Skip to content

Azure/AzureTableStor

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
R
 
 
man
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

AzureTableStor

CRAN Downloads R-CMD-check

An R interface to the Azure table storage service, building on the functionality provided by AzureStor.

Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. The table storage service is available both as part of general Azure storage, and as an optional API in Azure Cosmos DB.

The primary repo for this package is at https://github.com/Azure/AzureTableStor; please submit issues and PRs there. It is also mirrored at the Cloudyr org at https://github.com/cloudyr/AzureTableStor. You can install the development version of the package with devtools::install_github("Azure/AzureTableStor").

Example

library(AzureTableStor)

# storage account endpoint
endp <- table_endpoint("https://mystorageacct.table.core.windows.net", key="mykey")
# Cosmos DB w/table API endpoint
endp <- table_endpoint("https://mycosmosdb.table.cosmos.azure.com:443", key="mykey")

create_storage_table(endp, "mytable")
list_storage_tables(endp)
tab <- storage_table(endp, "mytable")

insert_table_entity(tab, list(
    RowKey="row1",
    PartitionKey="partition1",
    firstname="Bill",
    lastname="Gates"
))

get_table_entity(tab, "row1", "partition1")

# specifying the entity as JSON text instead of a list
update_table_entity(tab,
'{
    "RowKey": "row1",
    "PartitionKey": "partition1",
    "firstname": "Satya",
    "lastname": "Nadella
}')

# we can import to the same table as above: table storage doesn't enforce a schema
import_table_entities(tab, mtcars,
    row_key=row.names(mtcars),
    partition_key=as.character(mtcars$cyl))

list_table_entities(tab)
list_table_entities(tab, filter="firstname eq 'Satya'")
list_table_entities(tab, filter="RowKey eq 'Toyota Corolla'")

About

R package for interfacing with Azure table storage

Topics

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages