently supports c("tsv", "csv", "parquet", "json"). Default delimited file type is "tsv", in previous versions of RAthena (=< 1.6.0) file type "csv" was used as default. The reason for the change is that columns containing Array/JSON format cannot be written to Athena due to the separating value ",". This would cause issues with AWS Athena. Note: "parquet" format is supported by the arrow package and it will need to be installed to utilise the "parquet" format. "json" format is supported by jsonlite package and it will need to be installed to utilise the "json" format.
compress	FALSE | TRUE To determine if to compress file.type. If file type is c("csv", "tsv") then "gzip" compression is used, for file type "parquet" "snappy" compression is used. Currently RAthena doesn't support compression for "json" file type.
max.batch	Split the data frame by max number of rows i.e. 100,000 so that multiple files can be uploaded into AWS S3. By default when compression is set to TRUE and file.type is "csv" or "tsv" max.batch will split data.frame into 20 batches. This is to help the performance of AWS Athena when working with files compressed in "gzip" format. max.batch will not split the data.frame when loading file in parquet format. For more information please go to link
...	Other arguments used by individual methods.

Value

dbWriteTable() returns TRUE, invisibly. If the table exists, and both append and overwrite arguments are unset, or append = TRUE and the data frame with the new data has different column names, an error is raised; the remote table remains unchanged.

See Also

dbWriteTable

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documnentation

library(DBI)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# List existing tables in Athena
dbListTables(con)

# Write data.frame to Athena table
dbWriteTable(con, "mtcars", mtcars,
             partition=c("TIMESTAMP" = format(Sys.Date(), "%Y%m%d")),
             s3.location = "s3://mybucket/data/")

# Read entire table from Athena
dbReadTable(con, "mtcars")

# List all tables in Athena after uploading new table to Athena
dbListTables(con)

# Checking if uploaded table exists in Athena
dbExistsTable(con, "mtcars")

# using default s3.location
dbWriteTable(con, "iris", iris)

# Read entire table from Athena
dbReadTable(con, "iris")

# List all tables in Athena after uploading new table to Athena
dbListTables(con)

# Checking if uploaded table exists in Athena
dbExistsTable(con, "iris")

# Disconnect from Athena
dbDisconnect(con)

## End(Not run)

---

Athena S3 implementation of dbplyr backend functions (api version 2).

Description

These functions are used to build the different types of SQL queries. The AWS Athena implementation give extra parameters to allow access the to standard DBI Athena methods. They also utilise AWS Glue to speed up sql query execution.

Usage

sql_query_explain.AthenaConnection(con, sql, format = "text", type = NULL, ...)

sql_query_fields.AthenaConnection(con, sql, ...)

sql_escape_date.AthenaConnection(con, x)

sql_escape_datetime.AthenaConnection(con, x)

Arguments

con	A dbConnect object, as returned by dbConnect()
sql	SQL code to be sent to AWS Athena
format	returning format for explain queries, default set to "text". Other formats can be found: https://docs.aws.amazon.com/athena/latest/ug/athena-explain-statement.html
type	return plan for explain queries, default set to NULL. Other type can be found: https://docs.aws.amazon.com/athena/latest/ug/athena-explain-statement.html
...	other parameters, currently not implemented
x	R object to be transformed into athena equivalent

Value

sql_query_explain

Returns sql query for AWS Athena explain statement

sql_query_fields

Returns sql query column names

sql_escape_date

Returns sql escaping from dates

sql_escape_datetime

Returns sql escaping from date times

---

Athena S3 implementation of dbplyr backend functions (api version 1).

Description

These functions are used to build the different types of SQL queries. The AWS Athena implementation give extra parameters to allow access the to standard DBI Athena methods. They also utilise AWS Glue to speed up sql query execution.

Usage

db_explain.AthenaConnection(con, sql, ...)

db_query_fields.AthenaConnection(con, sql, ...)

Arguments

con	A dbConnect object, as returned by dbConnect()
sql	SQL code to be sent to AWS Athena
...	other parameters, currently not implemented

Value

db_explain

Returns AWS Athena explain statement

db_query_fields

Returns sql query column names

---

S3 implementation of db_compute for Athena

Description

This is a backend function for dplyr's compute function. Users won't be required to access and run this function.

Usage

db_compute.AthenaConnection(
  con,
  table,
  sql,
  ...,
  overwrite = FALSE,
  temporary = FALSE,
  unique_indexes = list(),
  indexes = list(),
  analyze = TRUE,
  in_transaction = FALSE,
  partition = NULL,
  s3_location = NULL,
  file_type = c("csv", "tsv", "parquet"),
  compress = FALSE
)

sql_query_save.AthenaConnection(
  con,
  sql,
  name,
  temporary = TRUE,
  ...,
  partition = NULL,
  s3_location = NULL,
  file_type = NULL,
  compress = FALSE
)

Arguments

con	A dbConnect object, as returned by dbConnect()
table	Table name, if left default RAthena will use the default from dplyr's compute function.
sql	SQL code to be sent to the data
...	passes RAthena table creation parameters: file_type,s3_location,partition.
overwrite	Allows overwriting the destination table. Cannot be TRUE if append is also TRUE.
temporary	if TRUE, will create a temporary table that is local to this connection and will be automatically deleted when the connection expires
unique_indexes	a list of character vectors. Each element of the list will create a new unique index over the specified column(s). Duplicate rows will result in failure.
indexes	a list of character vectors. Each element of the list will create a new index.
analyze	if TRUE (the default), will automatically ANALYZE the new table so that the query optimiser has useful information.
in_transaction	Should the table creation be wrapped in a transaction? This typically makes things faster, but you may want to suppress if the database doesn't support transactions, or you're wrapping in a transaction higher up (and your database doesn't support nested transactions.)
partition	Partition Athena table (needs to be a named list or vector) for example: c(var1 = "2019-20-13")
s3_location	s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/")
file_type	What file type to store data.frame on s3, RAthena currently supports c("tsv", "csv", "parquet"). Default delimited file type is "tsv", in previous versions of RAthena (=< 1.4.0) file type "csv" was used as default. The reason for the change is that columns containing Array/JSON format cannot be written to Athena due to the separating value ",". This would cause issues with AWS Athena. Note: "parquet" format is supported by the arrow package and it will need to be installed to utilise the "parquet" format.
compress	FALSE | TRUE To determine if to compress file.type. If file type is c("csv", "tsv") then "gzip" compression is used, for file type "parquet" "snappy" compression is used. file_type: What file type to store data.frame on s3, RAthena currently supports c("NULL","csv", "parquet", "json"). "NULL" will let Athena set the file_type for you. s3_location: s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/") partition: Partition Athena table, requires to be a partitioned variable from previous table.
name	Table name, if left default RAthena will use the default from dplyr's compute function.

Value

db_compute returns table name

See Also

AthenaWriteTables

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documentation

library(DBI)
library(dplyr)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# Write data.frame to Athena table
copy_to(con, mtcars,
  s3_location = "s3://mybucket/data/"
)

# Write Athena table from tbl_sql
athena_mtcars <- tbl(con, "mtcars")
mtcars_filter <- athena_mtcars %>% filter(gear >= 4)

# create athena with unique table name
mtcars_filer %>%
  compute()

# create athena with specified name and s3 location
mtcars_filer %>%
  compute("mtcars_filer",
    s3_location = "s3://mybucket/mtcars_filer/"
  )

# Disconnect from Athena
dbDisconnect(con)

## End(Not run)

---

S3 implementation of db_connection_describe for Athena (api version 2).

Description

This is a backend function for dplyr to retrieve meta data about Athena queries. Users won't be required to access and run this function.

Usage

db_connection_describe.AthenaConnection(con)

Arguments

con	A dbConnect object, as returned by dbConnect()

Value

Character variable containing Meta Data about query sent to Athena. The Meta Data is returned in the following format:

"Athena <boto3 version> [<profile_name>@region/database]"

---

S3 implementation of db_copy_to for Athena

Description

This is an Athena method for dbplyr function db_copy_to to create an Athena table from a data.frame.

Usage

db_copy_to.AthenaConnection(
  con,
  table,
  values,
  ...,
  partition = NULL,
  s3_location = NULL,
  file_type = c("csv", "tsv", "parquet"),
  compress = FALSE,
  max_batch = Inf,
  overwrite = FALSE,
  append = FALSE,
  types = NULL,
  temporary = TRUE,
  unique_indexes = NULL,
  indexes = NULL,
  analyze = TRUE,
  in_transaction = FALSE
)

Arguments

con	A dbConnect object, as returned by dbConnect()
table	A character string specifying a table name. Names will be automatically quoted so you can use any sequence of characters, not just any valid bare table name.
values	A data.frame to write to the database.
...	other parameters currently not supported in RAthena
partition	Partition Athena table (needs to be a named list or vector) for example: c(var1 = "2019-20-13")
s3_location	s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/")
file_type	What file type to store data.frame on s3, RAthena currently supports c("tsv", "csv", "parquet"). Default delimited file type is "tsv", in previous versions of RAthena (=< 1.4.0) file type "csv" was used as default. The reason for the change is that columns containing Array/JSON format cannot be written to Athena due to the separating value ",". This would cause issues with AWS Athena. Note: "parquet" format is supported by the arrow package and it will need to be installed to utilise the "parquet" format.
compress	FALSE | TRUE To determine if to compress file.type. If file type is c("csv", "tsv") then "gzip" compression is used, for file type "parquet" "snappy" compression is used.
max_batch	Split the data frame by max number of rows i.e. 100,000 so that multiple files can be uploaded into AWS S3. By default when compression is set to TRUE and file.type is "csv" or "tsv" max.batch will split data.frame into 20 batches. This is to help the performance of AWS Athena when working with files compressed in "gzip" format. max.batch will not split the data.frame when loading file in parquet format. For more information please go to link
overwrite	Allows overwriting the destination table. Cannot be TRUE if append is also TRUE.
append	Allow appending to the destination table. Cannot be TRUE if overwrite is also TRUE. Existing Athena DDL file type will be retained and used when uploading data to AWS Athena. If parameter file.type doesn't match AWS Athena DDL file type a warning message will be created notifying user and RAthena will use the file type for the Athena DDL.
types	Additional field types used to override derived types.
temporary	if TRUE, will create a temporary table that is local to this connection and will be automatically deleted when the connection expires
unique_indexes	a list of character vectors. Each element of the list will create a new unique index over the specified column(s). Duplicate rows will result in failure.
indexes	a list of character vectors. Each element of the list will create a new index.
analyze	if TRUE (the default), will automatically ANALYZE the new table so that the query optimiser has useful information.
in_transaction	Should the table creation be wrapped in a transaction? This typically makes things faster, but you may want to suppress if the database doesn't support transactions, or you're wrapping in a transaction higher up (and your database doesn't support nested transactions.)

Value

db_copy_to returns table name

See Also

AthenaWriteTables

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documnentation

library(DBI)
library(dplyr)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# List existing tables in Athena
dbListTables(con)

# Write data.frame to Athena table
copy_to(con, mtcars,
        s3_location = "s3://mybucket/data/")

# Checking if uploaded table exists in Athena
dbExistsTable(con, "mtcars")

# Write Athena table from tbl_sql
athena_mtcars <- tbl(con, "mtcars")
mtcars_filter <- athena_mtcars %>% filter(gear >=4)

copy_to(con, mtcars_filter)

# Checking if uploaded table exists in Athena
dbExistsTable(con, "mtcars_filter")

# Disconnect from Athena
dbDisconnect(con)

## End(Not run)

---

S3 implementation of db_desc for Athena (api version 1).

Description

This is a backend function for dplyr to retrieve meta data about Athena queries. Users won't be required to access and run this function.

Usage

db_desc.AthenaConnection(x)

Arguments

x	A dbConnect object, as returned by dbConnect()

Value

Character variable containing Meta Data about query sent to Athena. The Meta Data is returned in the following format:

"Athena <boto3 version> [<profile_name>@region/database]"

---

Connect to Athena using python's sdk boto3

Description

It is never advised to hard-code credentials when making a connection to Athena (even though the option is there). Instead it is advised to use profile_name (set up by AWS Command Line Interface), Amazon Resource Name roles or environmental variables. Here is a list of supported environment variables:

• AWS_ACCESS_KEY_ID: is equivalent to the dbConnect parameter - aws_access_key_id

• AWS_SECRET_ACCESS_KEY: is equivalent to the dbConnect parameter - aws_secret_access_key

• AWS_SESSION_TOKEN: is equivalent to the dbConnect parameter - aws_session_token

• AWS_EXPIRATION: is equivalent to the dbConnect parameter - duration_seconds

• AWS_ATHENA_S3_STAGING_DIR: is equivalent to the dbConnect parameter - s3_staging_dir

• AWS_ATHENA_WORK_GROUP: is equivalent to dbConnect parameter - work_group

• AWS_REGION: is equivalent to dbConnect parameter - region_name

NOTE: If you have set any environmental variables in .Renviron please restart your R in order for the changes to take affect.

Usage

## S4 method for signature 'AthenaDriver'
dbConnect(
  drv,
  aws_access_key_id = NULL,
  aws_secret_access_key = NULL,
  aws_session_token = NULL,
  catalog_name = "AwsDataCatalog",
  schema_name = "default",
  work_group = NULL,
  poll_interval = NULL,
  encryption_option = c("NULL", "SSE_S3", "SSE_KMS", "CSE_KMS"),
  kms_key = NULL,
  profile_name = NULL,
  role_arn = NULL,
  role_session_name = sprintf("RAthena-session-%s", as.integer(Sys.time())),
  duration_seconds = 3600L,
  s3_staging_dir = NULL,
  region_name = NULL,
  botocore_session = NULL,
  bigint = c("integer64", "integer", "numeric", "character"),
  binary = c("raw", "character"),
  json = c("auto", "character"),
  timezone = "UTC",
  keyboard_interrupt = TRUE,
  rstudio_conn_tab = TRUE,
  endpoint_override = NULL,
  ...
)

Arguments

drv	A object inheriting from DBI::DBIDriver.
aws_access_key_id	AWS access key ID
aws_secret_access_key	AWS secret access key
aws_session_token	AWS temporary session token
catalog_name	The catalog_name to which the connection belongs
schema_name	The schema_name to which the connection belongs
work_group	The name of the work group to run Athena queries , Currently defaulted to NULL.
poll_interval	Amount of time took when checking query execution status. Default set to a random interval between 0.5 - 1 seconds.
encryption_option	Athena encryption at rest link. Supported Amazon S3 Encryption Options c("NULL", "SSE_S3", "SSE_KMS", "CSE_KMS"). Connection will default to NULL, usually changing this option is not required.
kms_key	AWS Key Management Service, please refer to link for more information around the concept.
profile_name	The name of a profile to use. If not given, then the default profile is used. To set profile name, the AWS Command Line Interface (AWS CLI) will need to be configured. To configure AWS CLI please refer to: Configuring the AWS CLI.
role_arn	The Amazon Resource Name (ARN) of the role to assume (such as arn:aws:sts::123456789012:assumed-role/role_name/role_session_name)
role_session_name	An identifier for the assumed role session. By default RAthena creates a session name sprintf("RAthena-session-%s", as.integer(Sys.time()))
duration_seconds	The duration, in seconds, of the role session. The value can range from 900 seconds (15 minutes) up to the maximum session duration setting for the role. This setting can have a value from 1 hour to 12 hours. By default duration is set to 3600 seconds (1 hour).
s3_staging_dir	The location in Amazon S3 where your query results are stored, such as s3://path/to/query/bucket/
region_name	Default region when creating new connections. Please refer to link for AWS region codes (region code example: Region = EU (Ireland) region_name = "eu-west-1")
botocore_session	Use this Botocore session instead of creating a new default one.
bigint	The R type that 64-bit integer types should be mapped to, default is bit64::integer64, which allows the full range of 64 bit integers.
binary	The R type that "binary/varbinary" types should be mapped to, default is raw. If the mapping fails R will resort to ⁠character`` type. To ignore data type conversion set to ⁠character'.
json	Attempt to converts AWS Athena data types arrays, json using jsonlite:parse_json. If the mapping fails R will resort to character type. Custom Json parsers can be provide by using a function with data frame parameter. To ignore data type conversion set to "character".
timezone	Sets the timezone for the connection. The default is UTC. If NULL then no timezone is set, which defaults to the server's time zone. ⁠AWS Athena⁠ accepted time zones: https://docs.aws.amazon.com/athena/latest/ug/athena-supported-time-zones.html.
keyboard_interrupt	Stops AWS Athena process when R gets a keyboard interrupt, currently defaults to TRUE
rstudio_conn_tab	Optional to get AWS Athena Schema from AWS Glue Catalogue and display it in RStudio's Connections Tab. Default set to TRUE. For large ⁠AWS Glue Catalogue⁠ it is recommended to set rstudio_conn_tab=FALSE to ensure a fast connection.
endpoint_override	(character/list) The complete URL to use for the constructed client. Normally, botocore will automatically construct the appropriate URL to use when communicating with a service. You can specify a complete URL (including the "http/https" scheme) to override this behaviour. If endpoint_override is a character then AWS Athena endpoint is overridden. To override AWS S3 or AWS Glue endpoints a named list needs to be provided. The list can only have the following names ⁠c('athena', 's3', glue')⁠ for example list(glue = "https://glue.eu-west-1.amazonaws.com")
...	Passes parameters to boto3.session.Session and client. boto3.session.Session botocore_session (botocore.session.Session): Use this Botocore session instead of creating a new default one. boto3.client config (botocore.client.Config) – Advanced client configuration options. If region_name is specified in the client config, its value will take precedence over environment variables and configuration values, but not over a region_name value passed explicitly to the method. See botocore config documentation for more details. api_version (string) – The API version to use. By default, botocore will use the latest API version when creating a client. You only need to specify this parameter if you want to use a previous API version of the client. use_ssl (boolean) – Whether or not to use SSL. By default, SSL is used. Note that not all services support non-ssl connections. verify (boolean/string) – Whether or not to verify SSL certificates. By default SSL certificates are verified. You can provide the following values: False - do not validate SSL certificates. SSL will still be used (unless use_ssl is False), but SSL certificates will not be verified. path/to/cert/bundle.pem - A filename of the CA cert bundle to uses. You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

Value

dbConnect() returns a s4 class. This object is used to communicate with AWS Athena.

See Also

dbConnect

Examples

## Not run: 
# Connect to Athena using your aws access keys
 library(DBI)
 con <- dbConnect(RAthena::athena(),
                  aws_access_key_id='YOUR_ACCESS_KEY_ID', #
                  aws_secret_access_key='YOUR_SECRET_ACCESS_KEY',
                  s3_staging_dir='s3://path/to/query/bucket/',
                  region_name='us-west-2')
 dbDisconnect(con)

# Connect to Athena using your profile name
# Profile name can be created by using AWS CLI
 con <- dbConnect(RAthena::athena(),
                  profile_name = "YOUR_PROFILE_NAME",
                  s3_staging_dir = 's3://path/to/query/bucket/')
 dbDisconnect(con)

# Connect to Athena using ARN role
 con <- dbConnect(RAthena::athena(),
                  profile_name = "YOUR_PROFILE_NAME",
                  role_arn = "arn:aws:sts::123456789012:assumed-role/role_name/role_session_name",
                  s3_staging_dir = 's3://path/to/query/bucket/')

 dbDisconnect(con)

## End(Not run)

---

dbConvertTable aws s3 backend file types.

Description

Utilises AWS Athena to convert AWS S3 backend file types. It also also to create more efficient file types i.e. "parquet" and "orc" from SQL queries.

Usage

dbConvertTable(conn, obj, name, ...)

## S4 method for signature 'AthenaConnection'
dbConvertTable(
  conn,
  obj,
  name,
  partition = NULL,
  s3.location = NULL,
  file.type = c("NULL", "csv", "tsv", "parquet", "json", "orc"),
  compress = TRUE,
  data = TRUE,
  ...
)

Arguments

conn	A DBI::DBIConnection object,
obj	Athena table or SQL DML query to be converted. For SQL, the query need to be wrapped with DBI::SQL() and follow AWS Athena DML format link
name	Name of destination table
...	Extra parameters, currently not used
partition	Partition Athena table
s3.location	location to store output file, must be in s3 uri format for example ("s3://mybucket/data/").
file.type	File type for name, currently support c("NULL","csv", "tsv", "parquet", "json", "orc"). "NULL" will let Athena set the file type for you.
compress	Compress name, currently can only compress c("parquet", "orc") (AWS Athena CTAS)
data	If name should be created with data or not.

Value

dbConvertTable() returns TRUE but invisible.

---

List Athena Tables

Description

Returns the unquoted names of Athena tables accessible through this connection.

Usage

## S4 method for signature 'AthenaConnection'
dbListTables(conn, catalog = NULL, schema = NULL, ...)

Arguments

conn	A DBI::DBIConnection object, as returned by dbConnect().
catalog	Athena catalog, default set to NULL to return all tables from all Athena catalogs
schema	Athena schema, default set to NULL to return all tables from all Athena schemas. Note: The use of DATABASE and SCHEMA is interchangeable within Athena.
...	Other parameters passed on to methods.

Value

dbListTables() returns a character vector with all the tables from Athena.

See Also

dbListTables

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documnentation

library(DBI)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# Return list of tables in Athena
dbListTables(con)

# Disconnect conenction
dbDisconnect(con)

## End(Not run)

---

Declare which version of dbplyr API is being called.

Description

Declare which version of dbplyr API is being called.

Usage

dbplyr_edition.AthenaConnection(con)

Arguments

con	A dbConnect object, as returned by dbConnect()

Value

Integer for which version of dbplyr is going to be used.

---

Install Amazon SDK boto3 for Athena connection

Description

Install Amazon SDK boto3 for Athena connection

Usage

install_boto(
  method = c("auto", "virtualenv", "conda"),
  conda = "auto",
  envname = "RAthena",
  conda_python_version = "3.13",
  ...
)

Arguments

method	Installation method. By default, "auto" automatically finds a method that will work in the local environment. Change the default to force a specific installation method. Note that the "virtualenv" method is not available on Windows. Note also that since this command runs without privilege the "system" method is available only on Windows.
conda	The path to a conda executable. Use "auto" to allow reticulate to automatically find an appropriate conda binary. See Finding Conda and conda_binary() for more details.
envname	Name of Python environment to install within, by default environment name RAthena.
conda_python_version	the python version installed in the created conda environment. Python 3.13 is installed by default.
...	other arguments passed to reticulate::conda_install() or reticulate::virtualenv_install().

Value

Returns NULL after installing Python Boto3.

Note

reticulate::use_python or reticulate::use_condaenv might be required before connecting to Athena.

---

A method to configure RAthena backend options.

Description

RAthena_options() provides a method to change the backend. This includes changing the file parser, whether RAthena should cache query ids locally and number of retries on a failed api call.

Usage

RAthena_options(
  file_parser,
  bigint,
  binary,
  json,
  cache_size,
  clear_cache,
  retry,
  retry_quiet,
  unload,
  clear_s3_resource,
  verbose
)

Arguments

file_parser	Method to read and write tables to Athena, currently default to "data.table". The file_parser also determines the data format returned for example "data.table" will return data.table and "vroom" will return tibble.
bigint	The R type that 64-bit integer types should be mapped to (default: "integer64"). Inbuilt bigint conversion types c("integer64", "integer", "numeric", "character").
binary	The R type that "binary/varbinary" types should be mapped to (default "raw"). Inbuilt binary conversion types c("raw", "character").
json	Attempt to converts AWS Athena data types arrays, json using jsonlite:parse_json (default: "auto"). Inbuilt json conversion types c("auto", "character"). Custom Json parsers can be provide by using a function with data frame parameter.
cache_size	Number of queries to be cached. Currently only support caching up to 100 distinct queries (default: 0).
clear_cache	Clears all previous cached query metadata
retry	Maximum number of requests to attempt (default: 5).
retry_quiet	This method is deprecated please use verbose instead.
unload	set AWS Athena unload functionality globally (default: FALSE)
clear_s3_resource	Clear down ⁠AWS Athena⁠ ⁠AWS S3⁠ resource (s3_staging_dir location). This is useful for users that don't have the ⁠AWS IAM role⁠ permissions delete from s3_staging_dir (default: TRUE)
verbose	print package info messages (default: TRUE)

Value

RAthena_options() returns the list of athena option environment invisibly.

Examples

library(RAthena)

# change file parser from default data.table to vroom
RAthena_options("vroom")

# cache queries locally
RAthena_options(cache_size = 5)

---

Get Session Tokens for Boto3 Connection

Description

Returns a set of temporary credentials for an AWS account or IAM user (link).

Usage

get_session_token(
  profile_name = NULL,
  region_name = NULL,
  serial_number = NULL,
  token_code = NULL,
  duration_seconds = 3600L,
  set_env = FALSE
)

Arguments

profile_name	The name of a profile to use. If not given, then the default profile is used. To set profile name, the AWS Command Line Interface (AWS CLI) will need to be configured. To configure AWS CLI please refer to: Configuring the AWS CLI.
region_name	Default region when creating new connections. Please refer to link for AWS region codes (region code example: Region = EU (Ireland) region_name = "eu-west-1")
serial_number	The identification number of the MFA device that is associated with the IAM user who is making the GetSessionToken call. Specify this value if the IAM user has a policy that requires MFA authentication. The value is either the serial number for a hardware device (such as GAHT12345678) or an Amazon Resource Name (ARN) for a virtual device (such as arn:aws:iam::123456789012:mfa/user).
token_code	The value provided by the MFA device, if MFA is required. If any policy requires the IAM user to submit an MFA code, specify this value. If MFA authentication is required, the user must provide a code when requesting a set of temporary security credentials. A user who fails to provide the code receives an "access denied" response when requesting resources that require MFA authentication.
duration_seconds	The duration, in seconds, that the credentials should remain valid. Acceptable duration for IAM user sessions range from 900 seconds (15 minutes) to 129,600 seconds (36 hours), with 3,600 seconds (1 hour) as the default.
set_env	If set to TRUE environmental variables AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN will be set.

Value

get_session_token() returns a list containing: "AccessKeyId", "SecretAccessKey", "SessionToken" and "Expiration"

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.

library(RAthena)
library(DBI)

# Create Temporary Credentials duration 1 hour
get_session_token("YOUR_PROFILE_NAME",
                  serial_number='arn:aws:iam::123456789012:mfa/user',
                  token_code = "531602",
                  set_env = TRUE)

# Connect to Athena using temporary credentials
con <- dbConnect(athena())

## End(Not run)

---

AWS Athena backend dbplyr version 1 and 2

Description

Create s3 implementation of sql_translate_env for AWS Athena sql translate environment based off Athena Data Types and DML Queries, Functions, and Operators

Usage

sql_translation.AthenaConnection(con)

sql_translate_env.AthenaConnection(con)

Arguments

con	An AthenaConnection object, produced by DBI::dbConnect()

---

Creates query to create a simple Athena table

Description

Creates an interface to compose CREATE EXTERNAL TABLE.

Usage

## S4 method for signature 'AthenaConnection'
sqlCreateTable(
  con,
  table,
  fields,
  field.types = NULL,
  partition = NULL,
  s3.location = NULL,
  file.type = c("tsv", "csv", "parquet", "json"),
  compress = FALSE,
  ...
)

Arguments

con	A database connection.
table	The table name, passed on to dbQuoteIdentifier(). Options are: a character string with the unquoted DBMS table name, e.g. "table_name", a call to Id() with components to the fully qualified table name, e.g. Id(schema = "my_schema", table = "table_name") a call to SQL() with the quoted and fully qualified table name given verbatim, e.g. SQL('"my_schema"."table_name"')
fields	Either a character vector or a data frame. A named character vector: Names are column names, values are types. Names are escaped with dbQuoteIdentifier(). Field types are unescaped. A data frame: field types are generated using dbDataType().
field.types	Additional field types used to override derived types.
partition	Partition Athena table (needs to be a named list or vector) for example: c(var1 = "2019-20-13")
s3.location	s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/"). By default s3.location is set s3 staging directory from AthenaConnection object.
file.type	What file type to store data.frame on s3, RAthena currently supports c("tsv", "csv", "parquet", "json"). Default delimited file type is "tsv", in previous versions of RAthena (=< 1.6.0) file type "csv" was used as default. The reason for the change is that columns containing Array/JSON format cannot be written to Athena due to the separating value ",". This would cause issues with AWS Athena. Note: "parquet" format is supported by the arrow package and it will need to be installed to utilise the "parquet" format. "json" format is supported by jsonlite package and it will need to be installed to utilise the "json" format.
compress	FALSE | TRUE To determine if to compress file.type. If file type is c("csv", "tsv") then "gzip" compression is used, for file type "parquet" "snappy" compression is used. Currently RAthena doesn't support compression for "json" file type.
...	Other arguments used by individual methods.

Value

sqlCreateTable returns data.frame's DDL in the SQL format.

See Also

sqlCreateTable

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documnentation

library(DBI)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# Create DDL for iris data.frame
sqlCreateTable(con, "iris", iris, s3.location = "s3://path/to/athena/table")

# Create DDL for iris data.frame with partition
sqlCreateTable(con, "iris", iris,
               partition = "timestamp",
               s3.location = "s3://path/to/athena/table")

# Create DDL for iris data.frame with partition and file.type parquet
sqlCreateTable(con, "iris", iris,
               partition = "timestamp",
               s3.location = "s3://path/to/athena/table",
               file.type = "parquet")

# Disconnect from Athena
dbDisconnect(con)

## End(Not run)

---

Converts data frame into suitable format to be uploaded to Athena

Description

This method converts data.frame columns into the correct format so that it can be uploaded Athena.

Usage

## S4 method for signature 'AthenaConnection'
sqlData(
  con,
  value,
  row.names = NA,
  file.type = c("tsv", "csv", "parquet", "json"),
  ...
)

Arguments

con	A database connection.
value	A data frame
row.names	Either TRUE, FALSE, NA or a string. If TRUE, always translate row names to a column called "row_names". If FALSE, never translate row names. If NA, translate rownames only if they're a character vector. A string is equivalent to TRUE, but allows you to override the default name. For backward compatibility, NULL is equivalent to FALSE.
file.type	What file type to store data.frame on s3, RAthena currently supports c("csv", "tsv", "parquet", "json"). Note: This parameter is used for format any special characters that clash with file type separator.
...	Other arguments used by individual methods.

Value

sqlData returns a dataframe formatted for Athena. Currently converts list variable types into character split by '|', similar to how data.table writes out to files.

See Also

sqlData

---

Athena Work Groups

Description

Lower level API access, allows user to create and delete Athena Work Groups.

create_work_group

Creates a workgroup with the specified name (link). The work group utilises parameters from the dbConnect object, to determine the encryption and output location of the work group. The s3_staging_dir, encryption_option and kms_key parameters are gotten from dbConnect

tag_options

Helper function to create tag options for function create_work_group()

delete_work_group

Deletes the workgroup with the specified name (link). The primary workgroup cannot be deleted.

list_work_groups

Lists available workgroups for the account (link).

get_work_group

Returns information about the workgroup with the specified name (link).

update_work_group

Updates the workgroup with the specified name (link). The workgroup's name cannot be changed. The work group utilises parameters from the dbConnect object, to determine the encryption and output location of the work group. The s3_staging_dir, encryption_option and kms_key parameters are gotten from dbConnect

Usage

create_work_group(
  conn,
  work_group = NULL,
  enforce_work_group_config = FALSE,
  publish_cloud_watch_metrics = FALSE,
  bytes_scanned_cut_off = 10000000L,
  requester_pays = FALSE,
  description = NULL,
  tags = tag_options(key = NULL, value = NULL)
)

tag_options(key = NULL, value = NULL)

delete_work_group(conn, work_group = NULL, recursive_delete_option = FALSE)

list_work_groups(conn)

get_work_group(conn, work_group = NULL)

update_work_group(
  conn,
  work_group = NULL,
  remove_output_location = FALSE,
  enforce_work_group_config = FALSE,
  publish_cloud_watch_metrics = FALSE,
  bytes_scanned_cut_off = 10000000L,
  requester_pays = FALSE,
  description = NULL,
  state = c("ENABLED", "DISABLED"),
  engine_version = list()
)

Arguments

conn	A dbConnect object, as returned by dbConnect()
work_group	The Athena workgroup name.
enforce_work_group_config	If set to TRUE, the settings for the workgroup override client-side settings. If set to FALSE, client-side settings are used. For more information, see Workgroup Settings Override Client-Side Settings.
publish_cloud_watch_metrics	Indicates that the Amazon CloudWatch metrics are enabled for the workgroup.
bytes_scanned_cut_off	The upper data usage limit (cutoff) for the amount of bytes a single query in a workgroup is allowed to scan.
requester_pays	If set to TRUE, allows members assigned to a workgroup to reference Amazon S3 Requester Pays buckets in queries. If set to FALSE, workgroup members cannot query data from Requester Pays buckets, and queries that retrieve data from Requester Pays buckets cause an error. The default is false. For more information about Requester Pays buckets, see Requester Pays Buckets in the Amazon Simple Storage Service Developer Guide.
description	The workgroup description.
tags	A tag that you can add to a resource. A tag is a label that you assign to an AWS Athena resource (a workgroup). Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize workgroups in Athena, for example, by purpose, owner, or environment. Use a consistent set of tag keys to make it easier to search and filter workgroups in your account. The maximum tag key length is 128 Unicode characters in UTF-8. The maximum tag value length is 256 Unicode characters in UTF-8. You can use letters and numbers representable in UTF-8, and the following characters: "+ - = . _ : / @". Tag keys and values are case-sensitive. Tag keys must be unique per resource. Please use the helper function tag_options() to create tags for work group, if no tags are required please put NULL for this parameter.
key	A tag key. The tag key length is from 1 to 128 Unicode characters in UTF-8. You can use letters and numbers representable in UTF-8, and the following characters: "+ - = . _ : / @". Tag keys are case-sensitive and must be unique per resource.
value	A tag value. The tag value length is from 0 to 256 Unicode characters in UTF-8. You can use letters and numbers representable in UTF-8, and the following characters: "+ - = . _ : / @". Tag values are case-sensitive.
recursive_delete_option	The option to delete the workgroup and its contents even if the workgroup contains any named queries
remove_output_location	If set to TRUE, indicates that the previously-specified query results location (also known as a client-side setting) for queries in this workgroup should be ignored and set to null. If set to FALSE the out put location in the workgroup's result configuration will be updated with the new value. For more information, see Workgroup Settings Override Client-Side Settings.
state	The workgroup state that will be updated for the given workgroup.
engine_version	The engine version requested when a workgroup is updated. SelectedEngineVersion The engine version requested by the user. EffectiveEngineVersion The engine version on which the query runs.

Value

create_work_group

Returns NULL but invisible

tag_options

Returns list but invisible

delete_work_group

Returns NULL but invisible

list_work_groups

Returns list of available work groups

get_work_group

Returns list of work group meta data

update_work_group

Returns NULL but invisible

Examples

## Not run: 
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `RAthena::dbConnect` documnentation

library(RAthena)

# Demo connection to Athena using profile name
con <- dbConnect(RAthena::athena())

# List current work group available
list_work_groups(con)

# Create a new work group
wg <- create_work_group(con,
                  "demo_work_group",
                   description = "This is a demo work group",
                   tags = tag_options(key= "demo_work_group", value = "demo_01"))

# List work groups to see new work group
list_work_groups(con)

# get meta data from work group
wg <- get_work_group(con, "demo_work_group")

# Update work group
wg <- update_work_group(con, "demo_work_group",
                  description = "This is a demo work group update")


# get updated meta data from work group
wg <- get_work_group(con, "demo_work_group")

# Delete work group
delete_work_group(con, "demo_work_group")

# Disconect from Athena
dbDisconnect(con)

## End(Not run)

---