delika R Client
Preview: This feature in preview state and might change or have limited support.
Package Name
delika
Requirements
- caTools
- httr
- jsonlite
- R6
Installation
Almost users install the latest version of delika package in the following code:
# choose your favorite CRAN instead of https://cloud.r-project.org
c(CRAN = "https://cloud.r-project.org", delika = "https://docs.delika.io/R")
repos <-
# install the package and its dependencies.
install.packages("delika", repos = repos)
If you need to install a specific version of the package, you can do in the following code:
c("https://cloud.r-project.org", "https://docs.delika.io/R")
repos <-
# create version filter
"0.0.1"
version <- function(available) {
version_filter <-"Version"] == version, , drop = FALSE]
available[available[,
} list(version_filter)
filters <-
# install the package and its dependencies.
install.packages("delika", repos = repos, filters = filters)
delika.apiv1 Package
delika depends on delika.apiv1 package, which is an API client geenrated by OpenAPI generator.
delika Package
delika is a wrapper package of delika.apiv1 for ease of use.
References
Functions
delika::new_token(host, open_browser)
: Get JWT.host
: API host (default: https://api.delika.io/v1).open_browser
: Boolean value that indicates your program opens your browser at the point.
delika::read_token(key, path)
: Read JWT from local file.key
: Key.path
: Local file path (default: $HOME/.delika/token.json).
delika::new_client(token, host)
: Create a new instance of ApiClient.token
: JWT.host
: API host (default: https://api.delika.io/v1).
delika::load_client(key, path, host)
: Create a new instance of ApiClient.key
: Key.path
: Local file path (default: $HOME/.delika/token.json).host
: API host (default: https://api.delika.io/v1).
delika::read_delika_data(account_name, dataset_name, data_name, client)
: Read data into a data frame.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name.client
: ApiClient instance.
delika::read_delika_sql(sql, client, query_timeout_sec)
: Run SQL and read the results into a data frame.sql
: SQL.client
: ApiClient instance.query_timeout_sec
: Timeout in second (default: 30)
delika::read_delika_query_results(query_id, client)
: Read the query results into a data frame.query_id
: Query ID.client
: ApiClient instance.
- deprecated
delika::to_delika(data, account_name, dataset_name, data_name, client)
: Upload data frame. This function is deprecated. Useto_delika_file
instead.data
: Data frame.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name.client
: ApiClient instance.
delika::to_delika_file(data, account_name, dataset_name, data_name, client)
: Upload data frame into data file dataset.data
: Data frame.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name.client
: ApiClient instance.
delika::to_delika_collection(data, partition_column_name, account_name, dataset_name, data_name, client)
: Upload data frame into data collection dataset.data
: Data frame.partition_column_name
: Partition column name in the data frame.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name (e.g. iffoo.csv
is given, uploaded file will be like2020__foo.csv
according to partition values).client
: ApiClient instance.
R6 Classes
delika::Jwt
: Data class to hold JWTtoken_type
: Bearer.access_token
: Access token.access_token_expires_on
: Expiration time of access token.refresh_token
: Refresh token.refresh_token_exipres_on
: Expiration time of refresh token.refresh(client)
: Refresh the current JWT.client
: OpenAPI client. It is convenient to use delika.ApiClient.refresh_jwt() instead of calling this method directly.
save(key, path)
: Save the current token in the specified path.key
: Token name.path
: Token file path (default: ~/.delika/token.json for Linux or macOS, %APPDATA%\delika\token.json for Windows)
delika::ApiClient
: A wrapper class for ApiClient generated by OpenAPI generator defined in delika.apiv1token
: JWT which is hold by the client.host
: The API host.refresh_token()
: Refresh the client's JWT.get_user_datasets()
: Get your datasets.get_account_datasets(account_name)
: Get the list of account's datasets.account_name
: Account name.
get_dataset_data(account_name, dataset_name)
: Get the list of dataset's data.account_name
: Account name.dataset_name
: Dataset name.
upload_data(account_name, dataset_name, data_name, schema, source, force_generate_table_definition)
: Download data.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name.schema
: Data schema.source
: Local file path to upload.force_generate_table_definition
: Indicates whether TableDefinition in data schema is generated automatically and replaces if TableDefinition is defined in the data schema.
download_data(account_name, dataset_name, data_name, destination)
: Download data.account_name
: Account name.dataset_name
: Dataset name.data_name
: Data name.destination
: Local file path or buffer to save.
start_query(sql)
: Post the SQL.sql
: SQL.
get_query_status(query_id)
: Get the query status.query_id
: Query ID.
download_query_results(query_id, destination)
: Download the query results.query_id
: Query ID.destination
: Local file path or buffer to save.
Data Types
delika | R |
---|---|
boolean | logical |
number | numeric |
factor | factor |
datetime | POSIXct |
text | character |
Examples
Basic Use
library(delika)
# get JWT (launch a browser)
new_token()
token <-# save JWT to the default path with the default key ('Default').
$save()
token# create a new API client.
new_client(token)
client <-
# you can create a new API client from saved JWT.
# client <- load_client()
# work with the API client.
client$get_user_datasets()
my_datasets <-print(my_datasets)
# when your access_token is expired, you can refresh your JWT.
$refresh_token()
client# you need to save explicitly.
$token.save() client
Data Frame
# read data as a data frame.
read_delika_data(account_name, dataset_name, data_name, client)
df1 <-
# read SQL results as a data frame.
read_delika_sql(sql, client)
df2 <-
# upload from your data frame into data file dataset.
to_delika_file(iris, account_name, dataset_name, "iris.csv", client)
# upload from your data frame into data collection dataset.
library(dplyr)
%>%
airquality mutate(yearmonth = sprintf("1973%02d", Month)) %>%
to_delika_collection("yearmonth", account_name, dataset_name, "airquality.csv", client)
Version History
- 0.0.3
- Support uploading files into data collection dataset
- Deprecate
to_delika
function
- 0.0.2
- Add
read_delika_query_results
function
- Add
- 0.0.1
- Initial release